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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 26-50 of 122 citing articles:

GIS-Based Evaluation of Landslide Susceptibility Models Using Certainty Factors and Functional Trees-Based Ensemble Techniques
Xia Zhao, Wei Chen
Applied Sciences (2019) Vol. 10, Iss. 1, pp. 16-16
Open Access | Times Cited: 90
Delineating of groundwater potential zones based on remote sensing, GIS and analytical hierarchical process: a case of Waddai, eastern Chad
Al-Djazouli Ouchar Mahamat Hidjazi, Karim Elmorabiti, Abdelmejid Rahimi, et al.
GeoJournal (2020) Vol. 86, Iss. 4, pp. 1881-1894
Closed Access | Times Cited: 90
Novel hybrids of adaptive neuro-fuzzy inference system (ANFIS) with several metaheuristic algorithms for spatial susceptibility assessment of seismic-induced landslide
Hossein Moayedi, Mohammad Mehrabi, Bahareh Kalantar, et al.
Geomatics Natural Hazards and Risk (2019) Vol. 10, Iss. 1, pp. 1879-1911
Open Access | Times Cited: 85
A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping
Dieu Tien Bui, Ataollah Shirzadi, Kamran Chapi, et al.
Water (2019) Vol. 11, Iss. 10, pp. 2013-2013
Open Access | Times Cited: 77
Hybrid Computational Intelligence Methods for Landslide Susceptibility Mapping
Guirong Wang, Xinxiang Lei, Wei Chen, et al.
Symmetry (2020) Vol. 12, Iss. 3, pp. 325-325
Open Access | Times Cited: 77
Autumn Crop Yield Prediction using Data-Driven Approaches:- Support Vector Machines, Random Forest, and Deep Neural Network Methods
Chaoya Dang, Ying Liu, Hui Yue, et al.
Canadian Journal of Remote Sensing (2020) Vol. 47, Iss. 2, pp. 162-181
Closed Access | Times Cited: 74
Hydrogeochemical characterization based water resources vulnerability assessment in India's first Ramsar site of Chilka lake
Dipankar Ruidas, Subodh Chandra Pal, Asish Saha, et al.
Marine Pollution Bulletin (2022) Vol. 184, pp. 114107-114107
Closed Access | Times Cited: 48
GIS-based landslide susceptibility mapping using hybrid integration approaches of fractal dimension with index of entropy and support vector machine
Tingyu Zhang, Ling Han, Heng Zhang, et al.
Journal of Mountain Science (2019) Vol. 16, Iss. 6, pp. 1275-1288
Closed Access | Times Cited: 70
Spatial Prediction of Landslides Using Hybrid Integration of Artificial Intelligence Algorithms with Frequency Ratio and Index of Entropy in Nanzheng County, China
Wei Chen, Limin Fan, Cheng Li, et al.
Applied Sciences (2019) Vol. 10, Iss. 1, pp. 29-29
Open Access | Times Cited: 66
Spatial Prediction of Landslide Susceptibility Based on GIS and Discriminant Functions
Guirong Wang, Xi Chen, Wei Chen
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 3, pp. 144-144
Open Access | Times Cited: 62
Decision Tree-Based Data Mining and Rule Induction for Identifying High Quality Groundwater Zones to Water Supply Management: a Novel Hybrid Use of Data Mining and GIS
Mehrdad Jeihouni, Ara Toomanian, Ali Mansourian
Water Resources Management (2019) Vol. 34, Iss. 1, pp. 139-154
Open Access | Times Cited: 56
Application of Support Vector Regression and Metaheuristic Optimization Algorithms for Groundwater Potential Mapping in Gangneung-si, South Korea
Muhammad Fulki Fadhillah, Saro Lee, Chang-Wook Lee, et al.
Remote Sensing (2021) Vol. 13, Iss. 6, pp. 1196-1196
Open Access | Times Cited: 45
Spatial prediction of groundwater potentiality using machine learning methods with Grey Wolf and Sparrow Search Algorithms
Rui Liu, Gulin Li, Liangshuai Wei, et al.
