World's Best Scientists 2026 revealed!
Ronghua Shang

Ronghua Shang

D-Index & Metrics

Computer Science

D-Index
51
Citations
6928
World Ranking
5442
National Ranking
730

Ronghua Shang 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 Ronghua Shang 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: 252 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Ronghua Shang 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 Ronghua Shang 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Ronghua Shang is affiliated with Xidian University in China and has contributed extensively to research in the areas of computer science and engineering. Their work primarily spans fields such as computer vision and pattern recognition, media technology, artificial intelligence, aerospace engineering, and statistical and nonlinear physics.

Their research focuses on several main topics including remote-sensing image classification, advanced image and video retrieval techniques, face and expression recognition, advanced image fusion techniques, advanced neural network applications, remote sensing and land use, as well as complex network analysis techniques.

Shang's recent publications include:

  • RADet: Refine Feature Pyramid Network and Multi-Layer Attention Network for Arbitrary-Oriented Object Detection of Remote Sensing Images, 2020, Remote Sensing
  • Dense connection and depthwise separable convolution based CNN for polarimetric SAR image classification, 2020, Knowledge-Based Systems
  • Multi-scale Adaptive Feature Fusion Network for Semantic Segmentation in Remote Sensing Images, 2020, Remote Sensing
  • Cross-Layer Attention Network for Small Object Detection in Remote Sensing Imagery, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Convolutional Neural Network Based on Bandwise-Independent Convolution and Hard Thresholding for Hyperspectral Band Selection, 2020, IEEE Transactions on Cybernetics

Their frequent coauthors include Licheng Jiao, Weitong Zhang, Yangyang Li, Jie Feng, and Songhua Xu.

Shang's work appears regularly in several notable publication venues with multiple contributions in:

  • IEEE Transactions on Geoscience and Remote Sensing
  • Applied Soft Computing
  • Knowledge-Based Systems
  • SSRN Electronic Journal
  • Expert Systems with Applications

Best Publications

  • Community detection based on modularity and an improved genetic algorithm

    Ronghua Shang;Jing Bai;Licheng Jiao;Chao Jin

  • A Deep Learning Method for Change Detection in Synthetic Aperture Radar Images

    Yangyang Li;Cheng Peng;Yanqiao Chen;Licheng Jiao

  • A Novel Immune Clonal Algorithm for MO Problems

    Ronghua Shang;Licheng Jiao;Fang Liu;Wenping Ma

  • Dynamic-context cooperative quantum-behaved particle swarm optimization based on multilevel thresholding applied to medical image segmentation

    Yangyang Li;Licheng Jiao;Ronghua Shang;Rustam Stolkin

  • Non-Negative Spectral Learning and Sparse Regression-Based Dual-Graph Regularized Feature Selection

    Ronghua Shang;Wenbing Wang;Rustam Stolkin;Licheng Jiao

  • A modified objective function method with feasible-guiding strategy to solve constrained multi-objective optimization problems

    Licheng Jiao;Juanjuan Luo;Ronghua Shang;Fang Liu

  • RADet: Refine Feature Pyramid Network and Multi-Layer Attention Network for Arbitrary-Oriented Object Detection of Remote Sensing Images

    Yangyang Li;Qin Huang;Xuan Pei;Licheng Jiao

  • Quantum-behaved discrete multi-objective particle swarm optimization for complex network clustering

    Lingling Li;Licheng Jiao;Jiaqi Zhao;Ronghua Shang

  • SAR Targets Classification Based on Deep Memory Convolution Neural Networks and Transfer Parameters

    Ronghua Shang;Jiaming Wang;Licheng Jiao;Rustam Stolkin

  • Densely Based Multi-Scale and Multi-Modal Fully Convolutional Networks for High-Resolution Remote-Sensing Image Semantic Segmentation

    Cheng Peng;Yangyang Li;Licheng Jiao;Yanqiao Chen

  • Class-Aligned and Class-Balancing Generative Domain Adaptation for Hyperspectral Image Classification

    Unknown

  • Dense connection and depthwise separable convolution based CNN for polarimetric SAR image classification

    Ronghua Shang;Jianghai He;Jiaming Wang;Kaiming Xu

  • Feature selection based dual-graph sparse non-negative matrix factorization for local discriminative clustering

    Yang Meng;Ronghua Shang;Licheng Jiao;Wenya Zhang

  • Multi-scale Adaptive Feature Fusion Network for Semantic Segmentation in Remote Sensing Images

    Ronghua Shang;Jiyu Zhang;Licheng Jiao;Yangyang Li

  • Cross-Layer Attention Network for Small Object Detection in Remote Sensing Imagery

    Yangyang Li;Qin Huang;Xuan Pei;Yanqiao Chen

  • Clonal selection with immune dominance and anergy based multiobjective optimization

    Licheng Jiao;Maoguo Gong;Ronghua Shang;Haifeng Du

  • Subspace learning-based graph regularized feature selection

    Ronghua Shang;Wenbing Wang;Rustam Stolkin;Licheng Jiao

  • Quantum immune clonal coevolutionary algorithm for dynamic multiobjective optimization

    Ronghua Shang;Licheng Jiao;Yujing Ren;Lin Li

  • Global discriminative-based nonnegative spectral clustering

    Ronghua Shang;Zhu Zhang;Licheng Jiao;Wenbing Wang

  • Self-representation based dual-graph regularized feature selection clustering

    Ronghua Shang;Zhu Zhang;Licheng Jiao;Chiyang Liu

  • A Spatial Fuzzy Clustering Algorithm With Kernel Metric Based on Immune Clone for SAR Image Segmentation

    Ronghua Shang;Pingping Tian;Licheng Jiao;Rustam Stolkin

  • Dual-graph regularized non-negative matrix factorization with sparse and orthogonal constraints

    Yang Meng;Ronghua Shang;Licheng Jiao;Wenya Zhang

  • Overlapping community detection via network dynamics.

    Jianshe Wu;Licheng Jiao;Chao Jin;Fang Liu

Frequent Co-Authors

Licheng Jiao
Licheng Jiao Xidian University
Rustam Stolkin
Rustam Stolkin University of Birmingham
Fang Liu
Fang Liu Beihang University
Wenping Ma
Wenping Ma Xidian University
Maoguo Gong
Maoguo Gong Xidian University
Xiangrong Zhang
Xiangrong Zhang Xidian University
Fanhua Shang
Fanhua Shang Tianjin University
Shuyuan Yang
Shuyuan Yang Xidian University
Biao Hou
Biao Hou Xidian University
Yu Xue
Yu Xue Nanjing University of Information Science and Technology

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