Ming Yang

7.5k citations
362 papers · 4.3k indexed · 1 hit paper · h-index 31

Impact in

Papers in

Ming Yang

330 papers receiving 4.2k citations

Hit Papers

Traffic Experiment Reveals the Nature of Car-Following 2014 · 315 citations
3152014202620182022100200300

Peers

Ming Yang
Comparison fields: 5 of 186
  • Computer Vision and Pattern Recognition 1.2k
  • Automotive Engineering 721
  • Aerospace Engineering 1.0k
  • Geology 205
  • Control and Systems Engineering 777
Replace Zhixiong Li with:
Zhixiong Li China
Chen Feng China
Reza Malekian South Africa
Rustam Stolkin United Kingdom
Zijun Zhang China
Ronghui Zhang China
Les A. Piegl United States
Jianwei Zhang Germany
Sauro Longhi Italy
Peng Wang China
Ming Yang relative to Zhixiong Li China Zhixiong Li's profile →
Citations per field
00.5×2.7×
Zhixiong Li · 1×
Citations per year

Countries citing papers authored by Ming Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 362 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Traffic Experiment Reveals the Nature of Car-Following
Hit paper breakdown →
2014315
2 2019126
3 2010123
4 2008107
5 2019101
6 201495
7 201775
8 201572
9 201969
10 201668
11 201762
12 202158
13 201357
14 202248
15 202246
16 200946
17 200144
18 201943
19 200842
20 201841

About Ming Yang

Ming Yang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Automotive Engineering, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 362 papers that have together received 4.3k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (74 papers), Autonomous Vehicle Technology and Safety (58 papers), Advanced Neural Network Applications (38 papers), Robotic Path Planning Algorithms (32 papers), Video Surveillance and Tracking Methods (30 papers), Remote Sensing and LiDAR Applications (27 papers), Piezoelectric Actuators and Control (22 papers) and 3D Surveying and Cultural Heritage (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Automotive Engineering (721 citations), Aerospace Engineering (1.0k citations), Geology (205 citations) and Control and Systems Engineering (777 citations). Ming Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chunxiang Wang, Yeqiang Qian, Bing Wang, Liuyuan Deng, Liang Li, Shiyang Li, Shengwu Xiong, John M. Dolan, Guangming Dong and Jin Chen. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Intelligent Vehicles, Sensors and Actuators A Physical, International Journal of Computational Intelligence Systems and IEEE Robotics and Automation Letters.

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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