Hongmin Wu

110 total papers · 867 total citations
54 papers, 538 citations indexed

About

Hongmin Wu is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hongmin Wu has authored 54 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Control and Systems Engineering, 17 papers in Artificial Intelligence and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hongmin Wu's work include Robot Manipulation and Learning (22 papers), Anomaly Detection Techniques and Applications (13 papers) and Robotic Path Planning Algorithms (9 papers). Hongmin Wu is often cited by papers focused on Robot Manipulation and Learning (22 papers), Anomaly Detection Techniques and Applications (13 papers) and Robotic Path Planning Algorithms (9 papers). Hongmin Wu collaborates with scholars based in China, United Kingdom and United States. Hongmin Wu's co-authors include Xuefeng Zhou, Zhihao Xu, Shuai Li, Yisheng Guan, Xiaoxiao Li, Juan Rojas, Peian Lou, Lei Zhang, Jiaxi Yu and Pan Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Journal of Bacteriology.

In The Last Decade

Hongmin Wu

50 papers receiving 523 citations

Author Peers

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

Author Last Decade Papers Cites
Hongmin Wu 192 94 91 81 70 54 538
Matthias Wolff 44 0.2× 64 0.7× 45 0.5× 74 0.9× 176 2.5× 76 610
Luis A. Pineda 85 0.4× 81 0.9× 62 0.7× 22 0.3× 185 2.6× 64 533
Lin Shao 228 1.2× 207 2.2× 91 1.0× 84 1.0× 112 1.6× 53 607
Yanfeng Gong 114 0.6× 63 0.7× 22 0.2× 23 0.3× 16 0.2× 50 461
João Sequeira 86 0.4× 9 0.1× 121 1.3× 51 0.6× 116 1.7× 72 469
Woochul Kang 47 0.2× 47 0.5× 98 1.1× 23 0.3× 55 0.8× 41 565
Rishav Singh 55 0.3× 13 0.1× 164 1.8× 56 0.7× 239 3.4× 34 567
Antonio Marı́n-Hernández 100 0.5× 6 0.1× 200 2.2× 107 1.3× 58 0.8× 83 555
Kok Yew Ng 229 1.2× 30 0.3× 33 0.4× 41 0.5× 40 0.6× 42 576
Noelia Hernández 20 0.1× 14 0.1× 83 0.9× 30 0.4× 40 0.6× 47 574

Countries citing papers authored by Hongmin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hongmin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongmin Wu

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