Michael Tan

1.7k citations
94 papers · 1.2k · h-index 17

Impact in

Papers in

Michael Tan

90 papers receiving 1.1k citations

Peers

Michael Tan
Comparison fields: 5 of 110
  • Computer Networks and Communications 316
  • Signal Processing 137
  • Electrical and Electronic Engineering 589
  • Ophthalmology 41
  • Atomic and Molecular Physics, and Optics 154
Replace Toru Abe with:
Toru Abe Japan
John M. Senior United Kingdom
C. R. Srinivasan India
Hongxiang Wang China
Yujie Fan China
Julián Cabrera Spain
Ashkan Ashrafi United States
Michael Tan relative to Toru Abe Japan Toru Abe's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Tan

Since Specialization
Citations

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

Fields of papers citing papers by Michael Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Semantic Data Caching and Replacement
1996315
2 200550
3 200942
4 200738
5 201334
6 201934
7 201728
8 200927
9 201826
10 201924
11 202222
12 201721
13 200920
14 201619
15 201619
16 200918
17 200516
18 201814
19 200814
20 202214

About Michael Tan

Michael Tan is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Ophthalmology, Computational Mechanics and Materials Chemistry, having authored 94 papers that have together received 1.2k indexed citations. Recurring topics across this work include Semiconductor Lasers and Optical Devices (48 papers), Photonic and Optical Devices (40 papers), Optical Network Technologies (27 papers), Semiconductor Quantum Structures and Devices (12 papers), Nanomaterials and Printing Technologies (6 papers), Healthcare Policy and Management (4 papers), Advanced Optical Network Technologies (4 papers) and Surface Roughness and Optical Measurements (4 papers). The work is most often cited by research in Computer Networks and Communications (316 citations), Signal Processing (137 citations), Electrical and Electronic Engineering (589 citations), Ophthalmology (41 citations) and Atomic and Molecular Physics, and Optics (154 citations). Michael Tan has collaborated with scholars based in United States, Philippines and Japan. Frequent co-authors include Michael J. Franklin, Divesh Srivastava, Shaul Dar, Björn Þór Jónsson, Wayne V. Sorin, Sagi Mathai, Mary Donnabelle L. Balela, Binhao Wang, Mahnaz Shahidi and Stanley Cheung. Their work appears in journals such as Annals of Internal Medicine, Journal of Lightwave Technology, Applied Physics A, Scientific Reports and The Analyst.

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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