K. Y. Gao

5.8k total citations
5 papers, 18 citations indexed

About

K. Y. Gao is a scholar working on Molecular Biology, Social Psychology and Statistical and Nonlinear Physics. According to data from OpenAlex, K. Y. Gao has authored 5 papers receiving a total of 18 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Social Psychology and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in K. Y. Gao's work include vaccines and immunoinformatics approaches (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Protein Structure and Dynamics (1 paper). K. Y. Gao is often cited by papers focused on vaccines and immunoinformatics approaches (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Protein Structure and Dynamics (1 paper). K. Y. Gao collaborates with scholars based in China. K. Y. Gao's co-authors include Kun He, Jinsong Chen, Haiguang Liu, Liang He, Shufang Xie, Tie‐Yan Liu, Jinhua Zhu, Lijun Wu, Tao Qin and Yingce Xia and has published in prestigious journals such as International Journal of Heat and Mass Transfer and IEEE Transactions on Big Data.

In The Last Decade

K. Y. Gao

3 papers receiving 18 citations

Peers

Countries citing papers authored by K. Y. Gao

Since Specialization

Citations

This map shows the geographic impact of K. Y. Gao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by K. Y. Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Y. Gao more than expected).

Fields of papers citing papers by K. Y. Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Y. Gao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by K. Y. Gao. The network helps show where K. Y. Gao may publish in the future.

Co-authorship network of co-authors of K. Y. Gao

This figure shows the co-authorship network connecting the top 25 collaborators of K. Y. Gao. A scholar is included among the top collaborators of K. Y. Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with K. Y. Gao. K. Y. Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

#	Work	Indexed citations
1	FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation 2025 ·K. Y. Gao, (unknown), (unknown), Jinhua Zhu, Kun He, Lijun Wu	0
2	A physics-informed framework based on radial basis functions for forward and inverse heat conduction problems in anisotropic materials 2025 ·International Journal of Heat and Mass Transfer ·K. Y. Gao, Lin Qiu, Gang Li, Fajie Wang, Ji Lin, Yan Gu	1
3	ADCeleb: A Longitudinal Speech Dataset from Public Figures for Early Detection of Alzheimer’s Disease 2025 ·K. Y. Gao, (unknown), Najim Dehak, Laureano Moro-Velázquez	0
4	NAGphormer+: A Tokenized Graph Transformer With Neighborhood Augmentation for Node Classification in Large Graphs 2024 ·IEEE Transactions on Big Data ·Jinsong Chen, (unknown), K. Y. Gao, (unknown), Kun He	10
5	Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design 2023 ·K. Y. Gao, Lijun Wu, Jinhua Zhu, (unknown), Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie‐Yan Liu	7

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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