Qing-Bin Gao

27 total papers · 739 total citations
26 papers, 585 citations indexed

About

Qing-Bin Gao is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Qing-Bin Gao has authored 26 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Qing-Bin Gao's work include Machine Learning in Bioinformatics (11 papers), RNA and protein synthesis mechanisms (6 papers) and Computational Drug Discovery Methods (4 papers). Qing-Bin Gao is often cited by papers focused on Machine Learning in Bioinformatics (11 papers), RNA and protein synthesis mechanisms (6 papers) and Computational Drug Discovery Methods (4 papers). Qing-Bin Gao collaborates with scholars based in China, United States and Norway. Qing-Bin Gao's co-authors include Zhengzhi Wang, Jia He, Xiaofei Ye, Shiliang Sun, Zhichao Jin, Chun Yan, Hainan Wang, Yalin Sun, Cheng Wu and Jiajie Zang and has published in prestigious journals such as PLoS ONE, Analytical Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Qing-Bin Gao

25 papers receiving 568 citations

Author Peers

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

Author						Papers	Cites
Qing-Bin Gao	282	95	82	77	59	26	585
Chuanbiao Wen	168 0.6×	27 0.3×	60 0.7×	84 1.1×	11 0.2×	54	609
Hua Zou	173 0.6×	145 1.5×	95 1.2×	67 0.9×	18 0.3×	55	547
Gang Tian	240 0.9×	49 0.5×	203 2.5×	152 2.0×	24 0.4×	17	532
Huan Li	272 1.0×	90 0.9×	12 0.1×	28 0.4×	9 0.2×	33	540
Kristina Star	62 0.2×	9 0.1×	79 1.0×	43 0.6×	311 5.3×	31	660
Éric Zapletal	142 0.5×	42 0.4×	10 0.1×	145 1.9×	10 0.2×	34	635
Jelili Oyelade	225 0.8×	26 0.3×	72 0.9×	108 1.4×	6 0.1×	48	563
Sungkyu Jung	129 0.5×	43 0.5×	36 0.4×	108 1.4×	9 0.2×	53	585
Qingchun Huang	195 0.7×	19 0.2×	122 1.5×	77 1.0×	2 0.0×	26	532
Minghu Song	271 1.0×	142 1.5×	162 2.0×	140 1.8×	5 0.1×	14	677

Countries citing papers authored by Qing-Bin Gao

Since Specialization

Citations

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

Fields of papers citing papers by Qing-Bin Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing-Bin Gao

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