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Philip S. Yu
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Best Scientists
2026
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Computer Science
USA
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 194 7 7 4 4 1999 184846
Best Scientists 195 346 316 226 203 2116 177329

Philip S. Yu publications per year

The chart shows the history of publications by Philip S. Yu between 1980 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Philip S. Yu published across 46 years, from 1980 to 2025, averaging 51.9 papers a year. Output peaked at 151 publications in 2021. 152 of the 2,388 publications appeared in the last two years.

No. of publications
50 100 150
Bar chart. Horizontal axis: year, 1980 to 2025. Vertical axis: number of publications, 0 to 151. Peak 151 publications in 2021. 1980: 1 publication 1981: 1 publication 1982: 1 publication 1983: 1 publication 1984: 0 publications 1985: 4 publications 1986: 10 publications 1987: 9 publications 1988: 11 publications 1989: 12 publications 1990: 16 publications 1991: 15 publications 1992: 25 publications 1993: 24 publications 1994: 27 publications 1995: 34 publications 1996: 29 publications 1997: 28 publications 1998: 35 publications 1999: 44 publications 2000: 55 publications 2001: 74 publications 2002: 41 publications 2003: 48 publications 2004: 54 publications 2005: 63 publications 2006: 61 publications 2007: 76 publications 2008: 82 publications 2009: 45 publications 2010: 79 publications 2011: 49 publications 2012: 60 publications 2013: 69 publications 2014: 73 publications 2015: 83 publications 2016: 85 publications 2017: 112 publications 2018: 104 publications 2019: 126 publications 2020: 117 publications 2021: 151 publications 2022: 99 publications 2023: 103 publications 2024: 92 publications 2025: 60 publications
1980 2025

2,388 publications in total across all disciplines

View publications per year as a table
Philip S. Yu: publications per year, 1980 to 2025
Year Publications
1980 1
1981 1
1982 1
1983 1
1984 0
1985 4
1986 10
1987 9
1988 11
1989 12
1990 16
1991 15
1992 25
1993 24
1994 27
1995 34
1996 29
1997 28
1998 35
1999 44
2000 55
2001 74
2002 41
2003 48
2004 54
2005 63
2006 61
2007 76
2008 82
2009 45
2010 79
2011 49
2012 60
2013 69
2014 73
2015 83
2016 85
2017 112
2018 104
2019 126
2020 117
2021 151
2022 99
2023 103
2024 92
2025 60
Total 2,388
Download as CSV

Philip S. Yu publications per year - data summary

  • Philip S. Yu, a Computer Science scholar from University of Illinois at Chicago, has 2,388 publications recorded across 46 years, from 1980 to 2025.
  • The oldest publication on record dates to 1980 and the most recent to 2025.
  • The most productive year is 2021, with 151 publications.
  • The least productive years with any output are 1980, 1981, 1982 and 1983, with 1 publication each.
  • 1 of the 46 years in the span carries no publications at all (1984).
  • The rate of publication averages 51.9 papers per year over the whole span, or 53.1 per year counting only the 45 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 505 publications, 21% of the career total.
  • Split into equal eras - 1980-1995: 191 publications (11.9 per year); 1996-2011: 863 publications (53.9 per year); 2012-2025: 1,334 publications (95.3 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Philip S. Yu 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 Philip S. Yu 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, 991+ 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: 1,999 publications — 100th percentile

100% 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
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 1,999
Download as CSV

Philip S. Yu publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Philip S. Yu, a Computer Science scholar from University of Illinois at Chicago, records 1,999 publications - the 100th percentile of the discipline.
  • 100% of ranked Computer Science scientists score the same or lower than Philip S. Yu, and about 0% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Philip S. Yu ranks above the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

Philip S. Yu 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 Philip S. Yu 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, 131+ 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: 194 D-Index — 100th percentile

100% 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
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+ 98 194
Download as CSV

Philip S. Yu D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Philip S. Yu, a Computer Science scholar from University of Illinois at Chicago, records 194 D-Index - the 100th percentile of the discipline.
  • 100% of ranked Computer Science scientists score the same or lower than Philip S. Yu, and about 0% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Philip S. Yu ranks above the median.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

Research.com Recognitions

  • 2026 - Research.com Best Scientists Award
  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Best Scientists Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 1997 - ACM Fellow For contributions to the theory and practice of analytical performance modeling of database sytems.
  • 1993 - IEEE Fellow For contributions to the theory and practice of analytical performance modeling of database systems.

Overview

Philip S. Yu is affiliated with the University of Illinois at Chicago in the United States. Their research primarily spans the field of computer science, with a significant focus on artificial intelligence, information systems, computer vision and pattern recognition, statistical and nonlinear physics, and signal processing.

