default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMyong Kee Jeong
Myong K. Jeong
Person information
- affiliation: Rutgers University, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j89]Ajay Kumar, Alexandra Brintrup, Eric W. T. Ngai, Ravi Shankar, Myong K. Jeong:
Deep learning applications in operations research. Ann. Oper. Res. 339(1-2): 1-2 (2024)- [j88]Jeongsub Choi, Mengmeng Zhu, Jihoon Kang, Myong K. Jeong
:
Convolutional neural network based multi-input multi-output model for multi-sensor multivariate virtual metrology in semiconductor manufacturing. Ann. Oper. Res. 339(1-2): 185-201 (2024) - [j87]Sangahn Kim, Mehmet Turkoz, Myong K. Jeong, Elsayed A. Elsayed:
Monitoring of group-structured high-dimensional processes via sparse group LASSO. Ann. Oper. Res. 340(2): 891-911 (2024) - [j86]Jaeseung Baek, Myong K. Jeong, Elsayed A. Elsayed:
Spatial randomness-based anomaly detection approach for monitoring local variations in multimode surface topography. Ann. Oper. Res. 341(1): 173-195 (2024) - [j85]Jeongsub Choi, Youngdoo Son, Myong K. Jeong:
Gaussian kernel with correlated variables for incomplete data. Ann. Oper. Res. 341(1): 223-244 (2024) - [j84]Yi Yu, Jaeseung Baek, Ali Tosyali, Myong K. Jeong:
Robust asymmetric non-negative matrix factorization for clustering nodes in directed networks. Ann. Oper. Res. 341(1): 245-265 (2024) - [j83]Tianhui Wang, Yifan Xie, Youngseon Jeong, Myong K. Jeong:
Dynamic sparse PCA: a dimensional reduction method for sensor data in virtual metrology. Expert Syst. Appl. 251: 123995 (2024) - [j82]Yifan Xie, Tianhui Wang, Young-Seon Jeong, Ali Tosyali, Myong K. Jeong:
True sparse PCA for reducing the number of essential sensors in virtual metrology. Int. J. Prod. Res. 62(6): 2142-2157 (2024) - [j81]Taha J. Alhindi, Jaeseung Baek, Youngseon Jeong, Myong K. Jeong:
Orthogonal binary singular value decomposition method for automated windshield wiper fault detection. Int. J. Prod. Res. 62(9): 3383-3397 (2024) - [j80]Yifan Xie, Tianhui Wang, Myong K. Jeong, Gyeong Taek Lee:
Multi-source adaptive thresholding adaboost with application to virtual metrology. Int. J. Prod. Res. 62(17): 6344-6359 (2024) - [j79]Tianhui Wang, Jaeseung Baek, Myong Kee Jeong, Seongho Seo, Jaekyung Choi:
Multi-source AdaBoost with cross-weight method for virtual metrology in semiconductor manufacturing. Int. J. Prod. Res. 62(19): 7114-7129 (2024) - [j78]Yi Yu, Ali Tosyali, Jaeseung Baek, Myong K. Jeong:
A Novel Similarity-Based Link Prediction Approach for Transaction Networks. IEEE Trans. Engineering Management 71: 981-992 (2024) - 2023
- [j77]Jaeseung Baek, Taha J. Alhindi, Young-Seon Jeong, Myong K. Jeong, Seongho Seo, Jongseok Kang, We Shim, Yoseob Heo:
A wavelet-based real-time fire detection algorithm with multi-modeling framework. Expert Syst. Appl. 233: 120940 (2023) - [j76]Mejdal A. Alqahtani, Myong K. Jeong, Elsayed A. Elsayed:
Generalised spatially weighted autocorrelation approach for monitoring and diagnosing faults in 3D topographic surfaces. Int. J. Prod. Res. 61(2): 541-558 (2023) - [j75]Jaeseung Baek, Myong K. Jeong, Elsayed A. Elsayed:
