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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:

Modeling air quality prediction using a deep learning approach: Method optimization and evaluation
Wenjing Mao, Weilin Wang, Limin Jiao, et al.
Sustainable Cities and Society (2020) Vol. 65, pp. 102567-102567
Closed Access | Times Cited: 141

Showing 1-25 of 141 citing articles:

IoT enabled environmental toxicology for air pollution monitoring using AI techniques
P. Asha, L. Natrayan, B. T. Geetha, et al.
Environmental Research (2021) Vol. 205, pp. 112574-112574
Closed Access | Times Cited: 207
Machine learning algorithms to forecast air quality: a survey
Manuel Méndez, Mercedes G. Merayo, Manuel Núñez
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 10031-10066
Open Access | Times Cited: 135
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: 79
A hybrid deep learning model for regional O3 and NO2 concentrations prediction based on spatiotemporal dependencies in air quality monitoring network
Cui-Lin Wu, Hong-di He, Rui-feng Song, et al.
Environmental Pollution (2023) Vol. 320, pp. 121075-121075
Closed Access | Times Cited: 46
Deep-learning architecture for PM2.5 concentration prediction: A review
Shiyun Zhou, Wei Wang, Long Zhu, et al.
Environmental Science and Ecotechnology (2024) Vol. 21, pp. 100400-100400
Open Access | Times Cited: 18
A systematic literature review of deep learning neural network for time series air quality forecasting
Nur’atiah Zaini, Lee Woen Ean, Ali Najah Ahmed, et al.
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 4, pp. 4958-4990
Closed Access | Times Cited: 79
A hybrid CNN-Transformer model for ozone concentration prediction
Yibin Chen, Xiaomin Chen, XU Ai-lan, et al.
Air Quality Atmosphere & Health (2022) Vol. 15, Iss. 9, pp. 1533-1546
Closed Access | Times Cited: 41
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: 36
A city-based PM2.5 forecasting framework using Spatially Attentive Cluster-based Graph Neural Network model
Subhojit Mandal, Mainak Thakur
Journal of Cleaner Production (2023) Vol. 405, pp. 137036-137036
Closed Access | Times Cited: 35
Modeling air quality PM2.5 forecasting using deep sparse attention-based transformer networks
Zhen-Yu Zhang, Shiqing Zhang
International Journal of Environmental Science and Technology (2023) Vol. 20, Iss. 12, pp. 13535-13550
Open Access | Times Cited: 25
Predictive modeling of air quality in the Tehran megacity via deep learning techniques
Abdullah Kaviani Rad, Mohammad Javad Nematollahi, Abbas Pak, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
An improved pollution forecasting model with meteorological impact using multiple imputation and fine-tuning approach
K. Krishna Rani Samal, Ankit Kumar Panda, Korra Sathya Babu, et al.
Sustainable Cities and Society (2021) Vol. 70, pp. 102923-102923
Closed Access | Times Cited: 52
A Novel Recursive Model Based on a Convolutional Long Short-Term Memory Neural Network for Air Pollution Prediction
Weilin Wang, Wenjing Mao, Xueli Tong, et al.
Remote Sensing (2021) Vol. 13, Iss. 7, pp. 1284-1284
Open Access | Times Cited: 42
Research and application of an evolutionary deep learning model based on improved grey wolf optimization algorithm and DBN-ELM for AQI prediction
Yiman Li, Peng Tian, Lei Hua, et al.
Sustainable Cities and Society (2022) Vol. 87, pp. 104209-104209
Closed Access | Times Cited: 35
Air quality changes in China 2013–2020: Effectiveness of clean coal technology policies
Boling Zhang, Sixia Wang, Dongdong Wang, et al.
Journal of Cleaner Production (2022) Vol. 366, pp. 132961-132961
Closed Access | Times Cited: 31
Machine Learning Methods to Forecast the Concentration of PM10 in Lublin, Poland
Justyna Kujawska, Monika Kulisz, Piotr Oleszczuk, et al.
Energies (2022) Vol. 15, Iss. 17, pp. 6428-6428
Open Access | Times Cited: 30
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
An adaptive adjacency matrix-based graph convolutional recurrent network for air quality prediction
Quanchao Chen, Ruyan Ding, Xinyue Mo, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Improving the quantification of fine particulates (PM2.5) concentrations in Malaysia using simplified and computationally efficient models
Nurul Amalin Fatihah Kamarul Zaman, Kasturi Devi Kanniah, Dimitris G. Kaskaoutis, et al.
Journal of Cleaner Production (2024) Vol. 448, pp. 141559-141559
Closed Access | Times Cited: 6
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
Forecasting PM2.5 levels in Santiago de Chile using deep learning neural networks
Camilo Menares, Patricio Pérez, Santiago Parraguez, et al.
Urban Climate (2021) Vol. 38, pp. 100906-100906
Closed Access | Times Cited: 37
Fractional order Lorenz based physics informed SARFIMA-NARX model to monitor and mitigate megacities air pollution
Ayaz Hussain Bukhari, Muhammad Asif Zahoor Raja, Muhammad Shoaib, et al.
Chaos Solitons & Fractals (2022) Vol. 161, pp. 112375-112375
Closed Access | Times Cited: 25
Evolution of neural network to deep learning in prediction of air, water pollution and its Indian context
Basanti Pal Nandi, Gunjan Singh, Aakash Kumar Jain, et al.
International Journal of Environmental Science and Technology (2023) Vol. 21, Iss. 1, pp. 1021-1036
Open Access | Times Cited: 15
Artificial neural networks applications in construction and building engineering (1991–2021): Science mapping and visualization
Mohamed Marzouk, Ahmed Elhakeem, Kareem Adel
Applied Soft Computing (2023) Vol. 152, pp. 111174-111174
Closed Access | Times Cited: 15
Intrinsic and extrinsic techniques for quantification uncertainty of an interpretable GRU deep learning model used to predict atmospheric total suspended particulates (TSP) in Zabol, Iran during the dusty period of 120-days wind
Hamid Gholami, Aliakbar Mohammadifar, Reza Dahmardeh Behrooz, et al.
Environmental Pollution (2023) Vol. 342, pp. 123082-123082
Closed Access | Times Cited: 13
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