| The pace of artificial intelligence innovations: Speed, talent, and trial-and-error X Tang, X Li, Y Ding, M Song, Y Bu Journal of Informetrics 14 (4), 101094, 2020 | 53 | 2020 |
| Internationalizing AI: evolution and impact of distance factors X Tang, X Li, F Ma Scientometrics 127 (1), 181-205, 2022 | 13 | 2022 |
| Predicting the clinical citation count of biomedical papers using multilayer perceptron neural network X Li, X Tang, Q Cheng Journal of Informetrics 16 (4), 101333, 2022 | 10 | 2022 |
| Characterizing interdisciplinarity in drug research: A translational science perspective X Li, X Tang Journal of Informetrics 15 (4), 101216, 2021 | 5 | 2021 |
| Tracking biomedical articles along the translational continuum: a measure based on biomedical knowledge representation X Li, X Tang, W Lu Scientometrics 128 (2), 1295-1319, 2023 | 4 | 2023 |
| How to investigate the historical roots and evolution of research fields in China? A case study on iMetrics using RootCite X Li, Q Yao, X Tang, Q Li, M Wu Scientometrics 125, 1253-1274, 2020 | 3 | 2020 |
| Understanding team collaboration in artificial intelligence from the perspective of geographic distance X Tang, X Li, Y Ding, F Ma International Conference on Information, 14-23, 2021 | 2 | 2021 |
| How biomedical papers accumulated their clinical citations: A large-scale retrospective analysis based on PubMed X Li, X Tang, W Lu arXiv preprint arXiv:2404.01072, 2024 | | 2024 |
| Investigating drug translational research using PubMed articles X Li, X Tang arXiv preprint arXiv:2307.09056, 2023 | | 2023 |
| Understanding Team Collaboration in Artificial Intelligence from the perspective of Geographic Distance X Tang, X Li, Y Ding, F Ma arXiv preprint arXiv:2012.13560, 2020 | | 2020 |
