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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:

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

Showing 1-25 of 39 citing articles:

AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
Yassine Himeur, Mariam Elnour, Fodil Fadli, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 6, pp. 4929-5021
Open Access | Times Cited: 261
Deep and transfer learning for building occupancy detection: A review and comparative analysis
Aya Nabil Sayed, Yassine Himeur, Fayçal Bensaali
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105254-105254
Open Access | Times Cited: 88
Next-generation energy systems for sustainable smart cities: Roles of transfer learning
Yassine Himeur, Mariam Elnour, Fodil Fadli, et al.
Sustainable Cities and Society (2022) Vol. 85, pp. 104059-104059
Open Access | Times Cited: 87
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
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: 36
A refined deep-learning-based algorithm for harmful-algal-bloom remote-sensing recognition using Noctiluca scintillans algal bloom as an example
Rongjie Liu, Binge Cui, Wenwen Dong, et al.
Journal of Hazardous Materials (2024) Vol. 467, pp. 133721-133721
Closed Access | Times Cited: 9
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
Attention Driven–Chained Transfer Learning for Generalized Sequential State of Charge Forecasting in Vanadium Redox Flow Batteries
Shahzeb Tariq, Usama Ali, A. Seshagiri Rao, et al.
International Journal of Energy Research (2025) Vol. 2025, Iss. 1
Open Access
Evaluating the Benefits of Indoor Air Quality Forecasting for Controlling Particle Filter Systems
Alexander Y. Mendell, Jeffrey A. Siegel, Seungjae Lee
ACS ES&T Air (2025)
Closed Access
Validation of Subway Indoor Air Quality (IAQ) Data Using Memory-Augmented Autoencoders with Learned Normal Prototypes
Vahid Ghorbani, Shahzeb Tariq, ChangKyoo Yoo
Korean Journal of Chemical Engineering (2025)
Closed Access
Transfer component analysis-driven domain adaptation approach for estimating the life of tunnel boring machine disc cutters
Jorge Loy-Benitez, Hyun-Koo Lee, Myung Kyu Song, et al.
Tunnelling and Underground Space Technology (2024) Vol. 147, pp. 105714-105714
Closed Access | Times Cited: 4
Subway air quality modeling using improved deep learning framework
Duanwu Yang, Jinyong Wang, Xiaoan Yan, et al.
Process Safety and Environmental Protection (2022) Vol. 163, pp. 487-497
Closed Access | Times Cited: 18
Deep Learning-Based Indoor Air Quality Forecasting Framework for Indoor Subway Station Platforms
Ahtesham Bakht, Shambhavi Sharma, Duckshin Park, et al.
Toxics (2022) Vol. 10, Iss. 10, pp. 557-557
Open Access | Times Cited: 16
Breaking new ground: Opportunities and challenges in tunnel boring machine operations with integrated management systems and artificial intelligence
Jorge Loy-Benitez, Myung Kyu Song, Yo-Hyun Choi, et al.
Automation in Construction (2023) Vol. 158, pp. 105199-105199
Open Access | Times Cited: 10
Multi-source variational mode transfer learning for enhanced PM2.5 concentration forecasting at data-limited monitoring stations
Bozhi Yao, Guang Ling, Feng Liu, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121714-121714
Closed Access | Times Cited: 9
Volumetric monitoring of airborne particulate matter concentration using smartphone-based digital holographic microscopy and deep learning
Jihwan Kim, Taesik Go, Sang Joon Lee
Journal of Hazardous Materials (2021) Vol. 418, pp. 126351-126351
Closed Access | Times Cited: 21
A Review of Artificial Neural Network Models Applied to Predict Indoor Air Quality in Schools
Jierui Dong, Nigel Goodman, Priyadarsini Rajagopalan
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 15, pp. 6441-6441
Open Access | Times Cited: 8
Neural circuit policies-based temporal flexible soft-sensor modeling of subway PM2.5 with applications on indoor air quality management
Jorge Loy-Benitez, Shahzeb Tariq, Hai-Tra Nguyen, et al.
Building and Environment (2021) Vol. 207, pp. 108537-108537
Closed Access | Times Cited: 18
Deep-AI soft sensor for sustainable health risk monitoring and control of fine particulate matter at sensor devoid underground spaces: A zero-shot transfer learning approach
Shahzeb Tariq, Jorge Loy-Benitez, KiJeon Nam, et al.
Tunnelling and Underground Space Technology (2022) Vol. 131, pp. 104843-104843
Closed Access | Times Cited: 13
Prediction and assessment of the impact of COVID-19 lockdown on air quality over Kolkata: a deep transfer learning approach
Debashree Dutta, Sankar K. Pal
Environmental Monitoring and Assessment (2022) Vol. 195, Iss. 1
Open Access | Times Cited: 13
Enhancing the sustainable management of fine particulate matter-related health risks at subway stations through sequential forecast and gated probabilistic transformer
Shahzeb Tariq, Jorge Loy-Benitez, ChangKyoo Yoo
Building and Environment (2023) Vol. 244, pp. 110780-110780
Closed Access | Times Cited: 7
Assessing and predicting indoor environmental quality in 13 naturally ventilated urban residential dwellings
Huimin Yao, Xiong Shen, Wentao Wu, et al.
Building and Environment (2024) Vol. 253, pp. 111347-111347
Closed Access | Times Cited: 2
Development and characterization of a γ-PGA/PVA/SDBS cross-linked network foam for dust suppression in tunneling construction
Xinjiao Tian, Yixiang Huang, Qiang Zhang, et al.
Journal of environmental chemical engineering (2024) Vol. 13, Iss. 1, pp. 115085-115085
Closed Access | Times Cited: 2
The Construction and Migration of a Multi-source Integrated Drought Index Based on Different Machine Learning
Hui Yue, Xiangyu Yu, Ying Liu, et al.
Water Resources Management (2023) Vol. 37, Iss. 15, pp. 5989-6004
Closed Access | Times Cited: 6
An overview of artificial intelligence in subway indoor air quality prediction and control
Jinyong Wang, ChangKyoo Yoo, Hongbin Liu
Process Safety and Environmental Protection (2023) Vol. 178, pp. 652-662
Closed Access | Times Cited: 5
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