Bing Sun

957 citations
65 papers · 303 · h-index 9

Impact in

Papers in

Bing Sun

58 papers receiving 288 citations

Peers

Bing Sun
Comparison fields: 5 of 54
  • Algebra and Number Theory 30
  • Artificial Intelligence 192
  • Discrete Mathematics and Combinatorics 19
  • Computer Vision and Pattern Recognition 102
  • Hardware and Architecture 24
Replace Je Hong Park with:
Je Hong Park South Korea
Kishan Chand Gupta India
Ryan Julian United States
Gaurav Mittal United States
Katsuhiro Ota Japan
Chun‐Nan Hung Taiwan
Marcel Ambroze United Kingdom
Evgenii Krouk Russia
Juliane Krämer Germany
K. Wendy Tang United States
Bing Sun relative to Je Hong Park South Korea Je Hong Park's profile →
Citations per field
00.5×10×15×19×
Je Hong Park · 1×
Citations per year

Countries citing papers authored by Bing Sun

Since Specialization
Citations

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

Fields of papers citing papers by Bing Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201943
2 201133
3 201622
4 201015
5 201111
6 201211
7 20159
8 20189
9 20149
10 20158
11 20227
12 20116
13 20236
14
Provable Security Evaluation of Structures against Impossible Differential and Zero Correlation Linear Cryptanalysis
20165
15 20215
16 20115
17 20155
18 20174
19 20194
20 20184

About Bing Sun

Bing Sun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Algebra and Number Theory, Geometry and Topology and Electrical and Electronic Engineering, having authored 65 papers that have together received 303 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (29 papers), Chaos-based Image/Signal Encryption (25 papers), Coding theory and cryptography (21 papers), Advanced Topics in Algebra (13 papers), Algebraic structures and combinatorial models (12 papers), Physical Unclonable Functions (PUFs) and Hardware Security (7 papers), graph theory and CDMA systems (5 papers) and Advanced SAR Imaging Techniques (4 papers). The work is most often cited by research in Algebra and Number Theory (30 citations), Artificial Intelligence (192 citations), Discrete Mathematics and Combinatorics (19 citations), Computer Vision and Pattern Recognition (102 citations) and Hardware and Architecture (24 citations). Bing Sun has collaborated with scholars based in China, Belgium and Singapore. Frequent co-authors include Chao Li, Liangyun Chen, Kangquan Li, Cheng Li, Longjiang Qu, Ruilin Li, Ying‐Chun Chen, Shaojing Fu, Xiangdong Zhou and Long Qu. Their work appears in journals such as IET Information Security, IEEE Transactions on Information Theory, Science China Information Sciences, Journal of Systems and Software and Journal of Geometry and Physics.

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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