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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 84 849 819 465 446 1069 29472

Keqin Li publications per year

The chart shows the history of publications by Keqin Li between 1989 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Keqin Li published across 38 years, from 1989 to 2026, averaging 33.8 papers a year. Output peaked at 150 publications in 2024. 142 of the 1,285 publications appeared in the last two years.

No. of publications
50 100 150
Bar chart. Horizontal axis: year, 1989 to 2026. Vertical axis: number of publications, 0 to 150. Peak 150 publications in 2024. 1989: 1 publication 1990: 5 publications 1991: 2 publications 1992: 0 publications 1993: 0 publications 1994: 1 publication 1995: 1 publication 1996: 6 publications 1997: 17 publications 1998: 15 publications 1999: 16 publications 2000: 11 publications 2001: 8 publications 2002: 11 publications 2003: 9 publications 2004: 12 publications 2005: 7 publications 2006: 7 publications 2007: 8 publications 2008: 7 publications 2009: 9 publications 2010: 19 publications 2011: 13 publications 2012: 18 publications 2013: 20 publications 2014: 42 publications 2015: 52 publications 2016: 59 publications 2017: 83 publications 2018: 76 publications 2019: 91 publications 2020: 85 publications 2021: 82 publications 2022: 76 publications 2023: 124 publications 2024: 150 publications 2025: 141 publications 2026: 1 publication
1989 2026

1,285 publications in total across all disciplines

View publications per year as a table
Keqin Li: publications per year, 1989 to 2026
Year Publications
1989 1
1990 5
1991 2
1992 0
1993 0
1994 1
1995 1
1996 6
1997 17
1998 15
1999 16
2000 11
2001 8
2002 11
2003 9
2004 12
2005 7
2006 7
2007 8
2008 7
2009 9
2010 19
2011 13
2012 18
2013 20
2014 42
2015 52
2016 59
2017 83
2018 76
2019 91
2020 85
2021 82
2022 76
2023 124
2024 150
2025 141
2026 1
Total 1,285
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Keqin Li publications per year - data summary

  • Keqin Li, a Computer Science scholar from State University of New York at New Paltz, has 1,285 publications recorded across 38 years, from 1989 to 2026.
  • The oldest publication on record dates to 1989 and the most recent to 2026.
  • The most productive year is 2024, with 150 publications.
  • The least productive years with any output are 1989, 1994, 1995 and 2026, with 1 publication each.
  • 2 of the 38 years in the span carry no publications at all (1992 and 1993).
  • The rate of publication averages 33.8 papers per year over the whole span, or 35.7 per year counting only the 36 years with at least one publication.
  • The last 5 years on the chart (2022-2026) hold 492 publications, 38% of the career total.
  • Split into equal eras - 1989-2001: 83 publications (6.4 per year); 2002-2014: 182 publications (14.0 per year); 2015-2026: 1,020 publications (85.0 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Keqin Li 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 Keqin Li 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: 1,069 publications — 99th percentile

99% 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 1,069
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Keqin Li 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.
  • Keqin Li, a Computer Science scholar from State University of New York at New Paltz, records 1,069 publications - the 99th percentile of the discipline.
  • 99% of ranked Computer Science scientists score the same or lower than Keqin Li, and about 1% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Keqin Li 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).

Keqin Li 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 Keqin Li 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, 84–85 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: 84 D-Index — 94th percentile

94% 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 84
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
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Keqin Li 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.
  • Keqin Li, a Computer Science scholar from State University of New York at New Paltz, records 84 D-Index - the 94th percentile of the discipline.
  • 94% of ranked Computer Science scientists score the same or lower than Keqin Li, and about 6% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Keqin Li 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

  • 2015 - IEEE Fellow For contributions to parallel and distributed computing
  • 2007 - ACM Senior Member

Overview

Keqin Li is affiliated with the State University of New York at New Paltz in the United States and has an extensive publication record within the field of Computer Science, with a particular focus on Computer Networks and Communications, Artificial Intelligence, and Information Systems. Their research contributions span a variety of interconnected subfields including Computer Vision and Pattern Recognition and Electrical and Electronic Engineering.

Their work primarily addresses topics such as IoT and Edge/Fog Computing, Cloud Computing and Resource Management, Age of Information Optimization, Distributed and Parallel Computing Systems, Caching and Content Delivery, Parallel Computing and Optimization Techniques, and Blockchain Technology Applications and Security.

