Fangqiang Ding

18 papers receiving 665 citations

Hit Papers

AutoTrack: Towards High-Performance Visual Tracking for U...2020202620222024202050100150200250

Peers

Fangqiang Ding
Comparison fields: 5 of 47
  • Computer Vision and Pattern Recognition 567
  • Aerospace Engineering 376
  • Safety, Risk, Reliability and Quality 188
  • Electrical and Electronic Engineering 97
  • Artificial Intelligence 85
Replace Ziang Cao with:
Ziang Cao China
Junjie Ye China
Ge Deng United States
Hexin Bai United States
Alan Lukežič Slovenia
Fuling Lin China
Chong Sun China
Georg Nebehay Austria
Ashton Fagg Australia
Fangqiang Ding relative to Ziang Cao China Ziang Cao's profile →
Citations per field
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Ziang Cao · 1×
Citations per year

Countries citing papers authored by Fangqiang Ding

Since Specialization
Citations

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

Fields of papers citing papers by Fangqiang Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangqiang Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Fangqiang Ding. A scholar is included among the top collaborators of Fangqiang Ding based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fangqiang Ding. Fangqiang Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 8
4 0
5 10
6 25
7 57
8 16
9 26
10 67
11 32
12 30
13 3
14 25
15
Correlation Filter for UAV-Based Aerial Tracking: A Review and Experimental Evaluation.
8
16
AutoTrack: Towards High-Performance Visual Tracking for UAV With Automatic Spatio-Temporal Regularizationbreakdown →
299
17 30
18 26
19 9
20 7

About Fangqiang Ding

Fangqiang Ding is a scholar working on Safety, Risk, Reliability and Quality, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 20 papers that have together received 679 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (14 papers), Fire Detection and Safety Systems (9 papers) and Advanced Vision and Imaging (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (567 citations), Safety, Risk, Reliability and Quality (188 citations) and Aerospace Engineering (376 citations). Fangqiang Ding has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Changhong Fu, Yiming Li, Geng Lu, Ziyuan Huang, Junjie Ye, Fuling Lin, Bowen Li, Chris Xiaoxuan Lu, Shan An and Chen Feng. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Computers and Electronics in Agriculture and IEEE Transactions on Multimedia.

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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