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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:

Applications of machine learning and deep learning methods for climate change mitigation and adaptation
Tahmineh Ladi, Shaghayegh Jabalameli, Ayyoob Sharifi
Environment and Planning B Urban Analytics and City Science (2022) Vol. 49, Iss. 4, pp. 1314-1330
Closed Access | Times Cited: 22

Showing 22 citing articles:

Using artificial intelligence to implement the UN sustainable development goals at higher education institutions
Walter Leal Filho, Priscilla Cristina Cabral Ribeiro, Janaína Mazutti, et al.
International Journal of Sustainable Development & World Ecology (2024) Vol. 31, Iss. 6, pp. 726-745
Closed Access | Times Cited: 14
Article Context and Technological Integration: AI's Role in Climate Change Research
Fredrick Kayusi, Srinivas Kasulla, S J Malik, et al.
LatIA (2025) Vol. 3, pp. 85-85
Closed Access | Times Cited: 1
Challenges and prospects of climate change impact assessment on mangrove environments through mathematical models
Majdi Fanous, Jonathan Eden, Renji Remesan, et al.
Environmental Modelling & Software (2023) Vol. 162, pp. 105658-105658
Open Access | Times Cited: 16
NDVI joint process-based models drive a learning ensemble model for accurately estimating cropland net primary productivity (NPP)
Zhaosheng Wang, Zhengjia Liu, Mei Huang
Frontiers in Environmental Science (2024) Vol. 11
Open Access | Times Cited: 4
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
Development of deep learning models for climate change within python framework
Hemaraju Pollayi, Praveena Rao, Dathathreya Chakali, et al.
Elsevier eBooks (2025), pp. 159-185
Closed Access
AI and Climate Change: Theories, Tools, Benefits & Disbenefits
Oluwatoyin Abidemi Somoye, Toluwalope Seyi Akinwande
Environmental earth sciences (2025), pp. 323-332
Closed Access
Review of machine learning and WEAP models for water allocation under climate change
Deme Betele Hirko, J A du Plessis, A. Bosman
Earth Science Informatics (2025) Vol. 18, Iss. 3
Open Access
Enhancing Wetland Restoration through Machine Learning-Based Decision Support Systems
Fredrick Kayusi, Petros Chavula
LatIA (2025) Vol. 3, pp. 81-81
Closed Access
Decoupling economic growth from climate change: Unravelling the multi-dimensional dynamics of consumption-based emissions
Enoch Quaye, Fred A. Yamoah, Pratyush Kumar Patro, et al.
Journal of the Operational Research Society (2025), pp. 1-17
Open Access
Greenhouse Environment Sentinel with Hybrid LSTM-SVM for Proactive Climate Management
Yi-Chih Tung, Nasyah Wulandari Syahputri, I. Gusti Nyoman Anton Surya Diputra
AgriEngineering (2025) Vol. 7, Iss. 4, pp. 96-96
Open Access
A REVIEW OF MACHINE LEARNING TECHNIQUES FOR URBAN RESILIENCE RESEARCH: THE APPLICATION AND PROGRESS OF DIFFERENT MACHINE LEARNING TECHNIQUES IN ASSESSING AND ENHANCING URBAN RESILIENCE
Yu Chen, Wonsang You, Lu Ou, et al.
Systems and Soft Computing (2025), pp. 200269-200269
Open Access
Use of Geospatial Technology and Modeling to Assess and Predict Climate Change Impacts
Emad H. E. Yasin, Kornél Czimber, Nasradeen A. H. Gadallah, et al.
Advances in global change research (2025), pp. 133-156
Closed Access
Climate Change Adaptation and Mitigation using Deep Learning for Urban Environments
S Sujanthi, P. Santhosh, M N Vimal Raj, et al.
(2024), pp. 1468-1473
Closed Access | Times Cited: 2
IMPROVINGURBAN ENERGYRESILIENCEWITH AN INTEGRATIVE FRAMEWORK BASED ON MACHINE LEARNINGMETHODS
Asmaaa M. Hassan, Naglaa A. Megahed
Architecture and Engineering (2022) Vol. 7, Iss. 4, pp. 17-35
Open Access | Times Cited: 8
Text Classification of Climate Change Tweets using Artificial Neural Networks, FastText Word Embeddings, and Latent Dirichlet Allocation
John Daves S. Baguio, Billy A. Lu, Christine F. Peña
2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) (2023), pp. 688-692
Closed Access | Times Cited: 4
Text mining public feedback on urban densification plan change in Hamilton, New Zealand
Xinyu Fu, Catherine Brinkley, Thomas W. Sanchez, et al.
Environment and Planning B Urban Analytics and City Science (2024)
Open Access | Times Cited: 1
Computer Vision and Machine Learning in Agriculture: An Introduction
Jagdish Chand Bansal, Mohammad Shorif Uddin
Algorithms for intelligent systems (2023), pp. 1-18
Closed Access | Times Cited: 3
A review of using deep learning from an ecology perspective to address climate change and air pollution
R. Murugadoss, S. Leena Nesamani, A Banushri, et al.
Global NEST Journal (2024)
Closed Access
Deep Learning-Based Time Series Analysis for Environment Changes
Ajay Anand, Shashi Bhushan, Sudhaker Upadhyay
Indian Journal of Artificial Intelligence and Neural Networking (2024) Vol. 4, Iss. 6, pp. 10-18
Closed Access
Predictive Insights for a Climate -Resilient Africa: A Data-Driven Approach to Mitigation and Adaptation
ANYA Anya Adebayo, ANYA Kelechi Adura, Eke Kehinde ANYA
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 254-260
Open Access
Does low-carbon city pilot lead to adaptation? Empirical research from 267 prefecture-level cities in China
Qianqian Huang, Cuihong Long, Linsha Wei, et al.
International Journal of Urban Sciences (2024), pp. 1-22
Closed Access
Climate Change Forecasting using Machine Learning Algorithms
Tanmya Vishvakarma
International Journal for Research in Applied Science and Engineering Technology (2022) Vol. 10, Iss. 10, pp. 881-888
Open Access | Times Cited: 1
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