Ning Cai

3.5k citations
81 papers · 1.8k · h-index 16

Impact in

Papers in

Ning Cai

76 papers receiving 1.8k citations

Peers

Ning Cai
Comparison fields: 5 of 60
  • Computer Networks and Communications 1.4k
  • Electrical and Electronic Engineering 1.3k
  • Artificial Intelligence 445
  • Discrete Mathematics and Combinatorics 42
  • Computational Theory and Mathematics 162
Replace C. Heegard with:
C. Heegard United States
Igal Sason Israel
Joseph J. Boutros France
Sandeep Bhatt United States
R. Michael Tanner United States
Jaikumar Radhakrishnan India
Chandra Nair Hong Kong
Charles M. Fiduccia United States
Mario Blaum United States
Michele Elia Italy
Ning Cai relative to C. Heegard United States C. Heegard's profile →
Citations per field
00.5×4.2×
C. Heegard · 1×
Citations per year

Countries citing papers authored by Ning Cai

Since Specialization
Citations

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

Fields of papers citing papers by Ning Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003277
2 2006270
3 2006205
4 2005150
5 2010129
6
NETWORK ERROR CORRECTION, PART II: LOWER BOUNDS
2006124
7 200499
8 200364
9 200453
10 200738
11 199720
12 201819
13 202018
14 199116
15 199715
16 201915
17 200614
18 199813
19 198912
20 201912

About Ning Cai

Ning Cai is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology, having authored 81 papers that have together received 1.8k indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (39 papers), Cooperative Communication and Network Coding (34 papers), Coding theory and cryptography (12 papers), Quantum Computing Algorithms and Architecture (10 papers), DNA and Biological Computing (10 papers), Quantum Information and Cryptography (9 papers), Advanced Wireless Communication Technologies (9 papers) and graph theory and CDMA systems (9 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Electrical and Electronic Engineering (1.3k citations), Artificial Intelligence (445 citations), Discrete Mathematics and Combinatorics (42 citations) and Computational Theory and Mathematics (162 citations). Ning Cai has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Raymond W. Yeung, Shuo Li, Zhen Zhang, Rudolf Ahlswede, Andreas Winter, Zhen Zhang, Lihua Song, Masahito Hayashi, W. K. Chow and Holger Boche. Their work appears in journals such as IEEE Transactions on Information Theory, Problems of Information Transmission, European Journal of Combinatorics, IEEE Transactions on Communications and Combinatorics Probability Computing.

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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