643 publications in total across all disciplines
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.
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.
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.
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.
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:
Kuan-Ching Li frequently collaborates with several co-authors, including:
The researcher has published extensively in several prominent venues, with the highest number of contributions appearing in:
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.
Wei Liang;Yongkai Fan;Kuan-Ching Li;Dafang Zhang
Mamta;Brij B. Gupta;Kuan-Ching Li;Victor C. M. Leung
Unknown
Wei Liang;Mingdong Tang;Jing Long;Xin Peng
Dezhi Han;Nannan Pan;Kuan-Ching Li
Wei Liang;Kuan-Ching Li;Jing Long;Xiaoyan Kui
Wei Liang;Dafang Zhang;Xia Lei;Mingdong Tang
Zisang Xu;Wei Liang;Kuan-Ching Li;Jianbo Xu
Dun Li;Dezhi Han;Tien-Hsiung Weng;Zibin Zheng
Dezhi Han;Yujie Zhu;Dun Li;Wei Liang
Wei Liang;Lijun Xiao;Ke Zhang;Mingdong Tang
Wei Liang;Weihong Huang;Jing Long;Ke Zhang
Unknown
Sayantani Basu;Marimuthu Karuppiah;K. Selvakumar;Kuan-Ching Li
Unknown
Qiuting Tian;Dezhi Han;Kuan-Ching Li;Xingao Liu
Unknown
Wei Liang;Jing Long;Kuan-Ching Li;Jianbo Xu
Hai Jiang;Feng Shen;Su Chen;Kuan-Ching Li
Kuan-Ching Li;Hai Jiang;Laurence T. Yang;Alfredo Cuzzocrea
Hai Jiang;Yi Chen;Zhi Qiao;Tien-Hsiung Weng
Ching-Hsien Hsu;Shih-Chang Chen;Chih-Chun Lee;Hsi-Ya Chang
Wenjie Zhang;Dezhi Han;Kuan-Ching Li;Francisco Isidro Massetto
Wei Liang;Songyou Xie;Jing Long;Kuan-Ching Li
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