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ORCIDMeijun Liu
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2020 – today
- 2025
[j21]Yunhan Yang
, Chenwei Zhang, Huimin Xu, Yi Bu, Meijun Liu, Ying Ding:
Gender differences in dropout rate: From field, career status, and generation perspectives. J. Informetrics 19(1): 101615 (2025)- [i5]Jiawei Xu, Qingnan Xie, Meijun Liu, Zhandos Sembay, Swathi Thaker, Pamela Payne-Foster, Jake Yue Chen, Ying Ding:
Decoding Patterns of Data Generation Teams for Clinical and Scientific Success: Insights from the Bridge2AI Talent Knowledge Graph. CoRR abs/2501.09897 (2025) - 2024
- [j20]Xinbin Wang, Jianxin Xiong, Jing Wang, Meijun Liu, Jiaxiong Zhang:
Spatiotemporal evolution and driving factors of tourism ecological adaptation in the Dongting Lake Area, China. Ecol. Informatics 80: 102459 (2024) - [j19]Huimin Xu, Meijun Liu, Yi Bu, Shujing Sun, Yi Zhang, Chenwei Zhang, Daniel E. Acuna, Steven Gray, Eric T. Meyer, Ying Ding:
The impact of heterogeneous shared leadership in scientific teams. Inf. Process. Manag. 61(1): 103542 (2024) - [j18]Meijun Liu, Zihan Xie, Alex Jie Yang, Chao Yu, Jian Xu, Ying Ding, Yi Bu:
The prominent and heterogeneous gender disparities in scientific novelty: Evidence from biomedical doctoral theses. Inf. Process. Manag. 61(4): 103743 (2024) - [j17]Yunhan Yang, Chenwei Zhang, Huimin Xu, Yi Bu, Meijun Liu, Ying Ding:
Unveiling the loss of exceptional women in science. Inf. Process. Manag. 61(6): 103829 (2024) - [j16]Alex Jie Yang, Huimin Xu, Ying Ding, Meijun Liu:
Unveiling the dynamics of team age structure and its impact on scientific innovation. Scientometrics 129(10): 6127-6148 (2024) - [c9]Alex Jie Yang, Yi Bu, Ying Ding, Meijun Liu:
Quantifying Scientific Novelty of Doctoral Theses with Bio-BERT Model. EEKE/AII@iConference 2024: 145-149 - 2023
- [c8]Angelo Antonio Salatino, Yi Bu, Ying Ding, Ágnes Horvát, Yong Huang, Meijun Liu, Paolo Manghi, Andrea Mannocci, Francesco Osborne, Daniel M. Romero, Dimitris Sacharidis, Misha Teplitskiy, Thanasis Vergoulis, Feng Xia, Yujia Zhai:
3rd International Workshop on Scientific Knowledge Representation, Discovery, and Assessment (Sci-K 2023). WWW (Companion Volume) 2023: 783 - [i4]Huimin Xu, Meijun Liu, Yi Bu, Shujing Sun, Yi Zhang, Chenwei Zhang, Daniel E. Acuna, Steven Gray, Eric T. Meyer, Ying Ding:
The Impact of Heterogeneous Shared Leadership in Scientific Teams. CoRR abs/2306.15804 (2023) - 2022
- [j15]Meijun Liu, Yi Bu, Chongyan Chen, Jian Xu, Daifeng Li, Yan Leng, Richard B. Freeman, Eric T. Meyer, Wonjin Yoon, Mujeen Sung, Minbyul Jeong, Jinhyuk Lee, Jaewoo Kang, Chao Min, Min Song, Yujia Zhai, Ying Ding:
Pandemics are catalysts of scientific novelty: Evidence from COVID-19. J. Assoc. Inf. Sci. Technol. 73(8): 1065-1078 (2022) - [j14]Huimin Xu, Yi Bu, Meijun Liu, Chenwei Zhang, Mengyi Sun, Yi Zhang, Eric T. Meyer, Eduardo Salas, Ying Ding:
Team power dynamics and team impact: New perspectives on scientific collaboration using career age as a proxy for team power. J. Assoc. Inf. Sci. Technol. 73(10): 1489-1505 (2022) - [j13]Yi Bu, Hanlin Li, Chunli Wei, Meijun Liu, Jiang Li:
On the relationship between supervisor-supervisee gender difference and scientific impact of doctoral dissertations: Evidence from Humanities and Social Sciences in China. J. Inf. Sci. 48(4): 492-502 (2022) - [j12]Meijun Liu, Ning Zhang, Xiao Hu, Ajay Jaiswal, Jian Xu, Hong Chen, Ying Ding, Yi Bu:
Further divided gender gaps in research productivity and collaboration during the COVID-19 pandemic: Evidence from coronavirus-related literature. J. Informetrics 16(2): 101295 (2022) - [j11]Meijun Liu, Xiao Hu:
Movers' advantages: The effect of mobility on scientists' productivity and collaboration. J. Informetrics 16(3): 101311 (2022) - [j10]Meijun Liu, Ajay Jaiswal, Yi Bu, Chao Min, Sijie Yang, Zhibo Liu, Daniel Daniel Acuña, Ying Ding:
