Guanghui Qin

37 total papers · 450 total citations
10 papers, 248 citations indexed

About

Guanghui Qin is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guanghui Qin has authored 10 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guanghui Qin's work include Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Guanghui Qin is often cited by papers focused on Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Guanghui Qin collaborates with scholars based in United States, China and United Kingdom. Guanghui Qin's co-authors include Jason Eisner, Jin-Ge Yao, Benjamin Van Durme, Chin-Yew Lin, Jinpeng Wang, Yukun Feng, Tongfei Chen, Aaron Steven White, Tatsat Banerjee and Jane Borleis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Cell Biology and arXiv (Cornell University).

In The Last Decade

Guanghui Qin

8 papers receiving 239 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Guanghui Qin	218	62	27	8	6	10	248
George Kour	167 0.8×	50 0.8×	22 0.8×	12 1.5×	3 0.5×	7	208
Ori Ram	230 1.1×	71 1.1×	30 1.1×	9 1.1×	9 1.5×	7	307
Yuxian Gu	255 1.2×	71 1.1×	44 1.6×	14 1.8×	14 2.3×	9	303
Nouha Dziri	247 1.1×	60 1.0×	16 0.6×	3 0.4×	6 1.0×	16	296
Honglun Zhang	205 0.9×	47 0.8×	27 1.0×	7 0.9×	9 1.5×	11	238
Nikita Nangia	265 1.2×	73 1.2×	22 0.8×	9 1.1×	6 1.0×	10	287
Thomas Scialom	156 0.7×	45 0.7×	17 0.6×	5 0.6×	4 0.7×	12	174
Shauli Ravfogel	254 1.2×	79 1.3×	18 0.7×	4 0.5×	6 1.0×	16	304
Yu Sun	173 0.8×	90 1.5×	19 0.7×	5 0.6×	8 1.3×	16	223
Suchin Gururangan	210 1.0×	43 0.7×	30 1.1×	7 0.9×	2 0.3×	12	264

Countries citing papers authored by Guanghui Qin

Since Specialization

Citations

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

Fields of papers citing papers by Guanghui Qin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanghui Qin

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