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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:

Transfer learning in demand response: A review of algorithms for data-efficient modelling and control
Thijs Peirelinck, Hussain Kazmi, Brida V. Mbuwir, et al.
Energy and AI (2021) Vol. 7, pp. 100126-100126
Open Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives
Giuseppe Pinto, Zhe Wang, Abhishek Roy, et al.
Advances in Applied Energy (2022) Vol. 5, pp. 100084-100084
Open Access | Times Cited: 184
A Deep Analysis of Brain Tumor Detection from MR Images Using Deep Learning Networks
Md Ishtyaq Mahmud, Muntasir Mamun, Ahmed Abdelgawad
Algorithms (2023) Vol. 16, Iss. 4, pp. 176-176
Open Access | Times Cited: 128
A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations
Zehui Zhao, Laith Alzubaidi, Jinglan Zhang, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122807-122807
Open Access | Times Cited: 90
Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings
Davide Coraci, Silvio Brandi, Tianzhen Hong, et al.
Applied Energy (2023) Vol. 333, pp. 120598-120598
Open Access | Times Cited: 53
Pseudo-correlation problem and its solution for the transfer forecasting of short-term natural gas loads
Nan Wei, Lihua Yin, Chuang Yin, et al.
Gas Science and Engineering (2023) Vol. 119, pp. 205133-205133
Closed Access | Times Cited: 42
Transfer learning based multi-layer extreme learning machine for probabilistic wind power forecasting
Yanli Liu, Junyi Wang
Applied Energy (2022) Vol. 312, pp. 118729-118729
Closed Access | Times Cited: 63
A novel image-based transfer learning framework for cross-domain HVAC fault diagnosis: From multi-source data integration to knowledge sharing strategies
Cheng Fan, Weilin He, Yichen Liu, et al.
Energy and Buildings (2022) Vol. 262, pp. 111995-111995
Closed Access | Times Cited: 57
Cross temporal-spatial transferability investigation of deep reinforcement learning control strategy in the building HVAC system level
Xi Fang, Guangcai Gong, Guannan Li, et al.
Energy (2022) Vol. 263, pp. 125679-125679
Open Access | Times Cited: 42
Ten questions concerning data-driven modelling and forecasting of operational energy demand at building and urban scale
Hussain Kazmi, Chun Fu, Clayton Miller
Building and Environment (2023) Vol. 239, pp. 110407-110407
Open Access | Times Cited: 28
An instance based multi-source transfer learning strategy for building’s short-term electricity loads prediction under sparse data scenarios
Borui Wei, Kangji Li, Shiyi Zhou, et al.
Journal of Building Engineering (2024) Vol. 85, pp. 108713-108713
Closed Access | Times Cited: 10
BIM Integration with XAI Using LIME and MOO for Automated Green Building Energy Performance Analysis
Abdul Mateen Khan, Muhammad Abubakar Tariq, Sardar Kashif Ur Rehman, et al.
Energies (2024) Vol. 17, Iss. 13, pp. 3295-3295
Open Access | Times Cited: 10
Demand response model: A cooperative-competitive multi-agent reinforcement learning approach
Eduardo Salazar, Verónica Rosero, Jawana Gabrielski, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108273-108273
Closed Access | Times Cited: 8
Temperature field prediction for various porous media considering variable boundary conditions using deep learning method
Mou Wang, Hui Wang, Ying Yin, et al.
International Communications in Heat and Mass Transfer (2022) Vol. 132, pp. 105916-105916
Closed Access | Times Cited: 29
Reinforcement Learning-Based Pricing and Incentive Strategy for Demand Response in Smart Grids
Eduardo Salazar, Mauro Jurado, Mauricio E. Samper
Energies (2023) Vol. 16, Iss. 3, pp. 1466-1466
Open Access | Times Cited: 20
Transfer learning in agriculture: a review
Md Ismail Hossen, Mohammad Awrangjeb, Shirui Pan, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access
Multi‐Wound Classification: Exploring Image Enhancement and Deep Learning Techniques
Prince Odame, Maxwell Mawube Ahiamadzor, Nana Kwaku Baah Derkyi, et al.
Engineering Reports (2025) Vol. 7, Iss. 1
Open Access
Forecasting techniques for power systems with renewables
Paúl Arévalo, Darío Benavides, Danny Ochoa-Correa
Elsevier eBooks (2025), pp. 381-412
Closed Access
Fault prognosis of Li-ion batteries in electric vehicles: Recent progress, challenges and prospects
Heng Li, Muaaz Bin Kaleem, Kailong Liu, et al.
Journal of Energy Storage (2025) Vol. 116, pp. 116002-116002
Closed Access
Performance evaluation of short-term cross-building energy predictions using deep transfer learning strategies
Guannan Li, Yubei Wu, Jiangyan Liu, et al.
Energy and Buildings (2022) Vol. 275, pp. 112461-112461
Closed Access | Times Cited: 25
Where Reinforcement Learning Meets Process Control: Review and Guidelines
Ruan de Rezende Faria, Bruno Didier Olivier Capron, Argimiro R. Secchi, et al.
Processes (2022) Vol. 10, Iss. 11, pp. 2311-2311
Open Access | Times Cited: 25
Thermodynamically‐consistent flash calculation in energy industry: From iterative schemes to a unified thermodynamics‐informed neural network
Tao Zhang, Shuyu Sun, Hua Bai
International Journal of Energy Research (2022) Vol. 46, Iss. 11, pp. 15332-15346
Open Access | Times Cited: 22
An improved transfer learning strategy for short-term cross-building energy prediction using data incremental
Guannan Li, Yubei Wu, Chengchu Yan, et al.
Building Simulation (2023) Vol. 17, Iss. 1, pp. 165-183
Closed Access | Times Cited: 14
Building thermal dynamics modeling with deep transfer learning using a large residential smart thermostat dataset
Han Li, Giuseppe Pinto, Marco Savino Piscitelli, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107701-107701
Open Access | Times Cited: 12
Advancing Early Leukemia Diagnostics: A Comprehensive Study Incorporating Image Processing and Transfer Learning
Rezaul Haque, Abdullah Al Sakib, Md. Forhad Hossain, et al.
BioMedInformatics (2024) Vol. 4, Iss. 2, pp. 966-991
Open Access | Times Cited: 4
Attention-Focused Eye Gaze Analysis to Predict Autistic Traits Using Transfer Learning
Ranjeet Vasant Bidwe, Sashikala Mishra, Simi Bajaj, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 4
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