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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:

Neuro-fuzzy resource forecast in site suitability assessment for wind and solar energy: A mini review
Paul A. Adedeji, Stephen A. Akinlabi, Nkosinathi Madushele, et al.
Journal of Cleaner Production (2020) Vol. 269, pp. 122104-122104
Closed Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

A framework for GIS-based site selection and technical potential evaluation of PV solar farm using Fuzzy-Boolean logic and AHP multi-criteria decision-making approach
Younes Noorollahi, Ali Ghenaatpisheh Senani, Ahmad Fadaei, et al.
Renewable Energy (2022) Vol. 186, pp. 89-104
Closed Access | Times Cited: 152
Synthesis optimization and adsorption modeling of biochar for pollutant removal via machine learning
Wentao Zhang, Ronghua Chen, Jie Li, et al.
Biochar (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 47
Potential of Explainable Artificial Intelligence in Advancing Renewable Energy: Challenges and Prospects
Van Nhanh Nguyen, W. Tarełko, Prabhakar Sharma, et al.
Energy & Fuels (2024) Vol. 38, Iss. 3, pp. 1692-1712
Closed Access | Times Cited: 45
A multi-stage predicting methodology based on data decomposition and error correction for ultra-short-term wind energy prediction
Yagang Zhang, Jingyi Han, Guifang Pan, et al.
Journal of Cleaner Production (2021) Vol. 292, pp. 125981-125981
Closed Access | Times Cited: 82
Development of QSAR-based (MLR/ANN) predictive models for effective design of pyridazine corrosion inhibitors
Taiwo W. Quadri, Lukman O. Olasunkanmi, Ekemini D. Akpan, et al.
Materials Today Communications (2022) Vol. 30, pp. 103163-103163
Closed Access | Times Cited: 66
Weather Impact on Solar Farm Performance: A Comparative Analysis of Machine Learning Techniques
Ajith Gopi, Prabhakar Sharma, K. Sudhakar, et al.
Sustainability (2022) Vol. 15, Iss. 1, pp. 439-439
Open Access | Times Cited: 65
Multi-attribute optimization of sustainable aviation fuel production-process from microalgae source
Zafar Said, Tuan Hai Nguyen, Prabhakar Sharma, et al.
Fuel (2022) Vol. 324, pp. 124759-124759
Closed Access | Times Cited: 63
Artificial Intelligence Based Hybrid Forecasting Approaches for Wind Power Generation: Progress, Challenges and Prospects
Molla Shahadat Hossain Lipu, Md. Sazal Miah, M. A. Hannan, et al.
IEEE Access (2021) Vol. 9, pp. 102460-102489
Open Access | Times Cited: 61
Computational insights into quinoxaline-based corrosion inhibitors of steel in HCl: Quantum chemical analysis and QSPR-ANN studies
Taiwo W. Quadri, Lukman O. Olasunkanmi, Omolola E. Fayemi, et al.
Arabian Journal of Chemistry (2022) Vol. 15, Iss. 7, pp. 103870-103870
Open Access | Times Cited: 59
Modeling, optimization and understanding of adsorption process for pollutant removal via machine learning: Recent progress and future perspectives
Wentao Zhang, Wenguang Huang, Jie Tan, et al.
Chemosphere (2022) Vol. 311, pp. 137044-137044
Open Access | Times Cited: 58
Geospatial-assisted multi-criterion analysis of solar and wind power geographical-technical-economic potential assessment
Mohamed R. Elkadeem, Ali Younes, Domenico Mazzeo, et al.
Applied Energy (2022) Vol. 322, pp. 119532-119532
Closed Access | Times Cited: 53
Modelling potential land suitability of large-scale wind energy development using explainable machine learning techniques: Applications for China, USA and EU
Yanwei Sun, Ying Li, Run Wang, et al.
Energy Conversion and Management (2024) Vol. 302, pp. 118131-118131
Closed Access | Times Cited: 11
Offshore wind farm site selection in Norway: Using a fuzzy trigonometric weighted assessment model
Ümit Cali, Emre Kantar, Dragan Pamučar, et al.
Journal of Cleaner Production (2024) Vol. 436, pp. 140530-140530
Open Access | Times Cited: 9
Decision-making methodologies in offshore wind power investments: A review
Qian Liu, Yan Quan Sun, Mengcheng Wu
Journal of Cleaner Production (2021) Vol. 295, pp. 126459-126459
Closed Access | Times Cited: 54
Techniques for compensation of unbalanced conditions in LV distribution networks with integrated renewable generation: An overview
Watcharakorn Pinthurat, Branislav Hredzak, Georgios Konstantinou, et al.
Electric Power Systems Research (2022) Vol. 214, pp. 108932-108932
Closed Access | Times Cited: 30
An enhanced prediction framework for coalbed methane production incorporating deep learning and transfer learning
Shuyi Du, Meizhu Wang, Jiaosheng Yang, et al.
Energy (2023) Vol. 282, pp. 128877-128877
Closed Access | Times Cited: 21
Suitability Analysis Using GIS-Based Analytic Hierarchy Process (AHP) for Solar Power Exploration
Jerome G. Gacu, Junrey D. Garcia, Eddie G. Fetalvero, et al.
Energies (2023) Vol. 16, Iss. 18, pp. 6724-6724
Open Access | Times Cited: 21
Solar Energy Forecasting Using Machine Learning and Deep Learning Techniques
T. Rajasundrapandiyanleebanon, K. Kumaresan, Sakthivel Murugan, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3059-3079
Closed Access | Times Cited: 18
Suitable site selection for the development of solar based smart hydrogen energy plant in the Gangwon-do region, South Korea using big data: A geospatial approach
Sang‐Guk Yum, Manik Das Adhikari
International Journal of Hydrogen Energy (2023) Vol. 48, Iss. 93, pp. 36295-36313
Closed Access | Times Cited: 18
“site suitability analysis for integrating large-scale hybrid photovoltaic and concentrated solar power plants in Cameroon using Monte Carlo, analytic hierarchy process, and geographic information system methods”
Fotsing Metegam Isabelle Flora
Energy Conversion and Management X (2025), pp. 100871-100871
Open Access
A spatio-temporal decision-making model for solar, wind, and hybrid systems – A case study of Saudi Arabia
Mohamed R. Elkadeem, Ali Younes, Jakub Jurasz, et al.
Applied Energy (2025) Vol. 383, pp. 125277-125277
Closed Access
Assessment of wind energy potential using reanalysis data: A comparison with mast measurements
Rajat Kanti Samal
Journal of Cleaner Production (2021) Vol. 313, pp. 127933-127933
Closed Access | Times Cited: 33
Where is the most feasible, economical, and green wind energy? Evidence from high-resolution potential mapping in China
Yanhua Wang, Yanyue Qin, Ke Wang, et al.
Journal of Cleaner Production (2022) Vol. 376, pp. 134287-134287
Closed Access | Times Cited: 26
Global Spatial Suitability Mapping of Wind and Solar Systems Using an Explainable AI-Based Approach
Mourtadha Sarhan Sachit, Helmi Zulhaidi Mohd Shafri, Ahmad Fikri Abdullah, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 8, pp. 422-422
Open Access | Times Cited: 24
Heuristic-machine learning models for solar radiation forecasting in Köppen climate zones
Ilse Cervantes, Carlos A. Cervantes-Ortiz, David-Hiram Vazquez-Santana, et al.
Applied Soft Computing (2025), pp. 112807-112807
Closed Access
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