Quan Wen

120 total papers · 1.3k total citations
80 papers, 941 citations indexed

About

Quan Wen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Quan Wen has authored 80 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 8 papers in Control and Systems Engineering. Recurrent topics in Quan Wen's work include Advanced Image and Video Retrieval Techniques (10 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Video Surveillance and Tracking Methods (8 papers). Quan Wen is often cited by papers focused on Advanced Image and Video Retrieval Techniques (10 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Video Surveillance and Tracking Methods (8 papers). Quan Wen collaborates with scholars based in China, United States and Ireland. Quan Wen's co-authors include Yafei Song, M. Emre Celebi, Xiaodan Wang, Wenlong Huang, Sae Hwang, Gerald Schaefer, Hitoshi Iyatomi, Hang Chang, Bahram Parvin and Zhaoqi Wu and has published in prestigious journals such as IEEE Access, Pattern Recognition and Plastic & Reconstructive Surgery.

In The Last Decade

Quan Wen

71 papers receiving 912 citations

Author Peers

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

Author Last Decade Papers Cites
Quan Wen 326 288 230 151 95 80 941
Xiaoping Li 319 1.0× 125 0.4× 118 0.5× 59 0.4× 111 1.2× 89 1.1k
Jinwen Ma 566 1.7× 352 1.2× 31 0.1× 122 0.8× 38 0.4× 82 1.0k
Kalyani Mali 389 1.2× 400 1.4× 100 0.4× 34 0.2× 110 1.2× 84 941
Paritosh Bhattacharya 190 0.6× 232 0.8× 83 0.4× 36 0.2× 21 0.2× 106 1.0k
Javier Sánchez‐Monedero 446 1.4× 152 0.5× 35 0.2× 55 0.4× 48 0.5× 35 884
Olga Valenzuela 460 1.4× 164 0.6× 176 0.8× 19 0.1× 46 0.5× 84 1.1k
Sansanee Auephanwiriyakul 444 1.4× 351 1.2× 93 0.4× 9 0.1× 39 0.4× 103 1.1k
Sankhadeep Chatterjee 341 1.0× 337 1.2× 25 0.1× 68 0.5× 71 0.7× 75 1.2k
Hüseyin Şeker 337 1.0× 137 0.5× 20 0.1× 93 0.6× 66 0.7× 106 877
Rajashree Dash 446 1.4× 97 0.3× 419 1.8× 71 0.5× 40 0.4× 51 907

Countries citing papers authored by Quan Wen

Since Specialization
Citations

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

Fields of papers citing papers by Quan Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Wen

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