Hongwei Mo

84 papers receiving 876 citations

Peers

Hongwei Mo
Comparison fields: 5 of 104
  • Computer Vision and Pattern Recognition 335
  • Control and Systems Engineering 322
  • Aerospace Engineering 210
  • Artificial Intelligence 247
  • Industrial and Manufacturing Engineering 69
Replace Haobin Shi with:
Haobin Shi China
Ibraheem Kasim Ibraheem Iraq
Aleksandra Faust United States
Davoud Sedighizadeh Iran
Anssi Kanervisto Finland
Stephen Balakirsky United States
Ameer Hamza Khan Hong Kong
Erion Plaku United States
John Wang United States
Hongwei Mo relative to Haobin Shi China Haobin Shi's profile →
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Countries citing papers authored by Hongwei Mo

Since Specialization
Citations

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

Fields of papers citing papers by Hongwei Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hongwei Mo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hongwei Mo Line = papers co-authored together Hongwei Mo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018167
2 2014104
3 202180
4 202166
5 200940
6 201332
7 200630
8 202226
9 201425
10 201323
11 201720
12
Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies
200814
13 201514
14 201113
15 202312
16 201211
17 202111
18 201311
19 201411
20 202310

About Hongwei Mo

Hongwei Mo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Control and Systems Engineering and Aerospace Engineering, having authored 90 papers that have together received 918 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (17 papers), Metaheuristic Optimization Algorithms Research (17 papers), Artificial Immune Systems Applications (14 papers), Geomagnetism and Paleomagnetism Studies (9 papers), Guidance and Control Systems (7 papers), Robotics and Sensor-Based Localization (7 papers), Distributed Control Multi-Agent Systems (6 papers) and Adaptive Control of Nonlinear Systems (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (335 citations), Control and Systems Engineering (322 citations), Aerospace Engineering (210 citations), Artificial Intelligence (247 citations) and Industrial and Manufacturing Engineering (69 citations). Hongwei Mo has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Ghulam Farid, Xingquan Zuo, Jianping Wu, Chaomin Luo, Qirong Tang, Xinde Li, Yanyan Zhao, Ajith Abraham, Hui Li and Shu Li. Their work appears in journals such as Applied Sciences, IEEE Transactions on Systems Man and Cybernetics Systems, Applied Intelligence, Neural Processing Letters and IEEE Transactions on Cognitive and Developmental Systems.

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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