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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 pollution prediction using LSTM deep learning and metaheuristics algorithms
Ghufran Isam Drewil, Riyadh Jabbar Al-Bahadili
Measurement Sensors (2022) Vol. 24, pp. 100546-100546
Open Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

Spatio-temporal air quality analysis and PM2.5 prediction over Hyderabad City, India using artificial intelligence techniques
P R Gokul, Aneesh Mathew, Avadhoot Bhosale, et al.
Ecological Informatics (2023) Vol. 76, pp. 102067-102067
Closed Access | Times Cited: 62
The Explainable Potential of Coupling Metaheuristics-Optimized-XGBoost and SHAP in Revealing VOCs’ Environmental Fate
Luka Jovanovic, Gordana Jovanović, Mirjana Perišić, et al.
Atmosphere (2023) Vol. 14, Iss. 1, pp. 109-109
Open Access | Times Cited: 59
Decomposition aided attention-based recurrent neural networks for multistep ahead time-series forecasting of renewable power generation
Robertas Damaševičius, Luka Jovanovic, Aleksandar Petrović, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1795-e1795
Open Access | Times Cited: 29
Air pollution prediction using machine learning techniques – An approach to replace existing monitoring stations with virtual monitoring stations
Abdul Samad, S. Garuda, Ulrich Vogt, et al.
Atmospheric Environment (2023) Vol. 310, pp. 119987-119987
Open Access | Times Cited: 41
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: 28
TLIA: Time-series forecasting model using long short-term memory integrated with artificial neural networks for volatile energy markets
Dalal AL-Alimi, Ayman Mutahar AlRassas, Mohammed A. A. Al‐qaness, et al.
Applied Energy (2023) Vol. 343, pp. 121230-121230
Closed Access | Times Cited: 26
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
Air pollutant removal performance using a BiLSTM-based demand-controlled ventilation method after tunnel blasting
Farun An, Dong Yang, Haibin Wei
Journal of Wind Engineering and Industrial Aerodynamics (2024) Vol. 253, pp. 105869-105869
Closed Access | Times Cited: 7
Forecasting solar power generation using evolutionary mating algorithm-deep neural networks
Mohd Herwan Sulaiman, Zuriani Mustaffa
Energy and AI (2024) Vol. 16, pp. 100371-100371
Open Access | Times Cited: 6
Indoor air quality prediction modeling for a naturally ventilated fitness building using RNN-LSTM artificial neural networks
Panos Karaiskos, Yuvaraj Munian, Αntonio Martinez-Molina, et al.
Smart and Sustainable Built Environment (2024)
Closed Access | Times Cited: 6
Systematic Review of Machine Learning and Deep Learning Techniques for Spatiotemporal Air Quality Prediction
Israel Edem Agbehadji, Ibidun Christiana Obagbuwa
Atmosphere (2024) Vol. 15, Iss. 11, pp. 1352-1352
Open Access | Times Cited: 6
Predicting ambient PM2.5 concentrations via time series models in Anhui Province, China
Ahmad Hasnain, Muhammad Zaffar Hashmi, Sohaib Khan, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 5
Open Access | Times Cited: 5
Machine learning based prediction of flyrock distance in rock blasting: A safe and sustainable mining approach
Blessing Olamide Taiwo, Yewuhalashet Fissha, Shahab Hosseini, et al.
Deleted Journal (2024)
Open Access | Times Cited: 5
Forecasting Air Quality in Kiev During 2022 Military Conflict Using Sentinel 5P and Optimized Machine Learning
Mohammad Mehrabi, Marco Scaioni, M. Previtali
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-10
Closed Access | Times Cited: 13
A CO concentration prediction method for electronic nose based on TrellisNet with gated recurrent unit and dilated convolution
Zhengyang Zhu, Qingming Jiang, Mingxiang Wang, et al.
Microchemical Journal (2024) Vol. 199, pp. 110014-110014
Closed Access | Times Cited: 4
IPSO-LSTM hybrid model for predicting online public opinion trends in emergencies
Guangyu Mu, Zehan Liao, Jiaxue Li, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0292677-e0292677
Open Access | Times Cited: 10
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: 10
Hybridization of rough set–wrapper method with regularized combinational LSTM for seasonal air quality index prediction
Tishya Manna, A. Anitha
Neural Computing and Applications (2023) Vol. 36, Iss. 6, pp. 2921-2940
Closed Access | Times Cited: 10
Air Quality Prediction Using a U-Net Inspired 1D-CNN with Attention Mechanisms

Global NEST Journal (2025)
Closed Access
Predicting ground-level nitrogen dioxide concentrations using the BaYesian attention-based deep neural network
Angelo Casolaro, Vincenzo Capone, Francesco Camastra
Ecological Informatics (2025), pp. 103097-103097
Open Access
Soft sensors for dust estimation with high accuracy: AI-driven approach for CSP solar mirror soiling classification
Ayoub Oufadel, Massaab El Ydrissi, Ibrahim Taabane, et al.
International Journal of Sustainable Energy (2025) Vol. 44, Iss. 1
Open Access
An Improved Chaotic Game Optimization Algorithm and Its Application in Air Quality Prediction
Yanping Liu, Ruili Zheng, Bohao Yu, et al.
Axioms (2025) Vol. 14, Iss. 4, pp. 235-235
Open Access
Comparative Analysis of Data Visualization and Deep Learning Models in Air Quality Forecasting
Damla Mengus, Bihter Daş
Sakarya University Journal of Computer and Information Sciences (2025) Vol. 8, Iss. 1, pp. 89-111
Open Access
A Fuzzy-Based Model to Detect Hotspots of Air Pollutants During Heatwaves in Urban Settlements
Barbara Cardone, Ferdinando Di Martino, Claudio Mauriello, et al.
Sensors (2025) Vol. 25, Iss. 7, pp. 2160-2160
Open Access
AI-Powered Anomaly Detection in Air Pollution for Smart Environmental Monitoring
Raghav Abrol
Indian Journal of Artificial Intelligence and Neural Networking (2025) Vol. 5, Iss. 3, pp. 1-5
Closed Access
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