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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:

Attention enhanced hybrid model for spatiotemporal short-term forecasting of particulate matter concentrations
Amartya Choudhury, Asif Iqbal Middya, Sarbani Roy
Sustainable Cities and Society (2022) Vol. 86, pp. 104112-104112
Closed Access | Times Cited: 16

Showing 16 citing articles:

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: 17
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: 34
Research and application of a novel selective stacking ensemble model based on error compensation and parameter optimization for AQI prediction
Peng Tian, Jinlin Xiong, Kai Sun, et al.
Environmental Research (2024) Vol. 247, pp. 118176-118176
Closed Access | Times Cited: 7
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
Performance Assessment of Sequential Models for Solar Radiation Forecasting Over Varying Forecast Horizon
Asif Iqbal Middya, Sarbani Roy, Ashik Paul
Lecture notes in networks and systems (2025), pp. 49-59
Closed Access
Adaptive graph-generating jump network for air quality prediction based on improved graph convolutional network
Qiaolin Zeng, Zeng Hong-hui, Meng Fan, et al.
Atmospheric Pollution Research (2025), pp. 102488-102488
Closed Access
Hourly PM2.5 concentration prediction for dry bulk port clusters considering spatiotemporal correlation: A novel deep learning blending ensemble model
Jinxing Shen, Q. Liu, Xuejun Feng
Journal of Environmental Management (2024) Vol. 370, pp. 122703-122703
Closed Access | Times Cited: 4
An Efficient Modern Convolution-Based Dynamic Spatiotemporal Deep Learning Architecture for Ozone Prediction
Ao Li, Li Ji, Zhizhang Shen
Environmental Modelling & Software (2025), pp. 106424-106424
Closed Access
A Hybrid Deep Learning Model for Air Quality Prediction Based on the Time–Frequency Domain Relationship
Rui Xu, Deke Wang, Jian Li, et al.
Atmosphere (2023) Vol. 14, Iss. 2, pp. 405-405
Open Access | Times Cited: 10
A hybrid PM2.5 interval concentration prediction framework based on multi-factor interval decomposition reconstruction strategy and attention mechanism
Jiaming Zhu, Niu Li-li, Zheng Peng, et al.
Atmospheric Environment (2024) Vol. 335, pp. 120730-120730
Closed Access | Times Cited: 1
Hybrid model for air quality prediction based on LSTM with random search and Bayesian optimization techniques
Varsha Kushwah, Pragati Agrawal
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Empirical assessment of transformer-based neural network architecture in forecasting pollution trends
Pritthijit Nath, Asif Iqbal Middya, Sarbani Roy
International Journal of Data Science and Analytics (2023)
Closed Access | Times Cited: 2
A Hybrid Model for Spatiotemporal Air Quality Prediction Based on Interpretable Neural Networks and a Graph Neural Network
Huijuan Ding, Giseop Noh
Atmosphere (2023) Vol. 14, Iss. 12, pp. 1807-1807
Open Access | Times Cited: 2
Fine particulate matter concentration prediction based on hybrid convolutional network with aggregated local and global spatiotemporal information: A case study in Beijing and Chongqing
Qiaolin Zeng, Yang Cao, Meng Fan, et al.
Atmospheric Environment (2024) Vol. 333, pp. 120647-120647
Closed Access
Citywide PM2.5 Concentration Prediction Using Deep Learning Model
Xiaonuo Yang, Xiao Sun, Na Liu, et al.
(2024), pp. 247-251
Closed Access
Long-term urban air quality prediction with hierarchical attention loop network
Hao Zheng, Jiachen Zhao, Jiaqi Zhu, et al.
Sustainable Cities and Society (2024), pp. 106010-106010
Closed Access
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