Bin Dai

616 total citations
62 papers, 413 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 413 indexed citations (citations by other indexed papers that have themselves been cited), including 55 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 (37 papers), Cooperative Communication and Network Coding (28 papers) and Advanced MIMO Systems Optimization (8 papers). Bin Dai is often cited by papers focused on Wireless Communication Security Techniques (37 papers), Cooperative Communication and Network Coding (28 papers) and Advanced MIMO Systems Optimization (8 papers). Bin Dai collaborates with scholars based in China, United States and Israel. Bin Dai's co-authors include Zheng Ma, Yuan Luo, Maral Ansari, Rafał Madoński, Jun Yang, Krzysztof Łakomy, Shihua Li, Xuxun Liu, Chuanchuan Yang and Tie Qiu and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Industrial Electronics and IEEE Access.

In The Last Decade

Bin Dai

51 papers receiving 407 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bin Dai China 11 299 194 87 81 39 62 413
Mehmet E. Çelebi Türkiye 11 276 0.9× 196 1.0× 68 0.8× 125 1.5× 28 0.7× 60 413
Qinghe Gao China 11 205 0.7× 151 0.8× 46 0.5× 62 0.8× 35 0.9× 54 337
Wael M. Bazzi United Arab Emirates 12 320 1.1× 135 0.7× 80 0.9× 82 1.0× 27 0.7× 32 524
Hussein Al Haj Hassan France 10 352 1.2× 205 1.1× 62 0.7× 32 0.4× 34 0.9× 24 474
Yunhao Jiang China 5 275 0.9× 223 1.1× 80 0.9× 73 0.9× 26 0.7× 13 446
Marco Ferrari Italy 12 274 0.9× 229 1.2× 43 0.5× 89 1.1× 22 0.6× 62 415
Yunxiang Wu China 11 315 1.1× 132 0.7× 86 1.0× 56 0.7× 34 0.9× 31 472
Carlos E. Castañeda Mexico 11 141 0.5× 65 0.3× 221 2.5× 86 1.1× 25 0.6× 61 398
Ali Rahmati United States 5 434 1.5× 420 2.2× 25 0.3× 52 0.6× 44 1.1× 9 676

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

20 of 20 papers shown
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Lu, Ping, et al.. (2025). MSMDL-DDI: Multi-Layer Soft Mask Dual-View Learning for Drug–Drug Interactions. Computational Biology and Chemistry. 115. 108355–108355. 1 indexed citations
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Cai, Han, et al.. (2024). An Efficient Coding Scheme for the AWGN Relay Network With Receiver–Transmitter Feedback. IEEE Systems Journal. 18(3). 1717–1728. 1 indexed citations
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Dai, Bin, et al.. (2024). Gaussian Relay Channel with Noiseless Feedback: Revisit. 675–680. 1 indexed citations
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Zhang, Haonan, Chuanchuan Yang, & Bin Dai. (2023). A Finite Blocklength Approach for Wireless Hierarchical Federated Learning in the Presence of Physical Layer Security. 1–6. 3 indexed citations
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Łakomy, Krzysztof, Rafał Madoński, Bin Dai, et al.. (2020). Active Disturbance Rejection Control with Sensor Noise Suppressing Observer for DC-DC Buck Power Converters.. arXiv (Cornell University). 1 indexed citations
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Dai, Bin, et al.. (2019). Enhancing Physical Layer Security in Internet of Things via Feedback: A General Framework. IEEE Internet of Things Journal. 7(1). 99–115. 9 indexed citations
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Dai, Bin, Zheng Ma, Ming Xiao, Xiaohu Tang, & Pingzhi Fan. (2018). Secure Communication Over Finite State Multiple-Access Wiretap Channel With Delayed Feedback. IEEE Journal on Selected Areas in Communications. 36(4). 723–736. 16 indexed citations
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Dai, Bin, et al.. (2017). The finite state multiple-access wiretap channel in the presence of delayed feedback. it 54. 74–78. 1 indexed citations
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Dai, Bin & Zheng Ma. (2015). Multiple-Access Relay Wiretap Channel. IEEE Transactions on Information Forensics and Security. 10(9). 1835–1849. 12 indexed citations
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Dai, Bin & Zheng Ma. (2014). Achievable rate-equivocation regions for relay broadcast channels with confidential messages. International Symposium on Information Theory and its Applications. 393–397. 1 indexed citations
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Dai, Bin, et al.. (2014). Multiple‐access wiretap channel with common channel state information at the encoders. IET Communications. 8(5). 597–606. 4 indexed citations
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Xue, Zhi, et al.. (2013). Capacity-Equivocation Regions of the DMBCs with Noiseless Feedback. Mathematical Problems in Engineering. 2013. 1–13. 2 indexed citations
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Vinck, A. J. Han & Bin Dai. (2013). Multi-user power-line communication. 2 indexed citations

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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