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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:

Sequential prediction of quantitative health risk assessment for the fine particulate matter in an underground facility using deep recurrent neural networks
Jorge Loy-Benitez, Paulina Vilela, Qian Li, et al.
Ecotoxicology and Environmental Safety (2018) Vol. 169, pp. 316-324
Closed Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

A deep learning-based forecasting model for renewable energy scenarios to guide sustainable energy policy: A case study of Korea
KiJeon Nam, Soonho Hwangbo, ChangKyoo Yoo
Renewable and Sustainable Energy Reviews (2020) Vol. 122, pp. 109725-109725
Closed Access | Times Cited: 214
Machine learning and statistical models for predicting indoor air quality
Wenjuan Wei, Olivier Ramalho, Laeticia Malingre, et al.
Indoor Air (2019) Vol. 29, Iss. 5, pp. 704-726
Open Access | Times Cited: 176
A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment
Wuxia Zhang, Yupeng Wu, John Kaiser Calautit
Renewable and Sustainable Energy Reviews (2022) Vol. 167, pp. 112704-112704
Open Access | Times Cited: 138
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
Fuzzy Logic and Neural Network-based Risk Assessment Model for Import and Export Enterprises: A Review
Na Luo, Yu Hua, Zeqing You, et al.
Journal of Data Science and Intelligent Systems (2023) Vol. 1, Iss. 1, pp. 2-11
Open Access | Times Cited: 70
AI Management Platform for Privacy-Preserving Indoor Air Quality Control: Review and future directions
Tran Van Quang, Dat Tien Doan, Nat Jack, et al.
Journal of Building Engineering (2025), pp. 111712-111712
Open Access | Times Cited: 1
Sustainable and reliable design of reverse osmosis desalination with hybrid renewable energy systems through supply chain forecasting using recurrent neural networks
Qian Li, Jorge Loy-Benitez, KiJeon Nam, et al.
Energy (2019) Vol. 178, pp. 277-292
Open Access | Times Cited: 98
Seamless integration of convolutional and back-propagation neural networks for regional multi-step-ahead PM2.5 forecasting
Pu-Yun Kow, Yi-Shin Wang, Yanlai Zhou, et al.
Journal of Cleaner Production (2020) Vol. 261, pp. 121285-121285
Open Access | Times Cited: 80
Integrated artificial neural network prediction model of indoor environmental quality in a school building
Ji Hyeon Cho, Jin Woo Moon
Journal of Cleaner Production (2022) Vol. 344, pp. 131083-131083
Closed Access | Times Cited: 54
Quantifying the dynamic characteristics of indoor air pollution using real-time sensors: Current status and future implication
Jinze Wang, Wei Du, Yali Lei, et al.
Environment International (2023) Vol. 175, pp. 107934-107934
Open Access | Times Cited: 34
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: 34
A decision-aid system for subway microenvironment health risk intervention based on backpropagation neural network and permutation feature importance method
Qiwen Chen, Peng Mao, Shi‐Yao Zhu, et al.
Building and Environment (2024) Vol. 253, pp. 111292-111292
Closed Access | Times Cited: 8
Soft sensor validation for monitoring and resilient control of sequential subway indoor air quality through memory-gated recurrent neural networks-based autoencoders
Jorge Loy-Benitez, SungKu Heo, ChangKyoo Yoo
Control Engineering Practice (2020) Vol. 97, pp. 104330-104330
Closed Access | Times Cited: 57
Predicting PM2.5 in Well-Mixed Indoor Air for a Large Office Building Using Regression and Artificial Neural Network Models
Brent Lagesse, Shuoqi Wang, Timothy V. Larson, et al.
Environmental Science & Technology (2020) Vol. 54, Iss. 23, pp. 15320-15328
Closed Access | Times Cited: 57
RNN-Based Subway Passenger Flow Rolling Prediction
Shouwei Sha, Jing Li, Ke Zhang, et al.
IEEE Access (2020) Vol. 8, pp. 15232-15240
Open Access | Times Cited: 56
Intelligent sensor validation for sustainable influent quality monitoring in wastewater treatment plants using stacked denoising autoencoders
Abdulrahman H. Ba-Alawi, Paulina Vilela, Jorge Loy-Benitez, et al.
Journal of Water Process Engineering (2021) Vol. 43, pp. 102206-102206
Closed Access | Times Cited: 45
Low-Cost Air Quality Sensing towards Smart Homes
Hamid Omidvarborna, Prashant Kumar, Joe Hayward, et al.
Atmosphere (2021) Vol. 12, Iss. 4, pp. 453-453
Open Access | Times Cited: 42
A Review on Indoor Environment Quality of Indian School Classrooms
Nishant Raj Kapoor, Ashok Kumar, Tabish Alam, et al.
Sustainability (2021) Vol. 13, Iss. 21, pp. 11855-11855
Open Access | Times Cited: 42
Predicting PM10 and PM2.5 concentration in container ports: A deep learning approach
So-Young Park, Su‐Han Woo, Changwon Lim
Transportation Research Part D Transport and Environment (2023) Vol. 115, pp. 103601-103601
Closed Access | Times Cited: 19
Tropical climates and the interplay between IEQ and energy consumption in buildings: A review
Ashutosh Kumar Verma, Vallary Gupta, Kopal Nihar, et al.
Building and Environment (2023) Vol. 242, pp. 110551-110551
Closed Access | Times Cited: 17
Incorporating Temporal Multi-Head Self-Attention Convolutional Networks and LightGBM for Indoor Air Quality Prediction
Yifeng Lu, Jinyong Wang, Dongsheng Wang, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111569-111569
Closed Access | Times Cited: 7
Sustainable subway indoor air quality monitoring and fault-tolerant ventilation control using a sparse autoencoder-driven sensor self-validation
Jorge Loy-Benitez, Qian Li, KiJeon Nam, et al.
Sustainable Cities and Society (2019) Vol. 52, pp. 101847-101847
Closed Access | Times Cited: 50
Indoor air quality prediction systems for smart environments: A systematic review
Jagriti Saini, Maitreyee Dutta, Gonçalo Marques
Journal of Ambient Intelligence and Smart Environments (2020) Vol. 12, Iss. 5, pp. 433-453
Closed Access | Times Cited: 43
Imputing missing indoor air quality data via variational convolutional autoencoders: Implications for ventilation management of subway metro systems
Jorge Loy-Benitez, SungKu Heo, ChangKyoo Yoo
Building and Environment (2020) Vol. 182, pp. 107135-107135
Closed Access | Times Cited: 42
Transfer learning driven sequential forecasting and ventilation control of PM2.5 associated health risk levels in underground public facilities
Shahzeb Tariq, Jorge Loy-Benitez, KiJeon Nam, et al.
Journal of Hazardous Materials (2020) Vol. 406, pp. 124753-124753
Closed Access | Times Cited: 39
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