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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:

Data-driven models for atmospheric air temperature forecasting at a continental climate region
Mohamed Khalid AlOmar, Faidhalrahman Khaleel, Mustafa Mohammed Aljumaily, et al.
PLoS ONE (2022) Vol. 17, Iss. 11, pp. e0277079-e0277079
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Data driven pathway analysis and forecast of global warming and sea level rise
Jiecheng Song, Guanchao Tong, Jiayou Chao, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 34
A Machine Learning-Based Framework for Water Quality Index Estimation in the Southern Bug River
Adil Masood, Majid Niazkar, Mohammad Zakwan, et al.
Water (2023) Vol. 15, Iss. 20, pp. 3543-3543
Open Access | Times Cited: 19
Atmosphere air temperature forecasting using the honey badger optimization algorithm: on the warmest and coldest areas of the world
Jincheng Zhou, Dan Wang, Shahab S. Band, et al.
Engineering Applications of Computational Fluid Mechanics (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 18
Improving PM2.5 prediction in New Delhi using a hybrid extreme learning machine coupled with snake optimization algorithm
Adil Masood, Mohammed Majeed Hameed, Aman Srivastava, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 16
Decompose-deep-recompose models and genetic algorithm based optimal ensemble method (GAE) to enhance the air temperature forecasting of world’s major urban cities
Vipin Kumar
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Improving multi-month hydrological drought forecasting in a tropical region using hybridized extreme learning machine model with Beluga Whale Optimization algorithm
Mohammed Majeed Hameed, Siti Fatin Mohd Razali, Wan Hanna Melini Wan Mohtar, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 12, pp. 4963-4989
Closed Access | Times Cited: 13
Daily air temperature forecasting using LSTM-CNN and GRU-CNN models
İhsan Uluocak, Mehmet Bilgili
Acta Geophysica (2023) Vol. 72, Iss. 3, pp. 2107-2126
Closed Access | Times Cited: 12
Deep learning versus hybrid regularized extreme learning machine for multi-month drought forecasting: A comparative study and trend analysis in tropical region
Mohammed Majeed Hameed, Siti Fatin Mohd Razali, Wan Hanna Melini Wan Mohtar, et al.
Heliyon (2023) Vol. 10, Iss. 1, pp. e22942-e22942
Open Access | Times Cited: 10
Machine learning models development for accurate multi-months ahead drought forecasting: Case study of the Great Lakes, North America
Mohammed Majeed Hameed, Siti Fatin Mohd Razali, Wan Hanna Melini Wan Mohtar, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0290891-e0290891
Open Access | Times Cited: 8
Predictive Analytics of Air Temperature in Alaskan Permafrost Terrain Leveraging Two-Level Signal Decomposition and Deep Learning
Mohamed Aymane Ahajjam, Jaakko Putkonen, Emmanuel Chukwuemeka, et al.
Forecasting (2024) Vol. 6, Iss. 1, pp. 55-80
Open Access | Times Cited: 2
Investigating a hybrid extreme learning machine coupled with Dingo Optimization Algorithm for modeling liquefaction triggering in sand-silt mixtures
Mohammed Majeed Hameed, Adil Masood, Aman Srivastava, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Short-Term Forecasting of Non-Stationary Time Series
Amir Aieb, Antonio Liotta, Alexander Jacob, et al.
(2024), pp. 34-34
Open Access | Times Cited: 2
Temperature Prediction Based on STOA-SVR Rolling Adaptive Optimization Model
Shuaihua Shen, Yanxuan Du, Zhengjie Xu, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 11068-11068
Open Access | Times Cited: 6
Permeation Flux Prediction of Vacuum Membrane Distillation Using Hybrid Machine Learning Techniques
Bashar Ismael, Faidhalrahman Khaleel, Salah S. Ibrahim, et al.
Membranes (2023) Vol. 13, Iss. 12, pp. 900-900
Open Access | Times Cited: 6
Advancements in weather forecasting for precision agriculture: From statistical modeling to transformer-based architectures
Chouaib El Hachimi, Salwa Belaqziz, Saïd Khabba, et al.
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 9, pp. 3695-3717
Closed Access | Times Cited: 1
A perceptible stacking ensemble model for air temperature prediction in a tropical climate zone
Tajrian Mollick, Galib Hashmi, Saifur Rahman Sabuj
Discover Environment (2023) Vol. 1, Iss. 1
Open Access | Times Cited: 3
Climate Change: Linear and Nonlinear Causality Analysis
Jiecheng Song, Merry Ma
Stats (2023) Vol. 6, Iss. 2, pp. 626-642
Open Access | Times Cited: 2
Particulate matter forecasting using artificial neural network and support vector machine based models
Adil Masood, Kafeel Ahmad
(2023)
Open Access | Times Cited: 2
Automated Model Selection Using Bayesian Optimization and the Asynchronous Successive Halving Algorithm for Predicting Daily Minimum and Maximum Temperatures
Dilip Kumar Roy, Mohamed Anower Hossain, Mohamed Panjarul Haque, et al.
Agriculture (2024) Vol. 14, Iss. 2, pp. 278-278
Open Access
Investigating a Hybrid Extreme Learning Machine Coupled with Dingo Optimization Algorithm for Liquefaction Triggering in Sand-Silt Mixtures
Mohammed Majeed Hameed, Adil Masood, Aman Srivast, et al.
Research Square (Research Square) (2024)
Open Access
A multifaceted journey in coastal meteorological projections through multioutput regression: a two-layer stacking ensemble approach
Tajrian Mollick, Galib Hashmi, Saifur Rahman Sabuj
Theoretical and Applied Climatology (2024) Vol. 155, Iss. 6, pp. 4991-5014
Closed Access
Examining optimized machine learning models for accurate multi-month drought forecasting: A representative case study in the USA
Mohammed Majeed Hameed, Siti Fatin Mohd Razali, Wan Hanna Melini Wan Mohtar, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 39, pp. 52060-52085
Closed Access
Predicting daily maximum temperature over Andhra Pradesh using machine learning techniques
Sambasivarao Velivelli, G. Satyanarayana, M. M. Ali
Theoretical and Applied Climatology (2024) Vol. 155, Iss. 9, pp. 8567-8585
Closed Access
Maximum temperature forecasting using deep learning algorithm by hyperparameter optimization
Princy Matlani, Bhardwaj Shukla
E3S Web of Conferences (2024) Vol. 585, pp. 02006-02006
Open Access
Unraveling climate trends in the mediterranean: a hybrid machine learning and statistical approach
Mutaz AlShafeey
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 5, pp. 6255-6277
Open Access
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