Bibliometric analysis of research talent evaluation in Chinese universities: data mining approach

Yan ZHUANG , Huiwen WANG , Shuai MA , Yang LIU

Front. Comput. Sci. ›› 2025, Vol. 19 ›› Issue (12) : 1912374

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Front. Comput. Sci. ›› 2025, Vol. 19 ›› Issue (12) : 1912374 DOI: 10.1007/s11704-025-50029-4
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Bibliometric analysis of research talent evaluation in Chinese universities: data mining approach

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Yan ZHUANG, Huiwen WANG, Shuai MA, Yang LIU. Bibliometric analysis of research talent evaluation in Chinese universities: data mining approach. Front. Comput. Sci., 2025, 19(12): 1912374 DOI:10.1007/s11704-025-50029-4

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References

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Ma T, Zhao S . An analysis on the ability evaluation of scientific research talents in universities based on grounded theory. Science & Technology Progress and Policy, 2022, 39( 21): 143–150

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Liu S, Wu K M, Zhang H O . The turn of China’s scientific and technological talents evaluation: an analysis based on the national innovation system. Science and Technology Management Research, 2021, 41( 16): 55–62

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Gao Y, Wang X, He X N, Feng H M, Zhang Y D . Rumor detection with self-supervised learning on texts and social graph. Frontiers of Computer Science, 2023, 17( 4): 174611

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Chen F S, Zhang Y F, Chen L, Meng X K, Qi Y Q, Wang J H . Dynamic traveling time forecasting based on spatial-temporal graph convolutional networks. Frontiers of Computer Science, 2023, 17( 6): 176615

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Cheng D W, Zou Y, Xiang S, Jiang C J . Graph neural networks for financial fraud detection: a review. Frontiers of Computer Science, 2025, 19( 9): 199609

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