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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:

Machine learning for predicting greenhouse gas emissions from agricultural soils
Abderrachid Hamrani, Abdolhamid Akbarzadeh, Chandra A. Madramootoo
The Science of The Total Environment (2020) Vol. 741, pp. 140338-140338
Closed Access | Times Cited: 179

Showing 1-25 of 179 citing articles:

Electricity production based forecasting of greenhouse gas emissions in Turkey with deep learning, support vector machine and artificial neural network algorithms
Melahat Sevgül Bakay, Ümit Ağbulut
Journal of Cleaner Production (2020) Vol. 285, pp. 125324-125324
Closed Access | Times Cited: 200
Assessment for crop water stress with infrared thermal imagery in precision agriculture: A review and future prospects for deep learning applications
Zheng Zhou, Yaqoob Majeed, Geraldine Diverres Naranjo, et al.
Computers and Electronics in Agriculture (2021) Vol. 182, pp. 106019-106019
Closed Access | Times Cited: 152
Forecasting of future greenhouse gas emission trajectory for India using energy and economic indexes with various metaheuristic algorithms
Hüseyin Bakır, Ümit Ağbulut, Ali Etem Gürel, et al.
Journal of Cleaner Production (2022) Vol. 360, pp. 131946-131946
Closed Access | Times Cited: 129
A mini-review of machine learning in big data analytics: Applications, challenges, and prospects
Isaac Kofi Nti, Juanita Ahia Quarcoo, Justice Aning, et al.
Big Data Mining and Analytics (2022) Vol. 5, Iss. 2, pp. 81-97
Open Access | Times Cited: 92
A Review of Climate-Smart Agriculture: Recent Advancements, Challenges, and Future Directions
Junfang Zhao, Dongsheng Liu, Ruixi Huang
Sustainability (2023) Vol. 15, Iss. 4, pp. 3404-3404
Open Access | Times Cited: 64
Prediction modelling framework comparative analysis of dissolved oxygen concentration variations using support vector regression coupled with multiple feature engineering and optimization methods: A case study in China
Xizhi Nong, Laifei Cheng, Lihua Chen, et al.
Ecological Indicators (2023) Vol. 146, pp. 109845-109845
Open Access | Times Cited: 60
Sustainable AI-based production agriculture: Exploring AI applications and implications in agricultural practices
A.A. Mana, A. Allouhi, Abderrachid Hamrani, et al.
Smart Agricultural Technology (2024) Vol. 7, pp. 100416-100416
Open Access | Times Cited: 47
Artificial intelligence-based decision support systems in smart agriculture: Bibliometric analysis for operational insights and future directions
Arslan Yousaf, Vahid Kayvanfar, Annamaria Mazzoni, et al.
Frontiers in Sustainable Food Systems (2023) Vol. 6
Open Access | Times Cited: 40
Estimation methods of wetland carbon sink and factors influencing wetland carbon cycle: a review
Lixin Li, Haibo Xu, Qian Zhang, et al.
Carbon Research (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 25
Catalyzing net-zero carbon strategies: Enhancing CO2 flux Prediction from underground coal fires using optimized machine learning models
Hemeng Zhang, Pengcheng Wang, Mohammad Rahimi, et al.
Journal of Cleaner Production (2024) Vol. 441, pp. 141043-141043
Closed Access | Times Cited: 23
Predicting Chlorophyll-a Concentrations in the World’s Largest Lakes Using Kolmogorov-Arnold Networks
Mohammad Javad Saravani, Roohollah Noori, Changhyun Jun, et al.
Environmental Science & Technology (2025)
Closed Access | Times Cited: 3
Predicting carbon dioxide emissions using deep learning and Ninja metaheuristic optimization algorithm
Anis Ben Ghorbal, Azedine Grine, Ibrahim Elbatal, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
From Smart Farming towards Unmanned Farms: A New Mode of Agricultural Production
Tan Wang, Xianbao Xu, Cong Wang, et al.
Agriculture (2021) Vol. 11, Iss. 2, pp. 145-145
Open Access | Times Cited: 92
Anomaly detection based on machine learning in IoT-based vertical plant wall for indoor climate control
Yu Liu, Zhibo Pang, Magnus Karlsson, et al.
Building and Environment (2020) Vol. 183, pp. 107212-107212
Open Access | Times Cited: 85
Big Data and the United Nations Sustainable Development Goals (UN SDGs) at a Glance
Hossein Hassani, Xu Huang, Steve MacFeely, et al.
Big Data and Cognitive Computing (2021) Vol. 5, Iss. 3, pp. 28-28
Open Access | Times Cited: 73
The Applicability of Big Data in Climate Change Research: The Importance of System of Systems Thinking
Viktor Sebestyén, Tímea Czvetkó, János Abonyi
Frontiers in Environmental Science (2021) Vol. 9
Open Access | Times Cited: 67
A Hybrid Model with Applying Machine Learning Algorithms and Optimization Model to Forecast Greenhouse Gas Emissions with Energy Market Data
Majid Emami Javanmard, S.F. Ghaderi
Sustainable Cities and Society (2022) Vol. 82, pp. 103886-103886
Closed Access | Times Cited: 56
DeepFeature: feature selection in nonimage data using convolutional neural network
Alok Sharma, Artem Lysenko, Keith A. Boroevich, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 55
Coupling machine learning and weather forecast to predict farmland flood disaster: A case study in Yangtze River basin
Zewei Jiang, Shihong Yang, Zhenyang Liu, et al.
Environmental Modelling & Software (2022) Vol. 155, pp. 105436-105436
Closed Access | Times Cited: 44
Real-time image-based air quality estimation by deep learning neural networks
Pu-Yun Kow, I-Wen Hsia, Li‐Chiu Chang, et al.
Journal of Environmental Management (2022) Vol. 307, pp. 114560-114560
Closed Access | Times Cited: 39
Ensemble machine learning for modeling greenhouse gas emissions at different time scales from irrigated paddy fields
Zewei Jiang, Shihong Yang, Pete Smith, et al.
Field Crops Research (2023) Vol. 292, pp. 108821-108821
Closed Access | Times Cited: 29
A novel hybrid machine learning model for prediction of CO2 using socio-economic and energy attributes for climate change monitoring and mitigation policies
Sachin Kumar
Ecological Informatics (2023) Vol. 77, pp. 102253-102253
Closed Access | Times Cited: 24
Forecasting Carbon Dioxide Emissions of Light-Duty Vehicles with Different Machine Learning Algorithms
Yuvaraj Natarajan, Girish Wadhwa, K. R. Sri Preethaa, et al.
Electronics (2023) Vol. 12, Iss. 10, pp. 2288-2288
Open Access | Times Cited: 23
Tree-structured parzen estimator optimized-automated machine learning assisted by meta–analysis for predicting biochar–driven N2O mitigation effect in constructed wetlands
Bi–Ni Jiang, Yingying Zhang, Zhiyong Zhang, et al.
Journal of Environmental Management (2024) Vol. 354, pp. 120335-120335
Closed Access | Times Cited: 13
Impact of Agricultural Activities on Climate Change: A Review of Greenhouse Gas Emission Patterns in Field Crop Systems
Yingying Xing, Xiukang Wang
Plants (2024) Vol. 13, Iss. 16, pp. 2285-2285
Open Access | Times Cited: 11
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