World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
7402
World Ranking
13374
National Ranking
1637

Fei Sun 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 Fei Sun 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: 78 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Fei Sun 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 Fei Sun 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Fei Sun is affiliated with the Institute Of Computing Technology in China, with a research focus spanning multiple disciplines within engineering and materials science. Their scholarly output demonstrates significant contributions to the fields of Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering, Aerospace Engineering, Artificial Intelligence, and Biomedical Engineering.

The scientist's main areas of study have concentrated on topics including Metamaterials and Metasurfaces Applications, Advanced Antenna and Metasurface Technologies, Plasmonic and Surface Plasmon Research, Photonic Crystals and Applications, Antenna Design and Analysis, Thermal Radiation and Cooling Technologies, and Photonic and Optical Devices.

Fei Sun has published frequently in several academic venues. These include:

  • arXiv (Cornell University)
  • Optics Express
  • Optics & Laser Technology
  • SSRN Electronic Journal
  • Applied Optics

Recent publications illustrate a breadth of research interests and collaboration. Select papers include:

  • "Graph Neural Networks in Recommender Systems: A Survey," 2020, arXiv (Cornell University)
  • "184QPS/W 64Mb/mm23D Logic-to-DRAM Hybrid Bonding with Process-Near-Memory Engine for Recommendation System," 2022, 2022 IEEE International Solid-State Circuits Conference (ISSCC)
  • "Nitrogen-vacancy-regulated Mo2N quantum dots electrocatalyst enables fast polysulfides redox for high-energy-density lithium-sulfur batteries," 2022, Nano Energy
  • "Simultaneously realizing thermal and electromagnetic cloaking by multi-physical null medium," 2024, Opto-Electronic Science
  • "Insight into the cation migration and surface structural evolution of spinel LiNi0.5Mn1.5O4 cathode material for lithium-ion batteries," 2022, Chemical Engineering Journal

Frequent coauthors of Fei Sun reflect ongoing collaborations with various researchers in related fields. Regular collaborators include Yichao Liu, Zhihui Chen, Yibiao Yang, Hanchuan Chen, and Guang Feng.

Best Publications

  • BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

    Fei Sun;Jun Liu;Jian Wu;Changhua Pei

  • Graph Neural Networks in Recommender Systems: A Survey

    Shiwen Wu;Wentao Zhang;Fei Sun;Bin Cui

  • Contrastive Learning for Sequential Recommendation

    Xu Xie;Fei Sun;Zhaoyang Liu;Shiwen Wu

  • Deep Session Interest Network for Click-Through Rate Prediction.

    Yufei Feng;Fuyu Lv;Weichen Shen;Menghan Wang;Menghan Wang

  • CLEAR: Contrastive Learning for Sentence Representation.

    Zhuofeng Wu;Sinong Wang;Jiatao Gu;Madian Khabsa

  • Understanding Echo Chambers in E-commerce Recommender Systems

    Yingqiang Ge;Shuya Zhao;Honglu Zhou;Changhua Pei

  • POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion

    Wen Chen;Pipei Huang;Jiaming Xu;Xin Guo

  • Personalized re-ranking for recommendation

    Changhua Pei;Yi Zhang;Yongfeng Zhang;Fei Sun

  • Towards Long-term Fairness in Recommendation

    Yingqiang Ge;Shuchang Liu;Ruoyuan Gao;Yikun Xian

  • DOM based content extraction via text density

    Fei Sun;Dandan Song;Lejian Liao

  • SDM: Sequential Deep Matching Model for Online Large-scale Recommender System

    Fuyu Lv;Taiwei Jin;Changlong Yu;Fei Sun

  • A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation

    Xiao Lin;Hongjie Chen;Changhua Pei;Fei Sun

  • Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning

    Yang Deng;Yaliang Li;Fei Sun;Bolin Ding

  • Improving Multi-turn Dialogue Modelling with Utterance ReWriter

    Hui Su;Xiaoyu Shen;Rongzhi Zhang;Fei Sun

  • Component-Enhanced Chinese Character Embeddings

    Yanran Li;Wenjie Li;Fei Sun;Sujian Li

  • Semantic Models for the First-stage Retrieval: A Comprehensive Review.

    Yinqiong Cai;Yixing Fan;Jiafeng Guo;Fei Sun

  • Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations

    Fei Sun;Jiafeng Guo;Yanyan Lan;Jun Xu

  • Improving End-to-End Sequential Recommendations with Intent-aware Diversification

    Wanyu Chen;Pengjie Ren;Fei Cai;Fei Sun

  • Privileged Features Distillation at Taobao Recommendations

    Chen Xu;Quan Li;Junfeng Ge;Jinyang Gao

  • Exact-K Recommendation via Maximal Clique Optimization

    Yu Gong;Yu Zhu;Lu Duan;Qingwen Liu

  • Sparse word embeddings using l 1 regularized online learning

    Fei Sun;Jiafeng Guo;Yanyan Lan;Jun Xu

  • Personalized Re-ranking for Recommendation

    Changhua Pei;Yi Zhang;Yongfeng Zhang;Fei Sun

Frequent Co-Authors

Yongfeng Zhang
Yongfeng Zhang Rutgers, The State University of New Jersey
Jiafeng Guo
Jiafeng Guo Chinese Academy of Sciences
Bin Cui
Bin Cui Peking University
Xueqi Cheng
Xueqi Cheng Chinese Academy of Sciences
Yanyan Lan
Yanyan Lan Chinese Academy of Sciences
Yaliang Li
Yaliang Li Alibaba Group (China)
Jun Xu
Jun Xu Renmin University of China
Maarten de Rijke
Maarten de Rijke University of Amsterdam
Wilfred Ng
Wilfred Ng Hong Kong University of Science and Technology
Pengjie Ren
Pengjie Ren Shandong University

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