Ta‐Hsin Li

1.5k citations
58 papers · 983 · h-index 15

Impact in

Papers in

Ta‐Hsin Li

54 papers receiving 906 citations

Peers

Ta‐Hsin Li
Comparison fields: 5 of 133
  • Statistics and Probability 176
  • Signal Processing 222
  • Finance 145
  • Artificial Intelligence 288
  • Computational Mathematics 4
Replace Piotr Fryźlewicz with:
Piotr Fryźlewicz United Kingdom
Mohsen Pourahmadi United States
Guy Mélard Belgium
Pedro A. Morettin Brazil
A. J. Lawrance United Kingdom
Brett Presnell United States
Ayanendranath Basu India
Juan Romo Spain
Carlos Matrán Spain
Colin L. Mallows United States
Ta‐Hsin Li relative to Piotr Fryźlewicz United Kingdom Piotr Fryźlewicz's profile →
Citations per field
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Piotr Fryźlewicz · 1×
Citations per year

Countries citing papers authored by Ta‐Hsin Li

Since Specialization
Citations

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

Fields of papers citing papers by Ta‐Hsin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ta‐Hsin Li. 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 Ta‐Hsin Li. The network helps show where Ta‐Hsin Li may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998462
2 201032
3 201230
4 201326
5 200225
6 200824
7 199724
8 200721
9 200519
10 199418
11 199917
12 199516
13 200215
14 199615
15 200315
16 200914
17 199614
18 201113
19 200212
20 201012

About Ta‐Hsin Li

Ta‐Hsin Li is a scholar working on Signal Processing, Control and Systems Engineering, Artificial Intelligence, Applied Mathematics and Civil and Structural Engineering, having authored 58 papers that have together received 983 indexed citations. Recurring topics across this work include Control Systems and Identification (10 papers), Statistical and numerical algorithms (10 papers), Structural Health Monitoring Techniques (9 papers), Blind Source Separation Techniques (9 papers), Spectroscopy and Chemometric Analyses (8 papers), Image and Signal Denoising Methods (8 papers), Time Series Analysis and Forecasting (7 papers) and Fault Detection and Control Systems (6 papers). The work is most often cited by research in Statistics and Probability (176 citations), Signal Processing (222 citations), Finance (145 citations), Artificial Intelligence (288 citations) and Computational Mathematics (4 citations). Ta‐Hsin Li has collaborated with scholars based in United States, Saudi Arabia and Canada. Frequent co-authors include Ian Macdonald, Kai‐Sheng Song, Hee‐Seok Oh, Benjamin Kedem, Xiaodong Wang, Jerry D. Gibson, Gerald R. North, Tom Vercauteren, S. Yakowitz and Melvin J. Hinich. Their work appears in journals such as Journal of the American Statistical Association, Journal of Time Series Analysis, IEEE Transactions on Signal Processing, Technometrics and Journal of Geophysical Research Atmospheres.

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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