Ding Yuan

3.9k citations
145 papers · 2.7k · h-index 26

Impact in

  • Software top 0.5%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Software System Performance and Reliability
    • Distributed systems and fault tolerance

Papers in

Ding Yuan

133 papers receiving 2.7k citations

Peers

Ding Yuan
Comparison fields: 5 of 142
  • Software 683
  • Computer Networks and Communications 1.3k
  • Information Systems 1.3k
  • Computer Vision and Pattern Recognition 553
  • Hardware and Architecture 143
Replace Xiaofei Xie with:
Xiaofei Xie Singapore
Xiaobing Sun China
Lei Ma Japan
Hui Song China
Dong Seong Kim South Korea
Irfan Ahmad Saudi Arabia
Arun K. Somani United States
Meng Yan China
Xiaohong Zhang China
Zheng Qin China
Ding Yuan relative to Xiaofei Xie Singapore Xiaofei Xie's profile →
Citations per field
00.5×10×20×26.4×
Xiaofei Xie · 1×
Citations per year

Countries citing papers authored by Ding Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Ding Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007186
2 2011175
3 2017173
4 2010167
5 2010143
6 2012127
7 2011126
8 2013121
9 2014108
10 201483
11 201772
12 201272
13 201154
14 201853
15 201651
16 201551
17 201547
18 202043
19 201538
20 200737

About Ding Yuan

Ding Yuan is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems, Artificial Intelligence and Aerospace Engineering, having authored 145 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (22 papers), Software System Performance and Reliability (22 papers), Video Surveillance and Tracking Methods (20 papers), Image Enhancement Techniques (17 papers), Advanced Image Processing Techniques (14 papers), Software Testing and Debugging Techniques (14 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Advanced Neural Network Applications (10 papers). The work is most often cited by research in Software (683 citations), Computer Networks and Communications (1.3k citations), Information Systems (1.3k citations), Computer Vision and Pattern Recognition (553 citations) and Hardware and Architecture (143 citations). Ding Yuan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hong Zhang, Yuanyuan Zhou, Lin Tan, Yuanyuan Zhou, Shankar Pasupathy, Soyeon Park, Mingui Sun, Gopal Krishna, Michael Stumm and Jing Zheng. Their work appears in journals such as Neurocomputing, ACM SIGPLAN Notices, BMC Pediatrics, IEEE Signal Processing Letters and Pattern Recognition.

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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