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:
A Granular Computing-Based Hybrid Hierarchical Method for Construction of Long-Term Prediction Intervals for Gaseous System of Steel Industry
Linqing Wang, Zhongyang Han, Witold Pedrycz, et al.
IEEE Access (2020) Vol. 8, pp. 63538-63550
Open Access | Times Cited: 7
Linqing Wang, Zhongyang Han, Witold Pedrycz, et al.
IEEE Access (2020) Vol. 8, pp. 63538-63550
Open Access | Times Cited: 7
Showing 7 citing articles:
A comprehensive benchmark of machine learning-based algorithms for medium-term electric vehicle charging demand prediction
Ömer Can Tolun, Kasım Zor, Önder Tutsoy
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Open Access | Times Cited: 1
Ömer Can Tolun, Kasım Zor, Önder Tutsoy
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Open Access | Times Cited: 1
Hierarchical feature selection with multi-granularity clustering structure
Shunxin Guo, Hong Zhao, Wenyuan Yang
Information Sciences (2021) Vol. 568, pp. 448-462
Closed Access | Times Cited: 20
Shunxin Guo, Hong Zhao, Wenyuan Yang
Information Sciences (2021) Vol. 568, pp. 448-462
Closed Access | Times Cited: 20
Granulation-based long-term interval prediction considering spatial–temporal correlations for gas demand prediction in the steel industry
Pengwei Zhou, Zuhua Xu, Xiaoping Zhu, et al.
Expert Systems with Applications (2024) Vol. 248, pp. 123382-123382
Closed Access | Times Cited: 1
Pengwei Zhou, Zuhua Xu, Xiaoping Zhu, et al.
Expert Systems with Applications (2024) Vol. 248, pp. 123382-123382
Closed Access | Times Cited: 1
Design a Multi-granular Fuzzy Model with Hierarchical Tree Structure Using CFCM Clustering
Chan-Uk Yeom, Keun-Chang Kwak
Studies in big data (2024), pp. 135-162
Closed Access
Chan-Uk Yeom, Keun-Chang Kwak
Studies in big data (2024), pp. 135-162
Closed Access
A Design and Its Application of Multi-Granular Fuzzy Model with Hierarchical Tree Structures
Chan-Uk Yeom, Keun-Chang Kwak
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11175-11175
Open Access | Times Cited: 1
Chan-Uk Yeom, Keun-Chang Kwak
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11175-11175
Open Access | Times Cited: 1
A Design of CGK-Based Granular Model Using Hierarchical Structure
Chan-Uk Yeom, Keun-Chang Kwak
Applied Sciences (2022) Vol. 12, Iss. 6, pp. 3154-3154
Open Access | Times Cited: 1
Chan-Uk Yeom, Keun-Chang Kwak
Applied Sciences (2022) Vol. 12, Iss. 6, pp. 3154-3154
Open Access | Times Cited: 1
A Design and Optimization of a CGK-Based Fuzzy Granular Model Based on the Generation of Rational Information Granules
Chan-Uk Yeom, Keun-Chang Kwak
Applied Sciences (2022) Vol. 12, Iss. 14, pp. 7226-7226
Open Access | Times Cited: 1
Chan-Uk Yeom, Keun-Chang Kwak
Applied Sciences (2022) Vol. 12, Iss. 14, pp. 7226-7226
Open Access | Times Cited: 1
