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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:

Explainable deep transfer learning for energy efficiency prediction based on uncertainty detection and identification
Chanin Panjapornpon, Santi Bardeeniz, M.A. Hussain, et al.
Energy and AI (2022) Vol. 12, pp. 100224-100224
Open Access | Times Cited: 14

Showing 14 citing articles:

A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
Peng Yan, Ahmed Abdulkadir, Paul-Philipp Luley, et al.
IEEE Access (2024) Vol. 12, pp. 3768-3789
Open Access | Times Cited: 39
Digital twin-aided transfer learning for energy efficiency optimization of thermal spray dryers: Leveraging shared drying characteristics across chemicals with limited data
Santi Bardeeniz, Chanin Panjapornpon, Chalermpan Fongsamut, et al.
Applied Thermal Engineering (2024) Vol. 242, pp. 122431-122431
Closed Access | Times Cited: 9
Law of conservation-guided neural network with gradient aggregation for improved energy efficiency optimization in industrial processes
Santi Bardeeniz, Chanin Panjapornpon, Moonyong Lee
Energy and AI (2025), pp. 100475-100475
Open Access
Future Directions of Intelligent Energy Management and the Role of Generative AI
Elissaios Sarmas, Vangelis Marinakis, Haris Doukas
Learning and analytics in intelligent systems (2025), pp. 257-266
Closed Access
Estimating of energy consumption of electric vehicles under different road characteristics: a case study for Nanjing, China
Qianqian Pang, Shuyan Chen, Yongfeng Ma, et al.
International Journal of Green Energy (2024) Vol. 21, Iss. 11, pp. 2612-2627
Closed Access | Times Cited: 4
The enabling technologies for digitalization in the chemical process industry
Marcin Pietrasik, Anna Wilbik, Paul Grefen
Digital Chemical Engineering (2024) Vol. 12, pp. 100161-100161
Open Access | Times Cited: 4
Multistage transfer learning for medical images
Gelan Ayana, Kokeb Dese, Ahmed Mohammed Abagaro, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 4
Energy efficiency and savings analysis with multirate sampling for petrochemical process using convolutional neural network-based transfer learning
Chanin Panjapornpon, Santi Bardeeniz, M.A. Hussain, et al.
Energy and AI (2023) Vol. 14, pp. 100258-100258
Open Access | Times Cited: 10
WITHDRAWN: Enhancing Cancer Detection Through DNA Sequences and Ensemble Method
Seyed Matin Malakouti, Arvin Esfandiari, Mohammad Bagher Menhaj, et al.
Intelligent Systems with Applications (2024), pp. 200371-200371
Open Access
Enhancing industrial sustainability in complex production systems through energy hotspot identification: A multi-task learning with layer-wise relevance propagation approach
Santi Bardeeniz, Chanin Panjapornpon, M.A. Hussain, et al.
Results in Engineering (2024) Vol. 23, pp. 102818-102818
Open Access
Enhancing sustainability in palm oil industry: reinforcement learning for renewable energy management considered climatic variability
Chanin Panjapornpon, Thanatip Satjeenphong, Santi Bardeeniz, et al.
Discover Chemical Engineering (2024) Vol. 4, Iss. 1
Open Access
Development of physics-guided neural network framework for acid-base treatment prediction using carbon dioxide-based tubular reactor
Chanin Panjapornpon, Patcharapol Chinchalongporn, Santi Bardeeniz, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109500-109500
Closed Access
Explore driving factors to energy consumption of electric vehicles based on structural equation modeling
Muhammad Zubair, Shuyan Chen, Yongfeng Ma, et al.
International Journal of Green Energy (2024), pp. 1-11
Closed Access
Machine Learning Methods to Increase the Energy Efficiency of Buildings
Oleksandr Vyshnevskyy, Л. М. Журавчак
Vìsnik Nacìonalʹnogo unìversitetu Lʹvìvsʹka polìtehnìka Serìâ Ìnformacìjnì sistemi ta merežì (2023) Vol. 14, pp. 189-209
Closed Access
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