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:
Design a regional and multistep air quality forecast model based on deep learning and domain knowledge
Xinyue Mo, Huan Li, Lei Zhang
Frontiers in Earth Science (2022) Vol. 10
Open Access | Times Cited: 7
Xinyue Mo, Huan Li, Lei Zhang
Frontiers in Earth Science (2022) Vol. 10
Open Access | Times Cited: 7
Showing 7 citing articles:
Forecasting of fine particulate matter based on LSTM and optimization algorithm
Nur’atiah Zaini, Ali Najah Ahmed, Lee Woen Ean, et al.
Journal of Cleaner Production (2023) Vol. 427, pp. 139233-139233
Closed Access | Times Cited: 23
Nur’atiah Zaini, Ali Najah Ahmed, Lee Woen Ean, et al.
Journal of Cleaner Production (2023) Vol. 427, pp. 139233-139233
Closed Access | Times Cited: 23
An adaptive adjacency matrix-based graph convolutional recurrent network for air quality prediction
Quanchao Chen, Ruyan Ding, Xinyue Mo, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Quanchao Chen, Ruyan Ding, Xinyue Mo, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
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
Lorenzo Garbagna, Lakshmi Babu Saheer, Mahdi Maktabdar Oghaz
Environmental Pollution (2025), pp. 125937-125937
Closed Access
Prediction of PM2.5 Concentration Based on Deep Learning, Multi-Objective Optimization, and Ensemble Forecast
Zihang Gao, Xinyue Mo, Huan Li
Sustainability (2024) Vol. 16, Iss. 11, pp. 4643-4643
Open Access | Times Cited: 3
Zihang Gao, Xinyue Mo, Huan Li
Sustainability (2024) Vol. 16, Iss. 11, pp. 4643-4643
Open Access | Times Cited: 3
Computational deep air quality prediction techniques: a systematic review
Manjit Kaur, Dilbag Singh, Mohamed Yaseen Jabarulla, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S2, pp. 2053-2098
Closed Access | Times Cited: 7
Manjit Kaur, Dilbag Singh, Mohamed Yaseen Jabarulla, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S2, pp. 2053-2098
Closed Access | Times Cited: 7
Development of Mathematical Model for Prediction of PM2.5 Concentrations in Ambient air of Metal Recycling Industry in Ogijo, Ogun State, South Western Nigeria
Taiwo T. Oshin, James M. Okuo
Asian Journal of Applied Chemistry Research (2024) Vol. 15, Iss. 4, pp. 1-16
Open Access
Taiwo T. Oshin, James M. Okuo
Asian Journal of Applied Chemistry Research (2024) Vol. 15, Iss. 4, pp. 1-16
Open Access
Development of a city-level surface ozone forecasting system using deep learning techniques and air quality model: application in Eastern China
Qianyun Li, Jie Li, Zixi Wang, et al.
Atmospheric Environment (2024) Vol. 339, pp. 120865-120865
Closed Access
Qianyun Li, Jie Li, Zixi Wang, et al.
Atmospheric Environment (2024) Vol. 339, pp. 120865-120865
Closed Access
