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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:

Groundwater spring potential mapping using population-based evolutionary algorithms and data mining methods
Wei Chen, Paraskevas Tsangaratos, Ioanna Ilia, et al.
The Science of The Total Environment (2019) Vol. 684, pp. 31-49
Closed Access | Times Cited: 122

Showing 51-75 of 122 citing articles:

GIS-based multi-criteria approach to delineate groundwater prospect zone and its sensitivity analysis
Mukesh Kumar, Sudhir Kumar Singh, Arnab Kundu, et al.
Applied Water Science (2022) Vol. 12, Iss. 4
Open Access | Times Cited: 25
Groundwater spring potential zonation using AHP and fuzzy-AHP in Eastern Himalayan region: Papum Pare district, Arunachal Pradesh, India
Prem Ranjan, Pankaj Kumar Pandey, Vanita Pandey
Environmental Science and Pollution Research (2023) Vol. 31, Iss. 7, pp. 10317-10333
Closed Access | Times Cited: 14
Groundwater spring potential mapping: Assessment the contribution of hydrogeological factors
Rui Zhao, Chenchen Fan, Alireza Arabameri, et al.
Advances in Space Research (2024) Vol. 74, Iss. 1, pp. 48-64
Closed Access | Times Cited: 6
Hybrid Integration of Bagging and Decision Tree Algorithms for Landslide Susceptibility Mapping
Qi Zhang, Zixin Ning, Xiaohu Ding, et al.
Water (2024) Vol. 16, Iss. 5, pp. 657-657
Open Access | Times Cited: 5
Water Resources Management Through Flood Spreading Project Suitability Mapping Using Frequency Ratio, k-nearest Neighbours, and Random Forest Algorithms
Seyed Amir Naghibi, Mehdi Vafakhah, Hossein Hashemi, et al.
Natural Resources Research (2019) Vol. 29, Iss. 3, pp. 1915-1933
Closed Access | Times Cited: 39
Gully Head-Cut Distribution Modeling Using Machine Learning Methods—A Case Study of N.W. Iran
Alireza Arabameri, Wei Chen, Thomas Blaschke, et al.
Water (2019) Vol. 12, Iss. 1, pp. 16-16
Open Access | Times Cited: 39
Landslide susceptibility evaluating using artificial intelligence method in the Youfang district (China)
Haoyuan Hong, Junzhi Liu, A‐Xing Zhu
Environmental Earth Sciences (2019) Vol. 78, Iss. 15
Closed Access | Times Cited: 36
Assessing, mapping, and optimizing the locations of sediment control check dams construction
Hamid Reza Pourghasemi, Saleh Yousefi, Nitheshnirmal Sãdhasivam, et al.
The Science of The Total Environment (2020) Vol. 739, pp. 139954-139954
Closed Access | Times Cited: 35
A critical appraisal of the status and hydrogeochemical characteristics of freshwater springs in Kashmir Valley
Sami Ullah Bhat, Shahid Ahmad Dar, Aadil Hamid
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 22
Water quality of springs and lakes in the Kumaon Lesser Himalayan Region of Uttarakhand, India
Monika Chhimwal, Simran Kaur, Rajeev Srivastava, et al.
Journal of Water and Health (2022) Vol. 20, Iss. 4, pp. 737-754
Open Access | Times Cited: 21
A novel hybrid approach to flood susceptibility assessment based on machine learning and land use change. Case study: a river watershed in Vietnam
Huu Duy Nguyen, Bui Quang-Thanh, Quoc‐Huy Nguyen, et al.
Hydrological Sciences Journal (2022) Vol. 67, Iss. 7, pp. 1065-1083
Closed Access | Times Cited: 21
Evaluation of physicochemical and microbiological parameters, and their correlation in Himalayan Spring Water Systems: A case study of District Kulgam of Kashmir Valley, India, Western Himalaya
Fahim Un Nisa, Rashid Umar
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 4
Closed Access | Times Cited: 13
Appraisal of health risks associated with exposure of fluoride and nitrate contaminated springs in the Doda Kishtwar Ramban (DKR) region of Jammu and Kashmir, India
Ajay Kumar Taloor, Swati Sharma, Rayees Ahmad Pir, et al.
Journal of Geochemical Exploration (2023) Vol. 257, pp. 107380-107380
Closed Access | Times Cited: 12
Spatial assessment of termites interaction with groundwater potential conditioning parameters in Keffi, Nigeria
Jamilu Bala Ahmed, Biswajeet Pradhan
Journal of Hydrology (2019) Vol. 578, pp. 124012-124012
Open Access | Times Cited: 35
Novel hybrid models combining meta-heuristic algorithms with support vector regression (SVR) for groundwater potential mapping
A’kif Al-Fugara, Mohammad Ahmadlou, Rania Shatnawi, et al.
Geocarto International (2020) Vol. 37, Iss. 9, pp. 2627-2646
Closed Access | Times Cited: 32
Combination of Metaheuristic Optimization Algorithms and Machine Learning Methods for Groundwater Potential Mapping
Saad AlAyyash, A’kif Al-Fugara, Rania Shatnawi, et al.
Sustainability (2023) Vol. 15, Iss. 3, pp. 2499-2499
Open Access | Times Cited: 10
Groundwater potential assessment using GIS-based ensemble learning models in Guanzhong Basin, China
Zitao Wang, Jianping Wang, Dongmei Yu, et al.
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 6
Closed Access | Times Cited: 10
Optimizing groundwater potential assessment: uncertainty reduction through sample balancing and enhanced hybrid modeling
Rui Liu, Juncheng Gou, Jialiang Han, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
Modelling of Groundwater Potential Zones in Semi-Arid Areas Using Unmanned Aerial Vehicles, Geographic Information Systems, and Multi-Criteria Decision Making
Michel Constant Njock, Marthe Mbond Ariane Gweth, André Michel Pouth Nkoma, et al.
Hydrology (2025) Vol. 12, Iss. 3, pp. 58-58
Open Access
The Predictive Capability of a Novel Ensemble Tree-Based Algorithm for Assessing Groundwater Potential
Soyoung Park, Jinsoo Kim
Sustainability (2021) Vol. 13, Iss. 5, pp. 2459-2459
Open Access | Times Cited: 23
K-Fold and State-of-the-Art Metaheuristic Machine Learning Approaches for Groundwater Potential Modelling
Alireza Arabameri, Aman Arora, Subodh Chandra Pal, et al.
Water Resources Management (2021) Vol. 35, Iss. 6, pp. 1837-1869
Closed Access | Times Cited: 21
Spring Water Quality Assessment and Its Spatial Variability in the Himalayan Region: Insights from Rudraprayag District, India
Atul Kumar, Ankur Yadav, Biplab Roy
Proceedings of the National Academy of Sciences India Section A Physical Sciences (2025)
Closed Access
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: 14
Slope Stability Monitoring Using Novel Remote Sensing Based Fuzzy Logic
Hossein Moayedi, Dieu Tien Bui, Loke Kok Foong
Sensors (2019) Vol. 19, Iss. 21, pp. 4636-4636
Open Access | Times Cited: 21
Radon potential mapping in Jangsu-gun, South Korea using probabilistic and deep learning algorithms
Fatemeh Rezaie, Mahdi Panahi, Jongchun Lee, et al.
Environmental Pollution (2021) Vol. 292, pp. 118385-118385
Closed Access | Times Cited: 16

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