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D-Index & Metrics

Computer Science

D-Index
89
Citations
29673
World Ranking
644
National Ranking
7

Xian-Sheng Hua 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 Xian-Sheng Hua 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.

Xian-Sheng Hua 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 Xian-Sheng Hua 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: 89 D-Index — 96th percentile

96% 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

  • 2026 - Research.com Computer Science in United Arab Emirates Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2016 - IEEE Fellow For contributions to multimedia content analysis and image search
  • 2015 - ACM Distinguished Member
  • 2009 - ACM Senior Member

Overview

Xian-Sheng Hua is a researcher affiliated with Alibaba Group (China) with a focus on computer science, producing work primarily in the fields of computer vision and pattern recognition, and artificial intelligence. Their research contributions extend into biomedical engineering, molecular biology, and radiology, nuclear medicine, and imaging.

The scientist's work spans various main topics, including domain adaptation and few-shot learning, advanced neural network applications, and advanced image and video retrieval techniques. They have also contributed to the fields of video surveillance and tracking methods, multimodal machine learning applications, human pose and action recognition, and anomaly detection techniques and applications.

Frequently publishing in a range of venues, Xian-Sheng Hua has contributed notably to arXiv (Cornell University), IEEE Transactions on Multimedia, IEEE Transactions on Image Processing, the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and the Proceedings of the AAAI Conference on Artificial Intelligence.

Their recent published papers include:

  • Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach, 2021, IEEE Transactions on Intelligent Transportation Systems
  • Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Camera-Aware Proxies for Unsupervised Person Re-Identification, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • A Survey on Deep Hashing Methods, 2022, ACM Transactions on Knowledge Discovery from Data

Collaboration is an important part of their research activities. Frequent co-authors include Jianqiang Huang, Xiao Luo, Chong Chen, Hanwang Zhang, and Yazhou Yao.

Awards received by Xian-Sheng Hua comprise the IEEE Fellow distinction awarded in 2016 for contributions to multimedia content analysis and image search, the ACM Distinguished Member honor in 2015, and the ACM Senior Member recognition in 2009.

Best Publications

  • Correlative multi-label video annotation

    Guo-Jun Qi;Xian-Sheng Hua;Yong Rui;Jinhui Tang

  • A generic framework of user attention model and its application in video summarization

    Yu-Fei Ma;Xian-Sheng Hua;Lie Lu;Hong-Jiang Zhang

  • Structure Aware Single-Stage 3D Object Detection From Point Cloud

    Chenhang He;Hui Zeng;Jianqiang Huang;Xian-Sheng Hua

  • Tag ranking

    Dong Liu;Xian-Sheng Hua;Linjun Yang;Meng Wang

  • Spatio-Temporal AutoEncoder for Video Anomaly Detection

    Yiru Zhao;Bing Deng;Chen Shen;Yao Liu

  • Unified Video Annotation via Multigraph Learning

    Meng Wang;Xian-Sheng Hua;Richang Hong;Jinhui Tang

  • Proceedings of the 20th ACM international conference on Multimedia

    Noboru Babaguchi;Kiyoharu Aizawa;John Smith;Shin'ichi Satoh

  • Counterfactual VQA: A Cause-Effect Look at Language Bias

    Yulei Niu;Kaihua Tang;Hanwang Zhang;Zhiwu Lu

  • Robust video signature based on ordinal measure

    Xian-Sheng Hua;Xian Chen;Hong-Jiang Zhang

  • Beyond Distance Measurement: Constructing Neighborhood Similarity for Video Annotation

    Meng Wang;Xian-Sheng Hua;Jinhui Tang;Richang Hong

  • Automatically inserting advertisements into source video content playback streams

    Xian-Sheng Hua;Wei Lai;Wei-Ying Ma;Shipeng Li

  • Quantization Networks

    Jiwei Yang;Xu Shen;Jun Xing;Xinmei Tian

  • Joint multi-label multi-instance learning for image classification

    Zheng-Jun Zha;Xian-Sheng Hua;Tao Mei;Jingdong Wang

  • Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach

    Wei Yang Bryan Lim;Jianqiang Huang;Zehui Xiong;Jiawen Kang

  • HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation

    Unknown

  • Active learning in multimedia annotation and retrieval: A survey

    Meng Wang;Xian-Sheng Hua

  • Causal intervention for weakly-supervised semantic segmentation

    Dong Zhang;Hanwang Zhang;Jinhui Tang;Xian-Sheng Hua

  • Towards a Relevant and Diverse Search of Social Images

    Meng Wang;Kuiyuan Yang;Xian-Sheng Hua;Hong-Jiang Zhang

  • Assistive tagging: A survey of multimedia tagging with human-computer joint exploration

    Meng Wang;Bingbing Ni;Xian-Sheng Hua;Tat-Seng Chua

  • Improving 3D Object Detection With Channel-Wise Transformer

    Hualian Sheng;Sijia Cai;Yuan Liu;Bing Deng

  • Ensemble Manifold Regularization

    Bo Geng;Dacheng Tao;Chao Xu;Linjun Yang

  • Learning to tag

    Lei Wu;Linjun Yang;Nenghai Yu;Xian-Sheng Hua

  • Graph-based semi-supervised learning with multiple labels

    Zheng-Jun Zha;Tao Mei;Jingdong Wang;Zengfu Wang

  • PLBP: An effective local binary patterns texture descriptor with pyramid representation

    Xueming Qian;Xian-Sheng Hua;Ping Chen;Liangjun Ke

  • Media Tag Recommendation Technologies

    Linjun Yang;Lei Wu;Xian-Sheng Hua

Frequent Co-Authors

Tao Mei
Tao Mei Jingdong (China)
Shipeng Li
Shipeng Li Chinese University of Hong Kong, Shenzhen
Meng Wang
Meng Wang Hefei University of Technology
Jingdong Wang
Jingdong Wang Baidu (China)
Linjun Yang
Linjun Yang Microsoft (United States)
Jinhui Tang
Jinhui Tang Nanjing University of Science and Technology
Guo-Jun Qi
Guo-Jun Qi Futurewei Technologies
Zheng-Jun Zha
Zheng-Jun Zha University of Science and Technology of China
Lie Lu
Lie Lu Dolby (United States)

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