Chaoqun Wang

230 total papers · 3.0k total citations
146 papers, 2.0k citations indexed

About

Chaoqun Wang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Chaoqun Wang has authored 146 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Vision and Pattern Recognition, 54 papers in Aerospace Engineering and 37 papers in Electrical and Electronic Engineering. Recurrent topics in Chaoqun Wang's work include Robotics and Sensor-Based Localization (47 papers), Robotic Path Planning Algorithms (37 papers) and Advanced Vision and Imaging (10 papers). Chaoqun Wang is often cited by papers focused on Robotics and Sensor-Based Localization (47 papers), Robotic Path Planning Algorithms (37 papers) and Advanced Vision and Imaging (10 papers). Chaoqun Wang collaborates with scholars based in China, Hong Kong and Canada. Chaoqun Wang's co-authors include Max Q.‐H. Meng, Wenzheng Chi, Jiankun Wang, Chenming Li, Jiyu Cheng, Delong Zhu, Clarence W. de Silva, Teng Li, Danny Ho and Tingguang Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Journal of The Electrochemical Society.

In The Last Decade

Chaoqun Wang

124 papers receiving 2.0k citations

Hit Papers

Neural RRT*: Learning-Bas... 2020 2026 2022 2024 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Chaoqun Wang 1.1k 806 355 274 219 146 2.0k
Jiankun Wang 1.3k 1.2× 802 1.0× 541 1.5× 201 0.7× 219 1.0× 167 2.3k
N. M. Kwok 1.1k 1.0× 790 1.0× 444 1.3× 229 0.8× 260 1.2× 109 2.6k
Wei Xu 1.3k 1.1× 1.7k 2.1× 277 0.8× 382 1.4× 188 0.9× 92 2.7k
Zhe Liu 945 0.8× 897 1.1× 469 1.3× 324 1.2× 284 1.3× 214 2.5k
Jonathan Roberts 911 0.8× 1.0k 1.3× 585 1.6× 182 0.7× 260 1.2× 137 2.2k
Luís Moreno 1.5k 1.4× 841 1.0× 525 1.5× 248 0.9× 246 1.1× 188 2.9k
Yuxiang Sun 1.5k 1.4× 923 1.1× 144 0.4× 281 1.0× 204 0.9× 159 2.8k
Se‐Young Oh 899 0.8× 1.5k 1.9× 442 1.2× 592 2.2× 565 2.6× 129 2.7k
Peng Yao 1.2k 1.0× 1.0k 1.3× 431 1.2× 280 1.0× 345 1.6× 138 2.3k
Peng Lu 588 0.5× 869 1.1× 914 2.6× 164 0.6× 344 1.6× 134 2.1k

Countries citing papers authored by Chaoqun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chaoqun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoqun Wang

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