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:

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

Showing 11 citing articles:

Effects of DEM resolution and application of solely DEM-derived indicators on groundwater potential mapping in the mountainous area
Hanxiang Xiong, Shilong Yang, Jiayao Tan, et al.
Journal of Hydrology (2024) Vol. 636, pp. 131349-131349
Closed Access | Times Cited: 3

Sample size effects on landslide susceptibility models: A comparative study of heuristic, statistical, machine learning, deep learning and ensemble learning models with SHAP analysis
Shilong Yang, Jiayao Tan, Danyuan Luo, et al.
Computers & Geosciences (2024), pp. 105723-105723
Closed Access | Times Cited: 2

A machine learning approach to site groundwater contamination monitoring wells
Víctor Gómez‐Escalonilla, Esperanza Montero-González, Silvia Díaz-Alcaide, et al.
Applied Water Science (2024) Vol. 14, Iss. 12
Open Access | Times Cited: 2

Mapping and modeling groundwater potential using machine learning, deep learning and ensemble learning models in the Saiss basin (Fez-Meknes Region, Morocco)
Hind Ragragui, My Hachem Aouragh, Abdellah El Hmaidi, et al.
Groundwater for Sustainable Development (2024) Vol. 26, pp. 101281-101281
Closed Access | Times Cited: 1

GROUNDWATER POTENTIAL ASSESSMENT IN GIA LAI PROVINCE (VIETNAM) USING MACHINE LEARNING, REMOTE SENSING AND GIS
Huu Duy Nguyen, Van Trong Giang, Quang-Hai TRUONG, et al.
Geographia Technica (2024) Vol. 19, Iss. 2/2024, pp. 13-32
Open Access

Credit Rating Prediction Based on WOA-Cross-Validation-LightGBM
Zichang Sun
2022 4th International Conference on Communications, Information System and Computer Engineering (CISCE) (2024) Vol. 20, pp. 1163-1170
Closed Access

Enhancing spatial prediction of groundwater-prone areas through optimization of a boosting algorithm with bio-inspired metaheuristic algorithms
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Sani I. Abba, et al.
Applied Water Science (2024) Vol. 14, Iss. 11
Open Access

Groundwater Potential Mapping Using Random Forest and Extreme Gradient Boosting Algorithms
Wisdom Hidayat Agung Nugroho, Nurwatik Nurwatik, Liadira Kusuma Widya
IOP Conference Series Earth and Environmental Science (2024) Vol. 1418, Iss. 1, pp. 012035-012035
Open Access

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