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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:

Multi-hour and multi-site air quality index forecasting in Beijing using CNN, LSTM, CNN-LSTM, and spatiotemporal clustering
Rui Yan, Jiaqiang Liao, Jie Yang, et al.
Expert Systems with Applications (2020) Vol. 169, pp. 114513-114513
Closed Access | Times Cited: 340

Showing 1-25 of 340 citing articles:

Machine learning algorithms to forecast air quality: a survey
Manuel Méndez, Mercedes G. Merayo, Manuel Núñez
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 10031-10066
Open Access | Times Cited: 144
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: 137
Short-Term Solar Power Predicting Model Based on Multi-Step CNN Stacked LSTM Technique
Neethu Elizabeth Michael, Manohar Mishra, Shazia Hasan, et al.
Energies (2022) Vol. 15, Iss. 6, pp. 2150-2150
Open Access | Times Cited: 77
Forecasting COVID-19 new cases using deep learning methods
Lu Xu, Rishikesh Magar, Amir Barati Farimani
Computers in Biology and Medicine (2022) Vol. 144, pp. 105342-105342
Open Access | Times Cited: 76
A hybrid deep learning model for regional O3 and NO2 concentrations prediction based on spatiotemporal dependencies in air quality monitoring network
Cui-Lin Wu, Hong-di He, Rui-feng Song, et al.
Environmental Pollution (2023) Vol. 320, pp. 121075-121075
Closed Access | Times Cited: 47
Incorporating multiple grid-based data in CNN-LSTM hybrid model for daily runoff prediction in the source region of the Yellow River Basin
Feichi Hu, Qinli Yang, Junran Yang, et al.
Journal of Hydrology Regional Studies (2024) Vol. 51, pp. 101652-101652
Open Access | Times Cited: 26
A systematic survey of air quality prediction based on deep learning
Zhen Zhang, Shiqing Zhang, Caimei Chen, et al.
Alexandria Engineering Journal (2024) Vol. 93, pp. 128-141
Open Access | Times Cited: 17
Data-Driven Deep-Learning Model for Predicting Jacking Force of Rectangular Pipe Jacking Tunnel
Yongsuo Li, Xiaoxuan Weng, Da Hu, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 3
Closed Access | Times Cited: 2
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: 80
PM2.5 concentrations forecasting in Beijing through deep learning with different inputs, model structures and forecast time
Jie Yang, Rui Yan, Mingyue Nong, et al.
Atmospheric Pollution Research (2021) Vol. 12, Iss. 9, pp. 101168-101168
Closed Access | Times Cited: 65
Outlet water temperature prediction of energy pile based on spatial-temporal feature extraction through CNN–LSTM hybrid model
Weiyi Zhang, Haiyang Zhou, Xiaohua Bao, et al.
Energy (2022) Vol. 264, pp. 126190-126190
Closed Access | Times Cited: 61
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: 59
Combining two-stage decomposition based machine learning methods for annual runoff forecasting
Shu Chen, Miaomiao Ren, Wei Sun
Journal of Hydrology (2021) Vol. 603, pp. 126945-126945
Closed Access | Times Cited: 58
Predicting PM2.5 atmospheric air pollution using deep learning with meteorological data and ground-based observations and remote-sensing satellite big data
Pratyush Muthukumar, Emmanuel Cocom, Kabir Nagrecha, et al.
Air Quality Atmosphere & Health (2021) Vol. 15, Iss. 7, pp. 1221-1234
Open Access | Times Cited: 57
Multi-step forecast of PM2.5 and PM10 concentrations using convolutional neural network integrated with spatial–temporal attention and residual learning
Kefei Zhang, Xiaolin Yang, Hua Cao, et al.
Environment International (2022) Vol. 171, pp. 107691-107691
Open Access | Times Cited: 51
Wind speed estimation using novelty hybrid adaptive estimation model based on decomposition and deep learning methods (ICEEMDAN-CNN)
Cem Emeksiz, Mustafa Tan
Energy (2022) Vol. 249, pp. 123785-123785
Closed Access | Times Cited: 45
A Survey of Convolutional Neural Network in Breast Cancer
Ziquan Zhu, Shuihua Wang‎, Yudong Zhang
Computer Modeling in Engineering & Sciences (2022) Vol. 136, Iss. 3, pp. 2127-2172
Open Access | Times Cited: 43
A CNN-Bi_LSTM parallel network approach for train travel time prediction
Jingwei Guo, Wei Wang, Yinying Tang, et al.
Knowledge-Based Systems (2022) Vol. 256, pp. 109796-109796
Closed Access | Times Cited: 40
Predicting next hour fine particulate matter (PM2.5) in the Istanbul Metropolitan City using deep learning algorithms with time windowing strategy
Beytullah Eren, İpek Aksangür, Caner Erden
Urban Climate (2023) Vol. 48, pp. 101418-101418
Closed Access | Times Cited: 39
Long short-term memory models of water quality in inland water environments
JongCheol Pyo, Yakov Pachepsky, Soobin Kim, et al.
Water Research X (2023) Vol. 21, pp. 100207-100207
Open Access | Times Cited: 31
The application of machine learning to air pollution research: A bibliometric analysis
Yunzhe Li, Zhipeng Sha, Aohan Tang, et al.
Ecotoxicology and Environmental Safety (2023) Vol. 257, pp. 114911-114911
Open Access | Times Cited: 29
Solar Radiation Forecasting Based on the Hybrid CNN-CatBoost Model
Hyojeoung Kim, Sujin Park, Hee-Jun Park, et al.
IEEE Access (2023) Vol. 11, pp. 13492-13500
Open Access | Times Cited: 27
Deep learning coupled model based on TCN-LSTM for particulate matter concentration prediction
Ying Ren, Siyuan Wang, Bisheng Xia
Atmospheric Pollution Research (2023) Vol. 14, Iss. 4, pp. 101703-101703
Closed Access | Times Cited: 27
Real time image-based air quality forecasts using a 3D-CNN approach with an attention mechanism
Khalid Elbaz, Wafaa Mohamed Shaban, Annan Zhou, et al.
Chemosphere (2023) Vol. 333, pp. 138867-138867
Closed Access | Times Cited: 26
A rapid analysis framework for seismic response prediction and running safety assessment of train-bridge coupled systems
Peng Zhang, Han Zhao, Zhanjun Shao, et al.
Soil Dynamics and Earthquake Engineering (2023) Vol. 177, pp. 108386-108386
Closed Access | Times Cited: 25
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