Qingyun Dai

173 total papers · 3.0k total citations
107 papers, 2.1k citations indexed

About

Qingyun Dai is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, Qingyun Dai has authored 107 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 23 papers in Industrial and Manufacturing Engineering and 21 papers in Artificial Intelligence. Recurrent topics in Qingyun Dai's work include Advanced Manufacturing and Logistics Optimization (12 papers), Scheduling and Optimization Algorithms (11 papers) and Digital Filter Design and Implementation (9 papers). Qingyun Dai is often cited by papers focused on Advanced Manufacturing and Logistics Optimization (12 papers), Scheduling and Optimization Algorithms (11 papers) and Digital Filter Design and Implementation (9 papers). Qingyun Dai collaborates with scholars based in China, Hong Kong and United Kingdom. Qingyun Dai's co-authors include George Q. Huang, Ray Y. Zhong, Xu Chen, Ting Qu, Shulin Lan, Guiping Hu, Bingo Wing‐Kuen Ling, Shulin Lan, Fangyuan Lei and Chunping Zhang and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Signal Processing.

In The Last Decade

Qingyun Dai

97 papers receiving 2.0k citations

Hit Papers

RFID-enabled real-time ma... 2012 2026 2016 2021 2012 2015 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Qingyun Dai 943 363 277 266 212 107 2.1k
Bernd Scholz‐Reiter 1.8k 1.9× 369 1.0× 216 0.8× 127 0.5× 387 1.8× 162 2.8k
Jie Zhang 1.8k 1.9× 220 0.6× 398 1.4× 167 0.6× 263 1.2× 118 2.9k
Chengen Wang 989 1.0× 322 0.9× 194 0.7× 52 0.2× 180 0.8× 123 2.7k
Chunhua Zhang 1.7k 1.8× 391 1.1× 351 1.3× 65 0.2× 369 1.7× 80 3.2k
Chang Ouk Kim 779 0.8× 146 0.4× 182 0.7× 155 0.6× 448 2.1× 67 1.8k
Junliang Wang 1.1k 1.1× 169 0.5× 204 0.7× 70 0.3× 216 1.0× 108 2.0k
Abdelaziz Bouras 346 0.4× 230 0.6× 393 1.4× 72 0.3× 718 3.4× 111 2.1k
Xifan Yao 1.4k 1.5× 161 0.4× 188 0.7× 47 0.2× 370 1.7× 112 2.4k
Biqing Huang 671 0.7× 325 0.9× 171 0.6× 33 0.1× 353 1.7× 90 2.0k
Ka Fai Cedric Yiu 281 0.3× 139 0.4× 239 0.9× 112 0.4× 251 1.2× 172 2.2k

Countries citing papers authored by Qingyun Dai

Since Specialization
Citations

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

Fields of papers citing papers by Qingyun Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingyun Dai

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