Qingqiang Wu

72 total papers · 556 total citations
46 papers, 358 citations indexed

About

Qingqiang Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Qingqiang Wu has authored 46 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 10 papers in Molecular Biology. Recurrent topics in Qingqiang Wu's work include Topic Modeling (8 papers), Face and Expression Recognition (5 papers) and Emotion and Mood Recognition (5 papers). Qingqiang Wu is often cited by papers focused on Topic Modeling (8 papers), Face and Expression Recognition (5 papers) and Emotion and Mood Recognition (5 papers). Qingqiang Wu collaborates with scholars based in China, United Kingdom and United States. Qingqiang Wu's co-authors include Kunhong Liu, Qingqi Hong, Junfeng Yao, Beizhan Wang, Haiying Zhang, Qingde Li, Xiaoli Wang, Jinsong Su, Sze‐Teng Liong and Yongxuan Lai and has published in prestigious journals such as Bioinformatics, Pattern Recognition and Information Sciences.

In The Last Decade

Qingqiang Wu

41 papers receiving 353 citations

Author Peers

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

Author Last Decade Papers Cites
Qingqiang Wu 167 117 51 51 32 46 358
Hao Wang 221 1.3× 74 0.6× 58 1.1× 30 0.6× 19 0.6× 31 399
Sashikala Mishra 169 1.0× 64 0.5× 40 0.8× 21 0.4× 9 0.3× 47 332
Nicandro Cruz-Ramírez 215 1.3× 39 0.3× 31 0.6× 44 0.9× 11 0.3× 38 371
Majdi Khalid 110 0.7× 67 0.6× 66 1.3× 25 0.5× 10 0.3× 41 373
Kailash Shaw 210 1.3× 61 0.5× 50 1.0× 22 0.4× 31 1.0× 37 387
Jyothisha J. Nair 130 0.8× 69 0.6× 29 0.6× 12 0.2× 11 0.3× 49 300
Wahiba Ben Abdessalem Karâa 118 0.7× 87 0.7× 34 0.7× 33 0.6× 5 0.2× 37 328
Xiang Feng 220 1.3× 95 0.8× 36 0.7× 60 1.2× 9 0.3× 63 392
Anirban Mitra 94 0.6× 89 0.8× 11 0.2× 46 0.9× 18 0.6× 48 399
Asghar Ali Shah 92 0.6× 47 0.4× 80 1.6× 16 0.3× 23 0.7× 46 392

Countries citing papers authored by Qingqiang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Qingqiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingqiang Wu

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