Bin Ren

2.8k citations
106 papers · 1.8k · h-index 22

Impact in

Papers in

Bin Ren

96 papers receiving 1.8k citations

Peers

Bin Ren
Comparison fields: 5 of 103
  • Computational Mathematics 23
  • Hardware and Architecture 270
  • Computer Vision and Pattern Recognition 550
  • Computer Networks and Communications 470
  • Electrical and Electronic Engineering 851
Replace Liu Liu with:
Liu Liu China
Caiwen Ding United States
Eriko Nurvitadhi United States
John Glossner United States
Xue Lin United States
Chong‐Min Kyung South Korea
Ardavan Pedram United States
Jaewoong Sim United States
Bin Ren relative to Liu Liu China Liu Liu's profile →
Citations per field
00.5×2×3×3.6×
Liu Liu · 1×
Citations per year

Countries citing papers authored by Bin Ren

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016291
2 2018153
3 2020119
4 202295
5 202189
6 201687
7 202166
8 201347
9 201647
10 202037
11 202135
12 201633
13 201630
14 201629
15 202126
16 202324
17 201724
18 202223
19 201623
20 201522

About Bin Ren

Bin Ren is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence and Electrical and Electronic Engineering, having authored 106 papers that have together received 1.8k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (26 papers), Advanced Neural Network Applications (25 papers), Advanced Data Storage Technologies (11 papers), Advanced Wireless Communication Technologies (10 papers), Distributed and Parallel Computing Systems (10 papers), Advanced Image and Video Retrieval Techniques (8 papers), Interconnection Networks and Systems (8 papers) and Graph Theory and Algorithms (7 papers). The work is most often cited by research in Computational Mathematics (23 citations), Hardware and Architecture (270 citations), Computer Vision and Pattern Recognition (550 citations), Computer Networks and Communications (470 citations) and Electrical and Electronic Engineering (851 citations). Bin Ren has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Shaoli Kang, Shaohui Sun, Wei Niu, Yanzhi Wang, Kai Niu, Shanzhi Chen, Qiubin Gao, Gagan Agrawal, Yingmin Wang and Xue Lin. Their work appears in journals such as China Communications, ACM SIGPLAN Notices, IEEE Access, IEEE Transactions on Parallel and Distributed Systems and IEEE Journal on Selected Areas in Communications.

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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