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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:

Intrinsic and extrinsic techniques for quantification uncertainty of an interpretable GRU deep learning model used to predict atmospheric total suspended particulates (TSP) in Zabol, Iran during the dusty period of 120-days wind
Hamid Gholami, Aliakbar Mohammadifar, Reza Dahmardeh Behrooz, et al.
Environmental Pollution (2023) Vol. 342, pp. 123082-123082
Closed Access | Times Cited: 13

Showing 13 citing articles:

SHAP values accurately explain the difference in modeling accuracy of convolution neural network between soil full-spectrum and feature-spectrum
Liang Zhong, Guo Xi, Meng Ding, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108627-108627
Closed Access | Times Cited: 13
An assessment of global land susceptibility to wind erosion based on deep-active learning modelling and interpretation techniques
Hamid Gholami, Aliakbar Mohammadifar, Yougui Song, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
An interpretable deep learning model to map land subsidence hazard
Paria Rahmani, Hamid Gholami, Shahram Golzari
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 11, pp. 17448-17460
Closed Access | Times Cited: 5
Explainable artificial intelligence and advanced feature selection methods for predicting gas concentration in longwall mining
Haoqian Chang, Xiangqian Wang, Alexandra I. Cristea, et al.
Information Fusion (2025), pp. 102976-102976
Closed Access
Explainable deep learning hybrid modeling framework for total suspended particles concentrations prediction
Sujan Ghimire, Ravinesh C. Deo, Ningbo Jiang, et al.
Atmospheric Environment (2025), pp. 121079-121079
Closed Access
An integrated feature selection and machine learning framework for PM10 concentration prediction
Elham Kalantari, Hamid Gholami, Hossein Malakooti, et al.
Atmospheric Pollution Research (2025), pp. 102456-102456
Closed Access
Integrating AI in Food Contaminant Analysis: Enhancing Quality and Environmental Protection
Kuppusamy Sathishkumar, Meivelu Moovendhan‬‬‬‬‬‬‬‬, Loganathan Praburaman, et al.
Journal of Hazardous Materials Advances (2024), pp. 100509-100509
Open Access | Times Cited: 3
Spatial Prediction of Human Brucellosis Susceptibility Using an Explainable Optimized Adaptive Neuro Fuzzy Inference System
Ali Jafari, Ali Asghar Alesheikh, Iman Zandi, et al.
Acta Tropica (2024), pp. 107483-107483
Closed Access | Times Cited: 1
Spatiotemporal change of PM2.5 concentration in Beijing-Tianjin-Hebei and its prediction based on machine learning
Nanjian Liu, Zhixin Hao, Peng Zhao
Urban Climate (2024) Vol. 58, pp. 102167-102167
Closed Access | Times Cited: 1
Machine learning for air quality index (AQI) forecasting: shallow learning or deep learning?
Elham Kalantari, Hamid Gholami, Hossein Malakooti, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 54, pp. 62962-62982
Closed Access | Times Cited: 1
Interpretation techniques to explain the output of a spatial land subsidence hazard model in an area with a diverted tributary
Razieh Seihani, Hamid Gholami, Yahya Esmaeilpour, et al.
Applied Computing and Geosciences (2024) Vol. 23, pp. 100191-100191
Open Access
The complex chemical effects of air pollutants, meteorology and dust on the concentrations of criteria and non-criteria air pollution in Kuwait
Ali Al-Hemoud, Abdulaziz Al-Senafi, Ahmad Al-Khayat, et al.
Discover Atmosphere (2024) Vol. 2, Iss. 1
Open Access
A Systematic Review of the Outcomes of Utilization of Artificial Intelligence Within the Healthcare Systems of the Middle East: A Thematic Analysis of Findings
Mohsen Khosravi, Seyyed Morteza Mojtabaeian, Emine Kübra Dindar Demiray, et al.
Health Science Reports (2024) Vol. 7, Iss. 12
Open Access
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