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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:

Utilizing machine learning and CMIP6 projections for short-term agricultural drought monitoring in central Europe (1900–2100)
Safwan Mohammed, Sana Arshad, Firas Alsilibe, et al.
Journal of Hydrology (2024) Vol. 633, pp. 130968-130968
Open Access | Times Cited: 12

Showing 12 citing articles:

Trends in Hydrological Fluxes During Extreme Heat Events and Strategies for Mitigation
Xuan Yu, Kunlong He, Luca Brocca, et al.
Journal of Hydrology (2025), pp. 132898-132898
Closed Access
Predicting Agricultural Drought in Central Europe by Using Machine Learning Algorithms
Endre Harsányi
Journal of Agriculture and Food Research (2025), pp. 101783-101783
Open Access
Forecasting of meteorological drought using ensemble and machine learning models
Chaitanya Baliram Pande, Lariyah Mohd Sidek, Abhay M. Varade, et al.
Environmental Sciences Europe (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 2
Evaluating machine learning performance in predicting sodium adsorption ratio for sustainable soil-water management in the eastern Mediterranean
Safwan Mohammed, Sana Arshad, Bashar Bashir, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122640-122640
Open Access | Times Cited: 2
Geospatial modelling of ambient air pollutants and chronic obstructive pulmonary diseases at regional scale in Pakistan
Munazza Fatima, Adeel Ahmad, Ibtisam Butt, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 10
Closed Access | Times Cited: 1
Spatiotemporal Drought Assessment in Ningxia Autonomous Region: A Machine Learning and Remote Sensing Approach
M.M. Awais, Zakria Zaheen, Zainab Fatima, et al.
Deleted Journal (2024) Vol. 4, Iss. 02
Open Access
Association of precipitation extremes and crops production and projecting future extremes using machine learning approaches with CMIP6 data
Firdos Khan, Gunter Spöck, Yuei‐An Liou, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 42, pp. 54979-54999
Closed Access
Contributions to Meteorological Forecasting: A Comparative Study of Machine Learning-Driven Temperature Predictions at Menara Station in Morocco
M’barek Iaousse, Mohamed El Kamili, Amal Hmimou, et al.
(2024) Vol. 9, pp. 1-7
Closed Access
Short-Term Drought Forecast across Two Different Climates Using Machine Learning Models
Reza Piraei, Majid Niazkar, Fabiola Gangi, et al.
Hydrology (2024) Vol. 11, Iss. 10, pp. 163-163
Open Access
Integrating Maize Yield and Agricultural Drought Analysis for Sustainable Food Security: A Provincial Study in South Africa (1993–2022)
Tshepiso Vulnary Letswamotse, Sana Arshad, Bashar Bashir, et al.
Food and Energy Security (2024) Vol. 13, Iss. 5
Open Access
Response of drought to climate extremes in a semi-arid inland river basin in China
Zhicheng Qu, Shunyu Yao, Dongwei Liu
Journal of Arid Land (2024) Vol. 16, Iss. 11, pp. 1505-1521
Open Access
Agricultural GDP exposure to drought and its machine learning-based prediction in the Jialing River Basin, China
Xinzhi Wang, Qingxia Lin, Zhiyong Wu, et al.
Agricultural Water Management (2024) Vol. 307, pp. 109265-109265
Open Access
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