Monitoring variations in multimode surface topography. Int. J. Prod. Res. 61(4): 1129-1145 (2023) - 2022
- [j74]Behnam Tavakkol, Jeongsub Choi, Myong Kee Jeong, Susan L. Albin:
Object-based cluster validation with densities. Pattern Recognit. 121: 108223 (2022) - [j73]Jaeseung Baek, Myong K. Jeong, Elsayed A. Elsayed:
Residual-Based Surface Segmentation for Monitoring Topographic Variations. IEEE Trans Autom. Sci. Eng. 19(1): 280-294 (2022) - [j72]Jeongsub Choi, Youngdoo Son, Myong K. Jeong:
Restricted Relevance Vector Machine for Missing Data and Application to Virtual Metrology. IEEE Trans Autom. Sci. Eng. 19(4): 3172-3183 (2022) - [j71]Jeongsub Choi, Ali Tosyali, Byunghoon Kim, Ho-Shin Lee, Myong Kee Jeong:
A Novel Method for Identifying Competitors Using a Financial Transaction Network. IEEE Trans. Engineering Management 69(4): 845-860 (2022) - 2021
- [j70]Ali Tosyali, Jeongsub Choi, Byunghoon Kim, Ho-Shin Lee, Myong K. Jeong:
A dynamic graph-based approach to ranking firms for identifying key players using inter-firm transactions. Ann. Oper. Res. 303(1): 5-27 (2021) - [j69]Behnam Tavakkol, Myong K. Jeong, Susan L. Albin:
Validity indices for clusters of uncertain data objects. Ann. Oper. Res. 303(1): 321-357 (2021) - [j68]Byunghoon Kim, Young-Seon Jeong, Myong K. Jeong:
New multivariate kernel density estimator for uncertain data classification. Ann. Oper. Res. 303(1): 413-431 (2021) - [j67]Gianluca Gazzola, Myong K. Jeong:
Support vector regression for polyhedral and missing data. Ann. Oper. Res. 303(1): 483-506 (2021) - [j66]Jeongsub Choi, Byunghoon Kim, Chang Hee Han, Hyuk Hahn, Hun Park, Jaeyoung Yoo, Myong Kee Jeong:
Methodology for assessing the contribution of knowledge services during the new product development process to business performance. Expert Syst. Appl. 167: 113860 (2021) - [j65]Mejdal A. Alqahtani, Myong K. Jeong, Elsayed A. Elsayed:
Spatially weighted graph theory-based approach for monitoring faults in 3D topographic surfaces. Int. J. Prod. Res. 59(21): 6382-6399 (2021) - [j64]Mejdal A. Alqahtani, Myong K. Jeong, Elsayed A. Elsayed:
Multi-Label Separation-Deviation Surface Model for Detecting Spatial Defects in Topographic Surfaces. IEEE Trans. Ind. Informatics 17(7): 4555-4565 (2021) - [j63]Behnam Tavakkol, Myong K. Jeong, Susan L. Albin:
Measures of Scatter and Fisher Discriminant Analysis for Uncertain Data. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1690-1703 (2021) - 2020
- [j62]Ali Tosyali, Jinho Kim, Jeongsub Choi, Yunyi Kang, Myong K. Jeong:
New node anomaly detection algorithm based on nonnegative matrix factorization for directed citation networks. Ann. Oper. Res. 288(1): 457-474 (2020) - [j61]Byunghoon Kim, Young-Seon Jeong, Seung Hoon Tong, Myong K. Jeong:
A generalised uncertain decision tree for defect classification of multiple wafer maps. Int. J. Prod. Res. 58(9): 2805-2821 (2020) - [j60]Mejdal A. Alqahtani, Myong K. Jeong, Elsayed A. Elsayed:
Multilevel spatial randomness approach for monitoring changes in 3D topographic surfaces. Int. J. Prod. Res. 58(18): 5545-5558 (2020) - [j59]Mehmet Turkoz, Sangahn Kim, Youngdoo Son, Myong K. Jeong, Elsayed A. Elsayed:
Generalized support vector data description for anomaly detection. Pattern Recognit. 100: 107119 (2020)
