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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:

Assessment of soil CO2 and NO fluxes in a semi-arid region using machine learning approaches
Morad Mirzaei, Manouchehr Gorji Anari, Eugenio Díaz‐Pinés, et al.
Journal of Arid Environments (2023) Vol. 211, pp. 104947-104947
Open Access | Times Cited: 11

Showing 11 citing articles:

Assessing the impacts of climate change on water resource management and crop patterns in Eastern Iran
Fatemeh Rastegaripour, Abolfazl Tavassoli, Mahdi Babaeian, et al.
Agricultural Water Management (2024) Vol. 295, pp. 108774-108774
Open Access | Times Cited: 7
Assessment of Advanced Machine and Deep Learning Approaches for Predicting CO2 Emissions from Agricultural Lands: Insights Across Diverse Agroclimatic Zones
Endre Harsányi, Morad Mirzaei, Sana Arshad, et al.
Earth Systems and Environment (2024) Vol. 8, Iss. 4, pp. 1109-1125
Open Access | Times Cited: 7
Analysis of Energy Use and Environmental Impacts of Pistachio (Pistacia vera L.) in Conventional and Bio-friendly Production Systems
Mahdi Babaeian, Abolfazl Tavassoli, Fatemeh Rastegaripour, et al.
Deleted Journal (2025) Vol. 67, Iss. 1
Open Access
A machine learning model using the snapshot ensemble approach for soil respiration prediction in an experimental Oak Forest
Syeda Nyma Ferdous, Jayendra P. Ahire, Richard Bergman, et al.
Ecological Informatics (2025) Vol. 85, pp. 102991-102991
Open Access
Evaluating machine learning models for greenhouse gas emissions prediction in diversified semi‐arid cropping systems
Prakriti Bista, Sarbagya Ratna Shakya, Pramod Acharya, et al.
Soil Science Society of America Journal (2025) Vol. 89, Iss. 2
Open Access
Machine Learning for Environmental Sustainability
Syeda Nyma Ferdous
(2024)
Open Access | Times Cited: 1
Tree-Structured Parzan Estimator–Machine Learning–Ordinary Kriging: An Integration Method for Soil Ammonia Spatial Prediction in the Typical Cropland of Chinese Yellow River Delta with Sentinel-2 Remote Sensing Image and Air Quality Data
Yingqiang Song, Mingzhu Ye, Zheng Zhao, et al.
Remote Sensing (2023) Vol. 15, Iss. 17, pp. 4268-4268
Open Access | Times Cited: 2
Application of ML in Agriculture Field With Its Enhancement Methods
S. P. Agrawal, Sonika Bhardwaj, Nandini Sharma, et al.
2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT) (2024) Vol. 6, pp. 606-611
Closed Access
A Machine Learning Model Using Snapshot Ensemble Approach for Soil Respiration Prediction for an Experimental Oak Forest
Syeda Nyma Ferdous, Jayendra P. Ahire, Richard N. Bergman, et al.
(2024)
Closed Access
Can soluble organic fertilizers and/or manure reach the agronomic and environmental performance of synthetic fertilizers in drip‐fertigated crops?
Jerónimo Salinas, Guillermo Guardia, Alba Monistrol, et al.
Soil Use and Management (2024) Vol. 40, Iss. 4
Open Access
Forecasting Carbon Dioxide Emission in Thailand Using Machine Learning Techniques
Siriporn Chimphlee, Witcha Chimphlee
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) (2023) Vol. 11, Iss. 3
Open Access
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