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:

Short-term solar irradiance forecasting based on a novel Bayesian optimized deep Long Short-Term Memory neural network
Neethu Elizabeth Michael, Shazia Hasan, Ahmed Al‐Durra, et al.
Applied Energy (2022) Vol. 324, pp. 119727-119727
Closed Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Energy consumption and carbon emissions forecasting for industrial processes: Status, challenges and perspectives
Yusha Hu, Yi Man
Renewable and Sustainable Energy Reviews (2023) Vol. 182, pp. 113405-113405
Closed Access | Times Cited: 85

A review of the applications of artificial intelligence in renewable energy systems: An approach-based study
Mersad Shoaei, Younes Noorollahi, Ahmad Hajinezhad, et al.
Energy Conversion and Management (2024) Vol. 306, pp. 118207-118207
Closed Access | Times Cited: 48

Prediction of wind and PV power by fusing the multi-stage feature extraction and a PSO-BiLSTM model
Simin Peng, Junchao Zhu, Tiezhou Wu, et al.
Energy (2024) Vol. 298, pp. 131345-131345
Closed Access | Times Cited: 38

A cohesive structure of Bi-directional long-short-term memory (BiLSTM) -GRU for predicting hourly solar radiation
Neethu Elizabeth Michael, Ramesh C. Bansal, Ali Ahmed Adam Ismail, et al.
Renewable Energy (2024) Vol. 222, pp. 119943-119943
Closed Access | Times Cited: 21

Peer-to-peer energy trading optimization for community prosumers considering carbon cap-and-trade
Chun Wu, Xingying Chen, Haochen Hua, et al.
Applied Energy (2024) Vol. 358, pp. 122611-122611
Closed Access | Times Cited: 20

Data-driven energy management system for flexible operation of hydrogen/ammonia-based energy hub: A deep reinforcement learning approach
Du Wen, Muhammad Aziz
Energy Conversion and Management (2023) Vol. 291, pp. 117323-117323
Closed Access | Times Cited: 24

Harnessing AI for solar energy: Emergence of transformer models
Muhammad Fainan Hanif, Jianchun Mi
Applied Energy (2024) Vol. 369, pp. 123541-123541
Closed Access | Times Cited: 11

Enhancement of LSTM models based on data pre-processing and optimization of Bayesian hyperparameters for day-ahead photovoltaic generation prediction
Reinier Herrera Casanova, Arturo Conde Enrı́quez
Computers & Electrical Engineering (2024) Vol. 116, pp. 109162-109162
Closed Access | Times Cited: 10

BO-STA-LSTM: Building energy prediction based on a Bayesian Optimized Spatial-Temporal Attention enhanced LSTM method
Guannan Li, Yong Wang, Chengliang Xu, et al.
Developments in the Built Environment (2024) Vol. 18, pp. 100465-100465
Open Access | Times Cited: 9

Energy optimization of wind turbines via a neural control policy based on reinforcement learning Markov chain Monte Carlo algorithm
Vahid Tavakol Aghaei, Arda Ağababaoğlu, Biram Bawo, et al.
Applied Energy (2023) Vol. 341, pp. 121108-121108
Open Access | Times Cited: 17

Advancing solar energy forecasting with modified ANN and light GBM learning algorithms
Muhammad Farhan Hanif, Muhammad Sabir Naveed, Mohamed Metwaly, et al.
AIMS energy (2024) Vol. 12, Iss. 2, pp. 350-386
Open Access | Times Cited: 7

Hour-Ahead Photovoltaic Power Prediction Combining BiLSTM and Bayesian Optimization Algorithm, with Bootstrap Resampling for Interval Predictions
Reinier Herrera Casanova, Arturo Conde Enrı́quez, Carlos Santos
Sensors (2024) Vol. 24, Iss. 3, pp. 882-882
Open Access | Times Cited: 6

A solar irradiance forecasting model using iterative filtering and bidirectional long short-term memory
Pardeep Singla, Sumit Saroha, Manoj Duhan, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2024) Vol. 46, Iss. 1, pp. 8202-8222
Closed Access | Times Cited: 6

Seasonal solar irradiance forecasting using artificial intelligence techniques with uncertainty analysis
V. Gayathry, K. Deepa, Surender Reddy Salkuti
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6

A hybrid PV cluster power prediction model using BLS with GMCC and error correction via RVM considering an improved statistical upscaling technique
Lihong Qiu, Wentao Ma, Xiaoyang Feng, et al.
Applied Energy (2024) Vol. 359, pp. 122719-122719
Closed Access | Times Cited: 5

Short-term PV power data prediction based on improved FCM with WTEEMD and adaptive weather weights
Fengpeng Sun, Longhao Li, Dun-xin Bian, et al.
Journal of Building Engineering (2024) Vol. 90, pp. 109408-109408
Closed Access | Times Cited: 5

An intelligent decision support system for warranty claims forecasting: Merits of social media and quality function deployment
Ali Nikseresht, Sajjad Shokouhyar‎, Erfan Babaee Tırkolaee, et al.
Technological Forecasting and Social Change (2024) Vol. 201, pp. 123268-123268
Closed Access | Times Cited: 4

Intelligent modeling of combined heat and power unit under full operating conditions via improved crossformer and precise sparrow search algorithm
Guolian Hou, Lingling Ye, Ting Huang, et al.
Energy (2024) Vol. 308, pp. 132879-132879
Closed Access | Times Cited: 4

Forecasting techniques for power systems with renewables
Paúl Arévalo, Darío Benavides, Danny Ochoa-Correa
Elsevier eBooks (2025), pp. 381-412
Closed Access

A Novel Solar Irradiance Forecasting Method Based on BiLSTM Model of Atmosphere and Clouds
Zhenyu Wang, Chang Liu, Hai Zhou, et al.
Lecture notes in electrical engineering (2025), pp. 17-27
Closed Access

Day-Ahead Solar Irradiance Prediction based on Multi-Feature Perspective Clustering
Yong Wang, Gaowei Yan, Shuyi Xiao, et al.
Energy (2025), pp. 135216-135216
Closed Access

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