J.S. Taur

2.4k citations
64 papers · 1.9k · 1 hit paper · h-index 21

Impact in

Papers in

J.S. Taur

60 papers receiving 1.8k citations

J.S. Taur's Hit Papers

A Kernel-Based Feature Selection Method for SVM With RBF Kernel for Hyperspectral Image Classification 2013 · 340 citations
3400+4+8Years since publication100200300

Peers

J.S. Taur
Comparison fields: 5 of 85
  • Control and Systems Engineering 611
  • Media Technology 191
  • Artificial Intelligence 595
  • Computer Vision and Pattern Recognition 291
  • Signal Processing 93
Replace Guowei Yang with:
Guowei Yang China
Aldebaro Barreto da Rocha Klautau Junior Brazil
Yi Liu China
Yong Luo China
Yi‐Fei Pu China
F. Anouar France
Shu‐Mei Guo Taiwan
Shuang Xu China
Yiguang Liu China
João Paulo Costeira Portugal
J.S. Taur relative to Guowei Yang China Guowei Yang's profile →
Citations per field
00.5×2×3.4×
Guowei Yang · 1×
Citations per year

Countries citing papers authored by J.S. Taur

Since Specialization
Citations

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

Fields of papers citing papers by J.S. Taur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.S. Taur. 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 J.S. Taur. The network helps show where J.S. Taur may publish in the future.

Co-authors

The 20 scholars most cited alongside J.S. Taur, 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 J.S. Taur Line = papers co-authored together J.S. Taur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Kernel-Based Feature Selection Method for SVM With RBF Kernel for Hyperspectral Image Classification
Hit paper breakdown →
2013340
2 2004182
3 1994142
4 1995124
5 2010105
6 200997
7 200871
8 201271
9 201166
10 200551
11 201147
12 200943
13 200841
14 200038
15 200238
16 200633
17 200629
18 199927
19 200327
20 200225

About J.S. Taur

J.S. Taur is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Signal Processing and Media Technology, having authored 64 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (34 papers), Neural Networks and Applications (8 papers), Adaptive Control of Nonlinear Systems (8 papers), Biometric Identification and Security (5 papers), Remote-Sensing Image Classification (3 papers), Advanced Clustering Algorithms Research (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers) and Face recognition and analysis (2 papers). The work is most often cited by research in Control and Systems Engineering (611 citations), Media Technology (191 citations), Artificial Intelligence (595 citations), Computer Vision and Pattern Recognition (291 citations) and Signal Processing (93 citations). J.S. Taur has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chin‐Wang Tao, Sun‐Yuan Kung, Hsin-Hua Ho, Cheng‐Hsuan Li, Bor‐Chen Kuo, Chih‐Cheng Hung, Yeong‐Hwa Chang, Konstantinos Diamantaras, Ching‐Chih Tsai and Hung-Wei Lin. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Fuzzy Sets and Systems, International Journal of Fuzzy Systems, IEEE Transactions on Fuzzy Systems and Soft Computing.

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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