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The pace of artificial intelligence innovations: Speed, talent, and trial-and-error.

, , , , и . J. Informetrics, 14 (4): 101094 (2020)

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Tang Tang

Fei Tang

Junhua Tang

Jian Tang

Xiaofang Tang

 

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Tracking biomedical articles along the translational continuum: a measure based on biomedical knowledge representation., , и . CoRR, (2022)Understanding Team Collaboration in Artificial Intelligence from the perspective of Geographic Distance., , , и . CoRR, (2020)New Forest Aboveground Biomass Maps of China Integrating Multiple Datasets., , , , , , , , , и 10 other автор(ы). Remote. Sens., 13 (15): 2892 (2021)Tracking biomedical articles along the translational continuum: a measure based on biomedical knowledge representation., , и . Scientometrics, 128 (2): 1295-1319 (февраля 2023)Predicting the clinical citation count of biomedical papers using multilayer perceptron neural network., , и . CoRR, (2022)The Pace of Artificial Intelligence Innovations: Speed, Talent, and Trial-and-Error., , , , и . CoRR, (2020)Understanding Team Collaboration in Artificial Intelligence from the Perspective of Geographic Distance., , , и . iConference (1), том 12645 из Lecture Notes in Computer Science, стр. 14-23. Springer, (2021)Characterizing interdisciplinarity in drug research: A translational science perspective., и . J. Informetrics, 15 (4): 101216 (2021)How to investigate the historical roots and evolution of research fields in China? A case study on iMetrics using RootCite., , , , и . Scientometrics, 125 (2): 1253-1274 (2020)Internationalizing AI: evolution and impact of distance factors., , и . Scientometrics, 127 (1): 181-205 (2022)