Bin Dai

627 citations
66 papers · 441 · h-index 12

Impact in

Papers in

Bin Dai

57 papers receiving 437 citations

Peers

Bin Dai
Comparison fields: 5 of 44
  • Computer Networks and Communications 209
  • Electrical and Electronic Engineering 321
  • Control and Systems Engineering 90
  • Artificial Intelligence 82
  • Computer Vision and Pattern Recognition 43
Replace Yunxiang Wu with:
Yunxiang Wu China
Wael M. Bazzi United Arab Emirates
Mehmet E. Çelebi Türkiye
Hussein Al Haj Hassan France
Yunhao Jiang China
Qinghe Gao China
Che-Nan Kuo Taiwan
Bin Dai relative to Yunxiang Wu China Yunxiang Wu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Bin Dai

Since Specialization
Citations

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

Fields of papers citing papers by Bin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021121
2 201937
3 202024
4 201822
5 201617
6 201817
7 202017
8 202315
9 201513
10 201512
11 201211
12 202211
13 201910
14 202210
15 20128
16 20158
17 20118
18 20157
19 20165
20 20144

About Bin Dai

Bin Dai is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 66 papers that have together received 441 indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (39 papers), Cooperative Communication and Network Coding (30 papers), Cellular Automata and Applications (10 papers), Advanced MIMO Systems Optimization (8 papers), Coding theory and cryptography (7 papers), Advanced Wireless Communication Technologies (7 papers), Error Correcting Code Techniques (7 papers) and Chaos-based Image/Signal Encryption (5 papers). The work is most often cited by research in Computer Networks and Communications (209 citations), Electrical and Electronic Engineering (321 citations), Control and Systems Engineering (90 citations), Artificial Intelligence (82 citations) and Computer Vision and Pattern Recognition (43 citations). Bin Dai has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Zheng Ma, Yuan Luo, Rafał Madoński, Krzysztof Łakomy, Maral Ansari, Shihua Li, Jun Yang, Xuxun Liu, Chuanchuan Yang and Lei Yang. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, IEEE Transactions on Communications, IEEE Internet of Things Journal, Designs Codes and Cryptography 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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