Mingfeng Wang

1.4k citations
63 papers · 907 · h-index 16

Impact in

Papers in

Mingfeng Wang

59 papers receiving 884 citations

Peers

Mingfeng Wang
Comparison fields: 5 of 102
  • Control and Systems Engineering 250
  • Atomic and Molecular Physics, and Optics 283
  • Biomedical Engineering 346
  • Mechanical Engineering 253
  • Artificial Intelligence 142
Replace Liye Zhao with:
Liye Zhao China
Florian Pfaff Germany
Sheng Liang China
Lawrence A. Bergman United States
Jiangjun Ruan China
Jian Pang Japan
Gabriele Cazzulani Italy
Nageswara Lalam United States
Chunlei Jiang China
Mingfeng Wang relative to Liye Zhao China Liye Zhao's profile →
Citations per field
00.5×3.6×
Liye Zhao · 1×
Citations per year

Countries citing papers authored by Mingfeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mingfeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020127
2 2020119
3 201676
4 202255
5 202152
6 201850
7 202145
8 201726
9 200823
10 202122
11 200921
12 202220
13 202319
14 201919
15 202118
16 201915
17 200713
18 201912
19 202412
20 202110

About Mingfeng Wang

Mingfeng Wang is a scholar working on Mechanical Engineering, Control and Systems Engineering, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Artificial Intelligence, having authored 63 papers that have together received 907 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (11 papers), Robotic Mechanisms and Dynamics (9 papers), Quantum optics and atomic interactions (9 papers), Robot Manipulation and Learning (8 papers), Soft Robotics and Applications (7 papers), Robotic Locomotion and Control (6 papers), Hydraulic and Pneumatic Systems (5 papers) and Tribology and Lubrication Engineering (5 papers). The work is most often cited by research in Control and Systems Engineering (250 citations), Atomic and Molecular Physics, and Optics (283 citations), Biomedical Engineering (346 citations), Mechanical Engineering (253 citations) and Artificial Intelligence (142 citations). Mingfeng Wang has collaborated with scholars based in China, United Kingdom and Italy. Frequent co-authors include Dragoş Axinte, Xin Dong, Andy Norton, Weiming Ba, Abdelkhalick Mohammad, Wei Xiong, Marco Ceccarelli, Yanhong Xiao, Weizhi Qu and Guo-Qiang Zhang. Their work appears in journals such as Physical review. A, IEEE/ASME Transactions on Mechatronics, Physical Review A, Surface Topography Metrology and Properties and Optics Express.

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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