World's Best Scientists 2026 revealed!
Award Badge
Rising Stars
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Rising Stars 48 358 358 119 119 153 10888
Computer Science 49 5945 5776 788 783 260 8511

Fuli Feng publications per year

The chart shows the history of publications by Fuli Feng between 1995 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Fuli Feng published across 31 years, from 1995 to 2025, averaging 11.2 papers a year. Output peaked at 82 publications in 2025. 157 of the 347 publications appeared in the last two years.

No. of publications
20 40 60 80
Bar chart. Horizontal axis: year, 1995 to 2025. Vertical axis: number of publications, 0 to 82. Peak 82 publications in 2025. 1995: 1 publication 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 0 publications 2005: 0 publications 2006: 0 publications 2007: 0 publications 2008: 0 publications 2009: 0 publications 2010: 0 publications 2011: 0 publications 2012: 0 publications 2013: 0 publications 2014: 0 publications 2015: 0 publications 2016: 1 publication 2017: 4 publications 2018: 17 publications 2019: 8 publications 2020: 22 publications 2021: 31 publications 2022: 41 publications 2023: 65 publications 2024: 75 publications 2025: 82 publications
1995 2025

347 publications in total across all disciplines

View publications per year as a table
Fuli Feng: publications per year, 1995 to 2025
Year Publications
1995 1
1996 0
1997 0
1998 0
1999 0
2000 0
2001 0
2002 0
2003 0
2004 0
2005 0
2006 0
2007 0
2008 0
2009 0
2010 0
2011 0
2012 0
2013 0
2014 0
2015 0
2016 1
2017 4
2018 17
2019 8
2020 22
2021 31
2022 41
2023 65
2024 75
2025 82
Total 347
Download as CSV

Fuli Feng 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 Fuli Feng 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, 252–261 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: 260 publications — 65th percentile

65% 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
252–261 377 260
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
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

Fuli Feng 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 Fuli Feng 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, 48–49 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: 49 D-Index — 60th percentile

60% 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 49
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
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

  • 2025 - Research.com Rising Stars Award

Overview

Fuli Feng is affiliated with the University of Science and Technology of China. Their research primarily focuses on computer science with significant contributions in artificial intelligence, information systems, and computer vision and pattern recognition. Additional subfields include management science and operations research as well as molecular biology.

The scientist's work spans several key topics, notably recommender systems and techniques, topic modeling, advanced graph neural networks, and natural language processing techniques. Other research areas include advanced bandit algorithms research, machine learning in healthcare, and multimodal machine learning applications.

Fuli Feng has published extensively, with recent papers including:

  • Bias and Debias in Recommender System: A Survey and Future Directions, 2022, ACM Transactions on Information Systems
  • Bias and Debias in Recommender System: A Survey and Future Directions, 2020, arXiv (Cornell University)
  • Causal Representation Learning for Out-of-Distribution Recommendation, 2022, Proceedings of the ACM Web Conference 2022
  • Causal Inference in Recommender Systems: A Survey and Future Directions, 2024, ACM Transactions on Information Systems
  • Information Retrieval meets Large Language Models: A strategic report from Chinese IR community, 2023, AI Open

The scientist frequently collaborates with a network of coauthors including Xiangnan He, Tat-Seng Chua, Wenjie Wang, Yang Zhang, and Jizhi Zhang. These collaborations have led to numerous publications and contributions across various related venues.

Fuli Feng's work appears regularly in key academic venues with multiple publications in:

  • arXiv (Cornell University)
  • ACM Transactions on Information Systems
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the ACM Web Conference 2022

Best Publications

  • Neural Graph Collaborative Filtering

    Xiang Wang;Xiangnan He;Meng Wang;Fuli Feng

  • Self-supervised Graph Learning for Recommendation

    Jiancan Wu;Xiang Wang;Fuli Feng;Xiangnan He

  • Temporal Relational Ranking for Stock Prediction

    Fuli Feng;Xiangnan He;Xiang Wang;Cheng Luo

  • Bias and Debias in Recommender System: A Survey and Future Directions

    Jiawei Chen;Hande Dong;Xiang Wang;Fuli Feng

  • Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System

    Tianxin Wei;Fuli Feng;Jiawei Chen;Ziwei Wu

  • Causal Intervention for Leveraging Popularity Bias in Recommendation

    Yang Zhang;Fuli Feng;Xiangnan He;Tianxin Wei

  • Depression detection via harvesting social media: a multimodal dictionary learning solution

