World's Best Scientists 2026 revealed!
Award Badge
Computer Science
UAE
2026
Award Badge
Computer Science
China
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 89 644 626 7 7 583 29673

Xian-Sheng Hua publications per year

The chart shows the history of publications by Xian-Sheng Hua between 2001 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xian-Sheng Hua published across 25 years, from 2001 to 2025, averaging 27 papers a year. Output peaked at 64 publications in 2021. 46 of the 674 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2001 to 2025. Vertical axis: number of publications, 0 to 64. Peak 64 publications in 2021. 2001: 3 publications 2002: 2 publications 2003: 9 publications 2004: 11 publications 2005: 20 publications 2006: 17 publications 2007: 44 publications 2008: 53 publications 2009: 59 publications 2010: 52 publications 2011: 47 publications 2012: 26 publications 2013: 10 publications 2014: 13 publications 2015: 11 publications 2016: 7 publications 2017: 15 publications 2018: 18 publications 2019: 23 publications 2020: 45 publications 2021: 64 publications 2022: 53 publications 2023: 26 publications 2024: 26 publications 2025: 20 publications
2001 2025

674 publications in total across all disciplines

View publications per year as a table
Xian-Sheng Hua: publications per year, 2001 to 2025
Year Publications
2001 3
2002 2
2003 9
2004 11
2005 20
2006 17
2007 44
2008 53
2009 59
2010 52
2011 47
2012 26
2013 10
2014 13
2015 11
2016 7
2017 15
2018 18
2019 23
2020 45
2021 64
2022 53
2023 26
2024 26
2025 20
Total 674
Download as CSV

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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 582–591 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33 583
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 88–89 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75 89
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

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)

External Links

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

Studying Computer Science in the USA opens the door to a range of related career pathways and online degrees that can expand your skills and employability. Many students consider branching out into interdisciplinary fields or pursuing further online education to strengthen their professional profile.

For those interested in security, the cheapest online criminal justice degrees offer a cost-effective way to specialize in areas like cybersecurity and digital forensics. Meanwhile, if you're aiming for careers that combine business with tech, an accounting degree online can equip you with high-demand analytical skills.

Advancing in data-driven fields is easier than ever with programs such as an online data science masters, where you can deepen your expertise in machine learning, AI, and analytics. Additionally, if you're interested in project leadership across industries, a construction management degree can combine your technical background with organizational skills for diverse opportunities.

Exploring related online degrees broadens your career options and helps you stay competitive in the evolving job market.

Best Scientists Citing Xian-Sheng Hua

Trending Scientists

Recently Published Articles