Michael Chan

2.2k citations
76 papers · 1.3k · h-index 18

Impact in

Papers in

Michael Chan

74 papers receiving 1.2k citations

Peers

Michael Chan
Comparison fields: 5 of 111
  • Computer Networks and Communications 563
  • Computer Vision and Pattern Recognition 283
  • Signal Processing 103
  • Artificial Intelligence 287
  • Structural Biology 8
Replace Zongqing Lu with:
Zongqing Lu China
Muhammad Mostafa Monowar Saudi Arabia
Ahsan Adeel United Kingdom
Brian Eriksson United States
Ashfaq Khokhar United States
Adrian Popescu France
Robert M. Patton United States
Mohd Hanafi Ahmad Hijazi Malaysia
Michael Chan relative to Zongqing Lu China Zongqing Lu's profile →
Citations per field
00.5×1.5×
Zongqing Lu · 1×
Citations per year

Countries citing papers authored by Michael Chan

Since Specialization
Citations

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

Fields of papers citing papers by Michael Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010216
2 2010159
3 2010139
4 200896
5 201959
6 199858
7 200439
8 200235
9 201134
10 200231
11 202128
12 202228
13 199827
14 200627
15 201822
16 199718
17 199517
18 199717
19
TREC2002 Web, Novelty and Filtering Track Experiments using PIRCS
200215
20 201712

About Michael Chan

Michael Chan is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Cardiology and Cardiovascular Medicine, having authored 76 papers that have together received 1.3k indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (15 papers), Heart Rate Variability and Autonomic Control (12 papers), Semantic Web and Ontologies (7 papers), Anomaly Detection Techniques and Applications (6 papers), Medical Imaging Techniques and Applications (6 papers), Indoor and Outdoor Localization Technologies (6 papers), Medical Image Segmentation Techniques (5 papers) and Hemodynamic Monitoring and Therapy (5 papers). The work is most often cited by research in Computer Networks and Communications (563 citations), Computer Vision and Pattern Recognition (283 citations), Signal Processing (103 citations), Artificial Intelligence (287 citations) and Structural Biology (8 citations). Michael Chan has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Alan Bundy, Kok-Kiong Yap, Nikhil Handigol, Te-Yuan Huang, Masayoshi Kobayashi, Nick McKeown, Rob Sherwood, Gábor T. Herman, Guru Parulkar and Emanuel Levitan. Their work appears in journals such as IEEE Sensors Journal, International Journal of Imaging Systems and Technology, ACM SIGCOMM Computer Communication Review, Biosensors and IEEE Transactions on Nuclear Science.

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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