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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:

Air pollution forecasting based on attention‐based LSTM neural network and ensemble learning
Duen‐Ren Liu, Shin‐Jye Lee, Yang Huang, et al.
Expert Systems (2019) Vol. 37, Iss. 3
Closed Access | Times Cited: 75

Showing 26-50 of 75 citing articles:

Near-surface PM2.5 prediction combining the complex network characterization and graph convolution neural network
Guyu Zhao, Hongdou He, Yifang Huang, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 24, pp. 17081-17101
Closed Access | Times Cited: 20
A Complete Air Pollution Monitoring and Prediction Framework
Jovan Kalajdjieski, Kire Trivodaliev, Georgina Mirceva, et al.
IEEE Access (2023) Vol. 11, pp. 88730-88744
Open Access | Times Cited: 7
Hour-by-Hour Prediction Model of Air Pollutant Concentration Based on EIDW-Informer—A Case Study of Taiyuan
Kefu Lai, Huahu Xu, Jun Sheng, et al.
Atmosphere (2023) Vol. 14, Iss. 8, pp. 1274-1274
Open Access | Times Cited: 7
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
Impact of Input Filtering and Architecture Selection Strategies on GRU Runoff Forecasting: A Case Study in the Wei River Basin, Shaanxi, China
Qianyang Wang, Yuan Liu, Qimeng Yue, et al.
Water (2020) Vol. 12, Iss. 12, pp. 3532-3532
Open Access | Times Cited: 17
Predicting the ground-level pollutants concentrations and identifying the influencing factors using machine learning, wavelet transformation, and remote sensing techniques
Zohre Ebrahimi‐Khusfi, Ruhollah Taghizadeh‐Mehrjardi, Mohamad Kazemi, et al.
Atmospheric Pollution Research (2021) Vol. 12, Iss. 5, pp. 101064-101064
Closed Access | Times Cited: 15
Achieving fuel efficiency of harbour craft vessel via combined time-series and classification machine learning model with operational data
Januwar Hadi, Dimitrios Konovessis, Zhi Yung Tay
Maritime Transport Research (2022) Vol. 3, pp. 100073-100073
Open Access | Times Cited: 10
Forecasting air quality index considering socioeconomic indicators and meteorological factors: A data granularity perspective
Chih‐Hsuan Wang, Chia‐Rong Chang
Journal of Forecasting (2023) Vol. 42, Iss. 5, pp. 1261-1274
Closed Access | Times Cited: 6
A modular IOT sensing platform using hybrid learning ability for air quality prediction
K. Sridhar, P. Radhakrishnan, G. Swapna, et al.
Measurement Sensors (2022) Vol. 25, pp. 100609-100609
Open Access | Times Cited: 9
A Comparative Study of Deep Learning Models on Tropospheric Ozone Forecasting Using Feature Engineering Approach
Reza Rezaei, Behzad Naderalvojoud, Gülen Güllü
Atmosphere (2023) Vol. 14, Iss. 2, pp. 239-239
Open Access | Times Cited: 5
A deep learning framework with convolutional long short‐term memory for influenza‐like illness trend estimation
Ahmet Kara
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 17
Closed Access | Times Cited: 8
An Improving Long Short Term Memory-Grid Search Based Deep Learning Neural Network for Software Effort Estimation
Robert Marco, Sharifah Sakinah, Syed Ahmad, et al.
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 4, pp. 164-180
Open Access | Times Cited: 4
Hybrid Climate Forecasting: Variational Mode Decomposition and Convolutional Neural Network with Long-Term Short Memory
Huimin Han, Sibghat Ullah Bazai, Mughair Aslam Bhatti, et al.
Polish Journal of Environmental Studies (2023) Vol. 33, Iss. 2, pp. 1121-1134
Open Access | Times Cited: 4
An effective multi-time series model of RC column backbone curve identification
Dehu Yu, Tongtong Gai, Shujuan Yang, et al.
Case Studies in Construction Materials (2024) Vol. 20, pp. e03183-e03183
Open Access | Times Cited: 1
Short-term air pollution prediction using graph convolutional neural networks
Swadesh Jana, Asif Iqbal Middya, Sarbani Roy
Technological Forecasting and Social Change (2024) Vol. 208, pp. 123684-123684
Closed Access | Times Cited: 1
Short-term PM2.5 forecasting using a unique ensemble technique for proactive environmental management initiatives
Hasnain Iftikhar, Moiz Qureshi, Justyna Żywiołek, et al.
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 1
Current Situation and Prospect of Geospatial AI in Air Pollution Prediction
Chengqian Wu, Siyu Lu, Jiawei Tian, et al.
Atmosphere (2024) Vol. 15, Iss. 12, pp. 1411-1411
Open Access | Times Cited: 1
Forecasting air pollution with deep learning with a focus on impact of urban traffic on PM10 and noise pollution
Martin Kostadinov, Eftim Zdravevski, Petre Lameski, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0313356-e0313356
Open Access | Times Cited: 1
A Hybrid LSTM-Based Ensemble Learning Approach for China Coastal Bulk Coal Freight Index Prediction
Wei Xiao, Chuan Xu, Hongling Liu, et al.
Journal of Advanced Transportation (2021) Vol. 2021, pp. 1-23
Open Access | Times Cited: 10
A Bayesian Non-Linear State Space Copula Model for Air Pollution in Beijing
Alexander Kreuzer, Luciana Dalla Valle, Claudia Czado
Journal of the Royal Statistical Society Series C (Applied Statistics) (2022) Vol. 71, Iss. 3, pp. 613-638
Open Access | Times Cited: 7
Application of a Hybrid Model Based on ICEEMDAN, Bayesian Hyperparameter Optimization GRU and the ARIMA in Nonferrous Metal Price Prediction
Yu-ting Huang, Yulong Bai, Lin Ding, et al.
Cybernetics & Systems (2022) Vol. 54, Iss. 1, pp. 27-59
Closed Access | Times Cited: 7
Optimizing Drought Prediction with LSTM and SPEI: A Two-Tier Ensemble Framework with Meta-Learner and Weighted Sum Fusion
Mahima Gaurihar, Kaustubh Paonikar, Snehalata Dongre, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 3
Longer Time Span Air Pollution Prediction: The Attention and Autoencoder Hybrid Learning Model
Xin-Yu Tu, Bo Zhang, Yupeng Jin, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-16
Open Access | Times Cited: 7
Anomaly Detection Using an Ensemble of Multi-Point LSTMs
Geonseok Lee, Youngju Yoon, Kichun Lee
Entropy (2023) Vol. 25, Iss. 11, pp. 1480-1480
Open Access | Times Cited: 2
Attention Models for PM2.5 Prediction
Jovan Kalajdjieski, Georgina Mirceva, Slobodan Kalajdziski
(2020), pp. 1-8
Closed Access | Times Cited: 5

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