World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 52 5086 4947 36 36 523 10773

Kuan-Ching Li publications per year

The chart shows the history of publications by Kuan-Ching Li between 1996 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Kuan-Ching Li published across 30 years, from 1996 to 2025, averaging 21.4 papers a year. Output peaked at 82 publications in 2025. 144 of the 643 publications appeared in the last two years.

No. of publications
20 40 60 80
Bar chart. Horizontal axis: year, 1996 to 2025. Vertical axis: number of publications, 0 to 82. Peak 82 publications in 2025. 1996: 1 publication 1997: 0 publications 1998: 0 publications 1999: 1 publication 2000: 0 publications 2001: 0 publications 2002: 1 publication 2003: 1 publication 2004: 13 publications 2005: 36 publications 2006: 17 publications 2007: 17 publications 2008: 14 publications 2009: 19 publications 2010: 12 publications 2011: 14 publications 2012: 12 publications 2013: 20 publications 2014: 19 publications 2015: 20 publications 2016: 22 publications 2017: 19 publications 2018: 21 publications 2019: 36 publications 2020: 44 publications 2021: 43 publications 2022: 43 publications 2023: 54 publications 2024: 62 publications 2025: 82 publications
1996 2025

643 publications in total across all disciplines

View publications per year as a table
Kuan-Ching Li: publications per year, 1996 to 2025
Year Publications
1996 1
1997 0
1998 0
1999 1
2000 0
2001 0
2002 1
2003 1
2004 13
2005 36
2006 17
2007 17
2008 14
2009 19
2010 12
2011 14
2012 12
2013 20
2014 19
2015 20
2016 22
2017 19
2018 21
2019 36
2020 44
2021 43
2022 43
2023 54
2024 62
2025 82
Total 643
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Kuan-Ching Li publications per year - data summary

  • Kuan-Ching Li, a Computer Science scholar from Providence University, has 643 publications recorded across 30 years, from 1996 to 2025.
  • The oldest publication on record dates to 1996 and the most recent to 2025.
  • The most productive year is 2025, with 82 publications.
  • The least productive years with any output are 1996, 1999, 2002 and 2003, with 1 publication each.
  • 4 of the 30 years in the span carry no publications at all (1997, 1998, 2000 and 2001).
  • The rate of publication averages 21.4 papers per year over the whole span, or 24.7 per year counting only the 26 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 284 publications, 44% of the career total.
  • Split into equal eras - 1996-2005: 53 publications (5.3 per year); 2006-2015: 164 publications (16.4 per year); 2016-2025: 426 publications (42.6 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Kuan-Ching 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 Kuan-Ching 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, 522–531 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: 523 publications — 94th percentile

94% 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 51 523
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
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Kuan-Ching 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.
  • Kuan-Ching Li, a Computer Science scholar from Providence University, records 523 publications - the 94th percentile of the discipline.
  • 94% of ranked Computer Science scientists score the same or lower than Kuan-Ching Li, and about 6% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Kuan-Ching 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).

Kuan-Ching 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 Kuan-Ching 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, 52–53 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: 52 D-Index — 65th percentile

65% 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 52
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
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Kuan-Ching 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.
  • Kuan-Ching Li, a Computer Science scholar from Providence University, records 52 D-Index - the 65th percentile of the discipline.
  • 65% of ranked Computer Science scientists score the same or lower than Kuan-Ching Li, and about 35% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Kuan-Ching 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).

Overview

Kuan-Ching Li is affiliated with Providence University in Taiwan and has an extensive research portfolio primarily in computer science and engineering. Their work spans several subfields, with a focus on artificial intelligence, computer networks and communications, computer vision and pattern recognition, information systems, and electrical and electronic engineering.

The main topics addressed in their research include blockchain technology applications and security, cryptography and data security, privacy-preserving technologies in data, IoT and edge/fog computing, network security and intrusion detection, advanced image and video retrieval techniques, and advanced text analysis techniques.

Recent papers by Kuan-Ching Li explore these topics in depth. Notable publications include:

  • Blockchain-Assisted Secure Fine-Grained Searchable Encryption for a Cloud-Based Healthcare Cyber-Physical System, 2021, IEEE/CAA Journal of Automatica Sinica
  • Secure Data Storage and Recovery in Industrial Blockchain Network Environments, 2020, IEEE Transactions on Industrial Informatics
  • A Traceable and Revocable Ciphertext-Policy Attribute-based Encryption Scheme Based on Privacy Protection, 2020, IEEE Transactions on Dependable and Secure Computing
  • Circuit Copyright Blockchain: Blockchain-Based Homomorphic Encryption for IP Circuit Protection, 2020, IEEE Transactions on Emerging Topics in Computing
  • A blockchain-based Roadside Unit-assisted authentication and key agreement protocol for Internet of Vehicles, 2020, Journal of Parallel and Distributed Computing

Kuan-Ching Li frequently collaborates with several co-authors, including:

  • Dezhi Han
  • Wei Liang
  • Tien-Hsiung Weng
  • Xiuju Gao
  • Bin Ge

The researcher has published extensively in several prominent venues, with the highest number of contributions appearing in:

  • IEEE Internet of Things Journal
  • The Journal of Supercomputing
  • Soft Computing
  • Computer Science and Information Systems
  • IEEE Access

Kuan-Ching Li has also contributed to multiple book publications with various publishers. Noteworthy publishers include Springer Nature, Springer Science+Business Media, and Springer International Publishing. Titles published cover a range of topics such as advanced computing, intelligent engineering, machine learning, and distributed computing.

