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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:

Semi-asynchronous personalized federated learning for short-term photovoltaic power forecasting
Weishan Zhang, Xiao Chen, Ke He, et al.
Digital Communications and Networks (2022) Vol. 9, Iss. 5, pp. 1221-1229
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Emerging information and communication technologies for smart energy systems and renewable transition
Ning Zhao, Haoran Zhang, Xiaohu Yang, et al.
Advances in Applied Energy (2023) Vol. 9, pp. 100125-100125
Open Access | Times Cited: 75
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges
Vishnu Pandi Chellapandi, Liangqi Yuan, Christopher G. Brinton, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 9, Iss. 1, pp. 119-137
Open Access | Times Cited: 41
FedTP: Federated Learning by Transformer Personalization
Hongxia Li, Zhongyi Cai, Jingya Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 13426-13440
Open Access | Times Cited: 40
Review on the Application of Photovoltaic Forecasting Using Machine Learning for Very Short- to Long-Term Forecasting
Putri Nor Liyana Mohamad Radzi, Muhammad Naveed Akhter, Saad Mekhilef, et al.
Sustainability (2023) Vol. 15, Iss. 4, pp. 2942-2942
Open Access | Times Cited: 37
TFEformer: A new temporal frequency ensemble transformer for day-ahead photovoltaic power prediction
Chengming Yu, Ji Qiao, Chao Chen, et al.
Journal of Cleaner Production (2024) Vol. 448, pp. 141690-141690
Closed Access | Times Cited: 14
Federated transfer learning with orchard-optimized Conv-SGRU: A novel approach to secure and accurate photovoltaic power forecasting
Syed Muhammad Salman Bukhari, Syed Kumayl Raza Moosavi, Muhammad Hamza Zafar, et al.
Renewable energy focus (2023) Vol. 48, pp. 100520-100520
Open Access | Times Cited: 18
Machine Learning Approaches to Predict Electricity Production from Renewable Energy Sources
Adam Krechowicz, Maria Krechowicz, Katarzyna Poczęta
Energies (2022) Vol. 15, Iss. 23, pp. 9146-9146
Open Access | Times Cited: 26
Federated learning: Applications, Security hazards and Defense measures
Sonam Tyagi, Ishwari Singh Rajput, Richa Pandey
(2023), pp. 477-482
Closed Access | Times Cited: 16
A personalized federated learning-based fault diagnosis method for data suffering from network attacks
Zhiqiang Zhang, Funa Zhou, Chongsheng Zhang, et al.
Applied Intelligence (2023) Vol. 53, Iss. 19, pp. 22834-22849
Closed Access | Times Cited: 15
Day-ahead solar photovoltaic energy forecasting based on weather data using LSTM networks: a comparative study for photovoltaic (PV) panels in Turkey
Zeynep Garip, Ekin Ekıncı, Ali Alan
Electrical Engineering (2023) Vol. 105, Iss. 5, pp. 3329-3345
Closed Access | Times Cited: 14
Advancing Power System Services With Privacy-Preserving Federated Learning Techniques: A Review
Ran Zheng, Andreas Sumper, Mònica Aragüés‐Peñalba, et al.
IEEE Access (2024) Vol. 12, pp. 76753-76780
Open Access | Times Cited: 4
A novel hybrid intelligent approach for solar photovoltaic power prediction considering UV index and cloud cover
Rahma Aman, M. Rizwan, Astitva Kumar
Electrical Engineering (2024)
Closed Access | Times Cited: 4
Prediction of photovoltaic modules output performance and analysis of influencing factors based on a new optical-electrical-thermal-fluid coupling model
Yunfeng Qiu, Xiao Guo, Yahui Wang, et al.
Energy Conversion and Management (2024) Vol. 321, pp. 119051-119051
Closed Access | Times Cited: 4
HF-Fed: Hierarchical Based Customized Federated Learning Framework for X-Ray Imaging
Tajamul Ashraf, Tisha Madame
Lecture notes in computer science (2025), pp. 13-22
Closed Access
Combining adaptive local aggregation average and test-time energy adaptation for federated learning
Juxin Liao, Chaoxiong Yi, Kai Chen, et al.
International Journal of Machine Learning and Cybernetics (2025)
Closed Access
Distributed Photovoltaic Power Energy Generation Prediction Based on Improved Multi-objective Particle Algorithm
Yuanzheng Xiao, Huawei Hong, Feifei Chen, et al.
EAI Endorsed Transactions on Energy Web (2025) Vol. 12
Open Access
Prototype-based fine-tuning for mitigating data heterogeneity in federated learning
Liming Chai, Jun Xie, Nanrun Zhou
Future Generation Computer Systems (2025), pp. 107831-107831
Closed Access
TransFed: A way to epitomize Focal Modulation using Transformer-based Federated Learning
Tajamul Ashraf, Fuzayil Bin Afzal Mir, Iqra Altaf Gillani
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 543-552
Closed Access | Times Cited: 3
R$^{2}$Fed: Resilient Reinforcement Federated Learning for Industrial Applications
Weishan Zhang, Yu Fa, Xiao Wang, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 8, pp. 8829-8840
Closed Access | Times Cited: 16
Hypernetwork-Based Physics-Driven Personalized Federated Learning for CT Imaging
Ziyuan Yang, Wenjun Xia, Zexin Lu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 36, Iss. 2, pp. 3136-3150
Open Access | Times Cited: 8
Federated learning for solar energy applications: A case study on real-time fault detection
Ibtihal Ait Abdelmoula, Hicham Oufettoul, Nassim Lamrini, et al.
Solar Energy (2024) Vol. 282, pp. 112942-112942
Closed Access | Times Cited: 2
Federated learning and non-federated learning based power forecasting of photovoltaic/wind power energy systems: A systematic review
Filippo Sanfilippo, Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, et al.
Energy and AI (2024) Vol. 18, pp. 100438-100438
Open Access | Times Cited: 2
Novel and Efficient Hybrid Deep Learning Approach for Solar Photovoltaic Power Forecasting Considering Meteorological Parameters
Rahma Aman, M. Rizwan, Astitva Kumar
Research Square (Research Square) (2023)
Open Access | Times Cited: 4
Personalized Federated Learning with Adaptive Information Fusion
Liming Chai, Wenjun Yu, Nanrun Zhou
(2024)
Closed Access | Times Cited: 1
Uncertainty Measured Active Client Selection for Federated Learning in Smart Grid
Pengfei Li, Yunfeng Zhao, Liandong Chen, et al.
(2022), pp. 148-153
Closed Access | Times Cited: 6
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