Ming Wan

74 papers receiving 1.5k citations

Peers

Ming Wan
Comparison fields: 5 of 148
  • Computer Graphics and Computer-Aided Design 246
  • Computer Vision and Pattern Recognition 426
  • Industrial and Manufacturing Engineering 173
  • Strategy and Management 240
  • Business and International Management 30
Replace Peter O’Donovan with:
Peter O’Donovan United Kingdom
Jiang Duan China
P. Mohamed Shakeel Malaysia
Keqiu Li China
S. Baskar India
Jinsong Bao China
Richard A. Wysk United States
Poly Z. H. Sun China
Paolo Traverso Italy
Thorsten Koch Germany
Ming Wan relative to Peter O’Donovan United Kingdom Peter O’Donovan's profile →
Citations per field
00.5×10×14.4×
Peter O’Donovan · 1×
Citations per year

Countries citing papers authored by Ming Wan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ming Wan, 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 Ming Wan Line = papers co-authored together Ming Wan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019302
2 200292
3 201867
4 200165
5 202153
6 201748
7 202147
8 200246
9 201544
10 201543
11 200442
12 200037
13 199735
14 200335
15 201935
16 200234
17 200232
18 200230
19 200027
20 201526

About Ming Wan

Ming Wan is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computer Networks and Communications, Control and Systems Engineering and Artificial Intelligence, having authored 85 papers that have together received 1.6k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (22 papers), Advanced Vision and Imaging (19 papers), Computer Graphics and Visualization Techniques (18 papers), Smart Grid Security and Resilience (14 papers), Anomaly Detection Techniques and Applications (13 papers), 3D Shape Modeling and Analysis (11 papers), Internet Traffic Analysis and Secure E-voting (8 papers) and Robotics and Sensor-Based Localization (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (246 citations), Computer Vision and Pattern Recognition (426 citations), Industrial and Manufacturing Engineering (173 citations), Strategy and Management (240 citations) and Business and International Management (30 citations). Ming Wan has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Arie Kaufman, Ting Qu, V. G. Venkatesh, Abraham Zhang, Yang Liu, Donald Huisingh, Peng Zeng, Henrik Thorlacius, Zhengrong Liang and Ingmar Bitter. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), International Journal of Environmental Research and Public Health, British Journal of Pharmacology, Annals of Surgery and Inflammation Research.

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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