Meng Ding

1.4k citations
94 papers · 864 · h-index 18

Impact in

    • Video Surveillance and Tracking Methods
    • Image Enhancement Techniques
    • Advanced Vision and Imaging
    • Robotic Path Planning Algorithms
    • Advanced Neural Network Applications
    • Robotics and Sensor-Based Localization
    • Infrared Target Detection Methodologies

Papers in

Meng Ding

84 papers receiving 841 citations

Peers

Meng Ding
Comparison fields: 5 of 118
  • Computer Vision and Pattern Recognition 399
  • Aerospace Engineering 294
  • Media Technology 103
  • Space and Planetary Science 8
  • Industrial and Manufacturing Engineering 43
Replace Jingdao Chen with:
Jingdao Chen United States
Michel Devy France
Carol Martínez Spain
Alexander Neubeck Switzerland
Pei An China
Yizhou Wang China
Heinz Hertlein United Kingdom
Xian-Feng Han China
Moran Ju China
Xinyue Zhao China
Meng Ding relative to Jingdao Chen United States Jingdao Chen's profile →
Citations per field
00.5×10×13.5×
Jingdao Chen · 1×
Citations per year

Countries citing papers authored by Meng Ding

Since Specialization
Citations

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

Fields of papers citing papers by Meng Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201762
2 201843
3 201237
4 202036
5 201232
6 202228
7 201128
8 201427
9 201326
10 201825
11 201724
12 201524
13 201623
14 201723
15 200921
16 202219
17 202219
18 201819
19 202316
20 201516

About Meng Ding

Meng Ding is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Media Technology, Artificial Intelligence and Electrical and Electronic Engineering, having authored 94 papers that have together received 864 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (21 papers), Robotics and Sensor-Based Localization (17 papers), Infrared Target Detection Methodologies (17 papers), Advanced Vision and Imaging (13 papers), Image Enhancement Techniques (10 papers), Artificial Intelligence in Games (8 papers), Robotic Path Planning Algorithms (8 papers) and Advanced Measurement and Detection Methods (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (399 citations), Aerospace Engineering (294 citations), Media Technology (103 citations), Space and Planetary Science (8 citations) and Industrial and Manufacturing Engineering (43 citations). Meng Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yunfeng Cao, Bangfeng Wang, Ruofeng Tong, Qingxian Wu, Li Wei, Wei Li, Hongfu Zuo, Jin Li, Li Xiao and Ping Zhao. Their work appears in journals such as Applied Sciences, Chinese Journal of Aeronautics, The Journal of Engineering, IET Intelligent Transport Systems and IEEE Access.

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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