OpenAlex Citation Counts

OpenAlex Citations Logo

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 potential mapping in the Central Highlands of Vietnam using spatially explicit machine learning
Tran Xuan Bien, Abolfazl Jaafari, Tran Van Phong, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 1, pp. 131-146
Closed Access | Times Cited: 18

Showing 18 citing articles:

Performance evaluation of convolutional neural network and vision transformer models for groundwater potential mapping
Behnam Sadeghi, Ali Asghar Alesheikh, Ali Jafari, et al.
Journal of Hydrology (2025), pp. 132840-132840
Closed Access

Soft computing approaches for predicting boron contamination in arid sandstone groundwater
Mohammed Benaafi, Mojeed O. Oyedeji, Nezar M. Alyazidi
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access

A New Approach Based on Deep Neural Networks and Multisource Geospatial Data for Spatial Prediction of Groundwater Spring Potential
Viet‐Ha Nhu, Duong Cao Phan, Pham Viet Hoa, et al.
IEEE Access (2024) Vol. 12, pp. 26344-26363
Open Access | Times Cited: 3

A Survey of Machine and Deep Learning Applications in the Assessment of Water Quality
Mourade Azrour, Souhayla Dargaoui, Jamal Mabrouki, et al.
World sustainability series (2024), pp. 471-483
Closed Access | Times Cited: 3

Exploring deep learning models for roadside landslide prediction: Insights and implications from comparative analysis
Tiep Nguyen Viet, Dam Duc Nguyen, Manh Nguyen Duc, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024), pp. 103741-103741
Closed Access | Times Cited: 3

Integrated machine learning and remote sensing for groundwater potential mapping in the Mekong Delta in Vietnam
Huu Duy Nguyen, Quoc‐Huy Nguyen, Dinh Kha Dang, et al.
Acta Geophysica (2024)
Closed Access | Times Cited: 2

Performance of Naïve Bayes Tree with ensemble learner techniques for groundwater potential mapping
Tran Van Phong, Binh Thai Pham
Physics and Chemistry of the Earth Parts A/B/C (2023) Vol. 132, pp. 103503-103503
Closed Access | Times Cited: 4

Groundwater potential zoning using Logistics Model Trees based novel ensemble machine learning model
Bien Tran Xuan, Trinh Pham The, Duong Luu Thuy, et al.
VIETNAM JOURNAL OF EARTH SCIENCES (2024)
Open Access | Times Cited: 1

Predicting landslide and debris flow susceptibility using Logitboost alternating decision trees and ensemble techniques
Cong Quan Nguyen, Anh Nguyen, Hieu Tran, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 1

Mapping of soil erosion susceptibility using advanced machine learning models at Nghe An, Vietnam
Chien Quyet Nguyen, Tuyen Thi Tran, Trang Thanh Thi Nguyen, et al.
Journal of Hydroinformatics (2023) Vol. 26, Iss. 1, pp. 72-87
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

Spatial Prediction of Landslide Susceptibility using Various Machine Learning Based Binary Classification Methods
A. D. Nguyen, Trần Quốc Cường, Nguyễn Công Quân, et al.
Journal of the Geological Society of India (2024) Vol. 100, Iss. 10, pp. 1477-1492
Closed Access

Modeling gully initiation by two codeless nonlinear methods: A case study in a small watershed on the Tibetan Plateau
Jianjun Li, Yulan Chen, Juying Jiao, et al.
International Soil and Water Conservation Research (2024)
Open Access

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

Delineation of Groundwater potential zone using Geospatial and AHP techniques in Ken River Basin (KRB) in Central India
Chandra Shekhar Dwivedi, Amarjeet Kumar Mahato, Arvind Chandra Pandey, et al.
Discover Water (2024) Vol. 4, Iss. 1
Open Access

A comparative and coupled study of the application of Dempster-Shafer, fuzzy overlay and FAHP methods for groundwater potential mapping in a fractured medium of a mine site
Mohsen Safari, Faramarz Doulati Ardejani, Soroush Maghsoudy
Earth Science Informatics (2023) Vol. 16, Iss. 2, pp. 1741-1764
Closed Access | Times Cited: 1

Can CATPCA be utilized for spatial modeling? a case of the generation susceptibility of gully head in a watershed
Jianjun Li, Haolin Wang, Yulan Chen, et al.
CATENA (2023) Vol. 232, pp. 107456-107456
Closed Access | Times Cited: 1

Page 1

Scroll to top