Journal of Hydrology (2022) Vol. 610, pp. 127977-127977
Closed Access | Times Cited: 38
Mapping groundwater potential zones in Kanchanaburi Province, Thailand by integrating of analytic hierarchy process, frequency ratio, and random forest
Nguyễn Ngọc Thành, Srilert Chotpantarat, Trung Hieu Nguyen, et al.
Ecological Indicators (2022) Vol. 145, pp. 109591-109591
Open Access | Times Cited: 35
Mapping of groundwater productivity potential with machine learning algorithms: A case study in the provincial capital of Baluchistan, Pakistan
Umair Rasool, Xinan Yin, Zongxue Xu, et al.
Chemosphere (2022) Vol. 303, pp. 135265-135265
Closed Access | Times Cited: 32
Groundwater potential assessment in the Blue Nile River catchment, Ethiopia, using geospatial and multi-criteria decision-making techniques
Yohanis Tamesgen, Abunu Atlabachew Eshete, Muralitharan Jothimani
Heliyon (2023) Vol. 9, Iss. 6, pp. e17616-e17616
Open Access | Times Cited: 20
Landslide Susceptibility Mapping for the Muchuan County (China): A Comparison Between Bivariate Statistical Models (WoE, EBF, and IoE) and Their Ensembles with Logistic Regression
Renwei Li, Nianqin Wang
Symmetry (2019) Vol. 11, Iss. 6, pp. 762-762
Open Access | Times Cited: 53
A Novel Intelligence Approach of a Sequential Minimal Optimization-Based Support Vector Machine for Landslide Susceptibility Mapping
Binh Thai Pham, Haï-Bang Ly, Wei Chen, et al.
Sustainability (2019) Vol. 11, Iss. 22, pp. 6323-6323
Open Access | Times Cited: 47
Hybrid Computational Intelligence Models for Improvement Gully Erosion Assessment
Alireza Arabameri, Wei Chen, Luigi Lombardo, et al.
Remote Sensing (2020) Vol. 12, Iss. 1, pp. 140-140
Open Access | Times Cited: 42
Groundwater-Potential Mapping Using a Self-Learning Bayesian Network Model: A Comparison among Metaheuristic Algorithms
Sadegh Karimi-Rizvandi, Hamid Valipoori Goodarzi, Javad Hatami Afkoueieh, et al.
Water (2021) Vol. 13, Iss. 5, pp. 658-658
Open Access | Times Cited: 41
Groundwater spring potential assessment using new ensemble data mining techniques
Saleh Yousefi, Nitheshnirmal Sãdhasivam, Hamid Reza Pourghasemi, et al.
Measurement (2020) Vol. 157, pp. 107652-107652
Closed Access | Times Cited: 40
Groundwater Potential Mapping Using GIS‐Based Hybrid Artificial Intelligence Methods
Tran Van Phong, Binh Thai Pham, Phan Trọng Trịnh, et al.
Ground Water (2021) Vol. 59, Iss. 5, pp. 745-760
Closed Access | Times Cited: 35
Quadratic Discriminant Analysis Based Ensemble Machine Learning Models for Groundwater Potential Modeling and Mapping
Duong Hai Ha, Phong Tung Nguyen, Romulus Costache, et al.
Water Resources Management (2021) Vol. 35, Iss. 13, pp. 4415-4433
Closed Access | Times Cited: 33
Combining high resolution input and stacking ensemble machine learning algorithms for developing robust groundwater potentiality models in Bisha watershed, Saudi Arabia
Javed Mallick, Swapan Talukdar, Mohd. Ahmed
Applied Water Science (2022) Vol. 12, Iss. 4
Open Access | Times Cited: 26
Assessment of environmental geological disaster susceptibility under a multimodel comparison to aid in the sustainable development of the regional economy
Cui Wang, Xuedong Wang, Heyong Zhang, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 3, pp. 6573-6591
Closed Access | Times Cited: 26

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