2010 – 2019
- 2019
- [j58]Gianluca Gazzola, Myong Kee Jeong:
Dependence-biased clustering for variable selection with random forests. Pattern Recognit. 96 (2019) - [j57]Ali Tosyali, Jinho Kim, Jeongsub Choi, Myong K. Jeong:
Regularized asymmetric nonnegative matrix factorization for clustering in directed networks. Pattern Recognit. Lett. 125: 750-757 (2019) - 2018
- [j56]Sangheum Hwang, Myong K. Jeong:
Robust relevance vector machine for classification with variational inference. Ann. Oper. Res. 263(1-2): 21-43 (2018) - [j55]Soo-Hyun Lee, Young-Seon Jeong, Jae-Yun Kim, Myong K. Jeong:
A new clustering validity index for arbitrary shape of clusters. Pattern Recognit. Lett. 112: 263-269 (2018) - 2017
- [j54]Jeongsub Choi, Byunghoon Kim, Hyuk Hahn, Hun Park, Yongil Jeong, Jaeyoung Yoo, Myong Kee Jeong:
Data mining-based variable assessment methodology for evaluating the contribution of knowledge services of a public research institute to business performance of firms. Expert Syst. Appl. 84: 37-48 (2017) - [j53]Behnam Tavakkol, Myong Kee Jeong, Susan L. Albin:
Object-to-group probabilistic distance measure for uncertain data classification. Neurocomputing 230: 143-151 (2017) - [j52]Jinho Kim, Myong K. Jeong, Elsayed A. Elsayed:
Monitoring multistage processes with autocorrelated observations. Int. J. Prod. Res. 55(8): 2385-2396 (2017) - [j51]Galal M. Abdella, Khalifa N. Al-Khalifa, Sangahn Kim, Myong K. Jeong, Elsayed A. Elsayed, Abdel Magid S. Hamouda:
Variable Selection-based Multivariate Cumulative Sum Control Chart. Qual. Reliab. Eng. Int. 33(3): 565-578 (2017) - [j50]Byunghoon Kim, Gianluca Gazzola, Jaekyung Yang, Jae-Min Lee, Byoung-Youl Coh, Myong K. Jeong, Young-Seon Jeong:
Two-phase edge outlier detection method for technology opportunity discovery. Scientometrics 113(1): 1-16 (2017) - 2016
- [j49]Taejin Park, Bong-Jin Yum, Ying Hung, Young-Seon Jeong, Myong K. Jeong:
Robust Kriging models in computer experiments. J. Oper. Res. Soc. 67(4): 644-653 (2016) - [j48]Dohyun Kim, Chungmok Lee, Sangheum Hwang, Myong K. Jeong:
A robust support vector regression with a linear-log concave loss function. J. Oper. Res. Soc. 67(5): 735-742 (2016) - [j47]Yong Chen, Myong K. Jeong:
Special Issue on INFORMS 2015 Annual Meeting. Qual. Reliab. Eng. Int. 32(8): 2637-2638 (2016) - [j46]Andrew Rodriguez, Ali Tosyali, Byunghoon Kim, Jeongsub Choi, Jae-Min Lee, Byoung-Youl Coh, Myong K. Jeong:
Patent Clustering and Outlier Ranking Methodologies for Attributed Patent Citation Networks for Technology Opportunity Discovery. IEEE Trans. Engineering Management 63(4): 426-437 (2016) - 2015
- [j45]Andrew Rodriguez, Byunghoon Kim, Jae-Min Lee, Byoung-Yul Coh, Myong K. Jeong:
Graph kernel based measure for evaluating the influence of patents in a patent citation network. Expert Syst. Appl. 42(3): 1479-1486 (2015) - [j44]Kang Zhao, Yao Xie, Kwok-Leung Tsui, Qingming Wei, Wenpo Huang, Wei Jiang, Yanting Li, Su Gon Cho, Seoung Bum Kim, Kaibo Liu, Jianjun Shi, Young-Seon Jeong, Byunghoon Kim, Seung Hoon Tong, In-Kap Chang, Myong Kee Jeong, Florent Charruaud, Lishuai Li:
