Yangming Li

4.0k citations
108 papers · 2.6k · h-index 28

Impact in

Papers in

Yangming Li

98 papers receiving 2.6k citations

Peers

Yangming Li
Comparison fields: 5 of 137
  • Control and Systems Engineering 860
  • Computer Vision and Pattern Recognition 548
  • Artificial Intelligence 822
  • Cancer Research 210
  • Computational Mathematics 8
Replace Yang Cong with:
Yang Cong China
Feilong Cao China
Wenbing Huang China
Dong Chen China
Lingqiao Liu Australia
Yu-Chiang Frank Wang Taiwan
Jonas Schneider Germany
Yuhu Cheng China
Jagath Samarabandu Canada
Guoqiang Han China
Yangming Li relative to Yang Cong China Yang Cong's profile →
Citations per field
00.5×5.7×
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Citations per year

Countries citing papers authored by Yangming Li

Since Specialization
Citations

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

Fields of papers citing papers by Yangming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016224
2 2013197
3 2019186
4 2018160
5 2013129
6 2012127
7 2020114
8 201998
9 201272
10 202063
11 201254
12 202053
13 201049
14 201747
15 202043
16 201940
17 201337
18 201636
19 201136
20 202035

About Yangming Li

Yangming Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Surgery, Aerospace Engineering and Control and Systems Engineering, having authored 108 papers that have together received 2.6k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (18 papers), Topic Modeling (15 papers), Surgical Simulation and Training (12 papers), Natural Language Processing Techniques (12 papers), Soft Robotics and Applications (11 papers), Robotic Path Planning Algorithms (9 papers), Robot Manipulation and Learning (8 papers) and Gastric Cancer Management and Outcomes (7 papers). The work is most often cited by research in Control and Systems Engineering (860 citations), Computer Vision and Pattern Recognition (548 citations), Artificial Intelligence (822 citations), Cancer Research (210 citations) and Computational Mathematics (8 citations). Yangming Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shuai Li, Blake Hannaford, Libo Qin, Edwin Olson, Wanxiang Che, Muhammad Usman Rafique, Zhu‐Hong You, Haoyang Wen, Long Jin and Zheng Wang. Their work appears in journals such as IEEE Transactions on Industrial Informatics, Sensors, Scientific Reports, IEEE Transactions on Neural Networks and Learning Systems and Neural Computing and Applications.

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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