Understanding scientific collaboration: Homophily, transitivity, and preferential attachment C Zhang, Y Bu, Y Ding, J Xu Journal of the Association for Information Science and Technology 69 (1), 72-86, 2018 | 160 | 2018 |
Multimodal sentiment analysis based on fusion methods: A survey L Zhu, Z Zhu, C Zhang, Y Xu, X Kong Information Fusion 95, 306-325, 2023 | 133 | 2023 |
Standing on the shoulders of giants T Amjad, Y Ding, J Xu, C Zhang, A Daud, J Tang, M Song Journal of Informetrics 11 (1), 307-323, 2017 | 93 | 2017 |
Dynamic Scholarly Collaborator Recommendation via Competitive Multi-Agent Reinforcement Learning Y Zhang, C Zhang, X Liu RecSys '17, 331-335, 0 | 33* | |
Co‐contributorship network and division of labor in individual scientific collaborations C Lu, Y Zhang, YY Ahn, Y Ding, C Zhang, D Ma Journal of the Association for Information Science and Technology 71 (10 …, 2020 | 24 | 2020 |
A lead-lag analysis of the topic evolution patterns for preprints and publications B Hu, X Dong, C Zhang, TD Bowman, Y Ding, S Milojević, C Ni, E Yan, ... Journal of the Association for Information Science and Technology 66 (12 …, 2015 | 23 | 2015 |
Analyzing knowledge entities about COVID-19 using entitymetrics Q Yu, Q Wang, Y Zhang, C Chen, H Ryu, N Park, JE Baek, K Li, Y Wu, ... Scientometrics 126, 4491-4509, 2021 | 22 | 2021 |
Team power dynamics and team impact: New perspectives on scientific collaboration using career age as a proxy for team power H Xu, Y Bu, M Liu, C Zhang, M Sun, Y Zhang, E Meyer, E Salas, Y Ding Journal of the Association for Information Science and Technology 73 (10 …, 2022 | 21 | 2022 |
Contributorship in scientific collaborations: The perspective of contribution-based byline orders C Lu, C Zhang, C Xiao, Y Ding Information Processing & Management 59 (3), 102944, 2022 | 15 | 2022 |
The impact of heterogeneous shared leadership in scientific teams H Xu, M Liu, Y Bu, S Sun, Y Zhang, C Zhang, DE Acuna, S Gray, E Meyer, ... Information Processing & Management 61 (1), 103542, 2024 | 14 | 2024 |
Beyond correlation: Towards matching strategy for causal inference in Information Science X Dong, J Xu, Y Bu, C Zhang, Y Ding, B Hu, Y Ding Journal of Information Science 48 (6), 735-748, 2022 | 14 | 2022 |
Multi-feature representation based COVID-19 risk stage evaluation with transfer learning X Kong, N Li, C Zhang, G Shen, Z Ning, T Qiu IEEE Transactions on Network Science and Engineering 9 (3), 1359-1375, 2022 | 9 | 2022 |
KDRank: Knowledge-driven user-aware POI recommendation Z Liu, D Zhang, C Zhang, J Bian, J Deng, G Shen, X Kong Knowledge-Based Systems 278, 110884, 2023 | 8 | 2023 |
Understanding scientific collaboration from the perspective of collaborators and their network structures C Zhang, Y Bu, Y Ding iConference 2016, 2016 | 8 | 2016 |
Appnet: understanding app recommendation in google play Q Guo, H Wang, C Zhang, Y Guo, G Xu Proceedings of the 3rd ACM SIGSOFT International Workshop on App Market …, 2019 | 7 | 2019 |
Investigating scientific collaboration through the sequence of authors in the publication bylines and the diversity of collaborators Y Bu, C Zhang, Y Huang, CR Sugimoto, Z Chinchilla-Rodríguez Edizioni Efesto, 2019 | 7 | 2019 |
How others affect your Twitter# hashtag adoption? Examination of community-based and context-based information diffusion in Twitter C Zhang, Z Gao, X Liu iConference 2016, 2016 | 7 | 2016 |
Annotating Educational Dialog Act with Data Augmentation in Online One-on-One Tutoring D Shan, D Wang, C Zhang, B Kao, CKK Chan International Conference on Artificial Intelligence in Education, 472-477, 2023 | 6 | 2023 |
Diffusion models in text generation: a survey Q Yi, X Chen, C Zhang, Z Zhou, L Zhu, X Kong PeerJ Computer Science 10, e1905, 2024 | 5 | 2024 |
Does diversity of team members affect scientific success of a team? A preliminary study C Zhang, Y Bu, Y Ding iConference 2019 (31/03/2019-03/04/2019,,, Washington, DC), 2019 | 4 | 2019 |