Dao‐Qing Dai

169 total papers · 3.6k total citations
116 papers, 2.5k citations indexed

About

Dao‐Qing Dai is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Dao‐Qing Dai has authored 116 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computer Vision and Pattern Recognition, 30 papers in Molecular Biology and 18 papers in Artificial Intelligence. Recurrent topics in Dao‐Qing Dai's work include Face and Expression Recognition (38 papers), Bioinformatics and Genomic Networks (23 papers) and Sparse and Compressive Sensing Techniques (16 papers). Dao‐Qing Dai is often cited by papers focused on Face and Expression Recognition (38 papers), Bioinformatics and Genomic Networks (23 papers) and Sparse and Compressive Sensing Techniques (16 papers). Dao‐Qing Dai collaborates with scholars based in China, Hong Kong and Australia. Dao‐Qing Dai's co-authors include Chuan-Xian Ren, Hong Yan, Ke-Kun Huang, Pong C. Yuen, Xiao-Fei Zhang, Zhao‐Rong Lai, Le Ou-Yang, Lixin Shen, Xiaosheng Zhuang and Mengyun Wu and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Dao‐Qing Dai

111 papers receiving 2.4k citations

Author Peers

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

Author Last Decade Papers Cites
Dao‐Qing Dai 1.4k 516 503 362 349 116 2.5k
Hua Yu 1.0k 0.7× 878 1.7× 508 1.0× 239 0.7× 568 1.6× 169 3.6k
Douglas P. Hardin 1.3k 0.9× 467 0.9× 528 1.0× 313 0.9× 367 1.1× 99 3.3k
David L. Neuhoff 1.9k 1.3× 796 1.5× 153 0.3× 159 0.4× 607 1.7× 156 3.3k
Lei Yu 1.2k 0.8× 567 1.1× 123 0.2× 432 1.2× 305 0.9× 166 2.6k
John Goutsias 876 0.6× 230 0.4× 525 1.0× 277 0.8× 125 0.4× 87 1.9k
Godfried T. Toussaint 1.3k 1.0× 459 0.9× 92 0.2× 101 0.3× 515 1.5× 139 3.2k
Rafał Zdunek 805 0.6× 577 1.1× 159 0.3× 246 0.7× 1.1k 3.1× 67 3.1k
Suvrit Sra 2.3k 1.7× 1.9k 3.7× 247 0.5× 346 1.0× 578 1.7× 109 4.8k
Yongyong Chen 2.0k 1.5× 754 1.5× 176 0.3× 557 1.5× 153 0.4× 133 3.0k
Ramakrishnan Mukundan 2.2k 1.6× 300 0.6× 111 0.2× 437 1.2× 328 0.9× 103 2.8k

Countries citing papers authored by Dao‐Qing Dai

Since Specialization
Citations

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

Fields of papers citing papers by Dao‐Qing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dao‐Qing Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Dao‐Qing Dai. A scholar is included among the top collaborators of Dao‐Qing 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 Dao‐Qing Dai. Dao‐Qing Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026