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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:

Balanced Spider Monkey Optimization with Bi-LSTM for Sustainable Air Quality Prediction
C. Aarthi, Varatharaj Jeya Ramya, Przemysław Falkowski‐Gilski, et al.
Sustainability (2023) Vol. 15, Iss. 2, pp. 1637-1637
Open Access | Times Cited: 21

Showing 21 citing articles:

Effective Air Quality Prediction Using Reinforced Swarm Optimization and Bi-Directional Gated Recurrent Unit
Sasikumar Gurumoorthy, Aruna Kumari Kokku, Przemysław Falkowski‐Gilski, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 11454-11454
Open Access | Times Cited: 34
A deep learning approach for prediction of air quality index in smart city
Adel Binbusayyis, Muhammad Attique Khan, Mohamed Mustaq Ahmed A, et al.
Discover Sustainability (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 6
Optimizing the Architecture of a Quantum–Classical Hybrid Machine Learning Model for Forecasting Ozone Concentrations: Air Quality Management Tool for Houston, Texas
Victor Oliveira Santos, Paulo Alexandre Costa Rocha, Jesse Van Griensven Thé, et al.
Atmosphere (2025) Vol. 16, Iss. 3, pp. 255-255
Open Access
A Prediction Hybrid Framework for Air Quality Integrated with W-BiLSTM(PSO)-GRU and XGBoost Methods
Wenbing Chang, Xu Chen, He Zhao, et al.
Sustainability (2023) Vol. 15, Iss. 22, pp. 16064-16064
Open Access | Times Cited: 10
Deep Learning Framework-Based Chaotic Hunger Games Search Optimization Algorithm for Prediction of Air Quality Index
Harshini Macherla, Ghamya Kotapati, Manepalli Tulas Sunitha, et al.
Ingénierie des systèmes d information (2023) Vol. 28, Iss. 2, pp. 433-441
Open Access | Times Cited: 9
AQIPred: A Hybrid Model for High Precision Time Specific Forecasting of Air Quality Index with Cluster Analysis
Farhana Yasmin, Md. Mehedi Hassan, Mahade Hasan, et al.
Human-Centric Intelligent Systems (2023) Vol. 3, Iss. 3, pp. 275-295
Open Access | Times Cited: 9
Optimized Deep Learning Model for Flood Detection Using Satellite Images
Andrzej Stateczny, Hirald Dwaraka Praveena, Ravikiran Hassan Krishnappa, et al.
Remote Sensing (2023) Vol. 15, Iss. 20, pp. 5037-5037
Open Access | Times Cited: 7
A novel approach for the prediction and analysis of daily concentrations of particulate matter using machine learning
Balamurugan Panneerselvam, Nagavinothini Ravichandran, U.C. Dumka, et al.
The Science of The Total Environment (2023) Vol. 897, pp. 166178-166178
Closed Access | Times Cited: 5
Air quality index prediction with optimisation enabled deep learning model in IoT application
S. Sivakumar
Environmental Technology (2024), pp. 1-17
Closed Access | Times Cited: 1
An Intelligent Air Monitoring System For Pollution Prediction: A Predictive Healthcare Perspective
Veerawali Behal, Ramandeep Singh
The Computer Journal (2023) Vol. 67, Iss. 5, pp. 1763-1782
Closed Access | Times Cited: 2
Ensemble Deep Learning Based Air Pollution Prediction for Sustainable Smart Cities
Maha Farouk S. Sabir, Mahmoud Ragab, Adil O. Khadidos, et al.
Computer Systems Science and Engineering (2024) Vol. 48, Iss. 3, pp. 627-643
Open Access
Power quality improvement using a 31-level multi-level inverter with bio-inspired optimization approach
A. Praveena, K. Sathishkumar
Frontiers in Energy Research (2024) Vol. 12
Open Access
Air quality prediction based on ICEEMDAN-SSA-LSTM
Qin Yan-ling, Hongyan Ma, Wei He
2022 34th Chinese Control and Decision Conference (CCDC) (2024), pp. 2329-2334
Closed Access
Monitoring AI-Based Processing for Predicting Poisonous Gas Emissions in Smart Cities Using Novel Temporal Dynamics Prediction Model
K. Jaisharma, N. Deepa, T Devi
(2024), pp. 1-6
Closed Access
Deep Learning Approaches for Air Quality Forecasting: An LSTM and CNN Perspective
N. V. S. Sree Rathna Lakshmi, A. Krishnamoorthy
(2024), pp. 122-126
Closed Access
Analysis of various Machine Learning Regression Models for AQI Prediction
Uma Rani, S. Thirisaa
(2023), pp. 1-5
Closed Access | Times Cited: 1
A Robust Deep Neural Network Framework for the Detection of Dementia
K. Sweety, M.Sailaja M Nagalakshmi
(2023), pp. 686-691
Closed Access
Spatio-Temporal Dynamics and Haze Agglomeration Analysis in the Beijing-Tianjin-Hebei Region: A WOA-LSTM Approach
Yuanyuan Wang, Zhuang Wu, Jiaqi Du, et al.
Journal of Urban Development and Management (2023) Vol. 2, Iss. 3, pp. 145-159
Open Access
Enhanced Intrusion Detection System using Pearson Correlation based Long Short-Term Memory
Rekha Phadke, Sudheer Kumar Katari, Muntather Almusawi, et al.
(2023), pp. 1-5
Closed Access
Exploring Multi-Beam Bathymetry Problem Using Traditional Modeling Approach
Hao Zhu
(2023), pp. 1-8
Closed Access
The Application of Machine Vision Algorithm in Obstacle Recognition and Navigation of Logistics Robots
Lixun Liu, Rongcheng Zhou
(2023), pp. 1-5
Closed Access
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