    Guangyao Shen;Jiang Jia;Liqiang Nie;Fuli Feng

  • TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

    Unknown

  • Enhancing Stock Movement Prediction with Adversarial Training

    Fuli Feng;Huimin Chen;Xiangnan He;Ji Ding

  • Denoising Implicit Feedback for Recommendation

    Wenjie Wang;Fuli Feng;Xiangnan He;Liqiang Nie

  • TEM: Tree-enhanced Embedding Model for Explainable Recommendation

    Xiang Wang;Xiangnan He;Fuli Feng;Liqiang Nie

  • Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure

    Fuli Feng;Xiangnan He;Jie Tang;Tat-Seng Chua

  • Diffusion Recommender Model

    Unknown

  • NeuroStylist: Neural Compatibility Modeling for Clothing Matching

    Xuemeng Song;Fuli Feng;Jinhuan Liu;Zekun Li

  • Deconfounded Video Moment Retrieval with Causal Intervention

    Xun Yang;Fuli Feng;Wei Ji;Meng Wang

  • Neural Multi-task Recommendation from Multi-behavior Data

    Chen Gao;Xiangnan He;Dahua Gan;Xiangning Chen

  • Neural Compatibility Modeling with Attentive Knowledge Distillation

    Xuemeng Song;Fuli Feng;Xianjing Han;Xin Yang

  • Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation

    Unknown

  • TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

    Fengbin Zhu;Wenqiang Lei;Youcheng Huang;Chao Wang

  • Deconfounded Recommendation for Alleviating Bias Amplification

    Wenjie Wang;Fuli Feng;Xiangnan He;Xiang Wang

  • Deep Understanding of Cooking Procedure for Cross-modal Recipe Retrieval

    Jing-Jing Chen;Chong-Wah Ngo;Fu-Li Feng;Tat-Seng Chua

  • Hierarchical Attention Network for Visually-Aware Food Recommendation

    Xiaoyan Gao;Fuli Feng;Xiangnan He;Heyan Huang

  • Bilinear Graph Neural Network with Neighbor Interactions

    Hongmin Zhu;Fuli Feng;Xiangnan He;Xiang Wang

  • Explicit Interaction Model towards Text Classification

    Cunxiao Du;Zhaozheng Chen;Fuli Feng;Lei Zhu

  • Cross-domain Recommendation Without Sharing User-relevant Data

    Chen Gao;Xiangning Chen;Fuli Feng;Kai Zhao

  • Data-efficient Fine-tuning for LLM-based Recommendation

    Unknown

  • How to Retrain Recommender System?: A Sequential Meta-Learning Method

    Yang Zhang;Fuli Feng;Chenxu Wang;Xiangnan He

  • Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue

    Wenjie Wang;Fuli Feng;Xiangnan He;Hanwang Zhang

Frequent Co-Authors

Xiangnan He
Xiangnan He University of Science and Technology of China
Tat-Seng Chua
Tat-Seng Chua National University of Singapore
Liqiang Nie
Liqiang Nie Shandong University
Yongdong Zhang
Yongdong Zhang University of Science and Technology of China
Yong Li
Yong Li Tsinghua University
Hanwang Zhang
Hanwang Zhang Nanyang Technological University
Meng Wang
Meng Wang Hefei University of Technology
Maosong Sun
Maosong Sun Tsinghua University
Jie Tang
Jie Tang Tsinghua University
Depeng Jin
Depeng Jin Tsinghua University

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

Exploring computer science in the USA opens up diverse online education and career options. Students can enhance their credentials with a range of flexible programs designed to suit various goals and timelines.

For those aiming to fast-track their qualifications, 1 year masters programs offer an efficient route to an advanced degree, helping you enter the workforce quicker. Similarly, if budget is a major concern, consider a cheap mba online, which provides business expertise without the hefty price tag.

Specialized tech fields are also within reach. If artificial intelligence excites you, discover an online ai degree—ideal for students drawn to machine learning, data science, and future-facing roles.

Looking for quick returns? Some students seek easiest online degrees that pay well, which balance rapid completion and strong earning potential across various industries.

These pathways allow you to tailor your education to your career goals, lifestyle, and budget, making a tech-focused future more accessible than ever.

Best Scientists Citing Fuli Feng

Trending Scientists

Recently Published Articles