Peng Wang

385 total papers · 3.8k total citations
186 papers, 2.5k citations indexed

About

Peng Wang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Peng Wang has authored 186 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computer Vision and Pattern Recognition, 45 papers in Aerospace Engineering and 38 papers in Artificial Intelligence. Recurrent topics in Peng Wang's work include Robotics and Sensor-Based Localization (31 papers), Video Surveillance and Tracking Methods (14 papers) and Indoor and Outdoor Localization Technologies (12 papers). Peng Wang is often cited by papers focused on Robotics and Sensor-Based Localization (31 papers), Video Surveillance and Tracking Methods (14 papers) and Indoor and Outdoor Localization Technologies (12 papers). Peng Wang collaborates with scholars based in China, United States and United Kingdom. Peng Wang's co-authors include En Fan, Pin Wang, Zonghai Chen, Qiyue Wang, Yuming Zhang, Narges Shayesteh Moghaddam, Wenhua Jiao, Yiran Yang, Guangzhong Dong and Jingwen Wei and has published in prestigious journals such as Biomaterials, Advanced Functional Materials and The Science of The Total Environment.

In The Last Decade

Peng Wang

166 papers receiving 2.4k citations

Hit Papers

Comparative analysis of i... 2020 2026 2022 2024 2020 2025 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Peng Wang 639 397 375 352 287 186 2.5k
Ying Zhang 520 0.8× 762 1.9× 313 0.8× 416 1.2× 109 0.4× 186 2.4k
Alaa Khamis 723 1.1× 297 0.7× 940 2.5× 455 1.3× 219 0.8× 89 3.1k
Yimin Yang 866 1.4× 457 1.2× 1.0k 2.8× 208 0.6× 387 1.3× 147 3.1k
Jinchao Chen 577 0.9× 249 0.6× 232 0.6× 492 1.4× 183 0.6× 161 2.4k
Ting Zhang 1.0k 1.6× 630 1.6× 585 1.6× 209 0.6× 318 1.1× 276 4.2k
Fang Deng 432 0.7× 587 1.5× 585 1.6× 684 1.9× 349 1.2× 257 3.7k
Chun‐Liang Lin 288 0.5× 531 1.3× 207 0.6× 360 1.0× 508 1.8× 218 2.7k
Xiang Li 474 0.7× 297 0.7× 643 1.7× 152 0.4× 269 0.9× 98 2.7k
Ding Liu 990 1.5× 703 1.8× 717 1.9× 346 1.0× 193 0.7× 251 3.4k
Eftychios Protopapadakis 1.0k 1.6× 597 1.5× 875 2.3× 200 0.6× 257 0.9× 98 4.1k

Countries citing papers authored by Peng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Peng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Wang

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