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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 Lag-FLSTM deep learning network based on Bayesian Optimization for multi-sequential-variant PM2.5 prediction
Jun Ma, Yuexiong Ding, Jack C.P. Cheng, et al.
Sustainable Cities and Society (2020) Vol. 60, pp. 102237-102237
Closed Access | Times Cited: 97

Showing 1-25 of 97 citing articles:

Coupling a hybrid CNN-LSTM deep learning model with a Boundary Corrected Maximal Overlap Discrete Wavelet Transform for multiscale Lake water level forecasting
Rahim Barzegar, Mohammad Taghi Aalami, Jan Adamowski
Journal of Hydrology (2021) Vol. 598, pp. 126196-126196
Closed Access | Times Cited: 153
A deep learning approach for prediction of air quality index in a metropolitan city
R. Janarthanan, Pachaivannan Partheeban, K. Somasundaram, et al.
Sustainable Cities and Society (2021) Vol. 67, pp. 102720-102720
Closed Access | Times Cited: 150
Modeling air quality prediction using a deep learning approach: Method optimization and evaluation
Wenjing Mao, Weilin Wang, Limin Jiao, et al.
Sustainable Cities and Society (2020) Vol. 65, pp. 102567-102567
Closed Access | Times Cited: 141
Bayesian optimization based dynamic ensemble for time series forecasting
Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, et al.
Information Sciences (2022) Vol. 591, pp. 155-175
Closed Access | Times Cited: 139
A novel attention-based LSTM cell post-processor coupled with bayesian optimization for streamflow prediction
Babak Alizadeh, Alireza Ghaderi Bafti, Hamid Kamangir, et al.
Journal of Hydrology (2021) Vol. 601, pp. 126526-126526
Closed Access | Times Cited: 126
Deep learning for air pollutant concentration prediction: A review
Bo Zhang, Yi Rong, Ruihan Yong, et al.
Atmospheric Environment (2022) Vol. 290, pp. 119347-119347
Closed Access | Times Cited: 125
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
Building layout generation using site-embedded GAN model
Feifeng Jiang, Jun Ma, Chris Webster, et al.
Automation in Construction (2023) Vol. 151, pp. 104888-104888
Closed Access | Times Cited: 48
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: 17
Assessing the impacts of urban morphological factors on urban building energy modeling based on spatial proximity analysis and explainable machine learning
Zheng Li, Jun Ma, Feifeng Jiang, et al.
Journal of Building Engineering (2024) Vol. 85, pp. 108675-108675
Closed Access | Times Cited: 15
Optimizing the sustainable performance of public buildings: A hybrid machine learning algorithm
Wen Xu, Xianguo Wu, Shishu Xiong, et al.
Energy (2025), pp. 135283-135283
Closed Access | Times Cited: 1
A new dam structural response estimation paradigm powered by deep learning and transfer learning techniques
Yangtao Li, Tengfei Bao, Zhixin Gao, et al.
Structural Health Monitoring (2021) Vol. 21, Iss. 3, pp. 770-787
Closed Access | Times Cited: 79
A systematic literature review of deep learning neural network for time series air quality forecasting
Nur’atiah Zaini, Lee Woen Ean, Ali Najah Ahmed, et al.
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 4, pp. 4958-4990
Closed Access | Times Cited: 79
Modelling the performance of EPB shield tunnelling using machine and deep learning algorithms
Song-Shun Lin, Shui‐Long Shen, Ning Zhang, et al.
Geoscience Frontiers (2021) Vol. 12, Iss. 5, pp. 101177-101177
Open Access | Times Cited: 78
Prediction of Monthly PM2.5 Concentration in Liaocheng in China Employing Artificial Neural Network
Zhenfang He, Qingchun Guo, Zhaosheng Wang, et al.
Atmosphere (2022) Vol. 13, Iss. 8, pp. 1221-1221
Open Access | Times Cited: 54
PM2.5 forecasting for an urban area based on deep learning and decomposition method
Nur’atiah Zaini, Lee Woen Ean, Ali Najah Ahmed, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 48
Forecasting hourly PM2.5 concentrations based on decomposition-ensemble-reconstruction framework incorporating deep learning algorithms
Peilei Cai, Chengyuan Zhang, Jian Chai
Data Science and Management (2023) Vol. 6, Iss. 1, pp. 46-54
Open Access | Times Cited: 29
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: 24
PM2.5 air pollution prediction through deep learning using meteorological, vehicular, and emission data: A case study of New Delhi, India
Deepti Shakya, Vishal Deshpande, Manish Kumar Goyal, et al.
Journal of Cleaner Production (2023) Vol. 427, pp. 139278-139278
Closed Access | Times Cited: 24
Automated site planning using CAIN-GAN model
Feifeng Jiang, Jun Ma, Chris Webster, et al.
Automation in Construction (2024) Vol. 159, pp. 105286-105286
Closed Access | Times Cited: 10
An improved pollution forecasting model with meteorological impact using multiple imputation and fine-tuning approach
K. Krishna Rani Samal, Ankit Kumar Panda, Korra Sathya Babu, et al.
Sustainable Cities and Society (2021) Vol. 70, pp. 102923-102923
Closed Access | Times Cited: 51
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
Design and development of an open-source framework for citizen-centric environmental monitoring and data analysis
Sachit Mahajan
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 32
Prediction of energy use intensity of urban buildings using the semi-supervised deep learning model
Feifeng Jiang, Jun Ma, Zheng Li, et al.
Energy (2022) Vol. 249, pp. 123631-123631
Closed Access | Times Cited: 29
A hybrid carbon price prediction model based-combinational estimation strategies of quantile regression and long short-term memory
Nijun Jiang, Xiaobing Yu, Manawwer Alam
Journal of Cleaner Production (2023) Vol. 429, pp. 139508-139508
Closed Access | Times Cited: 17
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