François Chan

53 papers receiving 553 citations

Peers

François Chan
Comparison fields: 5 of 48
  • Signal Processing 105
  • Computer Networks and Communications 174
  • Electrical and Electronic Engineering 425
  • Aerospace Engineering 161
  • Artificial Intelligence 173
Replace Yaser Norouzi with:
Yaser Norouzi Iran
Gianmarco Romano Italy
Hojun You South Korea
Xiangyuan Bu China
Yifeng Xiong China
Faouzi Bellili Canada
D.G.M. Cruickshank United Kingdom
Yanbin Zou China
Julius Kusuma United States
François Chan relative to Yaser Norouzi Iran Yaser Norouzi's profile →
Citations per field
00.5×1.7×
Yaser Norouzi · 1×
Citations per year

Countries citing papers authored by François Chan

Since Specialization
Citations

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

Fields of papers citing papers by François Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199772
2 201351
3 201443
4 201839
5 201732
6 200726
7 201519
8 201818
9 201717
10 201617
11 201115
12 201715
13 202114
14 202014
15 202313
16 200711
17 200611
18 202311
19 200210
20 20189

About François Chan

François Chan is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Aerospace Engineering, Computer Networks and Communications and Signal Processing, having authored 60 papers that have together received 580 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (12 papers), Indoor and Outdoor Localization Technologies (11 papers), Radar Systems and Signal Processing (10 papers), Millimeter-Wave Propagation and Modeling (10 papers), Sparse and Compressive Sensing Techniques (9 papers), Advanced MIMO Systems Optimization (9 papers), Coding theory and cryptography (7 papers) and Wireless Communication Networks Research (7 papers). The work is most often cited by research in Signal Processing (105 citations), Computer Networks and Communications (174 citations), Electrical and Electronic Engineering (425 citations), Aerospace Engineering (161 citations) and Artificial Intelligence (173 citations). François Chan has collaborated with scholars based in Canada, United States and South Korea. Frequent co-authors include Y.T. Chan, Soheil Salari, Il‐Min Kim, David Haccoun, Robert Inkol, William J. Read, Dong In Kim, Claude D’Amours, Sreeraman Rajan and Brad R. Jackson. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, IEEE Access, IEEE Transactions on Wireless Communications, IEEE Transactions on Communications and IEEE Communications Letters.

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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