Chein‐I Chang

404 citations
16 papers · 270 indexed · h-index 8
Topics
Remote-Sensing Image Classification (8 papers)Remote Sensing and Land Use (4 papers)Image and Signal Denoising Methods (2 papers)
Partner nations
United StatesTaiwanChina

In The Last Decade

Chein‐I Chang

16 papers receiving 259 citations

Peers

Chein‐I Chang
Comparison fields: 5 of 60
  • Media Technology 156
  • Computer Vision and Pattern Recognition 95
  • Atmospheric Science 71
  • Artificial Intelligence 48
  • Aerospace Engineering 32
Replace Chia-Hsien Wen with:
Chia-Hsien Wen Taiwan
Joshua Broadwater United States
Minshan Cui United States
Claude Cariou France
Ufuk Sakarya Türkiye
Xiaohua Zhang China
Yufei Yang China
Xiangming Jiang China
Xiaoyang Zhao China
Chein‐I Chang relative to Chia-Hsien Wen Taiwan Chia-Hsien Wen's profile →
Citations per field
00.5×1.5×
Chia-Hsien Wen · 1×
Citations per year

Countries citing papers authored by Chein‐I Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chein‐I Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chein‐I Chang. 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 Chein‐I Chang. The network helps show where Chein‐I Chang may publish in the future.

Co-authorship network of co-authors of Chein‐I Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Chein‐I Chang. A scholar is included among the top collaborators of Chein‐I Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chein‐I Chang. Chein‐I Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 2
2 6
3 3
4 101
5 4
6 1
7 12
8 11
9 4
10 1
11
A feasibility study of multispectral image analysis of skin tumors.
11
12 5
13 28
14 26
15 47
16 8

About Chein‐I Chang

Chein‐I Chang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science, having authored 16 papers that have together received 270 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (8 papers), Remote Sensing and Land Use (4 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Media Technology (156 citations), Computer Vision and Pattern Recognition (95 citations) and Atmospheric Science (71 citations). Chein‐I Chang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Hanseok Ko, Eliza Yingzi Du, Kyung A. Kang, Jing Zhang, Stanley J. Miller, Daniel Heinz, Kai Zhao, Yulei Wang, Shih-Yu Chen and Pau‐Choo Chung. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Sensors Journal and Photogrammetric Engineering & Remote Sensing.

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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