Deng Tang

2.3k citations
80 papers · 1.4k · h-index 17

Impact in

Papers in

Deng Tang

72 papers receiving 1.3k citations

Peers

Deng Tang
Comparison fields: 5 of 95
  • Computer Networks and Communications 628
  • Artificial Intelligence 751
  • Computational Theory and Mathematics 309
  • Hardware and Architecture 106
  • Discrete Mathematics and Combinatorics 32
Replace Seth Pettie with:
Seth Pettie United States
Torben Hagerup Germany
L. Berman United States
J. J. Stiffler United States
M.A. Hasan Canada
Clark D. Thompson United States
Fréderik Vercauteren Belgium
Jan Van Leeuwen Netherlands
Yupu Hu China
Michael Rodeh Israel
Deng Tang relative to Seth Pettie United States Seth Pettie's profile →
Citations per field
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Seth Pettie · 1×
Citations per year

Countries citing papers authored by Deng Tang

Since Specialization
Citations

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

Fields of papers citing papers by Deng Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982309
2 1970143
3 1970122
4 201261
5 198251
6 198145
7 201444
8 198444
9 202042
10 197740
11 198734
12 202428
13 197323
14
Discrete Link Capacity Assignment in Communication Networks.
197622
15 197322
16 197121
17 201717
18 202116
19 201115
20 201915

About Deng Tang

Deng Tang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Computational Theory and Mathematics and Pathology and Forensic Medicine, having authored 80 papers that have together received 1.4k indexed citations. Recurring topics across this work include Coding theory and cryptography (40 papers), graph theory and CDMA systems (26 papers), Cryptographic Implementations and Security (26 papers), Cancer Mechanisms and Therapy (6 papers), Chaos-based Image/Signal Encryption (6 papers), Error Correcting Code Techniques (6 papers), Cellular Automata and Applications (5 papers) and Cooperative Communication and Network Coding (5 papers). The work is most often cited by research in Computer Networks and Communications (628 citations), Artificial Intelligence (751 citations), Computational Theory and Mathematics (309 citations), Hardware and Architecture (106 citations) and Discrete Mathematics and Combinatorics (32 citations). Deng Tang has collaborated with scholars based in China, United States and France. Frequent co-authors include Ching Wong, Ingemar Ingemarsson, Hiroshi Kobayashi, L.R. Bahl, Claude Carlet, Xiaohu Tang, Kiyoshi Maruyama, G. Bongiovanni, Sze Chuen Cesar Wong and Subhamoy Maitra. Their work appears in journals such as IEEE Transactions on Information Theory, Designs Codes and Cryptography, IBM Journal of Research and Development, Cryptography and Communications and Finite Fields and Their Applications.

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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