System Informatics: From Methodology to Applications. IEEE Intell. Syst. 30(6): 12-29 (2015) - [j43]Chungmok Lee, Minh Pham, Myong Kee Jeong, Dohyun Kim, Dennis K. J. Lin, Wanpracha Art Chaovalitwongse:
A Network Structural Approach to the Link Prediction Problem. INFORMS J. Comput. 27(2): 249-267 (2015) - [j42]Sun-Hi Yoo, Byunghoon Kim, Myong Kee Jeong:
Modelling of technology lifetime based on patent citation data and segmentation. J. Oper. Res. Soc. 66(3): 450-462 (2015) - [j41]Young-Seon Jeong, Kyoung Seok Shin, Myong Kee Jeong:
An evolutionary algorithm with the partial sequential forward floating search mutation for large-scale feature selection problems. J. Oper. Res. Soc. 66(4): 529-538 (2015) - [j40]Sangheum Hwang, Dohyun Kim, Myong K. Jeong, Bong-Jin Yum:
Robust kernel-based regression with bounded influence for outliers. J. Oper. Res. Soc. 66(8): 1385-1398 (2015) - [j39]Andrew Rodriguez, Byunghoon Kim, Mehmet Turkoz, Jae-Min Lee, Byoung-Youl Coh, Myong Kee Jeong:
New multi-stage similarity measure for calculation of pairwise patent similarity in a patent citation network. Scientometrics 103(2): 565-581 (2015) - 2014
- [j38]Kyungsik Lee, Norman Kim, Myong K. Jeong:
The sparse signomial classification and regression model. Ann. Oper. Res. 216(1): 257-286 (2014) - [j37]Dohyun Kim, Bangrae Lee, Hyuck Jai Lee, Sang Pil Lee, Yeongho Moon, Myong Kee Jeong:
A Graph Kernel Approach for Detecting Core Patents and Patent Groups. IEEE Intell. Syst. 29(4): 44-51 (2014) - [j36]Philip Wilcox, Timothy M. Horton, Eunseog Youn, Myong K. Jeong, Derrick Tate, Timothy Herrman, Christian Nansen:
Evolutionary refinement approaches for band selection of hyperspectral images with applications to automatic monitoring of animal feed quality. Intell. Data Anal. 18(1): 25-42 (2014) - [j35]Byunghoon Kim, Gianluca Gazzola, Jae-Min Lee, Dohyun Kim, Kanghoe Kim, Myong K. Jeong:
Inter-cluster connectivity analysis for technology opportunity discovery. Scientometrics 98(3): 1811-1825 (2014) - [c2]Chungmok Lee, Minh Pham, Norman Kim, Myong K. Jeong, Dennis K. J. Lin, Wanpracha Art Chaovalitwongse:
A novel link prediction approach for scale-free networks. WWW (Companion Volume) 2014: 1333-1338 - 2013
- [j34]Minkoo Kang, Kiejin Park, Myong Kee Jeong:
Frame Packing for Minimizing the Bandwidth Consumption of the FlexRay Static Segment. IEEE Trans. Ind. Electron. 60(9): 4001-4008 (2013) - [j33]Francisco Moraes Oliveira-Neto, Lee D. Han, Myong Kee Jeong:
An Online Self-Learning Algorithm for License Plate Matching. IEEE Trans. Intell. Transp. Syst. 14(4): 1806-1816 (2013) - 2012
- [j32]Zheng Du, Young-Seon Jeong, Myong K. Jeong, Seong G. Kong:
Multidimensional local spatial autocorrelation measure for integrating spatial and spectral information in hyperspectral image band selection. Appl. Intell. 36(3): 542-552 (2012) - [j31]Kyoung Seok Shin, Young-Seon Jeong, Myong K. Jeong:
A two-leveled symbiotic evolutionary algorithm for clustering problems. Appl. Intell. 36(4): 788-799 (2012) - [j30]Jong In Park, Lu Liu, X. Philip Ye, Myong K. Jeong, Young-Seon Jeong:
