World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
30821
World Ranking
1459
National Ranking
761

Chein-I Chang publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Chein-I Chang sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 583 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Chein-I Chang D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Chein-I Chang sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 74 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2002 - SPIE Fellow

Overview

Chein-I Chang is a researcher affiliated with the University of Maryland, Baltimore County in the United States. Their primary field of study is Engineering, with significant contributions spanning various subfields such as Media Technology, Atmospheric Science, Computer Vision and Pattern Recognition, Computational Mechanics, and Artificial Intelligence.

The scientist's research focuses on several main topics, including:

  • Remote-Sensing Image Classification
  • Remote Sensing and Land Use
  • Sparse and Compressive Sensing Techniques
  • Image and Signal Denoising Methods
  • Advanced Image Fusion Techniques
  • Infrared Target Detection Methodologies
  • Advanced Chemical Sensor Technologies

Chein-I Chang has a substantial publication record, frequently contributing to key journals in the area of geoscience and remote sensing. The most common venues for their work include:

  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters
  • National Remote Sensing Bulletin

Some recent papers authored or coauthored by Chein-I Chang are:

  • "An Effective Evaluation Tool for Hyperspectral Target Detection: 3D Receiver Operating Characteristic Curve Analysis," 2020, IEEE Transactions on Geoscience and Remote Sensing
  • "Hyperspectral Target Detection: Hypothesis Testing, Signal-to-Noise Ratio, and Spectral Angle Theories," 2021, IEEE Transactions on Geoscience and Remote Sensing

Other related publications by frequent collaborators include:

  • "A Simplified 2D-3D CNN Architecture for Hyperspectral Image Classification Based on Spatial-Spectral Fusion," 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • "Feedback Attention-Based Dense CNN for Hyperspectral Image Classification," 2021, IEEE Transactions on Geoscience and Remote Sensing
  • "Target-Constrained Interference-Minimized Band Selection for Hyperspectral Target Detection," 2020, IEEE Transactions on Geoscience and Remote Sensing

The scientist collaborates regularly with several coauthors, including Meiping Song, Chunyan Yu, Shuhan Chen, Peter Hu, and Xiaodi Shang, reflecting a network of research partnerships within the field.

Chein-I Chang has been recognized as a SPIE Fellow since 2002, an acknowledgment within the community of experts in optical engineering and related fields.

Best Publications

  • Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach

    J.C. Harsanyi;C.-I. Chang

  • Hyperspectral Imaging: Techniques for Spectral Detection and Classification

    "Chein-I Chang

  • Estimation of number of spectrally distinct signal sources in hyperspectral imagery

    Chein-I Chang;Qian Du

  • Independent component analysis-based dimensionality reduction with applications in hyperspectral image analysis

    Jing Wang;Chein-I Chang

  • A joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification

    Chein-I Chang;Qian Du;Tzu-Lung Sun;M.L.G. Althouse

  • An information-theoretic approach to spectral variability, similarity, and discrimination for hyperspectral image analysis

    Chein-I Chang

  • Anomaly detection and classification for hyperspectral imagery

    Chein-I Chang;Shao-Shan Chiang

  • Hyperspectral Data Exploitation: Theory and Applications

    Chein-I Chang

  • A New Growing Method for Simplex-Based Endmember Extraction Algorithm

    Chein-I Chang;Chao-Cheng Wu;Wei-min Liu;Yen-Chieh Ouyang

  • Automatic spectral target recognition in hyperspectral imagery

    Hsuan Ren;Chein-I Chang

  • Constrained band selection for hyperspectral imagery

    Chein-I Chang;Su Wang

  • Hyperspectral Data Processing: Algorithm Design and Analysis

    Chein-I Chang

  • Hyperspectral Data Exploitation

    Chein-I Chang

  • Constrained subpixel target detection for remotely sensed imagery

    Chein-I Chang;D.C. Heinz

  • New Hyperspectral Discrimination Measure for Spectral Characterization

    Yingzi Du;Chein I. Chang;Hsuan Ren;Chein Chi Chang

  • An automatic diagnostic system for CT liver image classification

    E-Liang Chen;Pau-Choo Chung;Ching-Liang Chen;Hong-Ming Tsai

  • A fast iterative algorithm for implementation of pixel purity index

    Chein-I Chang;A. Plaza

  • Recent Developments in High Performance Computing for Remote Sensing: A Review

    C. A. Lee;S. D. Gasster;A. Plaza;Chein-I Chang

  • Orthogonal subspace projection (OSP) revisited: a comprehensive study and analysis

    Chein-I Chang

  • Hyperspectral Imaging

    Unknown

  • Multispectral and hyperspectral image analysis with convex cones

    A. Ifarraguerri;C.-I. Chang

Frequent Co-Authors

Pau-Choo Chung
Pau-Choo Chung National Cheng Kung University
Antonio Plaza
Antonio Plaza University of Extremadura
Qian Du
Qian Du Mississippi State University
Jie Lei
Jie Lei Xidian University
Javier Plaza
Javier Plaza University of Extremadura
Hanseok Ko
Hanseok Ko Korea University
Jean-Yves Tourneret
Jean-Yves Tourneret National Polytechnic Institute of Toulouse
Nicolas Dobigeon
Nicolas Dobigeon National Polytechnic Institute of Toulouse
Ram M. Narayanan
Ram M. Narayanan Pennsylvania State University
H. Vincent Poor
H. Vincent Poor Princeton University

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