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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:

Automated Deep CNN-LSTM Architecture Design for Solar Irradiance Forecasting
Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abdollah Kavousi‐Fard, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2021) Vol. 52, Iss. 1, pp. 54-65
Closed Access | Times Cited: 132

Showing 1-25 of 132 citing articles:

An intelligent driven deep residual learning framework for brain tumor classification using MRI images
Hossein Mehnatkesh, Seyed Mohammad Jafar Jalali, Abbas Khosravi, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 119087-119087
Closed Access | Times Cited: 92
Deep learning and statistical methods for short- and long-term solar irradiance forecasting for Islamabad
Syed Altan Haider, Muhammad Sajid, Sajid Hassan, et al.
Renewable Energy (2022) Vol. 198, pp. 51-60
Closed Access | Times Cited: 89
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: 17
A deep learning based trust- and tag-aware recommender system
Sajad Ahmadian, Milad Ahmadian, Mahdi Jalili
Neurocomputing (2021) Vol. 488, pp. 557-571
Closed Access | Times Cited: 87
Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation
Lei Liu, Dong Zhao, Fanhua Yu, et al.
Computers in Biology and Medicine (2021) Vol. 138, pp. 104910-104910
Closed Access | Times Cited: 80
An advanced short-term wind power forecasting framework based on the optimized deep neural network models
Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Mahdi Khodayar, et al.
International Journal of Electrical Power & Energy Systems (2022) Vol. 141, pp. 108143-108143
Closed Access | Times Cited: 57
Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks
Parul Arora, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 3, pp. 2814-2825
Closed Access | Times Cited: 49
X-ray image based COVID-19 detection using evolutionary deep learning approach
Seyed Mohammad Jafar Jalali, Milad Ahmadian, Sajad Ahmadian, et al.
Expert Systems with Applications (2022) Vol. 201, pp. 116942-116942
Open Access | Times Cited: 48
A spatio-temporal sequence-to-sequence network for traffic flow prediction
Shuqin Cao, Libing Wu, Jia Wu, et al.
Information Sciences (2022) Vol. 610, pp. 185-203
Closed Access | Times Cited: 41
Investigating the Power of LSTM-Based Models in Solar Energy Forecasting
Nur Liyana Mohd Jailani, Jeeva Kumaran Dhanasegaran, Gamal Alkawsi, et al.
Processes (2023) Vol. 11, Iss. 5, pp. 1382-1382
Open Access | Times Cited: 37
Differential evolution-based convolutional neural networks: An automatic architecture design method for intrusion detection in industrial control systems
Jiacheng Huang, Guo‐Qiang Zeng, Guanggang Geng, et al.
Computers & Security (2023) Vol. 132, pp. 103310-103310
Closed Access | Times Cited: 35
A Review on Neural Network Based Models for Short Term Solar Irradiance Forecasting
A. Assaf, Habibollah Haron, Haza Nuzly Abdull Hamed, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8332-8332
Open Access | Times Cited: 28
Convolutional Neural Networks Demystified: A Matched Filtering Perspective-Based Tutorial
Ljubiša Stanković, Danilo P. Mandic
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 6, pp. 3614-3628
Open Access | Times Cited: 23
Artificial Neural Networks for Photovoltaic Power Forecasting: A Review of Five Promising Models
Rafiq Asghar, Francesco Riganti Fulginei, Michele Quercio, et al.
IEEE Access (2024) Vol. 12, pp. 90461-90485
Open Access | Times Cited: 11
A novel solar irradiance forecasting method based on multi-physical process of atmosphere optics and LSTM-BP model
Zhenyu Wang, Yunpeng Zhang, Guorong Li, et al.
Renewable Energy (2024) Vol. 226, pp. 120367-120367
Closed Access | Times Cited: 8
New Hybrid Deep Neural Architectural Search-Based Ensemble Reinforcement Learning Strategy for Wind Power Forecasting
Seyed Mohammad Jafar Jalali, Gerardo J. Osório, Sajad Ahmadian, et al.
IEEE Transactions on Industry Applications (2021) Vol. 58, Iss. 1, pp. 15-27
Closed Access | Times Cited: 49
Developing a novel framework for forecasting groundwater level fluctuations using Bi-directional Long Short-Term Memory (BiLSTM) deep neural network
Redvan Ghasemlounıa, Amin Gharehbaghi, Farshad Ahmadi, et al.
Computers and Electronics in Agriculture (2021) Vol. 191, pp. 106568-106568
Closed Access | Times Cited: 48
Short-Term Solar Irradiance Forecasting Using CNN-1D, LSTM, and CNN-LSTM Deep Neural Networks: A Case Study With the Folsom (USA) Dataset
Felipe Pinto Marinho, Paulo Alexandre Costa Rocha, Ajalmar R. Rocha Neto, et al.
Journal of Solar Energy Engineering (2022) Vol. 145, Iss. 4
Closed Access | Times Cited: 28
RDERL: Reliable deep ensemble reinforcement learning-based recommender system
Milad Ahmadian, Sajad Ahmadian, Mahmood Ahmadi
Knowledge-Based Systems (2023) Vol. 263, pp. 110289-110289
Closed Access | Times Cited: 19
Forecasting solar irradiation using convolutional long short-term memory and feature selection of data from neighboring locations
Ying‐Yi Hong, John Joel F. Martinez
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101271-101271
Closed Access | Times Cited: 7
Attention-Based Models for Multivariate Time Series Forecasting: Multi-step Solar Irradiation Prediction
Sadman Sakib, Mahin Khan Mahadi, Samiur Rashid Abir, et al.
Heliyon (2024) Vol. 10, Iss. 6, pp. e27795-e27795
Open Access | Times Cited: 7
Power purchase agreements for plus energy neighbourhoods: Financial risk mitigation through predictive modelling and bargaining theory
Bakul Kandpal, Stian Backe, Pedro Crespo del Granado
Applied Energy (2024) Vol. 358, pp. 122589-122589
Open Access | Times Cited: 6
Ultra-short-term distributed PV power forecasting for virtual power plant considering data-scarce scenarios
Yuqing Wang, Wenjie Fu, Junlong Wang, et al.
Applied Energy (2024) Vol. 373, pp. 123890-123890
Closed Access | Times Cited: 6
A deep-learning wind speed interval forecasting architecture based on modified scaling approach with feature ranking and two-output gated recurrent unit
Jianzhou Wang, Qiwei Li, Haipeng Zhang, et al.
Expert Systems with Applications (2022) Vol. 211, pp. 118419-118419
Closed Access | Times Cited: 27
A Survey on Deep Learning Role in Distribution Automation System: A New Collaborative Learning-to-Learning (L2L) Concept
Mina Jafari, Abdollah Kavousi‐Fard, Morteza Dabbaghjamanesh, et al.
IEEE Access (2022) Vol. 10, pp. 81220-81238
Open Access | Times Cited: 25
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