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:

Retrieval of Fine-Grained PM2.5 Spatiotemporal Resolution Based on Multiple Machine Learning Models
Peilong Ma, Fei Tao, Gao Li-na, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 599-599
Open Access | Times Cited: 20

Showing 20 citing articles:

Air Pollution Detection Using a Novel Snap-Shot Hyperspectral Imaging Technique
Arvind Mukundan, Chia-Cheng Huang, Ting-Chun Men, et al.
Sensors (2022) Vol. 22, Iss. 16, pp. 6231-6231
Open Access | Times Cited: 62
The category identification and transformation mechanism of rural regional function based on SOFM model: A case study of Central Plains Urban Agglomeration, China
Jialin Wang, Bo Liu, Tong Zhou
Ecological Indicators (2023) Vol. 147, pp. 109926-109926
Open Access | Times Cited: 20
An investigation of PM2.5 concentration changes in Mid-Eastern China before and after COVID-19 outbreak
Yongjun Zhang, Wenpin Wu, Yiliang Li, et al.
Environment International (2023) Vol. 175, pp. 107941-107941
Open Access | Times Cited: 14
Synergistic or Antagonistic Health Effects of Long- and Short-Term Exposure to Ambient NO2 and PM2.5: A Review
Anna Mainka, M. Żak
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 21, pp. 14079-14079
Open Access | Times Cited: 22
Fine-Grained Air Pollution Inference at Large-Scale Region Level via 3D Spatiotemporal Attention Super-Resolution Model
Changqun Li, Shan Tang, Jing Liu, et al.
Atmosphere (2025) Vol. 16, Iss. 2, pp. 166-166
Open Access
Deep Learning in Airborne Particulate Matter Sensing and Surface Plasmon Resonance for Environmental Monitoring
Balendra V. S. Chauhan, Sneha Verma, B. M. A. Rahman, et al.
Atmosphere (2025) Vol. 16, Iss. 4, pp. 359-359
Open Access
Facilitating sensitivity analysis of hydrological models through knowledge-driven configuration and distributed online model services
Peilong Ma, Min Chen, Shuo Zhang, et al.
Journal of Hydrology (2025), pp. 133406-133406
Closed Access
A Comparative and Systematic Study of Machine Learning (ML) Approaches for Particulate Matter (PM) Prediction
A.S. Pandya, Rudraksh Nanavaty, Kishan Pipariya, et al.
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 2, pp. 595-614
Closed Access | Times Cited: 9
State-of-art in modelling particulate matter (PM) concentration: a scoping review of aims and methods
Lorenzo Gianquintieri, Daniele Oxoli, Enrico G. Caiani, et al.
Environment Development and Sustainability (2024)
Open Access | Times Cited: 3
Data Integration for ML-CNPM2.5: A Public Sample Dataset Based on Machine Learning Models and Remote Sensing Technology Applied for Estimating Ground-level PM2.5 in China
Yulong Fan, Lin Sun, Xirong Liu
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-15
Closed Access | Times Cited: 2
Spatiotemporal integration of GCN and E-LSTM networks for PM2.5 forecasting
Ali Kamali Mohammadzadeh, Halima Salah, Roohollah Jahanmahin, et al.
Machine Learning with Applications (2023) Vol. 15, pp. 100521-100521
Open Access | Times Cited: 6
Exploring the detailed spatiotemporal characteristics of PM2.5: Generating a full-coverage and hourly PM2.5 dataset in the Sichuan Basin, China
Siwei Zhai, Yi Zhang, Jingfei Huang, et al.
Chemosphere (2022) Vol. 310, pp. 136786-136786
Open Access | Times Cited: 10
Revealing the Impact of COVID-19 on Urban Residential Travel Structure Based on Floating Car Trajectory Data: A Case Study of Nantong, China
Fei Tao, Junjie Wu, Shuang Lin, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 2, pp. 55-55
Open Access | Times Cited: 5
An Air Pollutants Prediction Method Integrating Numerical Models and Artificial Intelligence Models Targeting the Area around Busan Port in Korea
Hyunsu Hong, Il-Hwan Choi, Hyung-Jin Jeon, et al.
Atmosphere (2022) Vol. 13, Iss. 9, pp. 1462-1462
Open Access | Times Cited: 9
Exposure and Inequality of PM2.5 Pollution to Chinese Population: A Case Study of 31 Provincial Capital Cities from 2000 to 2016
Peiyue Tu, Ya Tian, Yujia Hong, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 19, pp. 12137-12137
Open Access | Times Cited: 9
An Attempt to Determine the Relationship between Air Pollution and the Real Estate Market in 2010–2020 in Gdańsk Using GLM and GRM Statistical Models
Piotr Oskar Czechowski, Anna Romanowska, Ernest Czermański, et al.
Sustainability (2023) Vol. 15, Iss. 3, pp. 2471-2471
Open Access | Times Cited: 4
Regional Representativeness Analysis of Ground-Monitoring PM2.5 Concentration Based on Satellite Remote Sensing Imagery and Machine Learning Techniques
Rui Luo, Meng Zhang, Guodong Ma
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 3040-3040
Open Access | Times Cited: 3
Land-Use Regression Modeling to Estimate NO2 and VOC Concentrations in Pohang City, South Korea
Hee-Jin Choi, Young‐Man Roh, Young-Wook Lim, et al.
Atmosphere (2022) Vol. 13, Iss. 4, pp. 577-577
Open Access | Times Cited: 4
Structural Differences of PM2.5 Spatial Correlation Networks in Ten Metropolitan Areas of China
Shuaiqian Zhang, Fei Tao, Qi Wu, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 4, pp. 267-267
Open Access | Times Cited: 3
Geostatistical Methods and Framework for Pollution Modelling
Zaiema Rouf Khan, Arshid Jehangir
(2023), pp. 33-56
Closed Access | Times Cited: 1
Remote Sensing Fine Estimation Model of PM2.5 Concentration Based on Improved Long Short-Term Memory Network: A Case Study on Beijing–Tianjin–Hebei Urban Agglomeration in China
Yiye Ji, Yanjun Wang, Cheng Wang, et al.
Remote Sensing (2024) Vol. 16, Iss. 22, pp. 4306-4306
Open Access
Page 1

Scroll to top