Ding Yuan

3.8k citations
129 papers · 2.9k · h-index 26

Impact in

  • Software top 0.5%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Software System Performance and Reliability
    • Network Security and Intrusion Detection

Papers in

Ding Yuan

121 papers receiving 2.8k citations

Peers

Ding Yuan
Comparison fields: 5 of 110
  • Software 776
  • Computer Networks and Communications 1.5k
  • Information Systems 1.4k
  • Computer Vision and Pattern Recognition 586
  • Hardware and Architecture 148
Replace Junfeng Yang with:
Junfeng Yang United States
Song Fu United States
Suman Jana United States
Xiao Ma China
Irfan Ahmad Saudi Arabia
Junfeng Wang China
Christian Berger Sweden
Xiaoke Zhu China
Yogesh Singh India
Ding Yuan relative to Junfeng Yang United States Junfeng Yang's profile →
Citations per field
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Junfeng Yang · 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 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007199
2 2011189
3 2017182
4 2010179
5 2010149
6 2012145
7 2013133
8 2011130
9 2014110
10
Be conservative: enhancing failure diagnosis with proactive logging
2013102
11 201485
12 201281
13 201777
14 201859
15 201556
16 201652
17 201549
18 202345
19 200742
20 201539

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 129 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (25 papers), Software System Performance and Reliability (23 papers), Video Surveillance and Tracking Methods (21 papers), Image Enhancement Techniques (17 papers), Advanced Image and Video Retrieval Techniques (14 papers), Software Testing and Debugging Techniques (14 papers), Advanced Image Processing Techniques (13 papers) and Infrared Target Detection Methodologies (10 papers). The work is most often cited by research in Software (776 citations), Computer Networks and Communications (1.5k citations), Information Systems (1.4k citations), Computer Vision and Pattern Recognition (586 citations) and Hardware and Architecture (148 citations). Ding Yuan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yuanyuan Zhou, Hong Zhang, Lin Tan, Yuanyuan Zhou, Shankar Pasupathy, Soyeon Park, Gopal Krishna, Mingui Sun, Michael Stumm and Jing Zheng. Their work appears in journals such as Neurocomputing, IEEE Signal Processing Letters, ACM SIGPLAN Notices, Pattern Recognition and Applied Intelligence.

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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