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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:

Selection of key features for PM2.5 prediction using a wavelet model and RBF-LSTM
Yi‐Chung Chen, Dong-Chi Li
Applied Intelligence (2020) Vol. 51, Iss. 4, pp. 2534-2555
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

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
DESA: a novel hybrid decomposing-ensemble and spatiotemporal attention model for PM2.5 forecasting
Shuwei Fang, Qi Li, Hamed Karimian, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 36, pp. 54150-54166
Closed Access | Times Cited: 31
Forecasting PM2.5 levels in Santiago de Chile using deep learning neural networks
Camilo Menares, Patricio Pérez, Santiago Parraguez, et al.
Urban Climate (2021) Vol. 38, pp. 100906-100906
Closed Access | Times Cited: 37
Systems classification of air pollutants using Adam optimized CNN with XGBoost feature selection
Satya Prakash, K. Sangeetha
Analog Integrated Circuits and Signal Processing (2025) Vol. 122, Iss. 3
Closed Access
Exploring the significance of temporal, meteorological, and previous states parameters in $$\hbox {PM}_{2.5}$$ concentration predictions: a neural network sensitivity study for Aguascalientes, Mexico
Héctor Antonio Olmos-Guerrero, Pablo T. Rodriguez-Gonzalez, Ramiro Rico-Martı́nez
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 3
Closed Access
A balanced social LSTM for PM2.5 concentration prediction based on local spatiotemporal correlation
Lukui Shi, Huizhen Zhang, Xia Xu, et al.
Chemosphere (2021) Vol. 291, pp. 133124-133124
Closed Access | Times Cited: 30
Exploiting PSO-SVM and sample entropy in BEMD for the prediction of interval-valued time series and its application to daily PM2.5 concentration forecasting
Liyuan Jiang, Zhifu Tao, Jiaming Zhu, et al.
Applied Intelligence (2022) Vol. 53, Iss. 7, pp. 7599-7613
Closed Access | Times Cited: 19
Feature selection using a sinusoidal sequence combined with mutual information
Gaoteng Yuan, Lu Lu, Xiaofeng Zhou
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107168-107168
Closed Access | Times Cited: 12
Estate price prediction system based on temporal and spatial features and lightweight deep learning model
Sheng-Min Chiu, Yi‐Chung Chen, Chiang Lee
Applied Intelligence (2021) Vol. 52, Iss. 1, pp. 808-834
Closed Access | Times Cited: 23
Extraction of multi-scale features enhances the deep learning-based daily PM2.5 forecasting in cities
Dong Liang, Pei Hua, Dongwei GUI, et al.
Chemosphere (2022) Vol. 308, pp. 136252-136252
Closed Access | Times Cited: 18
Development of Lightweight RBF-DRNN and Automated Framework for CNC Tool-Wear Prediction
Sheng-Min Chiu, Yi‐Chung Chen, Cheng-Ju Kuo, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 16
Spatiotemporal graph neural networks for predicting mid-to-long-term PM2.5 concentrations
Do-Yeon Kim, Daeyong Jin, Heung‐Il Suk
Journal of Cleaner Production (2023) Vol. 425, pp. 138880-138880
Open Access | Times Cited: 9
A Hybrid Model for Enhanced Forecasting of PM2.5 Spatiotemporal Concentrations with High Resolution and Accuracy
Xiaoxiao Feng, Xiaole Zhang, Stephan Henne, et al.
Environmental Pollution (2024) Vol. 355, pp. 124263-124263
Open Access | Times Cited: 3
PM2.5 concentration prediction using weighted CEEMDAN and improved LSTM neural network
Li Zhang, Jinlan Liu, Yuhan Feng, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 30, pp. 75104-75115
Open Access | Times Cited: 7
BWO-BiLSTM & CNN composite model for prediction of atmospheric particulate matter mass concentration
Xue Li, Zhao Hu, Jiyuan Cheng, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 11, pp. 102273-102273
Closed Access | Times Cited: 2
PM2.5 Prediction Model Based on Combinational Hammerstein Recurrent Neural Networks
Yi‐Chung Chen, Tsu‐Chiang Lei, Shun Yao, et al.
Mathematics (2020) Vol. 8, Iss. 12, pp. 2178-2178
Open Access | Times Cited: 20
A novel hybrid ensemble model for hourly PM2.5 concentration forecasting
L. Zhang, Lu Xu, Mingfu Jiang, et al.
International Journal of Environmental Science and Technology (2022) Vol. 20, Iss. 1, pp. 219-230
Closed Access | Times Cited: 12
Digital Twin of Atmospheric Environment: Sensory Data Fusion for High-Resolution PM2.5 Estimation and Action Policies Recommendation
Kudaibergen Abutalip, Anas Al-lahham, Abdulmotaleb El Saddik
IEEE Access (2023) Vol. 11, pp. 14448-14457
Open Access | Times Cited: 6
GE-STDGN: a novel spatio-temporal weather prediction model based on graph evolution
Qingjian Ni, Yuhui Wang, Yifei Fang
Applied Intelligence (2021) Vol. 52, Iss. 7, pp. 7638-7652
Closed Access | Times Cited: 14
Using Convolutional Neural Networks to Build a Lightweight Flood Height Prediction Model with Grad-Cam for the Selection of Key Grid Cells in Radar Echo Maps
Yi‐Chung Chen, Tzu-Yin Chang, Heng-Yi Chow, et al.
Water (2022) Vol. 14, Iss. 2, pp. 155-155
Open Access | Times Cited: 10
VLC localization: deep learning models by Kalman filter algorithm combined with RSS
Wessam M. Salama, Moustafa H. Aly, Eman S. Amer
Optical and Quantum Electronics (2022) Vol. 54, Iss. 9
Open Access | Times Cited: 9
An ensemble NLSTM-based model for PM2.5 concentrations prediction considering feature extraction and data decomposition
Rui Zhang, Norhashidah Awang
Air Quality Atmosphere & Health (2023) Vol. 16, Iss. 10, pp. 1969-1987
Closed Access | Times Cited: 5
Application of Generative Adversarial Network and Diverse Feature Extraction Methods to Enhance Classification Accuracy of Tool-Wear Status
Bo-Xiang Chen, Yi‐Chung Chen, Chee-Hoe Loh, et al.
Electronics (2022) Vol. 11, Iss. 15, pp. 2364-2364
Open Access | Times Cited: 8
Universal Transfer Framework for Urban Spatio-Temporal Knowledge Based on Radial Basis Function
Sheng-Min Chiu, Yow-Shin Liou, Yi‐Chung Chen, et al.
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 9, pp. 4458-4469
Closed Access | Times Cited: 1
Using Transfer Learning and Radial Basis Function Deep Neural Network Feature Extraction to Upgrade Existing Product Fault Detection Systems for Industry 4.0: A Case Study of a Spring Factory
Chee-Hoe Loh, Yi‐Chung Chen, Chwen‐Tzeng Su
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 2913-2913
Open Access | Times Cited: 1
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