World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
11765
World Ranking
5051
National Ranking
302

Jinchang Ren 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 Jinchang Ren 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: 286 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Jinchang Ren 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 Jinchang Ren 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Jinchang Ren is affiliated with Robert Gordon University in the United Kingdom. Their research activity spans primarily across the fields of Computer Science and Engineering, with notable emphasis on Computer Vision and Pattern Recognition, Media Technology, and Artificial Intelligence among other subfields.

Their scholarly output includes significant work in Remote-Sensing Image Classification, Advanced Image Fusion Techniques, and Remote Sensing and Land Use. Additional topics explored in their research are Advanced Image and Video Retrieval Techniques, Image Enhancement Techniques, Spectroscopy and Chemometric Analyses, and Digital Media Forensic Detection.

Jinchang Ren has frequently published in several established venues. Most publications appear in IEEE Transactions on Geoscience and Remote Sensing, followed by arXiv (Cornell University), IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Cognitive Computation, and Remote Sensing.

The following recent papers highlight the scope of their research contributions:

  • An Unsupervised Domain Adaptation Method Towards Multi-Level Features and Decision Boundaries for Cross-Scene Hyperspectral Image Classification, 2022, IEEE Transactions on Geoscience and Remote Sensing
  • A framework for breast cancer classification using Multi-DCNNs, 2021, Computers in Biology and Medicine
  • Multiscale Diff-Changed Feature Fusion Network for Hyperspectral Image Change Detection, 2023, IEEE Transactions on Geoscience and Remote Sensing
  • Urban PM2.5 Concentration Prediction via Attention-Based CNN-LSTM, 2020, Applied Sciences
  • Varietal Classification of Rice Seeds Using RGB and Hyperspectral Images, 2020, IEEE Access

In collaboration, Jinchang Ren has worked extensively with several frequent co-authors including Huimin Zhao, Yijun Yan, Genyun Sun, Stephen Marshall, and Ping Ma.

In addition to journal publications, Jinchang Ren has contributed to book publications. A notable example is a 2022 book titled Communications, Signal Processing, and Systems, published by Springer Science+Business Media.

Best Publications

  • Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning

    Junwei Han;Dingwen Zhang;Gong Cheng;Lei Guo

  • EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges.

    Natasha Padfield;Jaime Zabalza;Huimin Zhao;Valentin Masero

  • Background Prior-Based Salient Object Detection via Deep Reconstruction Residual

    Junwei Han;Dingwen Zhang;Xintao Hu;Lei Guo

  • Breast cancer detection using deep convolutional neural networks and support vector machines

    Dina A. Ragab;Dina A. Ragab;Maha Sharkas;Stephen Marshall;Jinchang Ren

  • Medical image analysis with artificial neural networks.

    Jianmin Jiang;Paul R. Trundle;Jinchang Ren

  • Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging

    Jaime Zabalza;Jinchang Ren;Jiangbin Zheng;Huimin Zhao

  • Classification of Hyperspectral Images by Exploiting Spectral–Spatial Information of Superpixel via Multiple Kernels

    Leyuan Fang;Shutao Li;Wuhui Duan;Jinchang Ren

  • Effective and Efficient Midlevel Visual Elements-Oriented Land-Use Classification Using VHR Remote Sensing Images

    Gong Cheng;Junwei Han;Lei Guo;Zhenbao Liu

  • ANN vs. SVM: Which one performs better in classification of MCCs in mammogram imaging

    Jinchang Ren

  • Novel Folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing

    Jaime Zabalza;Jinchang Ren;Mingqiang Yang;Yi Zhang

  • Novel Two-Dimensional Singular Spectrum Analysis for Effective Feature Extraction and Data Classification in Hyperspectral Imaging

    Jaime Zabalza;Jinchang Ren;Jiangbin Zheng;Junwei Han

  • A framework for breast cancer classification using Multi-DCNNs.

    Dina Ahmed Ragab;Dina Ahmed Ragab;Omneya Attallah;Maha A. Sharkas;Jinchang Ren

  • Class Imbalance Ensemble Learning Based on the Margin Theory

    Wei Feng;Wenjiang Huang;Jinchang Ren

  • Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinement

    Yijun Yan;Jinchang Ren;Genyun Sun;Huimin Zhao

  • Offline handwritten Arabic cursive text recognition using Hidden Markov Models and re-ranking

    Jawad H AlKhateeb;Jinchang Ren;Jianmin Jiang;Husni Al-Muhtaseb

  • Effective Denoising and Classification of Hyperspectral Images Using Curvelet Transform and Singular Spectrum Analysis

    Tong Qiao;Jinchang Ren;Zheng Wang;Jaime Zabalza

  • A deep-learning based feature hybrid framework for spatiotemporal saliency detection inside videos

    Zheng Wang;Jinchang Ren;Dong Zhang;Meijun Sun

  • Singular Spectrum Analysis for Effective Feature Extraction in Hyperspectral Imaging

    Jaime Zabalza;Jinchang Ren;Zheng Wang;Stephen Marshall

  • Effective Feature Extraction and Data Reduction in Remote Sensing Using Hyperspectral Imaging [Applications Corner]

    Jianchang Ren;Jaime Zabalza;Stephen Marshall;Jiangbin Zheng

  • Building Extraction from High-Resolution Aerial Imagery Using a Generative Adversarial Network with Spatial and Channel Attention Mechanisms

    Xuran Pan;Xuran Pan;Fan Yang;Lianru Gao;Zhengchao Chen

  • Big data analytics and mining for effective visualization and trends forecasting of crime data

    Mingchen Feng;Jiangbin Zheng;Jinchang Ren;Amir Hussain

  • Robust PCA micro-doppler classification using SVM on embedded systems

    Jaime Zabalza;Carmine Clemente;Gaetano Di Caterina;Jinchang Ren

Frequent Co-Authors

Stephen Marshall
Stephen Marshall University of Strathclyde
Jianmin Jiang
Jianmin Jiang Shenzhen University
Xiuping Jia
Xiuping Jia University of New South Wales
Junwei Han
Junwei Han Northwestern Polytechnical University
Amir Hussain
Amir Hussain Edinburgh Napier University
John J. Soraghan
John J. Soraghan University of Strathclyde
Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
Peijun Du
Peijun Du Nanjing University
Hans C. Graber
Hans C. Graber University of Miami
Lei Guo
Lei Guo Beijing University of Posts and Telecommunications

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education opens up a world of possibilities for those interested in computer science and related fields. Many students begin by pursuing an associate's degree online, offering foundational knowledge and flexibility for those balancing other commitments.

Cost is a significant factor for many learners. Prospective students can find the cheapest online degrees to help reduce financial pressure while earning a recognized credential. Additionally, not all institutions have high admission requirements—there are reputable college with low gpa options, making higher education more accessible regardless of your academic history.

Computer science graduates can pursue diverse careers, but it's also valuable to explore related areas. For example, you might wonder, what can i do with an environmental science degree? Understanding the overlap between technology and environmental science could open doors to innovative, interdisciplinary careers.

Best Scientists Citing Jinchang Ren

Trending Scientists

Recently Published Articles