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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 new multi-data-driven spatiotemporal PM2.5 forecasting model based on an ensemble graph reinforcement learning convolutional network
Xinwei Liu, Muchuan Qin, Yue He, et al.
Atmospheric Pollution Research (2021) Vol. 12, Iss. 10, pp. 101197-101197
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

A multi-factor driven spatiotemporal wind power prediction model based on ensemble deep graph attention reinforcement learning networks
Chengqing Yu, Guangxi Yan, Chengming Yu, et al.
Energy (2022) Vol. 263, pp. 126034-126034
Closed Access | Times Cited: 90
Graph Neural Networks in IoT: A Survey
Guimin Dong, Mingyue Tang, Zhiyuan Wang, et al.
ACM Transactions on Sensor Networks (2022) Vol. 19, Iss. 2, pp. 1-50
Open Access | Times Cited: 74
Application of wavelet-packet transform driven deep learning method in PM2.5 concentration prediction: A case study of Qingdao, China
Qinghe Zheng, Xinyu Tian, Zhiguo Yu, et al.
Sustainable Cities and Society (2023) Vol. 92, pp. 104486-104486
Open Access | Times Cited: 58
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction
Chengqing Yu, Fei Wang, Zezhi Shao, et al.
(2023), pp. 3062-3072
Open Access | Times Cited: 40
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
Short-Term Prediction of PM2.5 Using LSTM Deep Learning Methods
Endah Kristiani, Hao Lin, Jwu‐Rong Lin, et al.
Sustainability (2022) Vol. 14, Iss. 4, pp. 2068-2068
Open Access | Times Cited: 48
A new ensemble deep graph reinforcement learning network for spatio-temporal traffic volume forecasting in a freeway network
Pan Shang, Xinwei Liu, Chengqing Yu, et al.
Digital Signal Processing (2022) Vol. 123, pp. 103419-103419
Closed Access | Times Cited: 43
The spatial-temporal evolution mechanism of PM2.5 concentration based on China's climate zoning
Guangzhi Qi, Wendong Wei, Zhibao Wang, et al.
Journal of Environmental Management (2022) Vol. 325, pp. 116671-116671
Closed Access | Times Cited: 39
Forecasting hourly PM2.5 concentrations based on decomposition-ensemble-reconstruction framework incorporating deep learning algorithms
Peilei Cai, Chengyuan Zhang, Jian Chai
Data Science and Management (2023) Vol. 6, Iss. 1, pp. 46-54
Open Access | Times Cited: 29
Ensemble reinforcement learning: A survey
Yanjie Song, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz, et al.
Applied Soft Computing (2023) Vol. 149, pp. 110975-110975
Open Access | Times Cited: 25
Attention mechanism is useful in spatio-temporal wind speed prediction: Evidence from China
Chengqing Yu, Guangxi Yan, Chengming Yu, et al.
Applied Soft Computing (2023) Vol. 148, pp. 110864-110864
Closed Access | Times Cited: 22
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: 12
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: 16
Regional division and influencing mechanisms for the collaborative control of PM2.5 and O3 in China: A joint application of multiple mathematic models and data mining technologies
Wenjiao Duan, Xiaoqi Wang, Shuiyuan Cheng, et al.
Journal of Cleaner Production (2022) Vol. 337, pp. 130607-130607
Closed Access | Times Cited: 26
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
An optimized decomposition integration model for deterministic and probabilistic air pollutant concentration prediction considering influencing factors
Fan Yang, Guangqiu Huang
Atmospheric Pollution Research (2024) Vol. 15, Iss. 7, pp. 102144-102144
Closed Access | Times Cited: 5
A spatiotemporal deep learning ensemble for multi-step PM2.5 prediction: A case study of Bangkok metropolitan region in Thailand
Veerasit Kaewbundit, Chaiyo Churngam, Papis Wongchaisuwat
Atmospheric Pollution Research (2025), pp. 102406-102406
Closed Access
PM2.5 Concentration Prediction in the Beijing–Tianjin–Hebei Region Based on ERA5 Stratified PWV and Atmospheric Pollutants
Jun Shang, Peixuan Zhang, Yong Wang, et al.
Atmosphere (2025) Vol. 16, Iss. 3, pp. 269-269
Open Access
Enhancing PM2.5 modeling with reinforcement learning: dynamic ensembling of multi-graph attention networks and deep recurrent models
Sara Haghbayan, Mehdi Momeni, Behnam Tashayo
International Journal of Environmental Science and Technology (2025)
Closed Access
A Novel Multi-Factor Three-Step Feature Selection and Deep Learning Framework for Regional GDP Prediction: Evidence from China
Qingwen Li, Guangxi Yan, Chengming Yu
Sustainability (2022) Vol. 14, Iss. 8, pp. 4408-4408
Open Access | Times Cited: 21
A new combination model using decomposition ensemble framework and error correction technique for forecasting hourly PM2.5 concentration
Hong Yang, Chan Wang, Guohui Li
Journal of Environmental Management (2022) Vol. 318, pp. 115498-115498
Closed Access | Times Cited: 21
A novel AQI forecasting method based on fusing temporal correlation forecasting with spatial correlation forecasting
Mengshuai Su, Hui Liu, Chengqing Yu, et al.
Atmospheric Pollution Research (2023) Vol. 14, Iss. 4, pp. 101717-101717
Closed Access | Times Cited: 12
A dynamic ensemble deep deterministic policy gradient recursive network for spatiotemporal traffic speed forecasting in an urban road network
Xiwei Mi, Chengqing Yu, Xinwei Liu, et al.
Digital Signal Processing (2022) Vol. 129, pp. 103643-103643
Closed Access | Times Cited: 16
Emission forecasting from open burning of crop straw and policy analysis: The case for China
Xinyi Liu, Suzi Tu, Jie Liu, et al.
Energy Reports (2023) Vol. 9, pp. 5659-5669
Open Access | Times Cited: 9
Advances in spatiotemporal graph neural network prediction research
Yi Wang
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 2034-2066
Open Access | Times Cited: 9
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