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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:

Artificial intelligence-based prediction of indoor bioaerosol concentrations from indoor air quality sensor data
Justin Y. Y. Lee, Yanhao Miao, Ricky L.T. Chau, et al.
Environment International (2023) Vol. 174, pp. 107900-107900
Open Access | Times Cited: 18

Showing 18 citing articles:

Optimizing NZEB Performance: A Review of Design Strategies and Case Studies
Mohanad M. Ibrahim, María José Suárez‐López, A. A. Salama, et al.
Results in Engineering (2025), pp. 103950-103950
Open Access | Times Cited: 2
Using artificial neural networks to predict indoor particulate matter and TVOC concentration in an office building: Model selection and method development
Saren Gaowa, Zhen Zhang, Jianchun Nie, et al.
Energy and Built Environment (2024)
Open Access | Times Cited: 7
An Overview of Tools and Challenges for Safety Evaluation and Exposure Assessment in Industry 4.0
Spyridon Damilos, Stratos Saliakas, Dimitris Karasavvas, et al.
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4207-4207
Open Access | Times Cited: 5
Interactive mapping of allergenic urban street trees in Australia
D. Krwanji, A. Hopkins, K. Lemson, et al.
Urban forestry & urban greening (2025), pp. 128718-128718
Closed Access
Integrating large language models, reinforcement learning, and machine learning for intelligent indoor thermal comfort regulation
Deli Liu, Feng Ling, Xiaoping Zhou, et al.
Architectural Science Review (2025), pp. 1-14
Closed Access
Machine learning models for predicting indoor airborne fungal concentrations in public facilities utilizing environmental variables
Bong Gu Lee, KiHeon Jeong, Han Kim, et al.
Environmental Pollution (2025), pp. 125684-125684
Closed Access
Exploring indoor PM2.5 pollution characteristics in Xi'an city and its health implications using interpretable machine learning
Zezhi Peng, Jiaer Yang, Jian Sun, et al.
Sustainable Horizons (2025) Vol. 13, pp. 100131-100131
Open Access
Determination of the trend and spatial distribution of microbial levels based on space and occupant characteristics
Dahae Seong, Mark H. Weir, Shamia Hoque
Journal of Building Engineering (2024) Vol. 89, pp. 109240-109240
Closed Access | Times Cited: 3
A new tool for energy conservation in operating room: The role of machine learning models in enhancing airflow control
Zhijian Liu, Zhenzhe Huang, Haochuan Li, et al.
Energy and Buildings (2024) Vol. 309, pp. 114072-114072
Closed Access | Times Cited: 1
Do Applications of Artificial Intelligence (AI) Contribute to the Mitigation of Hazardous Environments? An Analysis Based on Various Pillars of AI
Hui Shan Lee, Kee Seng Kuang, Ping Xin Liew, et al.
(2024), pp. 287-292
Closed Access | Times Cited: 1
Prediction models of bioaerosols inside office buildings: A field study investigation
Dong Jiang, Xiaoqiang Gong, Zhengsong Xu, et al.
Building Services Engineering Research and Technology (2023) Vol. 44, Iss. 5, pp. 577-600
Closed Access | Times Cited: 3
Exploring Indoor Air Pollution Characteristics in Xi’An City and its Health Implications Using Interpretable Machine Learning
Zezhi Peng, Jiaer Yang, Jian Sun, et al.
(2024)
Closed Access
Strategies for Reducing Exposure to Airborne Biological Contaminants in Indoor Environments
Maneet Kumar Chakrawarti, Madhuri Singh, Kasturi Mukhopadhyay
(2024), pp. 341-356
Closed Access
Research on the design of indoor air quality monitoring system based on cloud-side-end collaboration
Liang Yu, Laurent Charlin, Haonan Xu, et al.
(2024), pp. 1572-1577
Closed Access
Enhanced Detection of Primary Biological Aerosol Particles Using Machine Learning and Single-Particle Measurement
Ashfiqur Rahman, Nurun Nahar Lata, Bruna G. Sebben, et al.
ACS ES&T Engineering (2024) Vol. 4, Iss. 10, pp. 2393-2402
Closed Access
An Innovative Geo-AI Approach in Estimating High-Resolution Urban Ambient Fungal Spore Variations
Pei-Yi Wong, Huey‐Jen Su, Hsing Jasmine Chao, et al.
Earth Systems and Environment (2024)
Closed Access
Predicting and Analyzing Indoor Air Quality in Inpatient Wards Using Iot-Based Long-Term Data and Machine Learning
Jehyun Kim, Minki Sung
(2024)
Closed Access
Improving Public Health Policies with Indoor Air Quality Predictive Models
Ariel Isaac Posada Barrera, Laura M. Rodríguez Peralta, Eldman de Oliveira Nunes, et al.
2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2023), pp. 221-226
Closed Access
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