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:

An improved deep learning procedure for statistical downscaling of climate data
Ahmed M. S. Kheir, Abdelrazek Elnashar, Alaa Mosad, et al.
Heliyon (2023) Vol. 9, Iss. 7, pp. e18200-e18200
Open Access | Times Cited: 16

Showing 16 citing articles:

Developing automated machine learning approach for fast and robust crop yield prediction using a fusion of remote sensing, soil, and weather dataset
Ahmed M. S. Kheir, Ajit Govind, Vinay Nangia, et al.
Environmental Research Communications (2024) Vol. 6, Iss. 4, pp. 041005-041005
Open Access | Times Cited: 10

Community future climate resilience assessment based on CMIP6, A case study of communities along an urban-rural gradient in Shanghai
Caihua Yang, Hao Wu, Changkun Xie, et al.
Urban Climate (2024) Vol. 56, pp. 101966-101966
Closed Access | Times Cited: 5

Impacts of climate change on spatial wheat yield and nutritional values using hybrid machine learning
Ahmed M. S. Kheir, Osama Ali, Ashifur Rahman Shawon, et al.
Environmental Research Letters (2024) Vol. 19, Iss. 10, pp. 104049-104049
Open Access | Times Cited: 5

Projected Bioclimatic Changes in Portugal: Assessing Maize Future Suitability
Daniela Soares, Paula Paredes, Teresa A. Paço, et al.
Agronomy (2025) Vol. 15, Iss. 3, pp. 592-592
Open Access

Integrating APSIM model with machine learning to predict wheat yield spatial distribution
Ahmed M. S. Kheir, Siyabusa Mkuhlani, Jane Mugo, et al.
Agronomy Journal (2023) Vol. 115, Iss. 6, pp. 3188-3196
Open Access | Times Cited: 8

Integrated geospatial approach for adaptive rainwater harvesting site selection under the impact of climate change
Ban Al-Hasani, Mawada Abdellatif, Iacopo Carnacina, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 38, Iss. 3, pp. 1009-1033
Open Access | Times Cited: 7

A hybrid approach for generating daily 2m temperature of 1km spatial resolution over Iran
Ebrahim Asadi Oskouei, Morteza Pakdaman, Yashar Falamarzi, et al.
Theoretical and Applied Climatology (2024) Vol. 155, Iss. 8, pp. 7109-7119
Closed Access | Times Cited: 1

Downscaling, bias correction, and spatial adjustment of extreme tropical cyclone rainfall in ERA5 using deep learning
Guido Ascenso, Andrea Ficchì, Matteo Giuliani, et al.
Weather and Climate Extremes (2024), pp. 100724-100724
Open Access | Times Cited: 1

Assessing the Potential of Hybrid-Based Metaheuristic Algorithms Integrated with ANNs for Accurate Reference Evapotranspiration Forecasting
Hadeel E. Khairan, Salah L. Zubaidi, Mustafa Al-Mukhtar, et al.
Sustainability (2023) Vol. 15, Iss. 19, pp. 14320-14320
Open Access | Times Cited: 4

A review of using deep learning from an ecology perspective to address climate change and air pollution
R. Murugadoss, S. Leena Nesamani, A Banushri, et al.
Global NEST Journal (2024)
Closed Access

Characterisation and causal model of the holistic dynamics of the integral sustainability of the agri-food system
Luvis P. Leon-Romero, Francisco Zamora‐Polo, Amalia Luque Sendra, et al.
PLoS ONE (2024) Vol. 19, Iss. 6, pp. e0305743-e0305743
Open Access

Bias Estimation and Downscaling for Regional Climate Models Using Gaussian Process Regression
Matthew Kupilik, Frank D. W. Witmer, Olivia Grill
IEEE Access (2024) Vol. 12, pp. 118362-118370
Open Access

Improving drought monitoring using climate models with bias‐corrected under Gaussian mixture probability models
Rubina Naz, Zulfiqar Ali, Veysi Kartal, et al.
International Journal of Climatology (2024)
Closed Access

Soil Dynamics and Crop Yield Modeling Using the MONICA Crop Simulation Model and Time Series Forecasting Methods
Islombek Mirpulatov, Mikhail Gasanov, С. А. Матвеев
Agronomy (2023) Vol. 13, Iss. 8, pp. 2185-2185
Open Access | Times Cited: 1

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