Improved prediction of biomass composition for switchgrass using reproducing kernel methods with wavelet compressed FT-NIR spectra. Expert Syst. Appl. 39(1): 1555-1564 (2012) - [j29]Inho Kang, Myong K. Jeong, Dongjoon Kong:
A differentiated one-class classification method with applications to intrusion detection. Expert Syst. Appl. 39(4): 3899-3905 (2012) - [j28]Dohyun Kim, Bangrae Lee, Hyuck Jai Lee, Sang Pil Lee, Yeongho Moon, Myong K. Jeong:
Automated Detection of Influential Patents Using Singular Values. IEEE Trans Autom. Sci. Eng. 9(4): 723-733 (2012) - [j27]Norman Kim, Young-Seon Jeong, Myong Kee Jeong, Timothy M. Young:
Kernel Ridge Regression with Lagged-Dependent Variable: Applications to Prediction of Internal Bond Strength in a Medium Density Fiberboard Process. IEEE Trans. Syst. Man Cybern. Part C 42(6): 1011-1020 (2012) - [j26]Young-Seon Jeong, Inho Kang, Myong Kee Jeong, Dongjoon Kong:
A New Feature Selection Method for One-Class Classification Problems. IEEE Trans. Syst. Man Cybern. Part C 42(6): 1500-1509 (2012) - 2011
- [j25]Yi Fang, Jong In Park, Young-Seon Jeong, Myong K. Jeong, Seung H. Baek, Hyun-Woo Cho:
Enhanced predictions of wood properties using hybrid models of PCR and PLS with high-dimensional NIR spectral data. Ann. Oper. Res. 190(1): 3-15 (2011) - [j24]Jong In Park, Myong K. Jeong:
Recursive support vector censored regression for monitoring product quality based on degradation profiles. Appl. Intell. 35(1): 63-74 (2011) - [j23]Jeong Han, Norman Kim, Myong K. Jeong, Bong-Jin Yum:
Comparisons of classification methods in the original and pattern spaces. Expert Syst. Appl. 38(10): 12432-12438 (2011) - [j22]Jeong Han, Norman Kim, Bong-Jin Yum, Myong K. Jeong:
Pattern selection approaches for the logical analysis of data considering the outliers and the coverage of a pattern. Expert Syst. Appl. 38(11): 13857-13862 (2011) - [j21]Wanpracha Art Chaovalitwongse, Young-Seon Jeong, Myong Kee Jeong, Shabbar F. Danish, Stephen Wong:
Pattern Recognition Approaches for Identifying Subcortical Targets during Deep Brain Stimulation Surgery. IEEE Intell. Syst. 26(5): 54-63 (2011) - [j20]Young-Seon Jeong, Myong Kee Jeong, Olufemi A. Omitaomu:
Weighted dynamic time warping for time series classification. Pattern Recognit. 44(9): 2231-2240 (2011) - [j19]Olufemi A. Omitaomu, Myong Kee Jeong, Adedeji B. Badiru:
Online Support Vector Regression With Varying Parameters for Time-Dependent Data. IEEE Trans. Syst. Man Cybern. Part A 41(1): 191-197 (2011) - 2010
- [j18]Eunseog Youn, Lars Koenig, Myong K. Jeong, Seung H. Baek:
Support vector-based feature selection using Fisher's linear discriminant and Support Vector Machine. Expert Syst. Appl. 37(9): 6148-6156 (2010) - [j17]Sang Hyun Choi, Young-Seon Jeong, Myong Kee Jeong:
A Hybrid Recommendation Method with Reduced Data for Large-Scale Application. IEEE Trans. Syst. Man Cybern. Part C 40(5): 557-566 (2010)
2000 – 2009
- 2009
- [j16]Manoel Castro-Neto, Youngseon Jeong, Myong Kee Jeong, Lee D. Han:
AADT prediction using support vector regression with data-dependent parameters. Expert Syst. Appl. 36(2): 2979-2986 (2009) - [j15]Manoel Castro-Neto, Young-Seon Jeong, Myong Kee Jeong, Lee D. Han:
Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions. Expert Syst. Appl. 36(3): 6164-6173 (2009) - [j14]H.-W. Cho, Seung H. Baek, Eunseog Youn, Myong K. Jeong, A. Taylor:
A two-stage classification procedure for near-infrared spectra based on multi-scale vertical energy wavelet thresholding and SVM-based gradient-recursive feature elimination. J. Oper. Res. Soc. 60(8): 1107-1115 (2009) - [j13]Eunseog Youn, Myong K. Jeong:
Class dependent feature scaling method using naive Bayes classifier for text datamining. Pattern Recognit. Lett. 30(5): 477-485 (2009) - [j12]Jong In Park, Seung H. Baek, Myong K. Jeong, Suk Joo Bae:
Dual Features Functional Support Vector Machines for Fault Detection of Rechargeable Batteries. IEEE Trans. Syst. Man Cybern. Part C 39(4): 480-485 (2009) - 2008
- [j11]Hyun-Woo Cho, Kwang-Jae Kim, Myong Kee Jeong:
Determination of influential factors and diagnostics using multivariate statistical relationships between variables and faults. Expert Syst. Appl. 35(1-2): 30-40 (2008) - [j10]Hyun-Woo Cho, Myong Kee Jeong:
Enhanced prediction of misalignment conditions from spectral data using feature selection and filtering. Expert Syst. Appl. 35(1-2): 451-458 (2008) - [j9]Hyun-Woo Cho, Seoung Bum Kim, Myong Kee Jeong, Youngja Park, Thomas R. Ziegler, Dean P. Jones:
Genetic algorithm-based feature selection in high-resolution NMR spectra. Expert Syst. Appl. 35(3): 967-975 (2008) - [j8]Hyun-Woo Cho, Seoung Bum Kim, Myong Kee Jeong, Youngja Park, Nana Gletsu Miller, Thomas R. Ziegler, Dean P. Jones:
Discovery of metabolite features for the modelling and analysis of high-resolution NMR spectra. Int. J. Data Min. Bioinform. 2(2): 176-192 (2008) - [j7]Jong In Park, Seong Jun Kim, Myong K. Jeong:
A new tolerance design method for a secondary rechargeable battery using design of experiments with mixture. Qual. Reliab. Eng. Int. 24(5): 543-556 (2008) - [j6]Yi Fang, Myong K. Jeong:
Robust Probabilistic Multivariate Calibration Model. Technometrics 50(3): 305-316 (2008) - 2007
- [j5]Zheng Du, Myong K. Jeong, Seong G. Kong:
Band Selection of Hyperspectral Images for Automatic Detection of Poultry Skin Tumors. IEEE Trans Autom. Sci. Eng. 4(3): 332-339 (2007) - [j4]Olufemi A. Omitaomu, Myong Kee Jeong, Adedeji B. Badiru, J. Wesley Hines:
Online Support Vector Regression Approach for the Monitoring of Motor Shaft Misalignment and Feedwater Flow Rate. IEEE Trans. Syst. Man Cybern. Part C 37(5): 962-970 (2007) - 2006
- [j3]Myong K. Jeong, Jye-Chyi Lu, Xiaoming Huo, Brani Vidakovic, Di Chen:
Wavelet-Based Data Reduction Techniques for Process Fault Detection. Technometrics 48(1): 26-40 (2006) - [j2]Uk Jung, Myong K. Jeong, Jye-Chyi Lu:
A Vertical-Energy-Thresholding Procedure for Data Reduction With Multiple Complex Curves. IEEE Trans. Syst. Man Cybern. Part B 36(5): 1128-1138 (2006) - [c1]Yi Fang, Hyun-Woo Cho, Myong Kee Jeong:
Health monitoring of a shaft transmission system via hybrid models of PCR and PLS. SDM 2006: 554-558 - 2005
- [j1]Myong Kee Jeong, Matt Perry, Chen Zhou:
Throughput gain with parallel flow in automated flow lines. IEEE Trans Autom. Sci. Eng. 2(1): 84-86 (2005)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 20:33 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
