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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:

Intelligent modeling strategies for forecasting air quality time series: A review
Hui Liu, Guangxi Yan, Zhu Duan, et al.
Applied Soft Computing (2021) Vol. 102, pp. 106957-106957
Closed Access | Times Cited: 130

Showing 1-25 of 130 citing articles:

Deep learning for air pollutant concentration prediction: A review
Bo Zhang, Yi Rong, Ruihan Yong, et al.
Atmospheric Environment (2022) Vol. 290, pp. 119347-119347
Closed Access | Times Cited: 137
Artificial Intelligence Technologies for Forecasting Air Pollution and Human Health: A Narrative Review
S. Shankar, Naveenkumar Raju, Abbas Ganesan, et al.
Sustainability (2022) Vol. 14, Iss. 16, pp. 9951-9951
Open Access | Times Cited: 108
Multi-output machine learning model for regional air pollution forecasting in Ho Chi Minh City, Vietnam
Rajnish Rakholia, Quan Le, Bang Quoc Ho, et al.
Environment International (2023) Vol. 173, pp. 107848-107848
Open Access | Times Cited: 48
Carbon price prediction using multiple hybrid machine learning models optimized by genetic algorithm
Ozan Nadirgil
Journal of Environmental Management (2023) Vol. 342, pp. 118061-118061
Closed Access | Times Cited: 44
A systematic survey of air quality prediction based on deep learning
Zhen Zhang, Shiqing Zhang, Caimei Chen, et al.
Alexandria Engineering Journal (2024) Vol. 93, pp. 128-141
Open Access | Times Cited: 17
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: 80
PM2.5 concentrations forecasting in Beijing through deep learning with different inputs, model structures and forecast time
Jie Yang, Rui Yan, Mingyue Nong, et al.
Atmospheric Pollution Research (2021) Vol. 12, Iss. 9, pp. 101168-101168
Closed Access | Times Cited: 65
PM2.5 forecasting for an urban area based on deep learning and decomposition method
Nur’atiah Zaini, Lee Woen Ean, Ali Najah Ahmed, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 50
A new ensemble spatio-temporal PM2.5 prediction method based on graph attention recursive networks and reinforcement learning
Jing Tan, Hui Liu, Yanfei Li, et al.
Chaos Solitons & Fractals (2022) Vol. 162, pp. 112405-112405
Closed Access | Times Cited: 43
Spatiotemporal analysis of bidimensional wind speed forecasting: Development and thorough assessment of LSTM and ensemble graph neural networks on the Dutch database
Victor Oliveira Santos, Paulo Alexandre Costa Rocha, John Scott, et al.
Energy (2023) Vol. 278, pp. 127852-127852
Closed Access | Times Cited: 36
Spatiotemporal Air Pollution Forecasting in Houston-TX: A Case Study for Ozone Using Deep Graph Neural Networks
Victor Oliveira Santos, Paulo Alexandre Costa Rocha, John Scott, et al.
Atmosphere (2023) Vol. 14, Iss. 2, pp. 308-308
Open Access | Times Cited: 32
Modeling air quality PM2.5 forecasting using deep sparse attention-based transformer networks
Zhenyu Zhang, Shiqing Zhang
International Journal of Environmental Science and Technology (2023) Vol. 20, Iss. 12, pp. 13535-13550
Open Access | Times Cited: 29
AI-Based Epileptic Seizure Detection and Prediction in Internet of Healthcare Things: A Systematic Review
Sobhana Jahan, Farhana Nowsheen, Mahathir Mahmud Antik, et al.
IEEE Access (2023) Vol. 11, pp. 30690-30725
Open Access | Times Cited: 25
An attentive Copula-based spatio-temporal graph model for multivariate time-series forecasting
Xihe Qiu, Jiahui Qian, Haoyu Wang, et al.
Applied Soft Computing (2024) Vol. 154, pp. 111324-111324
Closed Access | Times Cited: 13
An enhanced combined model for water quality prediction utilizing spatiotemporal features and physical-informed constraints
Jiaming Zhu, Dai Wan, Jingyi Shao, et al.
Expert Systems with Applications (2025), pp. 126937-126937
Closed Access | Times Cited: 1
Air pollution concentration forecasting based on wavelet transform and combined weighting forecasting model
Bingchun Liu, Xiaogang Yu, Jiali Chen, et al.
Atmospheric Pollution Research (2021) Vol. 12, Iss. 8, pp. 101144-101144
Closed Access | Times Cited: 46
Interval prediction approach to crude oil price based on three-way clustering and decomposition ensemble learning
Bingzhen Sun, Juncheng Bai, Xiaoli Chu, et al.
Applied Soft Computing (2022) Vol. 123, pp. 108933-108933
Closed Access | Times Cited: 32
What is the best RNN-cell structure to forecast each time series behavior?
Rohaifa Khaldi, Abdellatif El Afia, Raddouane Chiheb, et al.
Expert Systems with Applications (2022) Vol. 215, pp. 119140-119140
Open Access | Times Cited: 30
A new perspective on air quality index time series forecasting: A ternary interval decomposition ensemble learning paradigm
Zicheng Wang, Ruobin Gao, Piao Wang, et al.
Technological Forecasting and Social Change (2023) Vol. 191, pp. 122504-122504
Closed Access | Times Cited: 22
Deep Learning-Based PM2.5 Long Time-Series Prediction by Fusing Multisource Data—A Case Study of Beijing
Meng Niu, Yuqing Zhang, Zihe Ren
Atmosphere (2023) Vol. 14, Iss. 2, pp. 340-340
Open Access | Times Cited: 20
Spatio-temporal fusion of meteorological factors for multi-site PM2.5 prediction: A deep learning and time-variant graph approach
Hongqing Wang, Lifu Zhang, Rong Wu, et al.
Environmental Research (2023) Vol. 239, pp. 117286-117286
Closed Access | Times Cited: 19
Distance adaptive graph convolutional gated network-based smart air quality monitoring and health risk prediction in sensor-devoid urban areas
Shahzeb Tariq, Shahroz Tariq, SangYoun Kim, et al.
Sustainable Cities and Society (2023) Vol. 91, pp. 104445-104445
Closed Access | Times Cited: 17
High return and low risk: Shaping composite financial investment decision in the new energy stock market
Qing Zhu, Xiaobo Zhou, Shan Liu
Energy Economics (2023) Vol. 122, pp. 106683-106683
Closed Access | Times Cited: 17
Enhanced multi-step streamflow series forecasting using hybrid signal decomposition and optimized reservoir computing models
José Henrique Kleinübing Larcher, Stéfano Frizzo Stefenon, Leandro dos Santos Coelho, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124856-124856
Closed Access | Times Cited: 8
Assessing Real-Time Health Impacts of outdoor Air Pollution through IoT Integration
M. Pradeep, K. M. V. Madan Kumar, Gera Vijaya Nirmala, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 2, pp. 13796-13803
Open Access | Times Cited: 7
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