World's Best Scientists 2026 revealed!
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Lichan Hong

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 48 6038 5865 2720 2622 125 15023

Lichan Hong publications per year

The chart shows the history of publications by Lichan Hong between 1994 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Lichan Hong published across 32 years, from 1994 to 2025, averaging 5 papers a year. Output peaked at 15 publications in 2023. 21 of the 159 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1994 to 2025. Vertical axis: number of publications, 0 to 15. Peak 15 publications in 2023. 1994: 2 publications 1995: 4 publications 1996: 3 publications 1997: 5 publications 1998: 3 publications 1999: 6 publications 2000: 3 publications 2001: 1 publication 2002: 1 publication 2003: 1 publication 2004: 7 publications 2005: 5 publications 2006: 7 publications 2007: 6 publications 2008: 4 publications 2009: 10 publications 2010: 8 publications 2011: 5 publications 2012: 2 publications 2013: 0 publications 2014: 1 publication 2015: 3 publications 2016: 3 publications 2017: 1 publication 2018: 3 publications 2019: 4 publications 2020: 13 publications 2021: 7 publications 2022: 5 publications 2023: 15 publications 2024: 13 publications 2025: 8 publications
1994 2025

159 publications in total across all disciplines

View publications per year as a table
Lichan Hong: publications per year, 1994 to 2025
Year Publications
1994 2
1995 4
1996 3
1997 5
1998 3
1999 6
2000 3
2001 1
2002 1
2003 1
2004 7
2005 5
2006 7
2007 6
2008 4
2009 10
2010 8
2011 5
2012 2
2013 0
2014 1
2015 3
2016 3
2017 1
2018 3
2019 4
2020 13
2021 7
2022 5
2023 15
2024 13
2025 8
Total 159
Download as CSV

Lichan Hong publications per year - data summary

  • Lichan Hong, a Computer Science scholar from Google (United States), has 159 publications recorded across 32 years, from 1994 to 2025.
  • The oldest publication on record dates to 1994 and the most recent to 2025.
  • The most productive year is 2023, with 15 publications.
  • The least productive years with any output are 2001, 2002, 2003, 2014 and others, with 1 publication each.
  • 1 of the 32 years in the span carries no publications at all (2013).
  • The rate of publication averages 5.0 papers per year over the whole span, or 5.1 per year counting only the 31 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 48 publications, 30% of the career total.
  • Split into equal eras - 1994-2004: 36 publications (3.3 per year); 2005-2015: 51 publications (4.6 per year); 2016-2025: 72 publications (7.2 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Lichan Hong 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 Lichan Hong 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, 122–131 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: 125 publications — 17th percentile

17% 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
122–131 544 125
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
Download as CSV

Lichan Hong 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.
  • Lichan Hong, a Computer Science scholar from Google (United States), records 125 publications - the 17th percentile of the discipline.
  • 17% of ranked Computer Science scientists score the same or lower than Lichan Hong, and about 83% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Lichan Hong ranks below 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).

Lichan Hong 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 Lichan Hong 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: 48 D-Index — 58th percentile

58% 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 48
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

Lichan Hong 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.
  • Lichan Hong, a Computer Science scholar from Google (United States), records 48 D-Index - the 58th percentile of the discipline.
  • 58% of ranked Computer Science scientists score the same or lower than Lichan Hong, and about 42% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Lichan Hong 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).

Overview

Lichan Hong is affiliated with Google in the United States and works primarily in the field of Computer Science. Their research encompasses key areas including Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Management Science and Operations Research, and General Health Professions. The predominant focus lies on Artificial Intelligence and Information Systems, constituting a significant portion of their scholarly output.

Their work addresses topics such as Recommender Systems and Techniques, Topic Modeling, Advanced Bandit Algorithms Research, Advanced Graph Neural Networks, Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, and Data Stream Mining Techniques.

They have published extensively in venues that include:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Companion Proceedings of the Web Conference 2020
  • Proceedings of the ACM Web Conference 2022

Recent notable papers include:

  • "Language Matters In Twitter: A Large Scale Study" (2021), published in Proceedings of the International AAAI Conference on Web and Social Media
  • "Is Twitter a Good Place for Asking Questions? A Characterization Study" (2021), published in Proceedings of the International AAAI Conference on Web and Social Media
  • "Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations" (2020), published in Companion Proceedings of the Web Conference 2020
  • "Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems" (2020), published in Companion Proceedings of the Web Conference 2020
  • "Distributionally-robust Recommendations for Improving Worst-case User Experience" (2022), published in Proceedings of the ACM Web Conference 2022

Frequent collaborators include:

  • Ed H.
  • Xinyang Yi
  • Derek Zhiyuan Cheng
  • Maheswaran Sathiamoorthy
  • Wang-Cheng Kang

Best Publications

  • Wide & Deep Learning for Recommender Systems

    Heng-Tze Cheng;Levent Koc;Jeremiah Harmsen;Tal Shaked

  • Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network

    Bongwon Suh;Lichan Hong;Peter Pirolli;Ed H. Chi

  • Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

    Jiaqi Ma;Zhe Zhao;Xinyang Yi;Jilin Chen

  • Tweets from Justin Bieber's heart: the dynamics of the location field in user profiles

    Brent Hecht;Lichan Hong;Bongwon Suh;Ed H. Chi

  • Virtual voyage: interactive navigation in the human colon

    Lichan Hong;Shigeru Muraki;Arie Kaufman;Dirk Bartz

  • DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems

    Ruoxi Wang;Rakesh Shivanna;Derek Z. Cheng;Sagar Jain

  • Generation of transfer functions with stochastic search techniques

    Taosong He;Lichan Hong;Arie Kaufman;Hanspeter Pfister

  • 3D virtual colonoscopy

    Lichan Hong;A. Kaufman;Yi-Chih Wei;A. Viswambharan

  • Fairness in Recommendation Ranking through Pairwise Comparisons

    Alex Beutel;Jilin Chen;Tulsee Doshi;Hai Qian

  • Method and system for providing search based on topic

    Stuart K Card;Lichan Hong;Peter L Pirolli;Mark J Stefik

  • DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems

    Ruoxi Wang;Rakesh Shivanna;Derek Cheng;Sagar Jain

  • Recommending what video to watch next: a multitask ranking system

    Zhe Zhao;Lichan Hong;Li Wei;Jilin Chen

  • Language Matters In Twitter: A Large Scale Study

    Lichan Hong;Gregorio Convertino;Ed H. Chi

  • Automatic centerline extraction for virtual colonoscopy

    Ming Wan;Zhengrong Liang;Qi Ke;Lichan Hong

  • Eddi: interactive topic-based browsing of social status streams

    Michael S. Bernstein;Bongwon Suh;Lichan Hong;Jilin Chen

  • Self-supervised Learning for Large-scale Item Recommendations

    Tiansheng Yao;Xinyang Yi;Derek Zhiyuan Cheng;Felix Yu

  • Voxel based object simplification

    Taosong He;Lichan Hong;A. Kaufman;A. Varshney

  • Sampling-bias-corrected neural modeling for large corpus item recommendations

    Xinyang Yi;Ji Yang;Lichan Hong;Derek Zhiyuan Cheng

  • Systems and methods for turning pages in a three-dimensional electronic document

    Lichan Hong;Stuart K. Card;Jindong Chen

  • Improving User Topic Interest Profiles by Behavior Factorization

    Zhe Zhao;Zhiyuan Cheng;Lichan Hong;Ed H. Chi

  • Verfahren zur automatischen konzeptuellen Hervorhebung in electronischen Text

    Ed H. Chi;Lichan Hong;Stuart K. Card

  • Controlled topology simplification

    Taosong He;Lichan Hong;A. Varshney;S.W. Wang

  • Is Twitter a Good Place for Asking Questions? A Characterization Study.

    Sharoda A. Paul;Lichan Hong;Ed H. Chi

Frequent Co-Authors

Ed H. Chi
Ed H. Chi Google (United States)
Arie E. Kaufman
Arie E. Kaufman Stony Brook University
Stuart K. Card
Stuart K. Card Stanford University
Zhengrong Liang
Zhengrong Liang Stony Brook University
Peter Pirolli
Peter Pirolli Florida Institute for Human and Machine Cognition
Mark J. Stefik
Mark J. Stefik Palo Alto Research Center
Jock D. Mackinlay
Jock D. Mackinlay Tableau Software (United States)
Greg Corrado
Greg Corrado Google (United States)
Michael S. Bernstein
Michael S. Bernstein Stanford University
Hanspeter Pfister
Hanspeter Pfister Harvard University

External Links

Personal website of Lichan Hong Google Scholar page

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Publications: 95

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Publications: 34

Xiangnan He

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Publications: 30

Ed H. Chi

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Publications: 30

Xiuqiang He

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Publications: 27

James Caverlee

James Caverlee

Texas A&M University

Publications: 21

Fangzhao Wu

Fangzhao Wu

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Publications: 20

Meredith Ringel Morris

Meredith Ringel Morris

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Publications: 20

Philip S. Yu

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Publications: 20

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