This body of work, crossing multiple fields and technology domains, reflects a sustained engagement with cybersecurity, blockchain integration, and applied artificial intelligence approaches in complex computing systems.

Best Publications

  • Secure Data Storage and Recovery in Industrial Blockchain Network Environments

    Wei Liang;Yongkai Fan;Kuan-Ching Li;Dafang Zhang

  • A Secure FaBric Blockchain-Based Data Transmission Technique for Industrial Internet-of-Things

    Wei Liang;Mingdong Tang;Jing Long;Xin Peng

  • A Traceable and Revocable Ciphertext-policy Attribute-based Encryption Scheme Based on Privacy Protection

    Dezhi Han;Nannan Pan;Kuan-Ching Li

  • An Industrial Network Intrusion Detection Algorithm Based on Multifeature Data Clustering Optimization Model

    Wei Liang;Kuan-Ching Li;Jing Long;Xiaoyan Kui

  • Circuit Copyright Blockchain: Blockchain-Based Homomorphic Encryption for IP Circuit Protection

    Wei Liang;Dafang Zhang;Xia Lei;Mingdong Tang

  • Blockchain for federated learning toward secure distributed machine learning systems: a systemic survey.

    Dun Li;Dezhi Han;Tien-Hsiung Weng;Zibin Zheng

  • A Blockchain-based auditable access control system for private data in service-centric IoT environments

    Dezhi Han;Yujie Zhu;Dun Li;Wei Liang

  • Data Fusion Approach for Collaborative Anomaly Intrusion Detection in Blockchain-based Systems

    Wei Liang;Lijun Xiao;Ke Zhang;Mingdong Tang

  • Deep Reinforcement Learning for Resource Protection and Real-Time Detection in IoT Environment

    Wei Liang;Weihong Huang;Jing Long;Ke Zhang

  • LMCA: a lightweight anomaly network traffic detection model integrating adjusted mobilenet and coordinate attention mechanism for IoT

    Unknown

  • An intelligent/cognitive model of task scheduling for IoT applications in cloud computing environment

    Sayantani Basu;Marimuthu Karuppiah;K. Selvakumar;Kuan-Ching Li

  • A Systematic Review of Consensus Mechanisms in Blockchain

    Unknown

  • An intrusion detection approach based on improved deep belief network

    Qiuting Tian;Dezhi Han;Kuan-Ching Li;Xingao Liu

  • A Regularized Cross-Layer Ladder Network for Intrusion Detection in Industrial Internet of Things

    Unknown

  • A Fast Defogging Image Recognition Algorithm Based on Bilateral Hybrid Filtering

    Wei Liang;Jing Long;Kuan-Ching Li;Jianbo Xu

  • A secure and scalable storage system for aggregate data in IoT

    Hai Jiang;Feng Shen;Su Chen;Kuan-Ching Li

  • Big Data: Algorithms, Analytics, and Applications

    Kuan-Ching Li;Hai Jiang;Laurence T. Yang;Alfredo Cuzzocrea

  • Scaling up MapReduce-based Big Data Processing on Multi-GPU systems

    Hai Jiang;Yi Chen;Zhi Qiao;Tien-Hsiung Weng

  • Energy-Aware Task Consolidation Technique for Cloud Computing

    Ching-Hsien Hsu;Shih-Chang Chen;Chih-Chun Lee;Hsi-Ya Chang

  • Wireless sensor network intrusion detection system based on MK-ELM

    Wenjie Zhang;Dezhi Han;Kuan-Ching Li;Francisco Isidro Massetto

  • A Double PUF-based RFID Identity Authentication Protocol in Service-Centric Internet of Things Environments

    Wei Liang;Songyou Xie;Jing Long;Kuan-Ching Li

Frequent Co-Authors

Ching-Hsien Hsu
Ching-Hsien Hsu Asia University Taiwan
Chao-Tung Yang
Chao-Tung Yang Tunghai University
Hamid R. Arabnia
Hamid R. Arabnia University of Georgia
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University
Mingdong Tang
Mingdong Tang Guangdong University of Foreign Studies
Guojun Wang
Guojun Wang Guangzhou University
Layne T. Watson
Layne T. Watson Virginia Tech
Huimin Lu
Huimin Lu Kyushu Institute of Technology
Albert Y. Zomaya
Albert Y. Zomaya University of Sydney
Alfredo Cuzzocrea
Alfredo Cuzzocrea University of Calabria

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