Kuobin Dai

9 total papers · 402 total citations
6 papers, 274 citations indexed

About

Kuobin Dai is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kuobin Dai has authored 6 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Networks and Communications, 2 papers in Information Systems and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Kuobin Dai's work include Advanced Malware Detection Techniques (1 paper), Digital Rights Management and Security (1 paper) and Mobile Agent-Based Network Management (1 paper). Kuobin Dai is often cited by papers focused on Advanced Malware Detection Techniques (1 paper), Digital Rights Management and Security (1 paper) and Mobile Agent-Based Network Management (1 paper). Kuobin Dai collaborates with scholars based in China. Kuobin Dai's co-authors include Xiaochuan Ai, Silan Zhang, Jingbo Xia, Jiakai Yan and Yinhui Li and has published in prestigious journals such as Expert Systems with Applications.

In The Last Decade

Kuobin Dai

5 papers receiving 250 citations

Author Peers

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

Author Last Decade Papers Cites
Kuobin Dai 241 201 130 41 22 6 274
Xiaochuan Ai 237 1.0× 197 1.0× 128 1.0× 39 1.0× 20 0.9× 9 299
Z. Muda 212 0.9× 195 1.0× 113 0.9× 70 1.7× 17 0.8× 9 287
Meng-Jang Lin 246 1.0× 217 1.1× 133 1.0× 38 0.9× 18 0.8× 4 300
Paulo Angelo Alves Resende 213 0.9× 205 1.0× 119 0.9× 30 0.7× 12 0.5× 7 298
Ralf C. Staudemeyer 204 0.8× 196 1.0× 101 0.8× 26 0.6× 16 0.7× 9 239
Daniela Brauckhoff 249 1.0× 239 1.2× 52 0.4× 45 1.1× 13 0.6× 8 286
Stephen Northcutt 257 1.1× 143 0.7× 112 0.9× 86 2.1× 57 2.6× 9 317
V. Jyothsna 206 0.9× 166 0.8× 127 1.0× 38 0.9× 11 0.5× 7 245
Hassan Musafer 253 1.0× 242 1.2× 126 1.0× 22 0.5× 6 0.3× 9 309
Jeffrey Undercoffer 167 0.7× 82 0.4× 39 0.3× 44 1.1× 10 0.5× 9 203

Countries citing papers authored by Kuobin Dai

Since Specialization
Citations

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

Fields of papers citing papers by Kuobin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuobin Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Kuobin Dai. A scholar is included among the top collaborators of Kuobin 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 Kuobin Dai. Kuobin 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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2026