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:

Application of ensemble machine learning model in downscaling and projecting climate variables over different climate regions in Iran
Seyed Babak Haji Seyed Asadollah, Ahmad Sharafati, Shamsuddin Shahid
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 12, pp. 17260-17279
Closed Access | Times Cited: 23

Showing 23 citing articles:

A Review of Ensemble Learning Algorithms Used in Remote Sensing Applications
Yuzhen Zhang, Jingjing Liu, Wenjuan Shen
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8654-8654
Open Access | Times Cited: 183

Spatiotemporal changes in future precipitation of Afghanistan for shared socioeconomic pathways
Sayed Tamim Rahimi, Ziauddin Safari, Shamsuddin Shahid, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28433-e28433
Open Access | Times Cited: 7

Accuracy of historical precipitation from CMIP6 global climate models under diversified climatic features over India
Gaurav Patel, Subhasish Das, Rajib Das
Environmental Development (2024) Vol. 50, pp. 100998-100998
Closed Access | Times Cited: 5

The effectiveness of machine learning‐based multi‐model ensemble predictions of CMIP6 in Western Ghats of India
Swathi Shetty, Pruthviraj Umesh, Amba Shetty
International Journal of Climatology (2023) Vol. 43, Iss. 11, pp. 5029-5054
Closed Access | Times Cited: 12

Satellite-based prediction of surface dust mass concentration in southeastern Iran using an intelligent approach
Seyed Babak Haji Seyed Asadollah, Ahmad Sharafati, Davide Motta, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 10, pp. 3731-3745
Closed Access | Times Cited: 11

Comparison of machine learning statistical downscaling and regional climate models for temperature, precipitation, wind speed, humidity and radiation over Europe under present conditions
Alfonso Hernanz, Carlos Correa, Marta Domínguez, et al.
International Journal of Climatology (2023) Vol. 43, Iss. 13, pp. 6065-6082
Open Access | Times Cited: 11

Soft Computing Paradigm for Climate Change Adaptation and Mitigation in Iran, Pakistan, and Turkey: A Systematic Review
Muhammad Talha, A. Pouyan Nejadhashemi, Kieron Moller
Heliyon (2025) Vol. 11, Iss. 2, pp. e41974-e41974
Open Access

Assessment and prediction of regional climate based on a multimodel ensemble machine learning method
Yinghao Fu, Haoran Zhuang, Xiaojing Shen, et al.
Climate Dynamics (2023) Vol. 61, Iss. 9-10, pp. 4139-4158
Closed Access | Times Cited: 8

A novel intelligent approach for predicting meteorological drought based on satellite-based precipitation product: Application of an EMD-DFA-DBN hybrid model
Ali Ghozat, Ahmad Sharafati, Seyed Babak Haji Seyed Asadollah, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 107946-107946
Closed Access | Times Cited: 8

General Circulation Model Downscaling Using Interpolation—Machine Learning Model Combination—Case Study: Thailand
Chotirose Prathom, Paskorn Champrasert
Sustainability (2023) Vol. 15, Iss. 12, pp. 9668-9668
Open Access | Times Cited: 7

Measurement and Calibration of EMF: A Study Using Phone and GBDT for Mobile Communication Signals
S. Zeng, Weiwei Chen, Yuhang Ji, et al.
Radio Science (2024) Vol. 59, Iss. 2
Closed Access | Times Cited: 2

Satellite-based ensemble intelligent approach for predicting forest fire: a case of the Hyrcanian forest in Iran
Seyed Babak Haji Seyed Asadollah, Ahmad Sharafati, Davide Motta
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 15, pp. 22830-22846
Closed Access | Times Cited: 2

Artificial Intelligence for Climate Change Biology: From Data Collection to Predictions
Ofir Levy, Shimon Shahar
Integrative and Comparative Biology (2024) Vol. 64, Iss. 3, pp. 953-974
Closed Access | Times Cited: 2

Advancements in Downscaling Global Climate Model Temperature Data in Southeast Asia: A Machine Learning Approach
Teerachai Amnuaylojaroen
Forecasting (2023) Vol. 6, Iss. 1, pp. 1-17
Open Access | Times Cited: 6

Development of multi-model ensembles using tree-based machine learning methods to assess the future renewable energy potential: case of the East Thrace, Turkey
Denizhan Güven
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 37, pp. 87314-87329
Closed Access | Times Cited: 4

New insights into culvert scour depth calculation by soft computing models using multi-model ensemble approach and uncertainty analysis
Seyed Morteza Seyedian, Hossien Riahi-Madvar, Reza Tareghian, et al.
ISH Journal of Hydraulic Engineering (2024) Vol. 30, Iss. 3, pp. 349-366
Closed Access | Times Cited: 1

Mapping changes of grassland to arable land using automatic machine learning of stacked ensembles and H2O library
Jiří Šandera, Přemysl Štych
European Journal of Remote Sensing (2023) Vol. 57, Iss. 1
Open Access | Times Cited: 2

How to use artificial intelligence to downscale climate change models’ data
Amirhossein Salimi, Tadros Ghobrial, Hossein Bonakdari
Elsevier eBooks (2024), pp. 147-183
Closed Access

Spatial downscaling of the GCMs precipitation product over various regions of Iran: Application of Long Short-Term Memory model
Roxana Kazemi, Yusef Kheyruri, Aminreza Neshat, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024), pp. 103768-103768
Closed Access

A two-step downscaling method for high-scale super-resolution of daily temperature — a case study of Wei River Basin, China
Xue Li, Yingyin Zhou, Man Zhang, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 12, pp. 32474-32488
Closed Access | Times Cited: 2

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