Chein‐I Chang

17.5k total citations · 6 hit papers
350 papers, 13.3k citations indexed

About

Chein‐I Chang is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chein‐I Chang has authored 350 papers receiving a total of 13.3k indexed citations (citations by other indexed papers that have themselves been cited), including 274 papers in Media Technology, 113 papers in Atmospheric Science and 91 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chein‐I Chang's work include Remote-Sensing Image Classification (270 papers), Remote Sensing and Land Use (113 papers) and Spectroscopy and Chemometric Analyses (72 papers). Chein‐I Chang is often cited by papers focused on Remote-Sensing Image Classification (270 papers), Remote Sensing and Land Use (113 papers) and Spectroscopy and Chemometric Analyses (72 papers). Chein‐I Chang collaborates with scholars based in United States, Taiwan and China. Chein‐I Chang's co-authors include Qian Du, Joseph C. Harsanyi, Meiping Song, Hsuan Ren, Chunyan Yu, Su Wang, Mark L. Althouse, Chao-Cheng Wu, Antonio Plaza and Yulei Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Information Theory.

In The Last Decade

Chein‐I Chang

335 papers receiving 12.8k citations

Hit Papers

Hyperspectral image classification and dimensionality red... 1994 2026 2004 2015 1994 2003 2004 2003 1999 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach
    1994 1.2k citations Chein‐I Chang et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  2. Hyperspectral Imaging: Techniques for Spectral Detection and Classification
    2003 785 citations Chein‐I Chang profile →
  3. Estimation of Number of Spectrally Distinct Signal Sources in Hyperspectral Imagery
    2004 720 citations Chein‐I Chang et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  4. Hyperspectral Imaging
    2003 565 citations Chein‐I Chang profile →
  5. A joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification
    1999 503 citations Chein‐I Chang et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  6. An Effective Evaluation Tool for Hyperspectral Target Detection: 3D Receiver Operating Characteristic Curve Analysis
    2020 255 citations Chein‐I Chang IEEE Transactions on Geoscience and Remote Sensing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chein‐I Chang United States 48 10.3k 5.3k 3.2k 2.3k 1.9k 350 13.3k
Xiuping Jia Australia 62 11.9k 1.2× 6.7k 1.3× 5.1k 1.6× 2.2k 1.0× 1.2k 0.6× 351 17.7k
Wei Li China 73 13.2k 1.3× 6.3k 1.2× 7.3k 2.3× 3.4k 1.5× 739 0.4× 723 20.6k
Pedram Ghamisi Germany 69 11.9k 1.2× 6.9k 1.3× 4.9k 1.5× 3.0k 1.3× 817 0.4× 270 18.5k
Bo Du China 79 11.8k 1.2× 6.0k 1.1× 8.8k 2.8× 5.3k 2.3× 560 0.3× 603 22.3k
José M. Bioucas‐Dias Portugal 58 17.4k 1.7× 7.7k 1.4× 9.1k 2.8× 1.8k 0.8× 1.6k 0.9× 258 24.1k
Danfeng Hong China 59 10.2k 1.0× 4.0k 0.8× 5.7k 1.8× 2.2k 1.0× 379 0.2× 247 15.3k
Bing Zhang China 53 7.9k 0.8× 3.8k 0.7× 3.6k 1.1× 1.8k 0.8× 366 0.2× 320 13.1k
Nasser M. Nasrabadi United States 42 5.9k 0.6× 3.1k 0.6× 4.6k 1.5× 1.6k 0.7× 422 0.2× 344 10.3k
Shutao Li China 78 18.2k 1.8× 5.6k 1.1× 12.7k 4.0× 3.6k 1.6× 638 0.3× 430 26.6k
Xiao Xiang Zhu Germany 68 8.1k 0.8× 4.0k 0.7× 4.9k 1.5× 2.2k 0.9× 346 0.2× 554 17.9k

