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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 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

Showing 1-25 of 42 citing articles:

PFVAE: A Planar Flow-Based Variational Auto-Encoder Prediction Model for Time Series Data
Xue‐Bo Jin, Wen-Tao Gong, Jianlei Kong, et al.
Mathematics (2022) Vol. 10, Iss. 4, pp. 610-610
Open Access | Times Cited: 108
Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review
Aya Ferchichi, Ali Ben Abbes, Vincent Barra, et al.
Ecological Informatics (2022) Vol. 68, pp. 101552-101552
Closed Access | Times Cited: 82
A Variational Bayesian Deep Network with Data Self-Screening Layer for Massive Time-Series Data Forecasting
Xue‐Bo Jin, Wen-Tao Gong, Jianlei Kong, et al.
Entropy (2022) Vol. 24, Iss. 3, pp. 335-335
Open Access | Times Cited: 77
Variational Bayesian Network with Information Interpretability Filtering for Air Quality Forecasting
Xue‐Bo Jin, Zhong-Yao Wang, Wen-Tao Gong, et al.
Mathematics (2023) Vol. 11, Iss. 4, pp. 837-837
Open 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
Air Pollution Prediction Based On Optimized Deep Learning Neural Networks: PSO-LSTM
Ming Chen, Pengcheng Xu, Zepeng Liu, et al.
Atmospheric Pollution Research (2025), pp. 102413-102413
Closed Access | Times Cited: 2
Deep-AIR: A Hybrid CNN-LSTM Framework for Fine-Grained Air Pollution Estimation and Forecast in Metropolitan Cities
Qi Zhang, Yang Han, Victor O. K. Li, et al.
IEEE Access (2022) Vol. 10, pp. 55818-55841
Open Access | Times Cited: 46
Ada-STGMAT: An adaptive spatio-temporal graph multi-attention network for intelligent time series forecasting in smart cities
Xue‐Bo Jin, Hui-Jun Ma, Jingyi Xie, et al.
Expert Systems with Applications (2025) Vol. 269, pp. 126428-126428
Closed Access | Times Cited: 1
Spatiotemporal characteristics and forecasting of short-term meteorological drought in China
Qi Zhang, Chiyuan Miao, Jiaojiao Gou, et al.
Journal of Hydrology (2023) Vol. 624, pp. 129924-129924
Closed Access | Times Cited: 21
Dynamic graph convolution neural network based on spatial-temporal correlation for air quality prediction
Ao Dun, Yuning Yang, Fei Lei
Ecological Informatics (2022) Vol. 70, pp. 101736-101736
Closed Access | Times Cited: 24
Enhanced Air Quality Prediction through Spatio-temporal Feature Sxtraction and Fusion: A Self-tuning Hybrid Approach with GCN and GRU
Bao Liu, Zhi Qi, Lei Gao
Water Air & Soil Pollution (2024) Vol. 235, Iss. 8
Open Access | Times Cited: 5
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
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
3D AQI Mapping Data Assessment of Low-Altitude Drone Real-Time Air Pollution Monitoring
Sarun Duangsuwan, Phoowadon Prapruetdee, Mallika Subongkod, et al.
Drones (2022) Vol. 6, Iss. 8, pp. 191-191
Open Access | Times Cited: 20
Long time series ozone prediction in China: A novel dynamic spatiotemporal deep learning approach
Wenjing Mao, Limin Jiao, Weilin Wang
Building and Environment (2022) Vol. 218, pp. 109087-109087
Closed Access | Times Cited: 19
Relationships between urban form and PM2.5 concentrations from the spatial pattern and process perspective
Xuelan Tan, Zhou Zhou, Weilin Wang
Building and Environment (2023) Vol. 234, pp. 110147-110147
Closed Access | Times Cited: 9
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: 9
An Improved Deep Learning Approach Considering Spatiotemporal Heterogeneity for PM2.5 Prediction: A Case Study of Xinjiang, China
Yajing Wu, Zhangyan Xu, Liping Xu, et al.
Atmosphere (2024) Vol. 15, Iss. 4, pp. 460-460
Open Access | Times Cited: 3
PM2.5 concentration prediction based on EEMD-ALSTM
Zuhan Liu, Dong Ji, Lili Wang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
A Long Short-Term Memory Neural Network Algorithm for Data-Driven Spatial Load Forecasting
Qing Wang, Nai-Gen Li
International Journal of Intelligent Information Technologies (2024) Vol. 20, Iss. 1, pp. 1-13
Open Access | Times Cited: 3
3D wave simulation based on a deep learning model for spatiotemporal prediction
Ying Li, Xiaohui Zhang, Lingxiao Cheng, et al.
Ocean Engineering (2022) Vol. 263, pp. 112420-112420
Closed Access | Times Cited: 15
Short-Term Rainfall Prediction Based on Radar Echo Using an Improved Self-Attention PredRNN Deep Learning Model
Dali Wu, Li Jie Wu, Tao Zhang, et al.
Atmosphere (2022) Vol. 13, Iss. 12, pp. 1963-1963
Open Access | Times Cited: 14
A Development of PM2.5 Forecasting System in South Korea Using Chemical Transport Modeling and Machine Learning
Youn-Seo Koo, Hee-Yong Kwon, Hyosik Bae, et al.
Asia-Pacific Journal of Atmospheric Sciences (2023) Vol. 59, Iss. 5, pp. 577-595
Closed Access | Times Cited: 7
COVID-19 vaccine prediction based on an interpretable CNN-LSTM model with three-stage feature engineering
Lubna Altarawneh, Hao Wang, Yu Jin
Health and Technology (2024) Vol. 14, Iss. 6, pp. 1241-1261
Closed Access | Times Cited: 2
Probing the capacity of a spatiotemporal deep learning model for short-term PM2.5 forecasts in a coastal urban area
Qi Liao, Mingming Zhu, Lin Wu, et al.
The Science of The Total Environment (2024) Vol. 950, pp. 175233-175233
Closed Access | Times Cited: 2
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