Tai-Lin Chin

626 citations
39 papers · 504 · h-index 13

Impact in

  • Geophysics top 5%
    • Seismic Waves and Analysis
    • Earthquake Detection and Analysis
    • earthquake and tectonic studies
    • Seismology and Earthquake Studies

Papers in

Tai-Lin Chin

32 papers receiving 490 citations

Peers

Tai-Lin Chin
Comparison fields: 5 of 47
  • Geophysics 254
  • Artificial Intelligence 270
  • Computer Networks and Communications 182
  • Ocean Engineering 38
  • Computational Mathematics 1
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Mani Chandy United States
Mingsen Xu United States
Román Lara-Cueva Ecuador
M. Sami Soliman Egypt
Fucai Yu South Korea
Yadong Wan China
Shiguang Wang China
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Countries citing papers authored by Tai-Lin Chin

Since Specialization
Citations

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

Fields of papers citing papers by Tai-Lin Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai-Lin Chin. 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 Tai-Lin Chin. The network helps show where Tai-Lin Chin may publish in the future.

Co-authors

The 23 scholars most cited alongside Tai-Lin Chin, 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 Tai-Lin Chin Line = papers co-authored together Tai-Lin Chin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013118
2 202050
3 200538
4 201429
5 200626
6 201925
7 201622
8 202221
9 202120
10 202018
11 201216
12 200614
13 201513
14 201411
15 201910
16 20219
17 20068
18 20197
19 20187
20 20117

About Tai-Lin Chin

Tai-Lin Chin is a scholar working on Computer Networks and Communications, Artificial Intelligence, Geophysics, Electrical and Electronic Engineering and Information Systems, having authored 39 papers that have together received 504 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (13 papers), Seismology and Earthquake Studies (11 papers), Earthquake Detection and Analysis (8 papers), Seismic Waves and Analysis (7 papers), Mobile Ad Hoc Networks (6 papers), IoT and Edge/Fog Computing (5 papers), Distributed Sensor Networks and Detection Algorithms (4 papers) and Video Coding and Compression Technologies (3 papers). The work is most often cited by research in Geophysics (254 citations), Artificial Intelligence (270 citations), Computer Networks and Communications (182 citations), Ocean Engineering (38 citations) and Computational Mathematics (1 citation). Tai-Lin Chin has collaborated with scholars based in Taiwan, United States and Paraguay. Frequent co-authors include Yih‐Min Wu, Kewal K. Saluja, Parameswaran Ramanathan, Da‐Yi Chen, Wen‐Yen Chang, Kuang‐Ching Wang, Shan-Hsiang Shen, Yu Hen Hu, Chung-An Shen and Chien‐Hsin Chang. Their work appears in journals such as Seismological Research Letters, IEEE Transactions on Geoscience and Remote Sensing, Terrestrial Atmospheric and Oceanic Sciences, IEEE Transactions on Parallel and Distributed Systems and IEEE Access.

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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