Bor‐Chen Kuo

117 papers receiving 2.3k citations

Bor‐Chen Kuo's Hit Papers

Feature Mining for Hyperspectral Image Classification 2013 · 329 citations
3290+4+8Years since publication100200300

Peers

Bor‐Chen Kuo
Comparison fields: 5 of 140
  • Media Technology 1.3k
  • Atmospheric Science 903
  • Analytical Chemistry 359
  • Computer Vision and Pattern Recognition 566
  • Computer Science Applications 92
Replace Adil Khan with:
Adil Khan Russia
Md Palash Uddin Bangladesh
David Roi Hardoon United Kingdom
Mingyang Zhang China
Huimin Zhao China
Ronald Kemker United States
Šarūnas Raudys Lithuania
Michael Gray United States
Carlos J. Alonso Spain
Douglas E. Zongker United States
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Countries citing papers authored by Bor‐Chen Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Bor‐Chen Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bor‐Chen Kuo. 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 Bor‐Chen Kuo. The network helps show where Bor‐Chen Kuo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013338
2
Feature Mining for Hyperspectral Image Classification
Hit paper breakdown →
2013329
3 2009144
4 2009122
5 2011113
6 201098
7 201197
8 201056
9 200253
10 202053
11 201751
12 200751
13 201051
14 200246
15 201044
16 201042
17
Adaptively Ubiquitous Learning in Campus Math Path
201237
18
Improved statistics estimation and feature extraction for hyperspectral data classification
200129
19 200828
20 200828

About Bor‐Chen Kuo

Bor‐Chen Kuo is a scholar working on Media Technology, Analytical Chemistry, Atmospheric Science, Computer Vision and Pattern Recognition and Developmental and Educational Psychology, having authored 123 papers that have together received 2.4k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (55 papers), Remote Sensing and Land Use (32 papers), Spectroscopy and Chemometric Analyses (29 papers), Face and Expression Recognition (26 papers), Intelligent Tutoring Systems and Adaptive Learning (18 papers), Online Learning and Analytics (12 papers), Advanced Chemical Sensor Technologies (11 papers) and Educational Technology and Assessment (8 papers). The work is most often cited by research in Media Technology (1.3k citations), Atmospheric Science (903 citations), Analytical Chemistry (359 citations), Computer Vision and Pattern Recognition (566 citations) and Computer Science Applications (92 citations). Bor‐Chen Kuo has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Cheng‐Hsuan Li, Chih‐Cheng Hung, Jinn‐Min Yang, Melba M. Crawford, Xiuping Jia, Chin‐Teng Lin, Hsin-Hua Ho, J.S. Taur, D. A. Landgrebe and Pao-Ta Yu. Their work appears in journals such as Educational Psychology, IEEE Transactions on Geoscience and Remote Sensing, ˜The œturkish online journal of educational technology, Education and Information Technologies and Educational Technology & Society.

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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