World's Best Scientists 2026 revealed!
Baochang Zhang

Baochang Zhang

D-Index & Metrics

Computer Science

D-Index
57
Citations
14167
World Ranking
3806
National Ranking
508

Baochang Zhang 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 Baochang Zhang 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: 360 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Baochang Zhang 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 Baochang Zhang 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: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Overview

Baochang Zhang is affiliated with Beihang University in China and has contributed extensively to the fields of computer science and engineering. Their primary research areas include computer vision and pattern recognition, artificial intelligence, radiology, nuclear medicine and imaging, aerospace engineering, and electrical and electronic engineering.

The scientist's work focuses on several main topics, including advanced neural network applications, domain adaptation and few-shot learning, advanced image and video retrieval techniques, video surveillance and tracking methods, human pose and action recognition, anomaly detection techniques and applications, and adversarial robustness in machine learning.

Baochang Zhang has published numerous papers in a variety of peer-reviewed venues, with a significant number of contributions to arXiv (Cornell University). Other frequent publication venues include the Proceedings of the AAAI Conference on Artificial Intelligence, the International Journal of Computer Vision, Neurocomputing, and IEEE Transactions on Neural Networks and Learning Systems.

The frequent coauthors collaborating with Baochang Zhang are:

  • David Doermann (41 joint publications)
  • Guodong Guo (28 joint publications)
  • Rongrong Ji (25 joint publications)
  • Xianbin Cao (23 joint publications)
  • Yanjing Li (22 joint publications)

Among recent papers authored or coauthored by Baochang Zhang are:

  • Memory Attention Networks for Skeleton-Based Action Recognition, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • Pedestrian Trajectory Prediction Based on Deep Convolutional LSTM Network, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Multi-block SSD based on small object detection for UAV railway scene surveillance, 2020, Chinese Journal of Aeronautics
  • Multi-modal data Alzheimer's disease detection based on 3D convolution, 2022, Biomedical Signal Processing and Control
  • Fine-Grained Spatial Alignment Model for Person Re-Identification With Focal Triplet Loss, 2020, IEEE Transactions on Image Processing

Baochang Zhang has also contributed to the domain through book publications, including the title Neural Networks with Model Compression, published by Springer International Publishing in 2024.

Best Publications

  • Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descriptor

    Baochang Zhang;Yongsheng Gao;Sanqiang Zhao;Jianzhuang Liu

  • HRank: Filter Pruning Using High-Rank Feature Map

    Mingbao Lin;Rongrong Ji;Yan Wang;Yichen Zhang

  • Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition

    Baochang Zhang;Shiguang Shan;Xilin Chen;Wen Gao

  • Towards Optimal Structured CNN Pruning via Generative Adversarial Learning

    Shaohui Lin;Rongrong Ji;Chenqian Yan;Baochang Zhang

  • Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks

    Xiaolong Jiang;Zehao Xiao;Baochang Zhang;Xiantong Zhen

  • Gabor Convolutional Networks

    Shangzhen Luan;Baochang Zhang;Chen Chen;Xianbin Cao

  • Learning Compact and Discriminative Stacked Autoencoder for Hyperspectral Image Classification

    Peicheng Zhou;Junwei Han;Gong Cheng;Baochang Zhang

  • Implicit Diffusion Models for Continuous Super-Resolution

    Unknown

  • Channel Pruning via Automatic Structure Search

    Mingbao Lin;Rongrong Ji;Yuxin Zhang;Baochang Zhang

  • Cross-Modality Binary Code Learning via Fusion Similarity Hashing

    Hong Liu;Rongrong Ji;Yongjian Wu;Feiyue Huang

  • Gabor Convolutional Networks

    Shangzhen Luan;Chen Chen;Baochang Zhang;Jungong Han

  • Accelerating convolutional networks via global & dynamic filter pruning

    Shaohui Lin;Rongrong Ji;Yuchao Li;Yongjian Wu

  • Land-use scene classification using multi-scale completed local binary patterns

    Chen Chen;Baochang Zhang;Hongjun Su;Wei Li

  • Action Recognition Using 3D Histograms of Texture and A Multi-Class Boosting Classifier

    Baochang Zhang;Yun Yang;Chen Chen;Linlin Yang

  • Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue

    Unknown

  • Multi-block SSD based on small object detection for UAV railway scene surveillance

    Unknown

  • Unsupervised deep hashing via binary latent factor models for large-scale cross-modal retrieval

    Gengshen Wu;Zijia Lin;Jungong Han;Li Liu

  • Directional binary code with application to PolyU near-infrared face database

    Baochang Zhang;Lei Zhang;David Zhang;Linlin Shen

  • Memory Attention Networks for Skeleton-Based Action Recognition

    Ce Li;Chunyu Xie;Baochang Zhang;Jungong Han

  • Geometric Reinforcement Learning for Path Planning of UAVs

    Baochang Zhang;Zhili Mao;Wanquan Liu;Jianzhuang Liu

  • Pedestrian Trajectory Prediction Based on Deep Convolutional LSTM Network

    Xiao Song;Kai Chen;Xu Li;Jinghan Sun

  • Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression

    Yuchao Li;Shaohui Lin;Baochang Zhang;Jianzhuang Liu

  • Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network

    Xiaolong Jiang;Zehao Xiao;Baochang Zhang;Xiantong Zhen

  • Rotated Binary Neural Network

    Mingbao Lin;Rongrong Ji;Zihan Xu;Baochang Zhang

  • Memory Attention Networks for Skeleton-based Action Recognition

    Chunyu Xie;Ce Li;Baochang Zhang;Chen Chen

Frequent Co-Authors

Rongrong Ji
Rongrong Ji Xiamen University
David Doermann
David Doermann University at Buffalo, State University of New York
Jianzhuang Liu
Jianzhuang Liu Shenzhen Institutes of Advanced Technology
Jungong Han
Jungong Han Aberystwyth University
Qixiang Ye
Qixiang Ye Chinese Academy of Sciences
Feiyue Huang
Feiyue Huang Tencent (China)
Guodong Guo
Guodong Guo West Virginia University
Ling Shao
Ling Shao Terminus International
Wankou Yang
Wankou Yang Southeast University
Xiantong Zhen
Xiantong Zhen University of Amsterdam

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

Pursuing a Computer Science degree in the USA opens doors to a wide variety of online programs and career options that complement this field. For those interested in the theoretical and mathematical foundations of technology, enrolling in an online theoretical physics degree can deepen your understanding of computational principles.

Data-driven roles are also in high demand. If you want advanced analytical skills without a heavy financial burden, consider the cheapest master in data science programs available online. These courses provide industry-relevant skills for roles in big data, AI, and analytics.

For a technology-focused path, the online master’s in electrical engineering degree can upgrade your expertise in hardware, software integration, and emerging tech.

Looking for a quicker route into tech careers? Explore short certificate programs that pay well. These streamlined options suit those aiming for in-demand jobs or career switches without committing to a full degree.

Best Scientists Citing Baochang Zhang

Trending Scientists

Recently Published Articles