Renhai Chen

845 citations
59 papers · 664 · h-index 14

Impact in

Papers in

Renhai Chen

52 papers receiving 661 citations

Peers

Renhai Chen
Comparison fields: 5 of 54
  • Hardware and Architecture 292
  • Computer Networks and Communications 444
  • Computational Theory and Mathematics 65
  • Information Systems 86
  • Computer Vision and Pattern Recognition 66
Replace S. K. Nandy with:
S. K. Nandy India
Chun-Xun Lin United States
Sunggu Lee South Korea
Ruei‐Chuan Chang Taiwan
Michael D. Smith United States
Midia Reshadi Iran
Dezun Dong China
Kenneth C. Barr United States
Derek Pao Hong Kong
Angeliki Kritikakou France
Renhai Chen relative to S. K. Nandy India S. K. Nandy's profile →
Citations per field
00.5×6.9×
S. K. Nandy · 1×
Citations per year

Countries citing papers authored by Renhai Chen

Since Specialization
Citations

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

Fields of papers citing papers by Renhai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Renhai Chen, 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 Renhai Chen Line = papers co-authored together Renhai Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201780
2 201572
3 201450
4 201842
5 201428
6 201326
7 201625
8 200624
9 201324
10 201619
11 201517
12 201617
13 201716
14 201316
15 201813
16 201613
17 201913
18 202011
19 202110
20 201310

About Renhai Chen

Renhai Chen is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Information Systems and Computational Theory and Mathematics, having authored 59 papers that have together received 664 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (37 papers), Caching and Content Delivery (27 papers), Parallel Computing and Optimization Techniques (24 papers), Cellular Automata and Applications (7 papers), Cloud Computing and Resource Management (5 papers), Advanced Memory and Neural Computing (4 papers), Distributed and Parallel Computing Systems (4 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Hardware and Architecture (292 citations), Computer Networks and Communications (444 citations), Computational Theory and Mathematics (65 citations), Information Systems (86 citations) and Computer Vision and Pattern Recognition (66 citations). Renhai Chen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zili Shao, Yi Wang, Yong Guan, Duo Liu, Jalil Boukhobza, Stéphane Rubini, Zhiwei Qin, Yimei Kang, Jiawei Wang and Zhiyong Feng. Their work appears in journals such as Journal of Systems Architecture, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Computers, ACM Transactions on Design Automation of Electronic Systems and Software Practice and Experience.

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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