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

20 of 20 papers shown
1.
Chang, Chein‐I, et al.. (2024). Iterative Gaussian–Laplacian Pyramid Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–22. 9 indexed citations
2.
Chang, Chein‐I, et al.. (2023). Unsupervised Rate Distortion Function-Based Band Subset Selection for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–18. 8 indexed citations
3.
Xue, Bai, et al.. (2023). Standardization of near infrared spectroscopies via sample spectral correlation equalization. Analytica Chimica Acta. 1252. 341031–341031. 1 indexed citations
4.
Chang, Chein‐I, Chien-Yu Lin, & Peter Hu. (2023). Band Sampling of Hyperspectral Anomaly Detection in Effective Anomaly Space. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–29. 13 indexed citations
5.
Chang, Chein‐I, Chien-Yu Lin, Pau‐Choo Chung, & Peter Hu. (2023). Iterative Spectral–Spatial Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–30. 23 indexed citations
6.
Chen, Shuhan, Chein‐I Chang, & Xiaorun Li. (2021). Component Decomposition Analysis for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–22. 33 indexed citations
7.
Chen, Shuhan, Shengwei Zhong, Bai Xue, et al.. (2020). Iterative Scale-Invariant Feature Transform for Remote Sensing Image Registration. IEEE Transactions on Geoscience and Remote Sensing. 59(4). 3244–3265. 56 indexed citations
8.
Zhong, Shengwei, Shuhan Chen, Chein‐I Chang, & Ye Zhang. (2020). Fusion of Spectral–Spatial Classifiers for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 59(6). 5008–5027. 15 indexed citations
9.
Chang, Chein‐I, et al.. (2020). Iterative Random Training Sampling Spectral Spatial Classification for Hyperspectral Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 3986–4007. 17 indexed citations
10.
Lei, Jie, et al.. (2020). Discriminative Reconstruction for Hyperspectral Anomaly Detection With Spectral Learning. IEEE Transactions on Geoscience and Remote Sensing. 58(10). 7406–7417. 55 indexed citations
11.
Xie, Weiying, Baozhu Liu, Yunsong Li, et al.. (2019). Spectral Adversarial Feature Learning for Anomaly Detection in Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing. 58(4). 2352–2365. 55 indexed citations
12.
Shi, Yanzi, et al.. (2019). Discriminative Feature Learning With Distance Constrained Stacked Sparse Autoencoder for Hyperspectral Target Detection. IEEE Geoscience and Remote Sensing Letters. 16(9). 1462–1466. 39 indexed citations
13.
Zhong, Shengwei, Chein‐I Chang, Jiaojiao Li, et al.. (2019). Class Feature Weighted Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(12). 4728–4745. 30 indexed citations
14.
Chang, Chein‐I, Meiping Song, Junping Zhang, & Chao-Cheng Wu. (2019). Editorial for Special Issue “Hyperspectral Imaging and Applications”. Remote Sensing. 11(17). 2012–2012. 9 indexed citations
15.
Zhong, Shengwei, Ye Zhang, & Chein‐I Chang. (2019). A Spectral–Spatial Feedback Close Network System for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 57(12). 10056–10069. 14 indexed citations
16.
Xie, Weiying, et al.. (2019). Hyperspectral Band Selection for Spectral–Spatial Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 58(5). 3426–3436. 39 indexed citations
17.
Lei, Jie, et al.. (2018). A Deep Pipelined Implementation of Hyperspectral Target Detection Algorithm on FPGA Using HLS. Remote Sensing. 10(4). 516–516. 14 indexed citations
18.
Jiao, Xiaoli & Chein‐I Chang. (2008). Kernel-based constrained energy minimization (K-CEM). Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6966. 69661S–69661S. 43 indexed citations
19.
Chang, Chein‐I. (2007). Hyperspectral Data Exploitation: Theory and Applications. CERN Document Server (European Organization for Nuclear Research). 310 indexed citations
20.
Plaza, Antonio & Chein‐I Chang. (2005). Fast implementation of pixel purity index algorithm. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5806. 307–307. 15 indexed citations

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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