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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.

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Showing 25 citing articles:

Predicting lake water quality index with sensitivity-uncertainty analysis using deep learning algorithms
Swapan Talukdar, Shahfahad, Shakeel Ahmed, et al.
Journal of Cleaner Production (2023) Vol. 406, pp. 136885-136885
Closed Access | Times Cited: 57
Forest fire susceptibility mapping with sensitivity and uncertainty analysis using machine learning and deep learning algorithms
Mohd Rihan, Ahmed Ali Bindajam, Swapan Talukdar, et al.
Advances in Space Research (2023) Vol. 72, Iss. 2, pp. 426-443
Closed Access | Times Cited: 46
Revolutionizing Groundwater Management with Hybrid AI Models: A Practical Review
Mojtaba Zaresefat, Reza Derakhshani
Water (2023) Vol. 15, Iss. 9, pp. 1750-1750
Open Access | Times Cited: 27
Multi-objective robust optimization of reservoir operation for real-time flood control under forecasting uncertainty
Xinting Yu, Yue‐Ping Xu, Haiting Gu, et al.
Journal of Hydrology (2023) Vol. 620, pp. 129421-129421
Closed Access | Times Cited: 24
Developing Robust Flood Susceptibility Model with Small Numbers of Parameters in Highly Fertile Regions of Northwest Bangladesh for Sustainable Flood and Agriculture Management
Showmitra Kumar Sarkar, Saifullah Bin Ansar, Khondaker Mohammed Mohiuddin Ekram, et al.
Sustainability (2022) Vol. 14, Iss. 7, pp. 3982-3982
Open Access | Times Cited: 28
Application of bagging and boosting ensemble machine learning techniques for groundwater potential mapping in a drought-prone agriculture region of eastern India
Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, et al.
Environmental Sciences Europe (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 7
Mapping groundwater potentiality by using hybrid machine learning models under the scenario of climate variability: a national level study of Bangladesh
Showmitra Kumar Sarkar, Fahad Alshehri, Shahfahad, et al.
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 5
Efficacy of Tree-Based Models for Pipe Failure Prediction and Condition Assessment: A Comprehensive Review
Milad Latifi, Ramiz Beig Zali, Akbar A. Javadi, et al.
Journal of Water Resources Planning and Management (2024) Vol. 150, Iss. 7
Open Access | Times Cited: 4
Integrating neuroscience and artificial intelligence: EEG analysis using ensemble learning for diagnosis Alzheimer’s disease and frontotemporal dementia
Amir Hossein Hachamnia, Ali Mehri, Maryam Jamaati
Journal of Neuroscience Methods (2025) Vol. 416, pp. 110377-110377
Closed Access
Spatial prediction of groundwater potential by various novel boosting-based ensemble learning models in mountainous areas
Hanxiang Xiong, Xu Guo, Yuzhou Wang, et al.
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 11
Machine learning models coupled with empirical mode decomposition for simulating monthly and yearly streamflows: a case study of three watersheds in Ontario, Canada
Peiman Parisouj, Changhyun Jun, Sayed M. Bateni, et al.
Engineering Applications of Computational Fluid Mechanics (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 8
Comparison of Novel Hybrid and Benchmark Machine Learning Algorithms to Predict Groundwater Potentiality: Case of a Drought-Prone Region of Medjerda Basin, Northern Tunisia
Fatma Trabelsi, Salsebil Bel Hadj Ali, Saro Lee
Remote Sensing (2022) Vol. 15, Iss. 1, pp. 152-152
Open Access | Times Cited: 13
Developing a new method for future groundwater potentiality mapping under climate change in Bisha watershed, Saudi Arabia
Javed Mallick, Mohammed K. Al Mesfer, Majed Alsubih, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 14495-14527
Closed Access | Times Cited: 12
Spatial distribution pattern and health risk of groundwater contamination by cadmium, manganese, lead and nitrate in groundwater of an arid area
Mohamad Sakizadeh, Chaosheng Zhang, A. Milewski
Environmental Geochemistry and Health (2024) Vol. 46, Iss. 3
Closed Access | Times Cited: 2
Comparison of individual and ensemble machine learning models for prediction of sulphate levels in untreated and treated Acid Mine Drainage
Taskeen Hasrod, Yannick Nuapia, Hlanganani Tutu
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 4
Open Access | Times Cited: 2
Groundwater potential mapping in arid and semi-arid regions of Kurdistan region of Iraq: A geoinformatics-based machine learning approach
Kaiwan K. Fatah, Yaseen T. Mustafa, Imaddadin O. Hassan
Groundwater for Sustainable Development (2024), pp. 101337-101337
Closed Access | Times Cited: 2
Groundwater potential zoning by integrating multi-criteria decision and bivariate analysis methods – a case study on Cheyyar River Basin, Tamil Nadu, India
Vishnuvardan Narayanamurthi, Annadurai Ramasamy
Geocarto International (2022) Vol. 37, Iss. 26, pp. 14570-14595
Closed Access | Times Cited: 11
Application of integrated artificial intelligence geographical information system in managing water resources: A review
Michelle Sapitang, Hayana Dullah, Sarmad Dashti Latif, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 35, pp. 101236-101236
Closed Access | Times Cited: 1
Detection of water stress due to the mining of ferruginous quartzite in a subarctic region
Natalya Krutskikh
Environmental Earth Sciences (2024) Vol. 83, Iss. 10
Closed Access | Times Cited: 1
Examining changes in woody vegetation cover in a human-modified temperate savanna in Central Texas between 1996 and 2022 using remote sensing
Horia G. Olariu, Bradford P. Wilcox, Sorin Popescu
Frontiers in Forests and Global Change (2024) Vol. 7
Open Access | Times Cited: 1
Enhancing groundwater quality prediction through ensemble machine learning techniques
Hadi Karimi, Soheil Sahour, Matin Khanbeyki, et al.
Environmental Monitoring and Assessment (2024) Vol. 197, Iss. 1
Closed Access | Times Cited: 1
Remote sensing and geospatial approach: Optimizing groundwater exploration in semi-arid region, Nepal
Sandesh Dhakal, Rajan Subedi, Saroj Kandel, et al.
Heliyon (2024) Vol. 10, Iss. 10, pp. e31281-e31281
Open Access | Times Cited: 1
Effective Groundwater Quality Classification Using Enhanced Whale Optimization Algorithm with Ensemble Classifier
N Kiran Relangi, Aparna Chaparala, S. Radhika
International journal of intelligent engineering and systems (2022) Vol. 16, Iss. 1, pp. 214-223
Open Access | Times Cited: 6
Optimizing Drought Prediction with LSTM and SPEI: A Two-Tier Ensemble Framework with Meta-Learner and Weighted Sum Fusion
Mahima Gaurihar, Kaustubh Paonikar, Snehalata Dongre, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 3
Comparative Analysis of Deep Learning and Swarm-Optimized Random Forest for Groundwater Spring Potential Identification in Tropical Regions
Viet‐Ha Nhu, Pham Viet Hoa, Laura Melgar-García, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4761-4761
Open Access | Times Cited: 2
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