Gang Ren

50 total papers · 570 total citations
32 papers, 392 citations indexed

About

Gang Ren is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gang Ren has authored 32 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Human-Computer Interaction, 13 papers in Cognitive Neuroscience and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gang Ren's work include Tactile and Sensory Interactions (13 papers), Virtual Reality Applications and Impacts (10 papers) and Interactive and Immersive Displays (8 papers). Gang Ren is often cited by papers focused on Tactile and Sensory Interactions (13 papers), Virtual Reality Applications and Impacts (10 papers) and Interactive and Immersive Displays (8 papers). Gang Ren collaborates with scholars based in China, United Kingdom and South Korea. Gang Ren's co-authors include Eamonn O’Neill, Wenping Wang, Yong‐Liang Yang, Wenbin Li, Mingshan Zhu, Jee Hang Lee, Yi‐King Choi, Enya Wu, Jiayue Hu and Yu Yang and has published in prestigious journals such as Journal of Hazardous Materials, Chemical Engineering Journal and IEEE Access.

In The Last Decade

Gang Ren

27 papers receiving 375 citations

Author Peers

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

Author Last Decade Papers Cites
Gang Ren 204 146 107 47 41 32 392
Florina Ungureanu 85 0.4× 24 0.2× 124 1.2× 70 1.5× 18 0.4× 51 423
P. Primiceri 32 0.2× 35 0.2× 50 0.5× 83 1.8× 36 0.9× 32 427
Juan Luís Carús 34 0.2× 73 0.5× 29 0.3× 65 1.4× 73 1.8× 23 354
Artur Arsénio 45 0.2× 105 0.7× 42 0.4× 76 1.6× 9 0.2× 39 389
Seok‐Han Lee 62 0.3× 110 0.8× 27 0.3× 112 2.4× 10 0.2× 49 361
Balaji Ramachandran 65 0.3× 52 0.4× 132 1.2× 42 0.9× 4 0.1× 22 388
Salihu Aliyu 207 1.0× 110 0.8× 42 0.4× 34 0.7× 5 0.1× 16 377
Xiaochen Zhang 128 0.6× 91 0.6× 179 1.7× 63 1.3× 4 0.1× 29 368
Jiannan Li 105 0.5× 58 0.4× 26 0.2× 85 1.8× 5 0.1× 41 435
Fahmid Al Farid 55 0.3× 90 0.6× 22 0.2× 81 1.7× 14 0.3× 47 380

Countries citing papers authored by Gang Ren

Since Specialization
Citations

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

Fields of papers citing papers by Gang Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Ren

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