Jingyang Gao

98 total papers · 1.0k total citations
55 papers, 659 citations indexed

About

Jingyang Gao is a scholar working on Molecular Biology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jingyang Gao has authored 55 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 14 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jingyang Gao's work include Genomics and Phylogenetic Studies (18 papers), Gene expression and cancer classification (12 papers) and Machine Learning in Bioinformatics (8 papers). Jingyang Gao is often cited by papers focused on Genomics and Phylogenetic Studies (18 papers), Gene expression and cancer classification (12 papers) and Machine Learning in Bioinformatics (8 papers). Jingyang Gao collaborates with scholars based in China, United States and Japan. Jingyang Gao's co-authors include Lei Cai, Di Zhao, Yufeng Wu, Cheng Ling, Man Li, Jinzhen Fan, Tingrui Pan, Yongming Han, Xingchun Wang and Zhiqiang Geng and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Jingyang Gao

42 papers receiving 640 citations

Hit Papers

A review of the applicati... 2020 2026 2022 2024 2020 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jingyang Gao 160 154 132 103 77 55 659
Michalis Zervakis 189 1.2× 214 1.4× 100 0.8× 95 0.9× 89 1.2× 47 770
Ioannis Valavanis 173 1.1× 168 1.1× 100 0.8× 152 1.5× 52 0.7× 34 695
Spiros Kostopoulos 249 1.6× 307 2.0× 77 0.6× 127 1.2× 113 1.5× 66 613
Farhad Maleki 119 0.7× 168 1.1× 193 1.5× 54 0.5× 61 0.8× 46 715
Suling Xu 215 1.3× 71 0.5× 103 0.8× 99 1.0× 52 0.7× 53 748
Zhiwen Huang 81 0.5× 92 0.6× 249 1.9× 88 0.9× 32 0.4× 42 615
Xin Luo 168 1.1× 129 0.8× 354 2.7× 182 1.8× 59 0.8× 42 776
Reinel Tabares-Soto 174 1.1× 113 0.7× 142 1.1× 159 1.5× 35 0.5× 46 616
Siow‐Wee Chang 173 1.1× 97 0.6× 123 0.9× 56 0.5× 78 1.0× 28 760
Jie Xue 147 0.9× 236 1.5× 146 1.1× 173 1.7× 53 0.7× 49 743

Countries citing papers authored by Jingyang Gao

Since Specialization
Citations

This map shows the geographic impact of Jingyang 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 Jingyang Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingyang Gao more than expected).

Fields of papers citing papers by Jingyang Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jingyang 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 Jingyang Gao. The network helps show where Jingyang Gao may publish in the future.

Co-authorship network of co-authors of Jingyang Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Jingyang Gao. A scholar is included among the top collaborators of Jingyang 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 Jingyang Gao. Jingyang 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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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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