Hui Ren

100 total papers · 2.3k total citations
49 papers, 853 citations indexed

About

Hui Ren is a scholar working on Media Technology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hui Ren has authored 49 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Media Technology, 11 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hui Ren's work include Advanced Optical Imaging Technologies (11 papers), Virtual Reality Applications and Impacts (7 papers) and COVID-19 diagnosis using AI (4 papers). Hui Ren is often cited by papers focused on Advanced Optical Imaging Technologies (11 papers), Virtual Reality Applications and Impacts (7 papers) and COVID-19 diagnosis using AI (4 papers). Hui Ren collaborates with scholars based in China, United States and South Korea. Hui Ren's co-authors include Qiong‐Hua Wang, Han-Le Zhang, Zhi-Bin Fan, Xiao-Ning Pang, Lin Liu, Hao-Yang Qiu, Lidan Zhou, Jian‐Wen Dong, Huan Deng and Hong Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Optics Letters.

In The Last Decade

Hui Ren

43 papers receiving 787 citations

Author Peers

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

Author Last Decade Papers Cites
Hui Ren 221 214 164 136 100 49 853
Eric J. Seibel 47 0.2× 40 0.2× 67 0.4× 287 2.1× 11 0.1× 37 873
Zehao He 535 2.4× 121 0.6× 453 2.8× 111 0.8× 71 0.7× 46 898
Richard Murray 23 0.1× 59 0.3× 136 0.8× 121 0.9× 16 0.2× 50 1.0k
Eric J. Tremblay 99 0.4× 30 0.1× 113 0.7× 284 2.1× 28 0.3× 41 767
Yu Wang 24 0.1× 164 0.8× 297 1.8× 139 1.0× 123 1.2× 71 934
Praneeth Chakravarthula 547 2.5× 54 0.3× 370 2.3× 92 0.7× 43 0.4× 39 870
Pierre Lemaı̂tre-Auger 152 0.7× 44 0.2× 55 0.3× 101 0.7× 252 2.5× 59 774
Jian Chen 38 0.2× 20 0.1× 45 0.3× 72 0.5× 40 0.4× 80 842
Kenichiro Masaoka 197 0.9× 34 0.2× 307 1.9× 59 0.4× 116 1.2× 74 837
Jonghyun Kim 687 3.1× 143 0.7× 419 2.6× 110 0.8× 48 0.5× 35 949

Countries citing papers authored by Hui Ren

Since Specialization
Citations

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

Fields of papers citing papers by Hui Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Ren

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