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:

Incorporating machine learning models and remote sensing to assess the spatial distribution of saturated hydraulic conductivity in a light-textured soil
Meisam Rezaei, Seyed Roohollah Mousavi, Asghar Rahmani, et al.
Computers and Electronics in Agriculture (2023) Vol. 209, pp. 107821-107821
Closed Access | Times Cited: 25

Showing 25 citing articles:

Towards efficient irrigation management at field scale using new technologies: A systematic literature review
Afaf Bounajra, Kamal El Guemmat, Khalifa Mansouri, et al.
Agricultural Water Management (2024) Vol. 295, pp. 108758-108758
Open Access | Times Cited: 10

Spatial prediction of winter wheat yield gap: agro-climatic model and machine learning approaches
Seyed Roohollah Mousavi, Vahid Alah Jahandideh Mahjen Abadi, Bahman Khoshru, et al.
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 8

Exploring the driving forces and digital mapping of soil biological properties in semi-arid regions
Ashraf Esmaeilizad, Rasoul Shokri, Naser Davatgar, et al.
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108831-108831
Closed Access | Times Cited: 8

Analysis of Wheat-Yield Prediction Using Machine Learning Models under Climate Change Scenarios
Nida Iqbal, M. Umair Shahzad, El‐Sayed M. Sherif, et al.
Sustainability (2024) Vol. 16, Iss. 16, pp. 6976-6976
Open Access | Times Cited: 6

Different approaches to estimating soil properties for digital soil map integrated with machine learning and remote sensing techniques in a sub-humid ecosystem
Fikret SAYGIN, Hasan Aksoy, Pelin Alaboz, et al.
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 9
Closed Access | Times Cited: 13

The inversion of arid-coastal cultivated soil salinity using explainable machine learning and Sentinel-2
Pingping Jia, Junhua Zhang, Yanning Liang, et al.
Ecological Indicators (2024) Vol. 166, pp. 112364-112364
Open Access | Times Cited: 5

Improving hydraulic conductivity prediction of bentonite using machine learning with generative adversarial network-based data augmentation
Xiaoqiong Shi, Pengfei Zhang, Jiaxing Feng, et al.
Construction and Building Materials (2025) Vol. 462, pp. 139962-139962
Closed Access

Predicting and mapping soil saturated hydraulic conductivity in the Beni Moussa irrigated perimeter (Tadla Plain, Morocco) using Random Forest machine learning model
Atika Mouaddine, Ahmed Barakat, Soufiane Hajaj, et al.
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 2
Closed Access

Improved digital mapping of soil texture using the kernel temperature–vegetation dryness index and adaptive boosting
Xu Zhai, Yuzhong Liu, Yuanyuan Hong, et al.
Ecological Informatics (2025) Vol. 87, pp. 103083-103083
Open Access

Artificial intelligence in soil science
Alexandre M.J.‐C. Wadoux
European Journal of Soil Science (2025) Vol. 76, Iss. 2
Open Access

Spatial analysis of soil quality in agricultural land using machine learning and environmental covariates: A case study of Khuzestan Province
Kazem Rangzan, Zeinab Zaheri Abdehvand, Seyed Roohollah Mousavi, et al.
Soil and Tillage Research (2025) Vol. 252, pp. 106591-106591
Closed Access

Spatial dynamics of soil organic carbon and total nitrogen concerning aggregate size fractions using machine learning models
Parastoo Nazeri, Na Zhou, Abdolhossein Ayoubi, et al.
Soil Ecology Letters (2025) Vol. 7, Iss. 2
Closed Access

Application of Machine Learning Algorithms for Digital Mapping of Soil Salinity Levels and Assessing Their Spatial Transferability in Arid Regions
Magboul M. Sulieman, Fuat Kaya, Mohammed Abdalla Elsheikh, et al.
Land (2023) Vol. 12, Iss. 9, pp. 1680-1680
Open Access | Times Cited: 9

Digital soil mapping for soil types using machine learning approaches at the landscape scale in the arid regions of Iran
Shaho Manteghi, Kamran Moravej, Seyed Roohollah Mousavi, et al.
Advances in Space Research (2024) Vol. 74, Iss. 1, pp. 1-16
Open Access | Times Cited: 3

Incorporating forest canopy openness and environmental covariates in predicting soil organic carbon in oak forest
Su Lei, Mehdi Heydari, Maryam Sadat Jaafarzadeh, et al.
Soil and Tillage Research (2024) Vol. 244, pp. 106220-106220
Closed Access | Times Cited: 2

Evaluating Empirical, Field, and Laboratory Approaches for Estimating the Hydraulic Conductivity in the Kabul Aquifer
Alimahdi Mohammaddost, Zargham Mohammadi, Javad Hussainzadeh, et al.
Water (2024) Vol. 16, Iss. 15, pp. 2204-2204
Open Access | Times Cited: 2

Estimating Soil Hydraulic Parameters for Unsaturated Flow Using Physics-Informed Neural Networks
S. Vemuri, Tim Büchner, Joachim Denzler
Lecture notes in computer science (2024), pp. 338-351
Closed Access | Times Cited: 1

Pedotransfer functions development for modeling FC and PWP using Vis-NIR spectra combined with PLSR and regression models
Xizhen Zhu, Piaoyun Gu, Gang Wu
Vibrational Spectroscopy (2024) Vol. 135, pp. 103731-103731
Closed Access | Times Cited: 1

Applications of Machine Learning and Remote Sensing in Soil and Water Conservation
Kwang Jin Kim, Woo Hyeon Park, Yongchul Shin, et al.
Hydrology (2024) Vol. 11, Iss. 11, pp. 183-183
Open Access | Times Cited: 1

The elusive link between soil physics and catchment hydrology
Roy C. Sidle, Hirotaka Saito
Hydrological Processes (2024) Vol. 38, Iss. 6
Closed Access

Machine learning-based soil aggregation assessment under four scenarios in northwestern Iran
Parastoo Nazeri, Abdolhossein Ayoubi, Hossein Khademi, et al.
International Agrophysics (2024) Vol. 38, Iss. 3, pp. 293-310
Open Access

Application of Machine Learning Models to Identify Water Availability for Plant Based on Soil Permeability Prediction
Nur Ainun Harlin Jennie Pulungan, Makruf Nurudin, Adi Try Laksono
(2024)
Closed Access

Remote Sensing-Based Earth Climate Detection in Geoscience Model with Artificial Intelligence Application
Aarti Amod Agarkar, Mandar Karyakarte, Gajanan H Chavhan, et al.
Remote Sensing in Earth Systems Sciences (2024) Vol. 7, Iss. 4, pp. 569-581
Closed Access

Enhancing Flow Direction in Geothermal Fields Using Sentinel-1 Data for Sustainability Water Management
Widya Utama, Ira Mutiara Anjasmara, Hepi Hapsari Handayani, et al.
BIO Web of Conferences (2024) Vol. 144, pp. 03005-03005
Open Access

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