Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 algorithms for high-resolution prediction of spatiotemporal distribution of air pollution from meteorological and soil parameters
Tao Hai, Ali H. Jawad, A.H. Shather, et al.
Environment International (2023) Vol. 175, pp. 107931-107931
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Artificial Intelligence in Environmental and Climate Changes
Anjali Raghav, Bhupinder Singh, Kittisak Jermsittiparsert, et al.
Practice, progress, and proficiency in sustainability (2024), pp. 485-506
Closed Access | Times Cited: 23
Untapping Artificial Intelligence in Environmental and Sustainable Progression
Tarun Kumar Kaushik, Ravish, Anurag Ambroz Singh, et al.
Practice, progress, and proficiency in sustainability (2024), pp. 109-130
Closed Access | Times Cited: 20
Spatially resolved air quality index prediction in megacities with a CNN-Bi-LSTM hybrid framework
Reza Rabie, Milad Asghari, Hossein Nosrati, et al.
Sustainable Cities and Society (2024) Vol. 109, pp. 105537-105537
Closed Access | Times Cited: 17
Daily scale air quality index forecasting using bidirectional recurrent neural networks: Case study of Delhi, India
Chaitanya B. Pande, Nand Lal Kushwaha, Omer A. Alawi, et al.
Environmental Pollution (2024) Vol. 351, pp. 124040-124040
Closed Access | Times Cited: 10
AI-driven approaches for air pollution modeling: A comprehensive systematic review
Lorenzo Garbagna, Lakshmi Babu Saheer, Mahdi Maktabdar Oghaz
Environmental Pollution (2025), pp. 125937-125937
Closed Access | Times Cited: 1
Prediction of developmental toxic effects of fine particulate matter (PM2.5) water-soluble components via machine learning through observation of PM2.5 from diverse urban areas
Yang Fan, Nannan Sun, Shenchong Lv, et al.
The Science of The Total Environment (2024) Vol. 946, pp. 174027-174027
Open Access | Times Cited: 5
Ultimate Deep Learning Acclimatization With Artificial Intelligence Drones for Environment Shield and Climate Change
Bhupinder Singh, Christian Kaunert, Kittisak Jermsittiparsert, et al.
Practice, progress, and proficiency in sustainability (2024), pp. 59-80
Closed Access | Times Cited: 4
Exposed Population to Temperature Extremes in MENA in the Context of Paris Climate Agreement Temperature Goals
Mohammed Magdy Hamed, Zulfiqar Ali, Mohamed Salem Nashwan, et al.
International Journal of Climatology (2025)
Closed Access
Development of a multi-module data-driven integrated framework for identifying drivers of atmospheric particulate nitrate and reduction emissions: An application in an industrial city, China
Jiaqi Dong, Yulong Yan, Lin Peng, et al.
Environment International (2025), pp. 109394-109394
Open Access
A Hybrid Wavelet-Based Deep Learning Model for Accurate Prediction of Daily Surface PM2.5 Concentrations in Guangzhou City
Zhenfang He, Qingchun Guo, Zhaosheng Wang, et al.
Toxics (2025) Vol. 13, Iss. 4, pp. 254-254
Open Access
Advancements in remote sensing technologies for accurate monitoring and management of surface water resources in Africa: an overview, limitations, and future directions
Maria Sigopi, Cletah Shoko, Timothy Dube
Geocarto International (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 3
Improved classification of soil As contamination at continental scale: Resolving class imbalances using machine learning approach
Tao Hu, Kechao Li, Chundi Ma, et al.
Chemosphere (2024) Vol. 363, pp. 142697-142697
Closed Access | Times Cited: 3
Application of artificial intelligence in air pollution monitoring and forecasting: A systematic review
Sreeni Chadalavada, Oliver Faust, Massimo Salvi, et al.
Environmental Modelling & Software (2024), pp. 106312-106312
Closed Access | Times Cited: 3
Power of ML and DL in Precision Modeling and Climate Predictions
Nishtha Singh, Sahil Lal, Anjali Raghav, et al.
Practice, progress, and proficiency in sustainability (2024), pp. 254-273
Closed Access | Times Cited: 2
Recent advances in electrical engineering: exploring graph neural networks for weather prediction in data-scarce environments
Harish Chandra Bhandari, Yagya Raj Pandeya, Kanhaıya Jha, et al.
Environmental Research Communications (2024) Vol. 6, Iss. 10, pp. 105010-105010
Open Access | Times Cited: 2
Identification of surface water quality pollution areas and pollution sources based on spatial clustering and random forest in Henan, China
Huaibin Wei, Haojie Qiu, Jing Liu, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Automatic identification of factor profiles can be achieved by improved machine learning model
Bo Xu, Junbo Huang, Yi Ge, et al.
Atmospheric Environment (2024) Vol. 323, pp. 120407-120407
Closed Access | Times Cited: 1
Domain Knowledge-Enhanced Multi-spatial Multi-temporal PM2.5 Forecasting with Integrated Monitoring and Reanalysis Data
Yuxiao Hu, Qian Li, Xiaodan Shi, et al.
Environment International (2024) Vol. 192, pp. 108997-108997
Open Access | Times Cited: 1
Explainable hybrid deep learning framework for enhancing multi-step solar ultraviolet-B radiation predictions
Salvin S. Prasad, Lionel Joseph, Sujan Ghimire, et al.
Atmospheric Environment (2024), pp. 120951-120951
Closed Access | Times Cited: 1
Soil-Derived Dust PM10 and PM2.5 Fractions in Southern Xinjiang, China, Using an Artificial Neural Network Model
Shuang Gao, Yaxin Liu, Jieqiong Zhang, et al.
Atmosphere (2023) Vol. 14, Iss. 11, pp. 1644-1644
Open Access | Times Cited: 3
Multi-Spatial Multi-Temporal Air Quality Forecasting with Integrated Monitoring and Reanalysis Data
Yuxiao Hu, Qian Li, Xiaodan Shi, et al.
(2024)
Open Access
Error Analysis and Correction of FENGYUN-4A GIIRS Temperature Profile Products in Summer over the Qinghai–Tibet Plateau
Xiaofei Jiang, Qiguang Wang, Ning Niu
Remote Sensing (2024) Vol. 16, Iss. 11, pp. 1881-1881
Open Access
A Short-Term Air Pollutant Concentration Forecasting Method Based on a Hybrid Neural Network and Metaheuristic Optimization Algorithms
Hossein Jalali, Farshid Keynia, Faezeh Amirteimoury, et al.
Sustainability (2024) Vol. 16, Iss. 11, pp. 4829-4829
Open Access
Predicting the Air Quality Using Machine Learning Algorithms: A Comparative Study
Neetika Goel, Ritika Kumari, Poonam Bansal
Lecture notes in networks and systems (2024), pp. 137-147
Closed Access
Use of machine learning algorithms to determine the relationship between air pollution and cognitive impairment in Taiwan
Cheng-Hong Yang, Chih-Hsien Wu, Kuei‐Hau Luo, et al.
Ecotoxicology and Environmental Safety (2024) Vol. 284, pp. 116885-116885
Open Access
Page 1 - Next Page

Scroll to top