Bin Ren
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Computational Mathematics top 5%
Papers in
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- Advanced Neural Network Applications 23
- Graph Theory and Algorithms 7
- Advanced Image and Video Retrieval Techniques 7
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- Advanced Data Storage Technologies 9
- Interconnection Networks and Systems 8
- Distributed and Parallel Computing Systems 8
- Co-authors
- Shaoli Kang (8 shared papers)Shaohui Sun (5 shared papers)Wei Niu (28 shared papers)Kai Niu (5 shared papers)Yanzhi Wang (25 shared papers)Shanzhi Chen (1 shared paper)Qiubin Gao (1 shared paper)Gagan Agrawal (11 shared papers)
- Journals
- China Communications (4 papers)IEEE Transactions on Parallel and Distributed Systems (2 papers)IEEE Access (2 papers)ACM SIGPLAN Notices (2 papers)Communications of the ACM (1 paper)
- Partner nations
- United StatesChinaMexico
In The Last Decade
Bin Ren
89 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 103
- Hardware and Architecture 239
- Computational Mathematics 19
- Computer Vision and Pattern Recognition 409
- Computer Networks and Communications 423
- Electrical and Electronic Engineering 755
Countries citing papers authored by Bin Ren
This map shows the geographic impact of Bin 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 Bin Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Ren more than expected).
Fields of papers citing papers by Bin Ren
This network shows the impact of papers produced by Bin 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 Bin Ren. The network helps show where Bin Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Ren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 279 | |
| 2 | 2018 | 145 | |
| 3 | 2020 | 111 | |
| 4 | 2021 | 86 | |
| 5 | 2016 | 76 | |
| 6 | 2021 | 64 | |
| 7 | 2013 | 44 | |
| 8 | 2016 | 42 | |
| 9 | 2020 | 35 | |
| 10 | 2016 | 32 | |
| 11 | 2016 | 30 | |
| 12 | 2021 | 29 | |
| 13 | 2016 | 27 | |
| 14 | 2023 | 24 | |
| 15 | 2021 | 24 | |
| 16 | 2022 | 22 | |
| 17 | 2020 | 22 | |
| 18 | 2017 | 22 | |
| 19 | 2016 | 22 | |
| 20 | 2015 | 21 |
About Bin Ren
Bin Ren is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture and Electrical and Electronic Engineering, having authored 100 papers that have together received 1.6k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (24 papers), Advanced Neural Network Applications (23 papers), Advanced Wireless Communication Technologies (9 papers), Advanced Data Storage Technologies (9 papers), Interconnection Networks and Systems (8 papers), Distributed and Parallel Computing Systems (8 papers), Graph Theory and Algorithms (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). The work is most often cited by research in Hardware and Architecture (239 citations), Computational Mathematics (19 citations), Computer Vision and Pattern Recognition (409 citations), Computer Networks and Communications (423 citations) and Electrical and Electronic Engineering (755 citations). Bin Ren has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Shaoli Kang, Shaohui Sun, Wei Niu, Kai Niu, Yanzhi Wang, Shanzhi Chen, Qiubin Gao, Gagan Agrawal, Xue Lin and Yingmin Wang. Their work appears in journals such as China Communications, IEEE Transactions on Parallel and Distributed Systems, IEEE Access, ACM SIGPLAN Notices and Communications of the ACM.
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.