About Zhentao

Zhentao Liang (梁镇涛) is a postdoctoral researcher at the School of Information, Wuhan University. His research focuses on scientometric approaches to understanding the dynamics of scientific knowledge, with particular emphasis on the identification, measurement, and prediction of emerging and interdisciplinary research topics.

He works closely together with Prof. Gang Li, Prof. Jin Mao, and Dr. Nees Jan van Eck.

Key publications

Citation importance-aware document representation learning for large-scale science mapping

Zhentao Liang, Nees Jan van Eck, Xuehua Wu, Jin Mao, Gang Li

Information Processing & Management, vol. 63, 2026, p. 104557

Bias against scientific novelty: A prepublication perspective

Zhentao Liang, Jin Mao, Gang Li

Journal of the Association for Information Science and Technology, vol. 74, 2023, pp. 99--114

Research complexity increases with scientists’ academic age: Evidence from library and information science

Zhentao Liang, Zhichao Ba, Jin Mao, Gang Li

Journal of Informetrics, vol. 17, 2023, p. 101375

Combining deep neural network and bibliometric indicator for emerging research topic prediction

Zhentao Liang, Jin Mao, Kun Lu, Zhichao Ba, Gang Li

Information Processing & Management, vol. 58, 2021, p. 102611

Finding citations for PubMed: a large-scale comparison between five freely available bibliographic data sources

Zhentao Liang, Jin Mao, Kun Lu, Gang Li

Scientometrics, vol. 126, 2021, pp. 9519--9542