World's Best Scientists 2026 revealed!
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Yanjie Fu
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Rising Stars
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Rising Stars 39 693 693 106 106 180 5758
Computer Science 41 8908 8657 3791 3641 250 6457

Yanjie Fu publications per year

The chart shows the history of publications by Yanjie Fu between 2013 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yanjie Fu published across 13 years, from 2013 to 2025, averaging 23.4 papers a year. Output peaked at 46 publications in 2025. 76 of the 304 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2013 to 2025. Vertical axis: number of publications, 0 to 46. Peak 46 publications in 2025. 2013: 1 publication 2014: 7 publications 2015: 6 publications 2016: 13 publications 2017: 18 publications 2018: 16 publications 2019: 15 publications 2020: 29 publications 2021: 34 publications 2022: 44 publications 2023: 45 publications 2024: 30 publications 2025: 46 publications
2013 2025

304 publications in total across all disciplines

View publications per year as a table
Yanjie Fu: publications per year, 2013 to 2025
Year Publications
2013 1
2014 7
2015 6
2016 13
2017 18
2018 16
2019 15
2020 29
2021 34
2022 44
2023 45
2024 30
2025 46
Total 304
Download as CSV

Yanjie Fu 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 Yanjie Fu 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, 242–251 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: 250 publications — 62nd percentile

62% 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
242–251 408 250
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
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

Yanjie Fu 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 Yanjie Fu 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, 40–41 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: 41 D-Index — 40th percentile

40% 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 41
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
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

Yanjie Fu is a researcher affiliated with Arizona State University in the United States. Their work predominantly falls under the broader field of Computer Science, with a focus on several specialized subfields including Artificial Intelligence, Transportation, Information Systems, Signal Processing, and Computer Vision and Pattern Recognition.

The researcher has contributed extensively to various topics such as:

  • Human Mobility and Location-Based Analysis
  • Machine Learning and Data Classification
  • Advanced Graph Neural Networks
  • Recommender Systems and Techniques
  • Topic Modeling
  • Traffic Prediction and Management Techniques
  • Domain Adaptation and Few-Shot Learning

Yanjie Fu's publication record is significant, with a strong presence in well-known venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • ACM Transactions on Intelligent Systems and Technology
  • ACM Transactions on Knowledge Discovery from Data

Several notable papers authored or co-authored by Yanjie Fu are:

  • Coupled Layer-wise Graph Convolution for Transportation Demand Prediction, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting, 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning, 2022, Proceedings of the ACM Web Conference 2022
  • Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting, 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • Automated Feature Selection: A Reinforcement Learning Perspective, 2021, IEEE Transactions on Knowledge and Data Engineering

Their frequent collaborators include:

  • Dongjie Wang
  • Kunpeng Liu
  • Pengyang Wang
  • Hui Xiong
  • Yuanchun Zhou

Best Publications

  • A Neural Influence Diffusion Model for Social Recommendation

    Le Wu;Peijie Sun;Yanjie Fu;Richang Hong

  • Learning geographical preferences for point-of-interest recommendation

    Bin Liu;Yanjie Fu;Zijun Yao;Hui Xiong

  • Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting

    Liangzhe Han;Bowen Du;Leilei Sun;Yanjie Fu

  • A General Geographical Probabilistic Factor Model for Point of Interest Recommendation

    Bin Liu;Hui Xiong;Spiros Papadimitriou;Yanjie Fu

  • Coupled Layer-wise Graph Convolution for Transportation Demand Prediction.

    Junchen Ye;Leilei Sun;Bowen Du;Yanjie Fu

  • Service Usage Classification with Encrypted Internet Traffic in Mobile Messaging Apps

    Yanjie Fu;Hui Xiong;Xinjiang Lu;Jin Yang

  • Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning

    Unknown

  • Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network

    Junchen Ye;Leilei Sun;Bowen Du;Yanjie Fu

  • Station Site Optimization in Bike Sharing Systems

    Junming Liu;Qiao Li;Meng Qu;Weiwei Chen

  • Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach

    Le Wu;Yonghui Yang;Kun Zhang;Richang Hong

  • SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation.

    Le Wu;Peijie Sun;Richang Hong;Yanjie Fu

  • Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors

    Yanjie Fu;Yong Ge;Yu Zheng;Zijun Yao

  • Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering

    Yanjie Fu;Hui Xiong;Yong Ge;Zijun Yao

  • POI Recommendation: A Temporal Matching between POI Popularity and User Regularity

    Zijun Yao;Yanjie Fu;Bin Liu;Yanchi Liu

  • Representing urban functions through zone embedding with human mobility patterns

    Zijun Yao;Yanjie Fu;Bin Liu;Wangsu Hu

  • Fake News Detection with Deep Diffusive Network Model.

    Jiawei Zhang;Limeng Cui;Yanjie Fu;Fisher B. Gouza

  • Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes

    Pengfei Wang;Yanjie Fu;Guannan Liu;Wenqing Hu

  • Intelligent bus routing with heterogeneous human mobility patterns

    Yanchi Liu;Chuanren Liu;Nicholas Jing Yuan;Lian Duan

  • Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation

    Peijie Sun;Le Wu;Kun Zhang;Yanjie Fu

  • A Hierarchical Attention Model for Social Contextual Image Recommendation

    Le Wu;Lei Chen;Richang Hong;Yanjie Fu

  • Joint Representation Learning for Multi-Modal Transportation Recommendation

    Hao Liu;Ting Li;Renjun Hu;Yanjie Fu

Frequent Co-Authors

Hui Xiong
Hui Xiong Rutgers, The State University of New Jersey
Yong Ge
Yong Ge University of Arizona
Charu C. Aggarwal
Charu C. Aggarwal IBM (United States)
Richang Hong
Richang Hong Hefei University of Technology
Wei Fan
Wei Fan Tencent (China)
Yu Zheng
Yu Zheng Jingdong (China)
Enhong Chen
Enhong Chen University of Science and Technology of China
Chang-Tien Lu
Chang-Tien Lu Virginia Tech
Dan Lin
Dan Lin University of Missouri
Sajal K. Das
Sajal K. Das Missouri University of Science and Technology

External Links

Personal website of Yanjie Fu

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Best Scientists Citing Yanjie Fu

Hui Xiong

Hui Xiong

Rutgers, The State University of New Jersey

Publications: 52

Hongzhi Yin

Hongzhi Yin

University of Queensland

Publications: 33

Enhong Chen

Enhong Chen

University of Science and Technology of China

Publications: 27

Richang Hong

Richang Hong

Hefei University of Technology

Publications: 20

Xiaofang Zhou

Xiaofang Zhou

Hong Kong University of Science and Technology

Publications: 19

Yong Li

Yong Li

Tsinghua University

Publications: 19

Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

Publications: 18

Xiangnan He

Xiangnan He

University of Science and Technology of China

Publications: 17

Yong Ge

Yong Ge

University of Arizona

Publications: 17

Qi Liu

Qi Liu

University of Science and Technology of China

Publications: 16

Xing Xie

Xing Xie

Microsoft Research Asia (China)

Publications: 15

Chi-Yin Chow

Chi-Yin Chow

City University of Hong Kong

Publications: 15

Defu Lian

Defu Lian

University of Science and Technology of China

Publications: 15

Gao Cong

Gao Cong

Nanyang Technological University

Publications: 13

Bin Guo

Bin Guo

Northwestern Polytechnical University

Publications: 12

Zhiwen Yu

Zhiwen Yu

Northwestern Polytechnical University

Publications: 11

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