Haoqian Wang

290 total papers · 6.0k total citations
142 papers, 2.9k citations indexed

About

Haoqian Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Haoqian Wang has authored 142 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Computer Vision and Pattern Recognition, 29 papers in Artificial Intelligence and 27 papers in Media Technology. Recurrent topics in Haoqian Wang's work include Advanced Vision and Imaging (29 papers), Advanced Image Processing Techniques (20 papers) and Image Processing Techniques and Applications (15 papers). Haoqian Wang is often cited by papers focused on Advanced Vision and Imaging (29 papers), Advanced Image Processing Techniques (20 papers) and Image Processing Techniques and Applications (15 papers). Haoqian Wang collaborates with scholars based in China, United States and Hong Kong. Haoqian Wang's co-authors include Yulun Zhang, Yuanhao Cai, Radu Timofte, Qionghai Dai, Yongbing Zhang, Luc Van Gool, Xiaowan Hu, Hao Bian, Xin Yuan and Jing Lin and has published in prestigious journals such as Nature Communications, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Haoqian Wang

126 papers receiving 2.8k citations

Hit Papers

Retinexformer: One-stage ... 2022 2026 2023 2024 2023 2022 2022 2022 2022 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Haoqian Wang 1.5k 623 431 397 293 142 2.9k
Richard J. Radke 2.0k 1.3× 807 1.3× 535 1.2× 510 1.3× 384 1.3× 102 3.4k
Seong G. Kong 2.0k 1.3× 1.1k 1.7× 473 1.1× 565 1.4× 354 1.2× 107 3.6k
Patrick Bouthémy 3.0k 2.0× 519 0.8× 447 1.0× 220 0.6× 605 2.1× 154 3.8k
Zhiwei Xiong 2.6k 1.7× 1.1k 1.8× 541 1.3× 522 1.3× 132 0.5× 208 4.1k
Yide Ma 1.9k 1.3× 1.2k 2.0× 966 2.2× 283 0.7× 195 0.7× 180 3.3k
Rui Huang 1.9k 1.3× 507 0.8× 389 0.9× 276 0.7× 177 0.6× 111 2.8k
José L. Marroquín 2.6k 1.7× 741 1.2× 730 1.7× 185 0.5× 310 1.1× 99 4.0k
Qingmin Liao 2.9k 1.9× 1.1k 1.8× 545 1.3× 254 0.6× 245 0.8× 282 4.0k
Yue Wu 3.9k 2.6× 557 0.9× 837 1.9× 296 0.7× 169 0.6× 118 5.1k
Nahum Kiryati 2.8k 1.9× 752 1.2× 177 0.4× 323 0.8× 401 1.4× 115 3.9k

Countries citing papers authored by Haoqian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haoqian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoqian Wang

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