World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
5803
World Ranking
8110
National Ranking
1068

Zhiyong Cheng 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 Zhiyong Cheng 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: 151 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Zhiyong Cheng 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 Zhiyong Cheng 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Zhiyong Cheng is affiliated with Qilu University of Technology in China and has a research focus in Computer Science with a substantial number of publications reaching 191. Their work spans multiple subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Computer Networks and Communications, and Social Psychology.

Their research topics cover a range of areas such as:

  • Recommender Systems and Techniques
  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Advanced Graph Neural Networks
  • Topic Modeling
  • Video Surveillance and Tracking Methods
  • Domain Adaptation and Few-Shot Learning

Zhiyong Cheng has authored publications in key venues including:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • ACM Transactions on Information Systems
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Circuits and Systems for Video Technology

Several recent papers provide insight into the scope of their research contributions:

  • "Deep Collaborative Multi-View Hashing for Large-Scale Image Search" (2020), IEEE Transactions on Image Processing
  • "DeepDance: Music-to-Dance Motion Choreography With Adversarial Learning" (2020), IEEE Transactions on Multimedia
  • "Disentangled Graph Neural Networks for Session-Based Recommendation" (2022), IEEE Transactions on Knowledge and Data Engineering
  • "Disentangled Multimodal Representation Learning for Recommendation" (2022), IEEE Transactions on Multimedia
  • "An Attribute-Aware Attentive GCN Model for Attribute Missing in Recommendation" (2020), IEEE Transactions on Knowledge and Data Engineering

Frequent collaborators include Liqiang Nie, Fan Liu, Lei Zhu, Mohan Kankanhalli, and Jingjing Li. This network reflects joint work in areas such as recommendation systems and multimedia processing.

Best Publications

  • Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews

    Zhiyong Cheng;Ying Ding;Lei Zhu;Mohan Kankanhalli

  • Interest-aware Message-Passing GCN for Recommendation

    Fan Liu;Zhiyong Cheng;Lei Zhu;Zan Gao

  • MMALFM: Explainable Recommendation by Leveraging Reviews and Images

    Zhiyong Cheng;Xiaojun Chang;Lei Zhu;Rose C. Kanjirathinkal

  • Unsupervised Visual Hashing with Semantic Assistant for Content-Based Image Retrieval

    Lei Zhu;Jialie Shen;Liang Xie;Zhiyong Cheng

  • A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction

    Zhiyong Cheng;Ying Ding;Xiangnan He;Lei Zhu

  • On Effective Location-Aware Music Recommendation

    Zhiyong Cheng;Jialie Shen

  • Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews

    Zhiyong Cheng;Ying Ding;Lei Zhu;Mohan Kankanhalli

  • Symmetry Hierarchy of Man‐Made Objects

    Yanzhen Wang;Yanzhen Wang;Kai Xu;Kai Xu;Jun Li;Hao Zhang

  • Deep Collaborative Multi-View Hashing for Large-Scale Image Search

    Lei Zhu;Xu Lu;Zhiyong Cheng;Jingjing Li

  • Just-for-Me: An Adaptive Personalization System for Location-Aware Social Music Recommendation

    Zhiyong Cheng;Jialie Shen

  • Online Multi-modal Hashing with Dynamic Query-adaption

    Xu Lu;Lei Zhu;Zhiyong Cheng;Liqiang Nie

  • Just-for-me: an adaptive personalization system for location-aware social music recommendation

    Zhiyong Cheng;Jialie Shen;Tao Mei

  • DeepDance: Music-to-Dance Motion Choreography With Adversarial Learning

    Guofei Sun;Yongkang Wong;Zhiyong Cheng;Mohan S. Kankanhalli

  • Flexible Online Multi-modal Hashing for Large-scale Multimedia Retrieval

    Xu Lu;Lei Zhu;Zhiyong Cheng;Jingjing Li

  • Attentive Long Short-Term Preference Modeling for Personalized Product Search

    Yangyang Guo;Zhiyong Cheng;Liqiang Nie;Yinglong Wang

  • Attentive Aspect Modeling for Review-Aware Recommendation

    Xinyu Guan;Zhiyong Cheng;Xiangnan He;Yongfeng Zhang

  • Unsupervised Topic Hypergraph Hashing for Efficient Mobile Image Retrieval

    Lei Zhu;Jialie Shen;Liang Xie;Zhiyong Cheng

  • Disentangled Multimodal Representation Learning for Recommendation

    Unknown

  • MMALFM: Explainable Recommendation by Leveraging Reviews and Images

    Zhiyong Cheng;Xiaojun Chang;Lei Zhu;Rose C. Kanjirathinkal

  • Unsupervised Online Video Object Segmentation With Motion Property Understanding

    Tao Zhuo;Zhiyong Cheng;Peng Zhang;Yongkang Wong

  • User Diverse Preference Modeling by Multimodal Attentive Metric Learning.

    Fan Liu;Zhiyong Cheng;Changchang Sun;Yinglong Wang

  • Personalized Hashtag Recommendation for Micro-videos

    Yinwei Wei;Zhiyong Cheng;Xuzheng Yu;Zhou Zhao

  • Exploiting music play sequence for music recommendation

    Zhiyong Cheng;Jialie Shen;Lei Zhu;Mohan S. Kankanhalli

  • Training Binary Multilayer Neural Networks for Image Classification using Expectation Backpropagation

    Zhiyong Cheng;Daniel Soudry;Zexi Mao;Zhen-zhong Lan

  • User Diverse Preference Modeling by Multimodal Attentive Metric Learning

    Fan Liu;Zhiyong Cheng;Changchang Sun;Yinglong Wang

Frequent Co-Authors

Lei Zhu
Lei Zhu Tongji University
Liqiang Nie
Liqiang Nie Shandong University
Mohan S. Kankanhalli
Mohan S. Kankanhalli National University of Singapore
Jialie Shen
Jialie Shen City, University of London
Jingjing Li
Jingjing Li Chinese University of Hong Kong
Huaxiang Zhang
Huaxiang Zhang Shandong Normal University
Shengyong Chen
Shengyong Chen Tianjin University of Technology
Meng Wang
Meng Wang Hefei University of Technology
Steven C. H. Hoi
Steven C. H. Hoi Alibaba Group (China)
Haiyan Miao
Haiyan Miao Institute of High Performance Computing

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