Team formation and team impact: The balance between team freshness and repeat collaboration. J. Informetrics 16(4): 101337 (2022) - [j9]Qi Yu, Qi Wang, Yafei Zhang, Chongyan Chen, Hyeyoung Ryu, Namu Park, Jae-Eun Baek, Keyuan Li, Yifei Wu, Daifeng Li, Jian Xu, Meijun Liu, Jeremy J. Yang, Chenwei Zhang, Chao Lu, Peng Zhang, Xin Li, Baitong Chen, Islam Akef Ebeid, Julia Fensel, Chao Min, Yujia Zhai, Min Song, Ying Ding, Yi Bu:
Reply to issues about entitymetrics and paper-entity citation network. Scientometrics 127(4): 2127-2129 (2022) - [c7]Yi Bu, Meijun Liu, Yujia Zhai, Ying Ding, Feng Xia, Daniel E. Acuña, Yi Zhang:
International Workshop on Data-driven Science of Science. KDD 2022: 4856-4857 - [i3]Meijun Liu, Ajay Jaiswal, Yi Bu, Chao Min, Sijie Yang, Zhibo Liu, Daniel Daniel Acuña, Ying Ding:
Team formation and team performance: The balance between team freshness and repeat collaboration. CoRR abs/2205.08756 (2022) - 2021
- [j8]Meijun Liu, Xiao Hu:
Will collaborators make scientists move? A Generalized Propensity Score analysis. J. Informetrics 15(1): 101113 (2021) - [j7]Qi Yu, Qi Wang, Yafei Zhang, Chongyan Chen, Hyeyoung Ryu, Namu Park, Jae-Eun Baek, Keyuan Li, Yifei Wu, Daifeng Li, Jian Xu, Meijun Liu, Jeremy J. Yang, Chenwei Zhang, Chao Lu, Peng Zhang, Xin Li, Baitong Chen, Islam Akef Ebeid, Julia Fensel, Chao Min, Yujia Zhai, Min Song, Ying Ding, Yi Bu:
Analyzing knowledge entities about COVID-19 using entitymetrics. Scientometrics 126(5): 4491-4509 (2021) - [j6]Lei Shi, Congcong Huang, Meijun Liu, Jia Yan, Tao Jiang, Zhihao Tan, Yifan Hu, Wei Chen, Xiatian Zhang:
UrbanMotion: Visual Analysis of Metropolitan-Scale Sparse Trajectories. IEEE Trans. Vis. Comput. Graph. 27(10): 3881-3899 (2021) - [c6]Ajay Jaiswal, Meijun Liu, Ying Ding:
Understanding Parachuting Collaboration. iConference (1) 2021: 183-189 - [c5]Licheng Zhao, Yi Zuo, Katsutoshi Yada, Meijun Liu:
Application of Long Short-term Memory Based Neural Network for Classification of Customer Behavior. SMC 2021: 994-999 - [c4]Meijun Liu, Licheng Zhao, Fengmei Sun, Weizheng Zhao, Yi Zuo, Katsutoshi Yada:
Customer Behavior Analysis and Classification Based on Process Mining. SMC 2021: 1000-1005 - [i2]Huimin Xu, Yi Bu, Meijun Liu, Chenwei Zhang, Mengyi Sun, Yi Zhang, Eric T. Meyer, Eduardo Salas, Ying Ding:
Team Power and Hierarchy: Understanding Team Success. CoRR abs/2108.04108 (2021) - 2020
- [c3]Meijun Liu, Eva Zangerle, Xiao Hu, Alessandro B. Melchiorre, Markus Schedl:
Pandemics, music, and collective sentiment: evidence from the outbreak of COVID-19. ISMIR 2020: 157-165 - [i1]Meijun Liu, Yi Bu, Chongyan Chen, Jian Xu, Daifeng Li, Yan Leng, Richard Barry Freeman, Eric Meyer, Wonjin Yoon, Mujeen Sung, Minbyul Jeong, Jinhyuk Lee, Jaewoo Kang, Min Song, Yujia Zhai, Ying Ding:
Can pandemics transform scientific novelty? Evidence from COVID-19. CoRR abs/2009.12500 (2020)
2010 – 2019
- 2019
- [j5]Ting Xu, Changlei Wen, Lei Zhao, Meijun Liu, Xiang Zhang:
The Hybrid Model for Lane-Changing Detection at Freeway Off-Ramps Using Naturalistic Driving Trajectories. IEEE Access 7: 103716-103726 (2019) - 2018
- [j4]Meijun Liu, Xiao Hu, Yuandi Wang, Dongbo Shi:
Survive or perish: Investigating the life cycle of academic journals from 1950 to 2013 using survival analysis methods. J. Informetrics 12(1): 344-364 (2018) - [j3]Yuandi Wang, Yu Chen, Meijun Liu, Ruifeng Hu:
Growth and quality of Chinese journals from 1949 to 2013. Learn. Publ. 31(3): 205-214 (2018) - [c2]Xiao Hu, Ira Keung Kit Tam, Meijun Liu, J. Stephen Downie:
Music Artist Similarity: An Exploratory Study on a Large-Scale Dataset of Online Streaming Services. iConference 2018: 378-383 - 2017
- [j2]Yuandi Wang, Ruifeng Hu, Meijun Liu:
The geotemporal demographics of academic journals from 1950 to 2013 according to Ulrich's database. J. Informetrics 11(3): 655-671 (2017) - [c1]Meijun Liu, Xiao Hu, Markus Schedl:
Artist Preferences and Cultural, Socio-Economic Distances Across Countries: A Big Data Perspective. ISMIR 2017: 103-111 - 2011
- [j1]Lijie Ding, Yijia Cao, Guangzeng Wang, Meijun Liu:
Dynamical model and analysis of cascading failures on the complex power grids. Kybernetes 40(5/6): 814-823 (2011)
Coauthor Index
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