Jin Ren

41 papers receiving 810 citations

Peers

Jin Ren
Comparison fields: 5 of 92
  • Hardware and Architecture 94
  • Computer Networks and Communications 257
  • Mechanical Engineering 237
  • Information Systems 111
  • Biomedical Engineering 211
Replace Madhusudan Iyengar with:
Madhusudan Iyengar United States
Mongkol Ekpanyapong Thailand
Kim South Korea
Domenico Balsamo United Kingdom
Maurizio Rossi Italy
Bharat S. Chaudhari India
Sha Ma China
Di Zhu China
Dae Hyun Kim United States
Jin Ren relative to Madhusudan Iyengar United States Madhusudan Iyengar's profile →
Citations per field
00.5×1.5×1.8×
Madhusudan Iyengar · 1×
Citations per year

Countries citing papers authored by Jin Ren

Since Specialization
Citations

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

Fields of papers citing papers by Jin Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jin Ren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jin Ren Line = papers co-authored together Jin Ren links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011132
2 2012107
3 2009102
4 200653
5 201347
6 201934
7 200427
8 201327
9 202427
10 202321
11 200621
12 201917
13 200617
14 201017
15 200717
16 201416
17 201915
18 202212
19 202112
20 201412

About Jin Ren

Jin Ren is a scholar working on Artificial Intelligence, Mechanical Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 45 papers that have together received 854 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (5 papers), Advanced machining processes and optimization (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (3 papers), Plant responses to elevated CO2 (3 papers), Parallel Computing and Optimization Techniques (3 papers), Light effects on plants (3 papers) and Cloud Data Security Solutions (3 papers). The work is most often cited by research in Hardware and Architecture (94 citations), Computer Networks and Communications (257 citations), Mechanical Engineering (237 citations), Information Systems (111 citations) and Biomedical Engineering (211 citations). Jin Ren has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Qing Yang, C. Madden, Jongwook Kim, Brian Leibowitz, Weijun Xiao, Changfeng Yao, Xin‐Chao Huang, Daoxia Wu, Qiang Lin and Li Tan. Their work appears in journals such as Advances in Space Research, Computers & Electrical Engineering, IEEE Transactions on Intelligent Transportation Systems, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture and Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery.

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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