| Deep reinforcement learning for transportation network combinatorial optimization: A survey Q Wang, C Tang Knowledge-Based Systems 233, 107526, 2021 | 94 | 2021 |
| The Data Industry: The Business and Economics of Information and Big Data. C Tang John Wiley & Sons, Inc., 2016 | 37 | 2016 |
| Heterogeneous network embedding enabling accurate disease association predictions Y Xiong, M Guo, L Ruan, X Kong, C Tang, Y Zhu, W Wang BMC medical genomics 12, 1-17, 2019 | 23 | 2019 |
| Rethinking data sharing at the dawn of a health data economy: a viewpoint C Tang, JM Plasek, DW Bates Journal of medical Internet research 20 (11), e11519, 2018 | 22 | 2018 |
| Sequence Clustering Algorithms Based on Global and Local Similarity D Dai, C Tang, Y Xiong Journal of Software 21 (4), 702-717, 2010 | 20* | 2010 |
| Solving combinatorial optimization problems over graphs with BERT-Based Deep Reinforcement Learning Q Wang, KH Lai, C Tang Information Sciences 619, 930-946, 2023 | 19 | 2023 |
| dbHCCvar: A Comprehensive Database of Human Genetic Variations in Hepatocellular Carcinoma X Yu, F Fang, C Tang, L Yao, L Yu, L Yu Human mutation 32 (12), E2308-E2316, 2011 | 16 | 2011 |
| An annotated dataset of tongue images supporting geriatric disease diagnosis D Shi, C Tang, SV Blackley, L Wang, J Yang, Y He, SI Bennett, Y Xiong, ... Data in Brief, 106153, 2020 | 12 | 2020 |
| Data sovereigns for the world economy C Tang, JM Plasek, Y Zhu, Y Huang Humanities and Social Sciences Communications 7 (1), 1-4, 2020 | 10 | 2020 |
| Following data as it crosses borders during the COVID-19 pandemic JM Plasek, C Tang, Y Zhu, Y Huang, DW Bates Journal of the American Medical Informatics Association 27 (7), 1139-1141, 2020 | 9 | 2020 |
| Predicting disease-related associations by heterogeneous network embedding Y Xiong, L Ruan, M Guo, C Tang, X Kong, Y Zhu, W Wang 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 9 | 2018 |
| Comment topic evolution on a cancer institution’s Facebook page C Tang, L Zhou, J Plasek, R Rozenblum, D Bates Applied clinical informatics 8 (03), 854-865, 2017 | 9 | 2017 |
| Radiology report generation for rare diseases via few-shot transformer X Jia, Y Xiong, J Zhang, Y Zhang, B Suzanne, Y Zhu, C Tang 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 8 | 2021 |
| Data Capital: How Data is Reinventing Capital for Globalization C Tang Springer, Cham, 2021 | 8* | 2021 |
| A Clustering Algorithm Based on Document Embedding to Identify Clinical Note Templates C Tang, JM Plasek, Z Zhang, Y Xiong, DW Bates, L Zhou Ann. Data. Sci., https://doi.org/10.1007/s40745-020-00296, 2020 | 7* | 2020 |
| A temporal visualization of chronic obstructive pulmonary disease progression using deep learning and unstructured clinical notes C Tang, JM Plasek, H Zhang, MJ Kang, H Sheng, Y Xiong, DW Bates, ... BMC medical informatics and decision making 19, 1-9, 2019 | 7 | 2019 |
| Developing a regional classifier to track patient needs in medical literature using spiral timelines on a geographical map C Tang, H Zhang, KH Lai, Y She, Y Xiong, L Zhou 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 7 | 2017 |
| Similarity Query of Time Series Sub-Sequences Based on LSH C Tang, J Dong Chinese Journal of Computers 35 (11), 2228-2236, 2012 | 7* | 2012 |
| Mastering construction heuristics with self-play deep reinforcement learning Q Wang, Y He, C Tang Neural Computing and Applications 35 (6), 4723-4738, 2023 | 6 | 2023 |
| Visualizing literature review theme evolution on timeline maps: comparison across disciplines C Tang, Y Zhu, SV Blackley, JM Plasek, M Wan, L Zhou, J Ma, DW Bates IEEE Access 7, 90597-90607, 2019 | 6 | 2019 |
David BatesProfessor of Medicine, Harvard Medical School在 partners.org 的电子邮件经过验证
