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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:

Air quality assessment and pollution forecasting using artificial neural networks in Metropolitan Lima-Peru
Chardin Hoyos Cordova, Manuel Niño Lopez Portocarrero, Rodrigo Salas, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Statistical and Artificial Neural Networks Models for Electricity Consumption Forecasting in the Brazilian Industrial Sector
Felipe Leite Coelho da Silva, Kleyton da Costa, Paulo Canas Rodrigues, et al.
Energies (2022) Vol. 15, Iss. 2, pp. 588-588
Open Access | Times Cited: 43
Design and development of an open-source framework for citizen-centric environmental monitoring and data analysis
Sachit Mahajan
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 33
AIRO: Development of an Intelligent IoT-based Air Quality Monitoring Solution for Urban Areas
Tarun Kumar, Amulya Doss
Procedia Computer Science (2023) Vol. 218, pp. 262-273
Open Access | Times Cited: 20
Explainable sequence-to-sequence GRU neural network for pollution forecasting
Sara Mirzavand Borujeni, Leila Arras, Vignesh Srinivasan, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 17
Spatio-temporal visualization and forecasting of $${\text {PM}}_{10}$$ in the Brazilian state of Minas Gerais
Kim Leone Souza da Silva, Javier Linkolk López‐Gonzales, Josue E. Turpo-Chaparro, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 13
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
Ecosense: a revolution in urban air quality forecasting for smart cities
Kalyan Chatterjee, Machakanti Navya Thara, Mandadi Sriya Reddy, et al.
BMC Research Notes (2025) Vol. 18, Iss. 1
Open Access
Artificial Neural Network for Air Pollutant Concentration Predictions Based on Aircraft Trajectories over Suvarnabhumi International Airport
Patcharin Kamsing, Chunxiang Cao, Wuttichai Boonpook, et al.
Atmosphere (2025) Vol. 16, Iss. 4, pp. 366-366
Open Access
A machine learning approach to analyse ozone concentration in metropolitan area of Lima, Peru
Natalí Carbo‐Bustinza, Marisol Belmonte, Vasti Jimenez, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 19
Volatility forecasting using deep recurrent neural networks as GARCH models
Gustavo Di-Giorgi, Rodrigo Salas, Rodrigo Avaria, et al.
Computational Statistics (2023)
Closed Access | Times Cited: 12
Predicting the Long-Term Dependencies in Time Series Using Recurrent Artificial Neural Networks
Cristian Ubal, Gustavo Di-Giorgi, Javier E. Contreras‐Reyes, et al.
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 4, pp. 1340-1358
Open Access | Times Cited: 12
Applications of remote sensing vis-à-vis machine learning in air quality monitoring and modelling: a review
Faizan Tahir Bahadur, Shagoofta Rasool Shah, ‪Rama Rao Nidamanuri
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 12
Closed Access | Times Cited: 9
A Novel Hybrid Approach: Integrating Bayesian SPDE and Deep Learning for Enhanced Spatiotemporal Modeling of PM2.5 Concentrations in Urban Airsheds for Sustainable Climate Action and Public Health
Daniel P. Johnson, Niranjan Ravi, Gabriel M. Filippelli, et al.
Sustainability (2024) Vol. 16, Iss. 23, pp. 10206-10206
Open Access | Times Cited: 2
A Survey of Biological Data in a Big Data Perspective
Gabriel Dall’Alba, Pedro Lenz Casa, Fernanda Pessi de Abreu, et al.
Big Data (2022) Vol. 10, Iss. 4, pp. 279-297
Closed Access | Times Cited: 12
Statistical modeling approach for PM10 prediction before and during confinement by COVID-19 in South Lima, Perú
Rita Cabello Torres, Manuel Angel Ponce Estela, Odón R. Sánchez-Ccoyllo, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 12
A systematic comparison of different machine learning models for the spatial estimation of air pollution
Elena Cerezuela-Escudero, Juan Manuel Montes-Sánchez, Juan P. Dominguez‐Morales, et al.
Applied Intelligence (2023) Vol. 53, Iss. 24, pp. 29604-29619
Open Access | Times Cited: 6
Evaluation of College Students’ Classroom Learning Effect Based on the Neural Network Algorithm
Deming Li, Xuefei Dai, Jianxing Wang, et al.
Mobile Information Systems (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 10
Modeling Air Pollution Using Partially Varying Coefficient Models with Heavy Tails
Nicole Jeldes, Germán Ibacache-Pulgar, Carolina Marchant, et al.
Mathematics (2022) Vol. 10, Iss. 19, pp. 3677-3677
Open Access | Times Cited: 9
Short term forecasting of persistent air quality deterioration events in the metropolis of Sao Paulo
L. V. Rizzo, Andre Gomes Bessa Miranda
Urban Climate (2024) Vol. 55, pp. 101876-101876
Closed Access | Times Cited: 1
Market Volatility and Models for Forecasting Volatility
Emre Bulut
Advances in business strategy and competitive advantage book series (2024), pp. 220-248
Closed Access | Times Cited: 1
Designing resilient bicycle paths in Puno, Peru: Combating urban CO₂ emissions with GIS analysis
Juan Nihol Bravo Inchuña, Luz Clara Calisaya Rojas, Grover Marin Mamani
International Journal of ADVANCED AND APPLIED SCIENCES (2024) Vol. 11, Iss. 5, pp. 96-102
Open Access | Times Cited: 1
Enhancing air pollution prediction: A neural transfer learning approach across different air pollutants
Idriss Jairi, Sarah Ben Othman, Ludivine Canivet, et al.
Environmental Technology & Innovation (2024) Vol. 36, pp. 103793-103793
Open 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
“Forecasting particulate matter concentrations by combining statistical models”
Mine Tülin ZATEROĞLU
Journal of King Saud University - Science (2024) Vol. 36, Iss. 3, pp. 103090-103090
Open Access | Times Cited: 1
An exploratory analysis of PM$$_{2.5}$$/PM$$_{10}$$ ratio during spring 2016–2018 in Metropolitan Lima
Rita Cabello Torres, Natalí Carbo‐Bustinza, Edison Alessandro Romero-Cabello, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
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