Bin Dai

123 total papers · 601 total citations
62 papers, 400 citations indexed

About

Bin Dai is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Bin Dai has authored 62 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Electrical and Electronic Engineering, 39 papers in Computer Networks and Communications and 14 papers in Artificial Intelligence. Recurrent topics in Bin Dai's work include Wireless Communication Security Techniques (36 papers), Cooperative Communication and Network Coding (28 papers) and Cellular Automata and Applications (8 papers). Bin Dai is often cited by papers focused on Wireless Communication Security Techniques (36 papers), Cooperative Communication and Network Coding (28 papers) and Cellular Automata and Applications (8 papers). Bin Dai collaborates with scholars based in China, Israel and United States. Bin Dai's co-authors include Zheng Ma, Yuan Luo, Rafał Madoński, Maral Ansari, Shihua Li, Krzysztof Łakomy, Jun Yang, Xuxun Liu, Chuanchuan Yang and Anfeng Liu and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Industrial Electronics and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Bin Dai

50 papers receiving 394 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bin Dai 292 192 82 78 38 62 400
Mehmet E. Çelebi 278 1.0× 198 1.0× 68 0.8× 125 1.6× 26 0.7× 61 414
Qi Zeng 251 0.9× 120 0.6× 77 0.9× 75 1.0× 12 0.3× 58 360
Momin Uppal 252 0.9× 218 1.1× 26 0.3× 70 0.9× 27 0.7× 62 366
Milan S. Derpich 152 0.5× 176 0.9× 213 2.6× 40 0.5× 37 1.0× 43 428
Tao Du 108 0.4× 93 0.5× 58 0.7× 81 1.0× 53 1.4× 51 366
Jie Chen 112 0.4× 220 1.1× 127 1.5× 51 0.7× 15 0.4× 31 392
Marco Ferrari 274 0.9× 228 1.2× 42 0.5× 89 1.1× 22 0.6× 61 413
Willie K. Harrison 271 0.9× 187 1.0× 20 0.2× 85 1.1× 58 1.5× 46 344
Minfang Peng 215 0.7× 71 0.4× 167 2.0× 37 0.5× 20 0.5× 66 426
Theerayod Wiangtong 153 0.5× 104 0.5× 39 0.5× 78 1.0× 33 0.9× 44 336

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-authorship network of co-authors of Bin Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Dai. A scholar is included among the top collaborators of Bin Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bin Dai. Bin Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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