Jay Chen

3.9k citations
88 papers · 2.7k · h-index 24

Impact in

Papers in

Jay Chen

85 papers receiving 2.6k citations

Peers

Jay Chen
Comparison fields: 5 of 152
  • Cardiology and Cardiovascular Medicine 1.0k
  • Human-Computer Interaction 215
  • Computer Networks and Communications 695
  • Information Systems 673
  • Signal Processing 195
Replace David Newman with:
David Newman United Kingdom
Hsiu‐Sen Chiang Taiwan
Kaushik Dutta United States
David Shepherd United States
Wessel Kraaij Netherlands
Jorge Marx Gómez Germany
Przemysław Kazienko Poland
Atiq Ur Rehman Pakistan
David Gil Spain
Antonio Moreno Spain
Jay Chen relative to David Newman United Kingdom David Newman's profile →
Citations per field
00.5×10×12.6×
David Newman · 1×
Citations per year

Countries citing papers authored by Jay Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jay Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000498
2 2001268
3 2005182
4 2015153
5 2000136
6 2000121
7 2017107
8 200599
9 201875
10 200675
11 201757
12 201348
13 200940
14 201940
15 201639
16 201433
17 201032
18 201031
19 201731
20 201029

About Jay Chen

Jay Chen is a scholar working on Information Systems, Computer Networks and Communications, Electrical and Electronic Engineering, Sociology and Political Science and Cardiology and Cardiovascular Medicine, having authored 88 papers that have together received 2.7k indexed citations. Recurring topics across this work include ICT in Developing Communities (37 papers), Caching and Content Delivery (22 papers), Opportunistic and Delay-Tolerant Networks (13 papers), Innovative Human-Technology Interaction (6 papers), Wireless Networks and Protocols (6 papers), Advanced Malware Detection Techniques (5 papers), Software-Defined Networks and 5G (5 papers) and Atrial Fibrillation Management and Outcomes (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.0k citations), Human-Computer Interaction (215 citations), Computer Networks and Communications (695 citations), Information Systems (673 citations) and Signal Processing (195 citations). Jay Chen has collaborated with scholars based in United States, United Arab Emirates and India. Frequent co-authors include Ravi Mandapati, José Jalife, Omer Berenfeld, Allan C. Skanes, Lakshminarayanan Subramanian, Moussa Mansour, Faramarz H. Samie, Thomas Pötsch, Yasir Zaki and Nicola Dell. Their work appears in journals such as Circulation, Journal of Cardiovascular Electrophysiology, ACM SIGMETRICS Performance Evaluation Review, The Analyst and Proceedings of the ACM on Human-Computer Interaction.

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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