Jay Cheng

2.9k citations
59 papers · 551 · h-index 12

Impact in

Papers in

Jay Cheng

53 papers receiving 526 citations

Peers

Jay Cheng
Comparison fields: 5 of 27
  • Computer Networks and Communications 239
  • Electrical and Electronic Engineering 420
  • Management Information Systems 37
  • Artificial Intelligence 37
  • Statistical and Nonlinear Physics 9
Replace Mike J. O’Mahony with:
Mike J. O’Mahony United Kingdom
David K. Hunter United Kingdom
Bikash Koley United States
Glen Kramer United States
Tong Ye China
D. Chiaroni France
Allan Kloch Denmark
Yanhua Deng United States
Robert H. Wentworth United States
Tarek S. El-Bawab United States
Jay Cheng relative to Mike J. O’Mahony United Kingdom Mike J. O’Mahony's profile →
Citations per field
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Mike J. O’Mahony · 1×
Citations per year

Countries citing papers authored by Jay Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Jay Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Jay Cheng, 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 Jay Cheng Line = papers co-authored together Jay Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198257
2 200645
3 200435
4 200733
5 200731
6 200729
7 200722
8 200621
9 199718
10
Capacity of a Class of Fading Channels with Channel State Information (CSI) Feedback
200115
11 200412
12 200712
13 200812
14 201112
15 200811
16 200811
17 200910
18 201310
19 20079
20 20089

About Jay Cheng

Jay Cheng is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Management Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 59 papers that have together received 551 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (30 papers), Advanced Optical Network Technologies (25 papers), Advanced Queuing Theory Analysis (7 papers), Advanced Wireless Communication Techniques (7 papers), Algorithms and Data Compression (5 papers), Coding theory and cryptography (4 papers), Error Correcting Code Techniques (3 papers) and graph theory and CDMA systems (2 papers). The work is most often cited by research in Computer Networks and Communications (239 citations), Electrical and Electronic Engineering (420 citations), Management Information Systems (37 citations), Artificial Intelligence (37 citations) and Statistical and Nonlinear Physics (9 citations). Jay Cheng has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Cheng‐Shang Chang, D.-S. Lee, Duan‐Shin Lee, Ross A. Lemons, Helmut Baumgart, Harry J. Leamy, Chien‐Chang Huang, Toby Berger, Yu‐Chen Hsu and Chien-Chi Chang. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Communications, IEEE Communications Letters, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and IEEE Transactions on Computers.

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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