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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 51-75 of 81 citing articles:

STPNet: a recurrent neural network for spatiotemporal processes predictive learning
Zeqiang Chen, Zhiqing Li, Xu Tang, et al.
The Journal of Supercomputing (2024) Vol. 81, Iss. 1
Closed Access | Times Cited: 1
Machine Learning for Air Pollution
Swati Aggrawal, Bharat Bhushan
(2023), pp. 1-6
Closed Access | Times Cited: 3
Quantum-Inspired Moth Flame Optimizer Enhanced Deep Learning for Automated Rice Variety Classification
Haya Mesfer Alshahrani, Muhammad Kashif Saeed, Saud S. Alotaibi, et al.
IEEE Access (2023) Vol. 11, pp. 125593-125600
Open Access | Times Cited: 3
Forecasting PM Levels Using Machine Learning Models in the Arctic: A Comparative Study
Paolo Fazzini, M. Montuori, Antonello Pasini, et al.
(2023)
Open Access | Times Cited: 2
Forecasting PM10 Levels Using Machine Learning Models in the Arctic: A Comparative Study
Paolo Fazzini, M. Montuori, Antonello Pasini, et al.
Remote Sensing (2023) Vol. 15, Iss. 13, pp. 3348-3348
Open Access | Times Cited: 2
Federated Learning for Improved Air Pollution Prediction: A Combined LSTM-SVR Approach
Satheesh Abimannan, A John, Saurabh Shukla, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 2
Prediction of Vegetation Change by Discrete Wavelet Decomposition Based on Remote Sensing Time Series Images
Yuehong Long, Jianxin Qin, Ke Wang, et al.
Traitement du signal (2023) Vol. 40, Iss. 1, pp. 123-132
Open Access | Times Cited: 1
Safe small scale mine blasting operation: An application of soft computing techniques to predict blast-induced flyrock distance
Blessing Olamide Taiwo, Shahab Hosseini, Yewuhalashet Fissha, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
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.
(2023)
Closed Access | Times Cited: 1
Maximizing Nano-Sensor Node Coverage using BWO in WNSNs
Ömer Güleç, Emre Şahin
(2023), pp. 1-6
Closed Access | Times Cited: 1
Forecasting the effect of parameters on AQI values with Machine learning: Multiple Linear Regression
Rahmat Sobirin, Dimas Prayoga, Muhammad Abdul Basit, et al.
2022 5th International Conference on Information and Communications Technology (ICOIACT) (2023), pp. 159-164
Closed Access | Times Cited: 1
A Decision Support System for Prediction of Air Quality Using Recurrent Neural Network
R. Naga Sai Harshini, V. S. V. Jetendra, K. Sravanthi, et al.
Algorithms for intelligent systems (2024), pp. 499-515
Closed Access
Air Quality Index Prediction Using Support Vector Regression Based on African Buffalo Optimization
Yuhanis Yusof, Inusa Sani Maijama’a
Communications in computer and information science (2024), pp. 3-14
Closed Access
Air Quality Index Prediction Using DL
Srinivas Rao Pendela
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 3, pp. 1780-1791
Open Access
Air Quality Prediction Using Deep Learning -A Review
Ayush Gupta, Chauhan Chauhan, Thakur Thakur
SSRN Electronic Journal (2024)
Closed Access
IoT-based AI Methods for Indoor Air Quality Monitoring Systems: A Systematic Review
Hayder Qasim Flayyih, Jumana Waleed, Amer M. Ibrahim
International Journal of Computing and Digital Systems (2024) Vol. 15, Iss. 1, pp. 813-826
Open Access
A Short-Term Air Pollutant Concentration Forecasting Method Based on a Hybrid Neural Network and Metaheuristic Optimization Algorithms
Hossein Jalali, Farshid Keynia, Faezeh Amirteimoury, et al.
Sustainability (2024) Vol. 16, Iss. 11, pp. 4829-4829
Open Access
Predictive Analysis of Sarajevo’s AQI using Machine Learning Models for Varied Data Granularity and Prediction Windows
Emina Zolota, Vahidin Hasić, Amina Mević, et al.
(2024), pp. 1109-1114
Closed Access
Air Pollution Forecasting Using Deep Learning Models Based With Hybrid Approach: A Review
Sagar Shrivastava
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 6, pp. 1798-1807
Open Access
Circle chaotic map tuna swarm optimization (CCMTSO) based feature selection and deep learning approach for air quality prediction
Swamy Aradhyamatada, U.M. Rohitha
Yugoslav journal of operations research (2024), Iss. 00, pp. 24-24
Open Access
Air quality index prediction for clearer skies using improved long short-term memory
Nilesh Bhaskarrao Bahadure, Oshin Sahare, Nishant Shukla, et al.
Intelligent Decision Technologies (2024), pp. 1-10
Closed Access
Machine Learning Methods to Weather Forecasting to Predict Apparent Temperature: A Review
Saurabh Nayak, Priyanka Dubey
International Journal for Research in Applied Science and Engineering Technology (2023) Vol. 11, Iss. 1, pp. 958-961
Open Access
Study and Prediction of Air Quality in Smart Cities through Machine Learning Techniques Considering Spatiotemporal Components
Ditsuhi Iskandaryan
(2023)
Open Access
Aprovechamiento de las tecnologías convergentes para el monitoreo de la contaminación ambiental adoptadas por el sector empresarial
Juan David Cruz Negrete
Boletín de Malariología y Salud Ambiental (2023), pp. 372-382
Open Access
Air Quality Prediction Using Stacking
Sharma Anjali, Sakchi Choudhary, Kanmani P
(2023)
Open Access

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