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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 recurrent neural network using historical data to predict time series indoor PM2.5 concentrations for residential buildings
Xilei Dai, Junjie Liu, Yongle Li
Indoor Air (2021) Vol. 31, Iss. 4, pp. 1228-1237
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

A novel deep learning model integrating CNN and GRU to predict particulate matter concentrations
Zhuoyue Guo, Canyun Yang, Dongsheng Wang, et al.
Process Safety and Environmental Protection (2023) Vol. 173, pp. 604-613
Closed Access | Times Cited: 70
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: 14
Achieving better indoor air quality with IoT systems for future buildings: Opportunities and challenges
Xilei Dai, Wenzhe Shang, Junjie Liu, et al.
The Science of The Total Environment (2023) Vol. 895, pp. 164858-164858
Closed Access | Times Cited: 31
Study on the prediction effect of a combined model of SARIMA and LSTM based on SSA for influenza in Shanxi Province, China
Zhiyang Zhao, Mengmeng Zhai, Guohua Li, et al.
BMC Infectious Diseases (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 26
Forecasting greenhouse air and soil temperatures: A multi-step time series approach employing attention-based LSTM network
Xinxing Li, Lu Zhang, Xiangyu Wang, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108602-108602
Closed Access | Times Cited: 12
Multi-factor PM2.5 concentration optimization prediction model based on decomposition and integration
Hong Yang, Wenqian Wang, Guohui Li
Urban Climate (2024) Vol. 55, pp. 101916-101916
Closed Access | Times Cited: 12
Estimation of PM2.5 Concentration across China Based on Multi-Source Remote Sensing Data and Machine Learning Methods
Yujie Yang, Zhige Wang, Chunxiang Cao, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 467-467
Open Access | Times Cited: 9
Using artificial neural networks to predict indoor particulate matter and TVOC concentration in an office building: Model selection and method development
Saren Gaowa, Zhen Zhang, Jianchun Nie, et al.
Energy and Built Environment (2024)
Open Access | Times Cited: 7
SA–EMD–LSTM: A novel hybrid method for long-term prediction of classroom PM2.5 concentration
Erbiao Yuan, Guangfei Yang
Expert Systems with Applications (2023) Vol. 230, pp. 120670-120670
Closed Access | Times Cited: 19
Modeling PM2.5 forecast using a self-weighted ensemble GRU network: Method optimization and evaluation
Hengjun Huang, Chonghui Qian
Ecological Indicators (2023) Vol. 156, pp. 111138-111138
Open Access | Times Cited: 19
Field calibration of low-cost particulate matter sensors using artificial neural networks and affine response correction
Sławomir Kozieł, Anna Pietrenko‐Dabrowska, W. Marek, et al.
Measurement (2024) Vol. 230, pp. 114529-114529
Open Access | Times Cited: 5
Mechanism Model Combined with Deep Learning Models for Accurate Prediction of Indoor Air Pollution in Residential and Commercial Spaces
Ting Shi, Kai Wang, Yang Wu, et al.
Journal of Building Engineering (2025), pp. 112008-112008
Closed 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
Predicting indoor PM levels in shared office using LSTM method
Junzhou He, S.Q. Zhang, Yu Miao, et al.
Journal of Building Engineering (2025), pp. 112407-112407
Closed Access
STF-Net: An improved depth network based on spatio-temporal data fusion for PM2.5 concentration prediction
Xiaoxia Zhang, Hao Gan
Future Generation Computer Systems (2023) Vol. 144, pp. 37-49
Closed Access | Times Cited: 10
A long-term prediction method for PM2.5 concentration based on spatiotemporal graph attention recurrent neural network and grey wolf optimization algorithm
Chen Zhang, Shengzhao Wang, Yue Wu, et al.
Journal of environmental chemical engineering (2023) Vol. 12, Iss. 1, pp. 111716-111716
Closed Access | Times Cited: 10
Hga-lstm: LSTM architecture and hyperparameter search by hybrid GA for air pollution prediction
Jiayu Liang, Yaxin Lu, Mingming Su
Genetic Programming and Evolvable Machines (2024) Vol. 25, Iss. 2
Closed Access | Times Cited: 3
LASSO and attention-TCN: a concurrent method for indoor particulate matter prediction
Ting Shi, Yang Wu, Ailin Qi, et al.
Applied Intelligence (2023) Vol. 53, Iss. 17, pp. 20076-20090
Open Access | Times Cited: 8
Predicting indoor particle concentration in mechanically ventilated classrooms using neural networks: Model development and generalization ability analysis
Jianlin Ren, Junjie He, Atila Novoselac
Building and Environment (2023) Vol. 238, pp. 110404-110404
Closed Access | Times Cited: 8
A Review of Artificial Neural Network Models Applied to Predict Indoor Air Quality in Schools
Jierui Dong, Nigel Goodman, Priyadarsini Rajagopalan
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 15, pp. 6441-6441
Open Access | Times Cited: 7
Efficient calibration of cost-efficient particulate matter sensors using machine learning and time-series alignment
Sławomir Kozieł, Anna Pietrenko‐Dabrowska, W. Marek, et al.
Knowledge-Based Systems (2024) Vol. 295, pp. 111879-111879
Closed Access | Times Cited: 2
Air quality prediction using a novel three-stage model based on time series decomposition
Mingyue Sun, Congjun Rao, Zhuo Hu
Environment Development and Sustainability (2024)
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
RAdam-DA-NLSTM: A Nested LSTM-Based Time Series Prediction Method for Human–Computer Intelligent Systems
Banteng Liu, Wei Chen, Zhangquan Wang, et al.
Electronics (2023) Vol. 12, Iss. 14, pp. 3084-3084
Open Access | Times Cited: 6
Rapid warning of wind turbine blade icing based on MIV-tSNE-RNN
Zhiqiang Zhang, Bin Fan, Yong Liu, et al.
Journal of Mechanical Science and Technology (2021) Vol. 35, Iss. 12, pp. 5453-5459
Closed Access | Times Cited: 14
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