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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:

An adaptive federated learning system for community building energy load forecasting and anomaly prediction
Rui Wang, Hongguang Yun, Rakiba Rayhana, et al.
Energy and Buildings (2023) Vol. 295, pp. 113215-113215
Closed Access | Times Cited: 20

Showing 20 citing articles:

Simulating long-term energy consumption prediction in campus buildings through enhanced data augmentation and metaheuristic-optimized artificial intelligence
Jui‐Sheng Chou, Hoang-Minh Nguyen
Energy and Buildings (2024) Vol. 312, pp. 114191-114191
Closed Access | Times Cited: 10
A review of federated learning in renewable energy applications: Potential, challenges, and future directions
Albin Grataloup, Stefan Jonas, Angela Meyer
Energy and AI (2024) Vol. 17, pp. 100375-100375
Open Access | Times Cited: 6
Personalized federated learning for cross-building energy knowledge sharing: Cost-effective strategies and model architectures
Cheng Fan, Ruikun Chen, Jinhan Mo, et al.
Applied Energy (2024) Vol. 362, pp. 123016-123016
Closed Access | Times Cited: 5
Leveraging CuMeta for enhanced document classification in cursive languages with transformer stacking
Muhammad Shahid Bhatti, Muhammad Iqbal, Muhammad Umair
Multimedia Tools and Applications (2025)
Closed Access
DPP-GAN: A Decentralized and Privacy-Preserving GAN System for Collaborative Smart Meter Data Generation
Jianbin Li, Xi Xi, Shike Li, et al.
Energy and Buildings (2025) Vol. 333, pp. 115489-115489
Closed Access
Advances in Federated Learning: Applications and Challenges in Smart Building Environments and Beyond
Mohamed Rafik Aymene Berkani, Ammar Chouchane, Yassine Himeur, et al.
Computers (2025) Vol. 14, Iss. 4, pp. 124-124
Open Access
Multi-task deep learning for large-scale buildings energy management
Rui Wang, Rakiba Rayhana, Majid Gholami, et al.
Energy and Buildings (2024) Vol. 307, pp. 113964-113964
Closed Access | Times Cited: 3
Personalized federated learning for buildings energy consumption forecasting
Rui Wang, Ling Bai, Rakiba Rayhana, et al.
Energy and Buildings (2024), pp. 114762-114762
Closed Access | Times Cited: 3
Spatio-temporal prediction of total energy consumption in multiple regions using explainable deep neural network
Shiliang Peng, Lin Fan, Zhang Li, et al.
Energy (2024) Vol. 301, pp. 131526-131526
Closed Access | Times Cited: 2
Deep Reinforcement Learning-Assisted Federated Learning for Robust Short-Term Load Forecasting in Electricity Wholesale Markets
Chenghao Huang, Shengrong Bu, Weilong Chen, et al.
IEEE Transactions on Network Science and Engineering (2024) Vol. 11, Iss. 5, pp. 5073-5086
Closed Access | Times Cited: 2
Residual BiLSTM based hybrid model for short-term load forecasting in buildings
Jiacai Han, Pan Zeng
Journal of Building Engineering (2024), pp. 111593-111593
Closed Access | Times Cited: 1
An efficient hybrid deep neural network for multi-horizon forecasting of academic building power loads
Rubina Akter, Majid Gholami Shirkoohi, Jing Wang, et al.
Energy and Buildings (2024), pp. 115217-115217
Closed Access | Times Cited: 1
Study on the building zoning of regional energy planning based on a dynamic programming theory
Min Chen, Qiang Fu
Case Studies in Thermal Engineering (2023) Vol. 53, pp. 103850-103850
Open Access | Times Cited: 3
Federated Domain Separation for Distributed Forecasting of Non-IID Household Loads
Nan Lu, Shu Liu, Qingsong Wen, et al.
IEEE Transactions on Smart Grid (2024) Vol. 15, Iss. 4, pp. 4271-4283
Closed Access
Federated autoML learning for community building energy prediction
Rui Wang, Ling Bai, Rakiba Rayhana, et al.
(2024), pp. 14-14
Closed Access
Detecting faults in the cooling systems by monitoring temperature and energy
Keshav Kaushik, Vinayak Naik
Energy Informatics (2024) Vol. 7, Iss. 1
Open Access
Personalized Federated Learning for Household Electricity Load Prediction with Imbalanced Historical Data
Shibo Zhu, Xiaodan Shi, Huan Zhao, et al.
(2024)
Closed Access
Multi-area short-term load forecasting based on spatiotemporal graph neural network
Yunlong Lv, Li Wang, Dunhua Long, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109398-109398
Closed Access
Detecting energy consumption anomalies with dynamic adaptive encoder-decoder deep learning networks
Limao Zhang, Jing Guo, Penghui Lin, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 207, pp. 114975-114975
Closed Access
Scalable order dispatching through Federated Multi-Agent Deep Reinforcement Learning
Yao Jing, Bin Guo, Nuo Li, et al.
Expert Systems with Applications (2024) Vol. 264, pp. 125792-125792
Closed Access
Advanced UAV - based leaf disease detection: Deep Radial Basis Function Networks with multidimensional mixed attention
Bappaditya Das, C. S. Raghuvanshi
Multimedia Tools and Applications (2024)
Closed Access
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