Bingcai Chen

1.2k citations
64 papers · 872 · h-index 17

Impact in

Papers in

Bingcai Chen

52 papers receiving 858 citations

Peers

Bingcai Chen
Comparison fields: 5 of 80
  • Signal Processing 149
  • Computer Networks and Communications 309
  • Electrical and Electronic Engineering 405
  • Automotive Engineering 79
  • Software 21
Replace Jun Han with:
Jun Han South Korea
Feng Luo China
Sungmin Hong South Korea
Vireshwar Kumar United States
Lei Lei China
Qiao Xiang China
Bohan Zhang China
Yitong Liu China
Zhi Cai China
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Bingcai Chen relative to Jun Han South Korea Jun Han's profile →
Citations per field
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Citations per year

Countries citing papers authored by Bingcai Chen

Since Specialization
Citations

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

Fields of papers citing papers by Bingcai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020108
2 201994
3 201857
4 201951
5 201851
6 201943
7 202043
8 202243
9 201841
10 201939
11 202234
12 201921
13 201920
14 202219
15 202017
16 201716
17 201816
18 201812
19 201811
20 202010

About Bingcai Chen

Bingcai Chen is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 64 papers that have together received 872 indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (9 papers), Advanced Wireless Communication Technologies (8 papers), Satellite Communication Systems (7 papers), Advanced MIMO Systems Optimization (6 papers), Full-Duplex Wireless Communications (5 papers), UAV Applications and Optimization (5 papers), Cooperative Communication and Network Coding (5 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Signal Processing (149 citations), Computer Networks and Communications (309 citations), Electrical and Electronic Engineering (405 citations), Automotive Engineering (79 citations) and Software (21 citations). Bingcai Chen has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Qian Ning, Iftikhar Hussain, Nan Zhao, Chao Yu, Yunfei Chen, Haomin Wu, Zhiguo Ding, Pengpeng Li, Bing Wang and Yingde Wang. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Access, Wireless Personal Communications, Physical Communication and International Journal of Satellite Communications and Networking.

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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