Johnnie Chan

1.3k citations
32 papers · 1.1k · h-index 16

Impact in

Papers in

Johnnie Chan

31 papers receiving 1.0k citations

Peers

Johnnie Chan
Comparison fields: 5 of 28
  • Electrical and Electronic Engineering 1.0k
  • Computer Networks and Communications 153
  • Hardware and Architecture 45
  • Atomic and Molecular Physics, and Optics 190
  • Artificial Intelligence 148
Replace Assaf Shacham with:
Assaf Shacham United States
Peter Ossieur Belgium
Nicolas Dupuis United States
F. Gaffiot France
Jung Pill Kim United States
Xiaoxia Wu United States
Jaeyong Jeong South Korea
Miles Murdocca United States
David M. Calhoun United States
A. Konczykowska France
Johnnie Chan relative to Assaf Shacham United States Assaf Shacham's profile →
Citations per field
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Citations per year

Countries citing papers authored by Johnnie Chan

Since Specialization
Citations

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

Fields of papers citing papers by Johnnie Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012132
2 201198
3 201094
4 201094
5 201090
6 201189
7 201158
8 200951
9 201245
10 201344
11 200843
12 201040
13 201039
14 201027
15 201022
16 201216
17 201314
18 201113
19 201113
20 201112

About Johnnie Chan

Johnnie Chan is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Infectious Diseases and Organic Chemistry, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Photonic and Optical Devices (31 papers), Optical Network Technologies (27 papers), Advanced Photonic Communication Systems (23 papers), Advanced Optical Network Technologies (5 papers), Neural Networks and Reservoir Computing (5 papers), Photonic Crystals and Applications (3 papers) and Advanced Fiber Laser Technologies (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.0k citations), Computer Networks and Communications (153 citations), Hardware and Architecture (45 citations), Atomic and Molecular Physics, and Optics (190 citations) and Artificial Intelligence (148 citations). Johnnie Chan has collaborated with scholars based in United States. Frequent co-authors include Keren Bergman, Gilbert Hendry, Aleksandr Biberman, Luca P. Carloni, Michal Lipson, Kishore Padmaraju, Long Chen, Benjamin G. Lee, Nicolás Sherwood-Droz and Jacob S. Levy. Their work appears in journals such as IEEE Photonics Technology Letters, Journal of Optical Communications and Networking, ACM Journal on Emerging Technologies in Computing Systems, Journal of Parallel and Distributed Computing and Journal of Lightwave Technology.

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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