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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:

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

Showing 26-50 of 79 citing articles:

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
Local vs regional neural air pollution forecasting models
Matteo Sangiorgio, Giorgio Guariso
IFAC Journal of Systems and Control (2025), pp. 100298-100298
Open Access
SFDformer: a frequency-based sparse decomposition transformer for air pollution time series prediction
Zhao Qin, Bingqing Wei, Caifeng Gao, et al.
Frontiers in Environmental Science (2025) Vol. 13
Open Access
Comprehensive analysis of various imputation and forecasting models for predicting PM2.5 pollutant in Delhi
Hemanth Karnati, Anuraag Soma, A K M Mubashwir Alam, et al.
Neural Computing and Applications (2025)
Open Access
Multistation collaborative prediction of air pollutants based on the CNN-BiLSTM model
Yanan Lu, Kun Li
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 40, pp. 92417-92435
Closed Access | Times Cited: 10
Enhancing river health monitoring: Developing a reliable predictive model and mitigation plan
Syahida Farhan Azha, Lariyah Mohd Sidek, Zainal Ahmad, et al.
Ecological Indicators (2023) Vol. 156, pp. 111190-111190
Open Access | Times Cited: 9
State-of-art in modelling particulate matter (PM) concentration: a scoping review of aims and methods
Lorenzo Gianquintieri, Daniele Oxoli, Enrico G. Caiani, et al.
Environment Development and Sustainability (2024)
Open Access | Times Cited: 3
Short-term air quality prediction using point and interval deep learning systems coupled with multi-factor decomposition and data-driven tree compression
Jinxing Che, Kun Hu, Wenxin Xia, et al.
Applied Soft Computing (2024) Vol. 166, pp. 112191-112191
Closed Access | Times Cited: 3
Temporal Difference-Based Graph Transformer Networks For Air Quality PM2.5 Prediction: A Case Study in China
Zhen Zhang, Shiqing Zhang, Xiaoming Zhao, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 13
Predicting the Health Status of a Pulp Press Based on Deep Neural Networks and Hidden Markov Models
Alexandre Martins, Balduíno César Mateus, Inácio Fonseca, et al.
Energies (2023) Vol. 16, Iss. 6, pp. 2651-2651
Open Access | Times Cited: 7
Computational deep air quality prediction techniques: a systematic review
Manjit Kaur, Dilbag Singh, Mohamed Yaseen Jabarulla, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S2, pp. 2053-2098
Closed Access | Times Cited: 7
Predicting Concentration Fluctuations of Locally Emitted Air Pollutants in Urban-like Geometry Using Deep Learning
Bálint Papp, Gergely Kristóf
Periodica Polytechnica Mechanical Engineering (2024) Vol. 68, Iss. 1, pp. 44-52
Open Access | Times Cited: 2
Robustness of Workload Forecasting Models in Cloud Data Centers: A White-Box Adversarial Attack Perspective
Nosin Ibna Mahbub, Md. Delowar Hossain, Sharmen Akhter, et al.
IEEE Access (2024) Vol. 12, pp. 55248-55263
Open Access | Times Cited: 2
Breathable Cities: Dynamic Machine Learning Modelling Approaches for Advanced Air Pollution Control
Roba Zayed, Maysam Abbod
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5581-5581
Open Access | Times Cited: 2
A surrogate model-based approach for adaptive selection of the optimal traffic conflict prediction model
Dan Wu, Jaeyoung Lee, Ye Li, et al.
Accident Analysis & Prevention (2024) Vol. 207, pp. 107738-107738
Closed Access | Times Cited: 2
Air Quality Prediction Based on Decision Tree Using Machine Learning
Soumyalatha Naveen, M S Upamanyu, Karun Chakki, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 5
Data Driven Forecasting Models for Urban Air Pollution: MoreAir Case Study
Safaa Berkani, Ihsane Gryech, Mounir Ghogho, et al.
IEEE Access (2023) Vol. 11, pp. 133131-133142
Open Access | Times Cited: 5
Air pollution prediction system using XRSTH-LSTM algorithm
Harshit Srivastava, Santos Kumar Das
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 60, pp. 125313-125327
Closed Access | Times Cited: 4
Dissolved oxygen concentration inversion based on Himawari-8 data and deep learning: a case study of lake Taihu
Kaifang Shi, Qi Lang, Peng Wang, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 4
Prediction of air quality pollutants using artificial intelligence techniques: A review
Siva Sankari Subbiah, Senthil Kumar Paramasivan
AIP conference proceedings (2024) Vol. 3040, pp. 120007-120007
Open Access | Times Cited: 1
Deep learning of estuary salinity dynamics is physically accurate at a fraction of hydrodynamic model computational cost
Galen Gorski, Salme Cook, Amelia Snyder, et al.
Limnology and Oceanography (2024) Vol. 69, Iss. 5, pp. 1070-1085
Open Access | Times Cited: 1
Sustainable AI-Based Prediction of Air Pollution Levels in London
Megha Hegde, Jean‐Christophe Nebel, Farzana Rahman
Proceedings of the World Congress on Civil, Structural, and Environmental Engineering (2024)
Open Access | Times Cited: 1
Cleaning up the Big Smoke: Forecasting London’s Air Pollution Levels Using Energy-Efficient AI
Megha Hegde, Jean‐Christophe Nebel, Farzana Rahman
International Journal of Environmental Pollution and Remediation (2024) Vol. 12, pp. 23-28
Open Access | Times Cited: 1
Study on quantitative interpretation of uranium spectral gamma-ray logging based on machine learning algorithm
Yan Zhang, Yujin Ye, Jun Qiu, et al.
Nuclear Engineering and Technology (2024) Vol. 56, Iss. 12, pp. 4959-4965
Open Access | Times Cited: 1
Enhanced PM2.5 Prediction with A Dynamic Wind-Driven Graph Fusion Model Incorporating Inter-Station Pollutant Transport
Haonan Gu, Yinqiao Zhang, Xiaoming Shi, et al.
Atmospheric Environment (2024), pp. 121012-121012
Closed Access | Times Cited: 1

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