The scientist's recent publications include works across leading journals and conferences. Notable papers are:

  • "A Survey on Knowledge Graphs: Representation, Acquisition, and Applications" (2021) published in IEEE Transactions on Neural Networks and Learning Systems
  • "A Survey on Evaluation of Large Language Models" (2024) published in ACM Transactions on Intelligent Systems and Technology
  • "Generalizing to Unseen Domains: A Survey on Domain Generalization" (2022) published in IEEE Transactions on Knowledge and Data Engineering
  • "Deep Learning for Spatio-Temporal Data Mining: A Survey" (2020) published in IEEE Transactions on Knowledge and Data Engineering
  • "PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning" (2022) published in IEEE Transactions on Pattern Analysis and Machine Intelligence

Philip S. Yu has contributed to various main research topics, which include:

  • Advanced Graph Neural Networks
  • Topic Modeling
  • Recommender Systems and Techniques
  • Complex Network Analysis Techniques
  • Natural Language Processing Techniques
  • Data Mining Algorithms and Applications
  • Privacy-Preserving Technologies in Data

Frequent co-authors collaborating with Philip S. Yu encompass:

  • Hao Peng
  • Wensheng Gan
  • Lifang He
  • Jia Wu
  • Senzhang Wang

Publication venues where Philip S. Yu's works have frequently appeared include:

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

Among their book publications are works released by Springer Science+Business Media and Springer International Publishing, including titles like "Data Science" (2020) and "Heterogeneous Graph Representation Learning and Applications" (2022).

Philip S. Yu has received recognition as an ACM Fellow in 1997 for contributions to the theory and practice of analytical performance modeling of database systems. They were also named IEEE Fellow in 1993 for related contributions.

Best Publications

  • A Comprehensive Survey on Graph Neural Networks

    Zonghan Wu;Shirui Pan;Fengwen Chen;Guodong Long

  • Top 10 algorithms in data mining

    Xindong Wu;Vipin Kumar;J. Ross Quinlan;Joydeep Ghosh

  • Data mining: an overview from a database perspective

    Ming-Syan Chen;Jiawei Han;P.S. Yu

  • A framework for clustering evolving data streams

    Charu C. Aggarwal;Jiawei Han;Jianyong Wang;Philip S. Yu

  • An effective hash-based algorithm for mining association rules

    Jong Soo Park;Ming-Syan Chen;Philip S. Yu

  • Heterogeneous Graph Attention Network

    Xiao Wang;Houye Ji;Chuan Shi;Bai Wang

  • A Survey on Knowledge Graphs: Representation, Acquisition and Applications

    Shaoxiong Ji;Shirui Pan;Erik Cambria;Pekka Marttinen

  • Privacy-preserving data publishing: A survey of recent developments

    Benjamin C. M. Fung;Ke Wang;Rui Chen;Philip S. Yu

  • PathSim: meta path-based top-K similarity search in heterogeneous information networks

    Yizhou Sun;Jiawei Han;Xifeng Yan;Philip S. Yu

  • Transfer Feature Learning with Joint Distribution Adaptation

    Mingsheng Long;Jianmin Wang;Guiguang Ding;Jiaguang Sun

  • Mining concept-drifting data streams using ensemble classifiers

    Haixun Wang;Wei Fan;Philip S. Yu;Jiawei Han

  • A holistic lexicon-based approach to opinion mining

    Xiaowen Ding;Bing Liu;Philip S. Yu

  • Outlier detection for high dimensional data

    Charu C. Aggarwal;Philip S. Yu

  • Fast algorithms for projected clustering

    Charu C. Aggarwal;Joel L. Wolf;Philip S. Yu;Cecilia Procopiuc

  • A new method to measure the semantic similarity of GO terms

    James Z. Wang;Zhidian Du;Rapeeporn Payattakool;Philip S. Yu

  • A General Survey of Privacy-Preserving Data Mining Models and Algorithms

    Charu C. Aggarwal;Philip S. Yu

  • A Survey of Heterogeneous Information Network Analysis

    Chuan Shi;Yitong Li;Jiawei Zhang;Yizhou Sun

  • Heterogeneous Information Network Embedding for Recommendation

    Chuan Shi;Binbin Hu;Wayne Xin Zhao;Philip S. Yu

  • Dynamic load balancing on Web-server systems

    V. Cardellini;M. Colajanni;P.S. Yu

  • Joint Deep Modeling of Users and Items Using Reviews for Recommendation

    Lei Zheng;Vahid Noroozi;Philip S. Yu

  • Heterogeneous Graph Attention Network.

    Xiao Wang;Houye Ji;Chuan Shi;Bai Wang

Frequent Co-Authors

Charu C. Aggarwal
Charu C. Aggarwal IBM (United States)
Ming-Syan Chen
Ming-Syan Chen National Taiwan University
Kun-Lung Wu
Kun-Lung Wu IBM (United States)
Joel L. Wolf
Joel L. Wolf IBM (United States)
Wei Fan
Wei Fan Tencent (China)
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Haixun Wang
Haixun Wang Instacart
Lifang He
Lifang He Lehigh University
Xiangnan Kong
Xiangnan Kong Worcester Polytechnic Institute
Chuan Shi
Chuan Shi Beijing University of Posts and Telecommunications

External Links

Personal website of Philip S. Yu Google Scholar page

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Publications: 138

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