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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 18 citing articles:

High-resolution freshwater dissolved calcium and pH data layers for Canada and the United States
Andrew J. Guerin, Andréa M. Weise, Jackson W. F. Chu, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 7
An explainable integrated machine learning model for mapping soil erosion by wind and water in a catchment with three desiccated lakes
Hamid Gholami, Mehdi Jalali, Marzieh Rezaei, et al.
Aeolian Research (2024) Vol. 67-69, pp. 100924-100924
Closed Access | Times Cited: 5
Research on EV Crawler-Type Soil Sample Robot Using GNSS Information
Liangliang Yang, Chiaki Tomioka, Yohei HOSHINO, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 604-604
Open Access
National-scale assessment of salt-affected areas in Portugal: Learning from legacy data to establish a framework for comprehensive monitoring and management
Tiago B. Ramos, Ana Horta, Leonardo Azevedo, et al.
CATENA (2025) Vol. 250, pp. 108773-108773
Open Access
Looking for Optimal Maps of Soil Properties at the Regional Scale
Jesús Barrena-González, Joaquín Francisco Lavado Contador, Blaž Repe, et al.
International Journal of Environmental Research (2024) Vol. 18, Iss. 4
Open Access | Times Cited: 3
Predictive Modeling of Casting Sand Composition Using Machine Learning for Optimizing Shear Strength
Devesh Bora, Raghubeer Singh Bangari, Navneet Joshi, et al.
SSRN Electronic Journal (2025)
Closed Access
Geochemical Characterization of Soil and Water in an Agricultural Area for the Sustainable Use of Natural Resources
Ana Cristina González-Valoys, T. Chong, Jonatha Arrocha, et al.
Agriculture (2025) Vol. 15, Iss. 7, pp. 702-702
Open Access
Flood-Sediment dynamics in small watersheds of the Loess Plateau: Insights from hysteresis analysis, sediment connectivity, and machine learning
Yushan Zhang, Guodong Jia, Xinxiao Yu
Journal of Hydrology (2025), pp. 133219-133219
Closed Access
Digital mapping of soil inorganic carbon content and density in soil profiles after ‘Grain for Green’ program
Luping Ye, Rui Zhang, Xiaoyuan Lin, et al.
International Soil and Water Conservation Research (2025)
Open Access
Assessing the declining trend in soil erodibility across China: A comparison of conventional and digital K-factor maps
Zhiyuan Tian, Yan Zhao, Longxi Cao, et al.
International Soil and Water Conservation Research (2024) Vol. 13, Iss. 1, pp. 15-26
Open Access | Times Cited: 3
Soil Data Cube and Artificial Intelligence Techniques for Generating National-Scale Topsoil Thematic Maps: A Case Study in Lithuanian Croplands
Nikiforos Samarinas, Nikolaos Tsakiridis, Stylianos Kokkas, et al.
Remote Sensing (2023) Vol. 15, Iss. 22, pp. 5304-5304
Open Access | Times Cited: 7
Finer soil properties mapping framework for broad-scale area: A case study of Hubei Province, China
Ruizhen Wang, Weitao Chen, Hao Chen, et al.
Geoderma (2024) Vol. 449, pp. 117023-117023
Open Access | Times Cited: 2
Spatiotemporal variation and GeoDetector analysis of NDVI at the northern foothills of the Yinshan Mountains in Inner Mongolia over the past 40 years
Bo Yao, Xiangwen Gong, Yulin Li, et al.
Heliyon (2024) Vol. 10, Iss. 20, pp. e39309-e39309
Open Access | Times Cited: 2
A novel global average temperature prediction model——based on GM-ARIMA combination model
Xiaoxin Chen, Zhansi Jiang, Hao Cheng, et al.
Earth Science Informatics (2023) Vol. 17, Iss. 1, pp. 853-866
Closed Access | Times Cited: 6
Groundwater salinity modeling and mapping using machine learning approaches: a case study in Sidi Okba region, Algeria
Samir Boudibi, Haroun Fadlaoui, Fatima Hiouani, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 36, pp. 48955-48971
Closed Access | Times Cited: 1
A geographically weighted neural network model for digital soil mapping of heavy metal copper in coastal cities
Yun Zeng, Tiezhu Shi, Qian Liu, et al.
Journal of Hazardous Materials (2024) Vol. 480, pp. 136285-136285
Open Access | Times Cited: 1
Combining Machine Learning Models and X-Ray Fluorescence Spectroscopy for Digital Soil Mapping in Highly Geologically Variable Environments
Ícaro Barreto Souza, Thomas Vincent Gloaguen, Elpídio Inácio Fernandes Filho, et al.
(2024)
Closed Access
Deconvolving geochemical micro-spatial variability of an unconsolidated aquifer through chemometric and geostatistical techniques
Chin Yik Lin, Su Shiung Lam, Hijaz Kamal Hasnan, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 6
Closed Access
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