Ming Cong

130 papers receiving 1.2k citations

Peers

Ming Cong
Comparison fields: 5 of 128
  • Control and Systems Engineering 307
  • Industrial and Manufacturing Engineering 128
  • Complementary and Manual Therapy 19
  • Mechanical Engineering 307
  • Computer Vision and Pattern Recognition 159
Replace Wei Ji with:
Wei Ji China
Johan Potgieter New Zealand
Jaspreet Singh Dhupia New Zealand
Dongxing Zhang China
Weiwei Shang China
Chenggang Li China
Gilberto Herrera-Ruíz Mexico
Avital Bechar Israel
Pål Johan From Norway
Lie Tang United States
Ming Cong relative to Wei Ji China Wei Ji's profile →
Citations per field
00.5×3.2×
Wei Ji · 1×
Citations per year

Countries citing papers authored by Ming Cong

Since Specialization
Citations

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

Fields of papers citing papers by Ming Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200873
2 202164
3 201959
4 202249
5 200946
6 200943
7 201735
8 201434
9 201633
10 202132
11 201830
12 201930
13 201024
14 200723
15 201621
16 201220
17 200919
18 202019
19 202219
20 202018

About Ming Cong

Ming Cong is a scholar working on Complementary and Manual Therapy, Control and Systems Engineering, Human-Computer Interaction, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 151 papers that have together received 1.3k indexed citations. Recurring topics across this work include Soft Robotics and Applications (28 papers), Robot Manipulation and Learning (23 papers), Robotic Path Planning Algorithms (23 papers), Robotic Mechanisms and Dynamics (20 papers), Robotics and Sensor-Based Localization (14 papers), Manufacturing Process and Optimization (14 papers), Hand Gesture Recognition Systems (10 papers) and Advanced Image and Video Retrieval Techniques (9 papers). The work is most often cited by research in Control and Systems Engineering (307 citations), Industrial and Manufacturing Engineering (128 citations), Complementary and Manual Therapy (19 citations), Mechanical Engineering (307 citations) and Computer Vision and Pattern Recognition (159 citations). Ming Cong has collaborated with scholars based in China, Canada and New Zealand. Frequent co-authors include Dong Liu, Yu Du, Haiying Wen, Wei Xu, Hang Dong, S. M. Yang, Xinjun Wu, Limei Qiu, Lingling Wang and Jianmin Zhao. Their work appears in journals such as Industrial Robot the international journal of robotics research and application, IEEE Transactions on Instrumentation and Measurement, The International Journal of Advanced Manufacturing Technology, Engineering Applications of Artificial Intelligence and Journal of Intelligent & Robotic 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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