Qin Wu

59 total papers · 643 total citations
34 papers, 416 citations indexed

About

Qin Wu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Statistical and Nonlinear Physics. According to data from OpenAlex, Qin Wu has authored 34 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 9 papers in Media Technology and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Qin Wu's work include Video Surveillance and Tracking Methods (4 papers), Face and Expression Recognition (4 papers) and Face recognition and analysis (4 papers). Qin Wu is often cited by papers focused on Video Surveillance and Tracking Methods (4 papers), Face and Expression Recognition (4 papers) and Face recognition and analysis (4 papers). Qin Wu collaborates with scholars based in China, United States and United Kingdom. Qin Wu's co-authors include Edgar Fuller, Cun‐Quan Zhang, Xingqin Qi, Yezhou Wu, N. Lu, Jihong Wang, Li Yang, S. D. Riemenschneider, Yusen Zhang and Zhilei Chai and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Energy Economics and Information Sciences.

In The Last Decade

Qin Wu

29 papers receiving 392 citations

Author Peers

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

Author Last Decade Papers Cites
Qin Wu 121 106 75 63 27 34 416
Weicai Zhong 77 0.6× 76 0.7× 23 0.3× 125 2.0× 67 2.5× 25 374
Yang Jiao 153 1.3× 61 0.6× 19 0.3× 71 1.1× 11 0.4× 44 388
Qingyong Wang 30 0.2× 49 0.5× 66 0.9× 114 1.8× 13 0.5× 44 431
Wei Gao 118 1.0× 67 0.6× 38 0.5× 130 2.1× 20 0.7× 38 479
Haoran Huang 73 0.6× 60 0.6× 66 0.9× 191 3.0× 29 1.1× 24 391
Mansoor Rezghi 158 1.3× 35 0.3× 39 0.5× 85 1.3× 6 0.2× 33 420
Zhao Li 134 1.1× 56 0.5× 30 0.4× 244 3.9× 12 0.4× 48 457
Sraban Kumar Mohanty 138 1.1× 62 0.6× 38 0.5× 285 4.5× 11 0.4× 33 437
Fabio Daolio 62 0.5× 25 0.2× 31 0.4× 223 3.5× 26 1.0× 24 392
Morteza Haghir Chehreghani 73 0.6× 34 0.3× 81 1.1× 169 2.7× 7 0.3× 52 397

Countries citing papers authored by Qin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Qin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qin Wu

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