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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 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: 35

Showing 1-25 of 35 citing articles:

Simulating daily PM2.5 concentrations using wavelet analysis and artificial neural network with remote sensing and surface observation data
Qingchun Guo, Zhenfang He, Zhaosheng Wang
Chemosphere (2023) Vol. 340, pp. 139886-139886
Closed Access | Times Cited: 43
Multi-view Stacked CNN-BiLSTM (MvS CNN-BiLSTM) for urban PM2.5 concentration prediction of India’s polluted cities
Subham Kumar, Vipin Kumar
Journal of Cleaner Production (2024) Vol. 444, pp. 141259-141259
Closed Access | Times Cited: 19
Forecasting of fine particulate matter based on LSTM and optimization algorithm
Nur’atiah Zaini, Ali Najah Ahmed, Lee Woen Ean, et al.
Journal of Cleaner Production (2023) Vol. 427, pp. 139233-139233
Closed Access | Times Cited: 28
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: 9
Air quality and ventilation: exploring solutions for healthy and sustainable urban environments in times of climate change
Iasmin Lourenço Niza, Ana Maria Bueno, Manuel Gameiro da Silva, et al.
Results in Engineering (2024), pp. 103157-103157
Open Access | Times Cited: 9
Environmental Justice in the 15-Minute City: Assessing Air Pollution Exposure Inequalities Through Machine Learning and Spatial Network Analysis
Feifeng Jiang, Jun Ma
Smart Cities (2025) Vol. 8, Iss. 2, pp. 53-53
Open Access | Times Cited: 1
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
Incorporating Temporal Multi-Head Self-Attention Convolutional Networks and LightGBM for Indoor Air Quality Prediction
Yifeng Lu, Jinyong Wang, Dongsheng Wang, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111569-111569
Closed Access | Times Cited: 8
A novel air pollution forecasting, health effects, and economic cost assessment system for environmental management: From a new perspective of the district-level
Wendong Yang, Jingyi Wang, Kai Zhang, et al.
Journal of Cleaner Production (2023) Vol. 417, pp. 138027-138027
Closed Access | Times Cited: 13
Full-coverage estimation of PM2.5 in the Beijing-Tianjin-Hebei region by using a two-stage model
Qiaolin Zeng, Yeming Li, Jinhua Tao, et al.
Atmospheric Environment (2023) Vol. 309, pp. 119956-119956
Closed Access | Times Cited: 12
TEMDI: A Temporal Enhanced Multisource Data Integration model for accurate PM2.5 concentration forecasting
Ke Ren, Kangxu Chen, Chengyao Jin, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 11, pp. 102269-102269
Closed Access | Times Cited: 4
Air pollutant prediction based on a attention mechanism model of the Yangtze River Delta region in frequent heatwaves
Bingchun Liu, Mingzhao Lai, Peng Zeng, et al.
Atmospheric Research (2024), pp. 107701-107701
Closed Access | Times Cited: 4
An enhanced interval-valued PM2.5 concentration forecasting model with attention-based feature extraction and self-adaptive combination technology
Jiaming Zhu, Zheng Peng, Niu Li-li, et al.
Expert Systems with Applications (2024) Vol. 264, pp. 125867-125867
Closed Access | Times Cited: 4
Using a Citizen-installed Network of PM2.5 Sensors to Predict Hourly PM2.5 Airborne Concentration
Filip Nastić, Nebojša Jurišević, Davor Končalović
Water Air & Soil Pollution (2025) Vol. 236, Iss. 2
Closed Access
Tracking of Active Sites as Well as the Compositing Effect over a Cu/Ce-Based Catalyst with Superior Catalytic Activity
Jin Zhang, Hongyu Lin, Xiaoqin Zhang, et al.
JACS Au (2025) Vol. 5, Iss. 2, pp. 975-989
Open Access
Time-Series Data-Driven PM2.5 Forecasting: From Theoretical Framework to Empirical Analysis
Chengqian Wu, Ruiyang Wang, Siyu Lu, et al.
Atmosphere (2025) Vol. 16, Iss. 3, pp. 292-292
Open Access
Multi-granularity PM2.5 concentration long sequence prediction model combined with spatial–temporal graph
Bo Zhang, Hong Qin, Yuqi Zhang, et al.
Environmental Modelling & Software (2025), pp. 106400-106400
Closed Access
PM2.5 probabilistic forecasting system based on graph generative network with graph U-nets architecture
Yanfei Li, Rui Yang, Zhu Duan, et al.
Journal of Central South University (2025) Vol. 32, Iss. 1, pp. 304-318
Closed Access
A new hybrid deep neural network for multiple sites PM2.5 forecasting
Mengfan Teng, Siwei Li, Jie Yang, et al.
Journal of Cleaner Production (2024) Vol. 473, pp. 143542-143542
Closed Access | Times Cited: 3
Dynamic synchronous graph transformer network for region-level air-quality forecasting
Hanzhong Xia, Xiaoxia Chen, Binjie Chen, et al.
Neurocomputing (2024), pp. 128924-128924
Closed Access | Times Cited: 3
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 | Times Cited: 2
A Hybrid Spatiotemporal Model Combining Graph Attention Network and Gated Recurrent Unit for Regional Composite Air Pollution Prediction and Collaborative Control
Li Wang, Bao Qing Hu, Yuan Zhao, et al.
Sustainable Cities and Society (2024), pp. 105925-105925
Closed Access | Times Cited: 2
Long-term Prediction Method for PM2.5 Concentration Using Edge Channel Graph Attention Network and Gating Closed-form Continuous-time Neural Networks
Chen Zhang, Xiaofan Li, Hongyang Sheng, et al.
Process Safety and Environmental Protection (2024) Vol. 189, pp. 356-373
Closed Access | Times Cited: 2
A bivariate simultaneous pollutant forecasting approach by Unified Spectro-Spatial Graph Neural Network (USSGNN) and its application in prediction of O3 and NO2 for New Delhi, India
Subhojit Mandal, Suresh Boppani, Vaibhav Dasari, et al.
Sustainable Cities and Society (2024) Vol. 114, pp. 105741-105741
Closed Access | Times Cited: 1
Predicting PM2.5 levels over Indian metropolitan cities using Recurrent Neural Networks
Amitabha Govande, Raju Attada, Krishna Kumar Shukla
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
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