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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

FML-based Dynamic Assessment Agent for Human-Machine Cooperative System on Game of Go
Chang-Shing Lee, Mei‐Hui Wang, Sheng-Chi Yang, et al.
International Journal of Uncertainty Fuzziness and Knowledge-Based Systems (2017) Vol. 25, Iss. 05, pp. 677-705
Open Access | Times Cited: 13

Showing 13 citing articles:

Ontology-based GFML agent for patent technology requirement evaluation and recommendation
Chang-Shing Lee, Mei‐Hui Wang, Yung‐Chang Hsiao, et al.
Soft Computing (2017) Vol. 23, Iss. 2, pp. 537-556
Closed Access | Times Cited: 11
AI-FML Agent for Robotic Game of Go and AIoT Real-World Co-Learning Applications
Chang-Shing Lee, Yi-Lin Tsai, Mei‐Hui Wang, et al.
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2020), pp. 1-8
Closed Access | Times Cited: 8
Adaptive Fuzzy Neural Agent for Human and Machine Co-learning
Chang-Shing Lee, Yi-Lin Tsai, Mei‐Hui Wang, et al.
International Journal of Fuzzy Systems (2021) Vol. 24, Iss. 2, pp. 778-798
Closed Access | Times Cited: 7
Ontology-based Fuzzy Markup Language Agent for Student and Robot Co-Learning
Chang-Shing Lee, Mei‐Hui Wang, Tzong-Xiang Huang, et al.
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2018), pp. 1-8
Open Access | Times Cited: 6
A GFML-based Robot Agent for Human and Machine Cooperative Learning on Game of Go
Chang-Shing Lee, Mei‐Hui Wang, Li-Chuang Chen, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2019), pp. 793-799
Open Access | Times Cited: 5
PFML-based Semantic BCI Agent for Game of Go Learning and Prediction
Chang-Shing Lee, Mei‐Hui Wang, Li-Wei Ko, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 4
Human and Smart Machine Co-Learning: Brain-Computer Interaction at the 2017 IEEE International Conference on Systems, Man, and Cybernetics
Chang-Shing Lee, Mei‐Hui Wang, Li-Wei Ko, et al.
IEEE Systems Man and Cybernetics Magazine (2018) Vol. 4, Iss. 2, pp. 6-13
Open Access | Times Cited: 4
FML-based Machine Learning Tool for Human Emotional Agent with BCI on Music Application
Chang-Shing Lee, Yi-Lin Tsai, Mei‐Hui Wang, et al.
(2019), pp. 1-6
Closed Access | Times Cited: 3
FML-based prediction agent and its application to game of Go
Chang-Shing Lee, Chia-Hsiu Kao, Mei‐Hui Wang, et al.
(2017), pp. 1-6
Open Access | Times Cited: 3
From T2 FS-Based MoGoTW System to DyNaDF for Human and Machine Co-learning on Go
Chang-Shing Lee, Mei‐Hui Wang, Sheng-Chi Yang, et al.
Studies in fuzziness and soft computing (2018), pp. 1-24
Closed Access | Times Cited: 2
AI-FML Agent with Patch Learning Mechanism for Robotic Game of Go Application
Chang-Shing Lee, Yi-Lin Tsai, Mei‐Hui Wang, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2020), pp. 3708-3713
Closed Access | Times Cited: 2
Human and Smart Machine Co-Learning with Brain Computer Interface
Chang-Shing Lee, Mei‐Hui Wang, Li-Wei Ko, et al.
arXiv (Cornell University) (2018)
Open Access | Times Cited: 1
A GFML-based Robot Agent for Human and Machine Cooperative Learning on Game of Go
Chang-Shing Lee, Mei‐Hui Wang, Li-Chuang Chen, et al.
arXiv (Cornell University) (2019)
Open Access
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