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D-Index & Metrics

Computer Science

D-Index
52
Citations
11765
World Ranking
5050
National Ranking
303

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

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