Xiaofeng Ding

60 papers receiving 877 citations

Peers

Xiaofeng Ding
Comparison fields: 5 of 103
  • Signal Processing 193
  • Artificial Intelligence 475
  • Computer Networks and Communications 217
  • Information Systems 162
  • Computer Vision and Pattern Recognition 139
Replace Mohammed Kayed with:
Mohammed Kayed Egypt
Ester Zumpano Italy
Hayato Yamana Japan
John Mylopoulos Canada
Juan Chen China
Mauro Sozio France
Hwan-Seung Yong South Korea
Shenglin Zhao Hong Kong
Ming Xu China
Xi He United States
Xiaofeng Ding relative to Mohammed Kayed Egypt Mohammed Kayed's profile →
Citations per field
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Mohammed Kayed · 1×
Citations per year

Countries citing papers authored by Xiaofeng Ding

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofeng Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997132
2 201271
3 201756
4 202152
5 201146
6 201139
7 202333
8 201931
9 202030
10 202126
11 201826
12 202023
13 201322
14 201322
15 201919
16 201518
17 201617
18 202316
19 202316
20 202215

About Xiaofeng Ding

Xiaofeng Ding is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 67 papers that have together received 902 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (30 papers), Cryptography and Data Security (16 papers), Data Management and Algorithms (13 papers), Advanced SAR Imaging Techniques (7 papers), Advanced Database Systems and Queries (6 papers), Data Quality and Management (6 papers), Privacy, Security, and Data Protection (6 papers) and Graph Theory and Algorithms (5 papers). The work is most often cited by research in Signal Processing (193 citations), Artificial Intelligence (475 citations), Computer Networks and Communications (217 citations), Information Systems (162 citations) and Computer Vision and Pattern Recognition (139 citations). Xiaofeng Ding has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hai Jin, Stamatis‐Nick C. Liossis, Juliann G. Kiang, George C. Tsokos, Pan Zhou, Kim‐Kwang Raymond Choo, Anthony K. H. Tung, Zichuan Xu, Zhifeng Bao and Lei Chen. Their work appears in journals such as Information Sciences, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Information Forensics and Security, IEEE Geoscience and Remote Sensing Letters and IEEE Transactions on Network Science and Engineering.

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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