Keqin Li has been involved in publishing recent academic papers in several respected venues. Notable works include:

  • Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks, 2020, ACM Transactions on Knowledge Discovery from Data
  • Enhancing MOEA/D with information feedback models for large-scale many-objective optimization, 2020, Information Sciences
  • Distributed Task Migration Optimization in MEC by Extending Multi-Agent Deep Reinforcement Learning Approach, 2020, IEEE Transactions on Parallel and Distributed Systems
  • Min-Max Cost Optimization for Efficient Hierarchical Federated Learning in Wireless Edge Networks, 2021, IEEE Transactions on Parallel and Distributed Systems
  • A Stackelberg game approach to multiple resources allocation and pricing in mobile edge computing, 2020, Future Generation Computer Systems

Frequent collaborators in Li's research include Kenli Li, Tao Meng, Weiwei Lin, Yuntao Shou, and Wei Ai.

Keqin Li has published extensively in several frequent publication venues, including:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Services Computing
  • Future Generation Computer Systems
  • SSRN Electronic Journal

Among the professional recognitions, Keqin Li was named an IEEE Fellow in 2015 for contributions to parallel and distributed computing and became an ACM Senior Member in 2007.

Best Publications

  • A Comprehensive Survey of Network Function Virtualization

    Bo Yi;Xingwei Wang;Keqin Li;Sajal k. Das

  • A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment

    Jianguo Chen;Kenli Li;Zhuo Tang;Kashif Bilal

  • A genetic algorithm for task scheduling on heterogeneous computing systems using multiple priority queues

    Yuming Xu;Kenli Li;Jingtong Hu;Keqin Li;Keqin Li

  • A Survey of Intrusion Detection for In-Vehicle Networks

    Wufei Wu;Renfa Li;Guoqi Xie;Jiyao An

  • Sustainable Computing: Informatics and Systems

    Keqin Li

  • An Energy-Efficient Task Scheduling Algorithm in DVFS-enabled Cloud Environment

    Zhuo Tang;Ling Qi;Zhenzhen Cheng;Kenli Li

  • A hybrid deep learning CNNELM for age and gender classification

    Mingxing Duan;Kenli Li;Canqun Yang;Keqin Li

  • Optimal Multiserver Configuration for Profit Maximization in Cloud Computing

    Junwei Cao;Kai Hwang;Keqin Li;Albert Y. Zomaya

  • Multi-User Multi-Task Computation Offloading in Green Mobile Edge Cloud Computing

    Weiwei Chen;Dong Wang;Keqin Li

  • Energy-Efficient Stochastic Task Scheduling on Heterogeneous Computing Systems

    Kenli Li;Xiaoyong Tang;Keqin Li

  • SeDaSC: Secure Data Sharing in Clouds

    Mazhar Ali;Revathi Dhamotharan;Eraj Khan;Samee U. Khan

  • Optimal dynamic mobility management for PCS networks

    Jie Li;Hisao Kameda;Keqin Li

  • Minimizing SLA violation and power consumption in Cloud data centers using adaptive energy-aware algorithms

    Zhou Zhou;Zhou Zhou;Jemal Abawajy;Morshed Chowdhury;Zhigang Hu

  • Optimal Power Allocation and Load Distribution for Multiple Heterogeneous Multicore Server Processors across Clouds and Data Centers

    Junwei Cao;Keqin Li;Ivan Stojmenovic

  • Distributed Deep Learning Model for Intelligent Video Surveillance Systems with Edge Computing

    Jianguo Chen;Kenli Li;Qingying Deng;Keqin Li

  • Performance Analysis and Optimization for SpMV on GPU Using Probabilistic Modeling

    Kenli Li;Wangdong Yang;Keqin Li

  • A scheduling scheme in the cloud computing environment using deep Q-learning

    Zhao Tong;Hongjian Chen;Xiaomei Deng;Kenli Li

  • A two dimensional buddy system for dynamic resource allocation in a partitionable mesh connected system

    Keqin Li;Kam Hoi Cheng

  • Scheduling Precedence Constrained Stochastic Tasks on Heterogeneous Cluster Systems

    Kenli Li;Xiaoyong Tang;Bharadwaj Veeravalli;Keqin Li

  • Bi-objective workflow scheduling of the energy consumption and reliability in heterogeneous computing systems

    Longxin Zhang;Longxin Zhang;Kenli Li;Changyun Li;Keqin Li;Keqin Li

  • A two-dimensional buddy systems for dynamic resource allocation in a partitionable mesh connected system

    Keqin Li;Kam-Hoi Cheng

Frequent Co-Authors

Kenli Li
Kenli Li Hunan University
Guoqi Xie
Guoqi Xie Hunan University
Samee U. Khan
Samee U. Khan Mississippi State University
Albert Y. Zomaya
Albert Y. Zomaya University of Sydney
Kashif Bilal
Kashif Bilal COMSATS University Islamabad
Fan Zhang
Fan Zhang Chinese Academy of Sciences
Weimin Zheng
Weimin Zheng Tsinghua University
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Hong Shen
Hong Shen Sun Yat-sen University
Jie Li
Jie Li Shanghai Jiao Tong University

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