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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:

Estimating PM2.5 utilizing multiple linear regression and ANN techniques
Sumita Gulati, Anshul Bansal, Ashok Pal, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 21

Showing 21 citing articles:

Estimation of PM concentrations in the Philippines using Sentinel-5P and artificial neural network
Ma. Angelica S. De Hitta, Ellison C. Castro, Miguel Félix, et al.
(2025), pp. 30-30
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
Modeling PM2.5 urbane pollution using hybrid models incorporating decomposition and multiple factors
Somayeh Mirzaei, Ting Liao, Chin-Yu Hsu
Urban Climate (2025) Vol. 60, pp. 102338-102338
Closed Access
Analysis Correlation of Meteorological Factors with PM2.5 Concentrations in Forecasting Air Quality of The City of Jakarta
Ade Ayu Oktaviana, Abdu Fadli Assomadi, Joni Hermana
IOP Conference Series Earth and Environmental Science (2025) Vol. 1448, Iss. 1, pp. 012006-012006
Open Access
Evaluating and predicting CO2 flux from agricultural soils treated with organic amendments: a comparative study of ANN and ElasticNet models
Justyna Kujawska, Monika Kulisz, Wojciech Cel, et al.
Journal of Soils and Sediments (2025)
Closed Access
PM 2.5 Concentration 7-days Prediction in the Beijing-Tianjin-Hebei Region Using a Novel Stacking Framework
Xintong Gao, Xiaohong Wang, Fuping Li, et al.
Research Square (Research Square) (2025)
Closed Access
Impact of land use characteristics on air pollutant concentrations considering the spatial range of influence
Gunwon Lee, Han Yuhan, Geunhan Kim
Atmospheric Pollution Research (2025), pp. 102498-102498
Closed Access
Comparative Analysis of Multiple Deep Learning Models for Forecasting Monthly Ambient PM2.5 Concentrations: A Case Study in Dezhou City, China
Zhenfang He, Qingchun Guo
Atmosphere (2024) Vol. 15, Iss. 12, pp. 1432-1432
Open Access | Times Cited: 3
Prediction of COD in industrial wastewater treatment plant using an artificial neural network
Özgül Çimen Mesutoğlu, Oğuzhan Gök
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
A new optimized hybrid approach combining machine learning with WRF-CHIMERE model for PM10 concentration prediction
Youssef Chelhaoui, Khalid El Ass, Mathieu Lachâtre, et al.
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 4, pp. 5687-5701
Closed Access | Times Cited: 2
Spatial heterogeneity of meteorological elements and PM2.5: Joint environmental-meteorological effects on PM2.5 in a Cold City
Dongliang Han, Mingqi Wang, Tiantian Zhang, et al.
Urban Climate (2024) Vol. 58, pp. 102160-102160
Closed Access | Times Cited: 2
Prediction of COD in Industrial Wastewater Treatment Plant using Artificial Neural Network
Özgül Çimen Mesutoğlu, Oğuzhan Gök
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Exploring the spatiotemporal patterns of county-scale PM2.5 drivers in Shandong Province from 2000 to 2020
Dongchao Wang, Xiping Li, Xinrong Duan, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0310190-e0310190
Open 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
Linear Regression with PM2.5 and PM10 Concentration for Air Quality in East Lima, Peru
Juan J. Soria, Alejandra B. A. Cárdenas, Lidia Segura Peña
Lecture notes in networks and systems (2024), pp. 519-533
Closed Access | Times Cited: 1
Performance Prediction of COD in Industrial Wastewater Treatment Plant using an Artificial Neural Network
Özgül Çimen Mesutoğlu, Oğuzhan Gök
Research Square (Research Square) (2024)
Open Access
Prediction of COD in Industrial Wastewater Treatment Plant using an Artificial Neural Network
Özgül Çimen Mesutoğlu, Oğuzhan Gök
Research Square (Research Square) (2024)
Open Access
Calibration of CAMS PM2.5 data over Hungary: a machine learning approach
Achraf Qor‐el‐aine, András Béres, Gábor Géczi
Environmental Research Communications (2024) Vol. 6, Iss. 7, pp. 075026-075026
Open Access
Spatial source, simulating improvement, and short-term health effect of high PM2.5 exposure during mutation event in the key urban agglomeration regions in China
Xin Cheng, Jie Yu, Die Su, et al.
Environmental Pollution (2024) Vol. 359, pp. 124738-124738
Closed Access
Modelling of Carbon Monoxide and Suspended Particulate Matter Concentrations in a Rural Area Using Artificial Neural Networks
Saleh M. Al-Sager, Saad S. Almady, Abdulrahman Al-Janobi, et al.
Sustainability (2024) Vol. 16, Iss. 22, pp. 9909-9909
Open Access
Probing Vegetation, Climatic Data, and Machine Learning for Agricultural Planning and Climate Action: A Case Study from North India
B. Biswas, Vidya N. Awasthi, Anand Madhukar
Remote Sensing in Earth Systems Sciences (2024)
Closed Access
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