Peng Du

54 total papers · 628 total citations
34 papers, 424 citations indexed

About

Peng Du is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Peng Du has authored 34 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 7 papers in Computational Mechanics and 7 papers in Aerospace Engineering. Recurrent topics in Peng Du's work include Robotic Path Planning Algorithms (8 papers), Robotics and Sensor-Based Localization (4 papers) and 3D Shape Modeling and Analysis (4 papers). Peng Du is often cited by papers focused on Robotic Path Planning Algorithms (8 papers), Robotics and Sensor-Based Localization (4 papers) and 3D Shape Modeling and Analysis (4 papers). Peng Du collaborates with scholars based in China, United States and Singapore. Peng Du's co-authors include Askar Hamdulla, Ruofeng Tong, Min Tang, Sung‐Eui Yoon, Jae‐Pil Heo, Dinesh Manocha, Yongjian Xu, Shasha Li, Yigang Wang and Qinghua Xu and has published in prestigious journals such as ACM Transactions on Graphics, Frontiers in Psychology and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Peng Du

32 papers receiving 400 citations

Author Peers

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

Author Last Decade Papers Cites
Peng Du 170 128 114 56 52 34 424
Yang Zhang 55 0.3× 127 1.0× 82 0.7× 44 0.8× 8 0.2× 53 467
Bo Gao 90 0.5× 50 0.4× 230 2.0× 21 0.4× 10 0.2× 51 487
Markus Fischer 47 0.3× 144 1.1× 162 1.4× 33 0.6× 7 0.1× 44 470
George Floros 203 1.2× 213 1.7× 91 0.8× 15 0.3× 8 0.2× 34 375
Nikolaos Zioulis 85 0.5× 325 2.5× 37 0.3× 38 0.7× 59 1.1× 33 442
Xiaoping Liu 51 0.3× 314 2.5× 53 0.5× 24 0.4× 14 0.3× 55 485
Achintya Das 27 0.2× 219 1.7× 58 0.5× 14 0.3× 9 0.2× 35 428
Yu Liu 58 0.3× 271 2.1× 20 0.2× 24 0.4× 8 0.2× 48 426
Lei Zhang 174 1.0× 70 0.5× 154 1.4× 6 0.1× 4 0.1× 21 371
Asif Masood 68 0.4× 249 1.9× 11 0.1× 71 1.3× 34 0.7× 41 446

Countries citing papers authored by Peng Du

Since Specialization
Citations

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

Fields of papers citing papers by Peng Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Du

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