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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:

Predicting Fine Spatial Scale Traffic Noise Using Mobile Measurements and Machine Learning
Xiaozhe Yin, Masoud Fallah-Shorshani, Rob McConnell, et al.
Environmental Science & Technology (2020) Vol. 54, Iss. 20, pp. 12860-12869
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Applied Machine Learning for Prediction of CO2 Adsorption on Biomass Waste-Derived Porous Carbons
Xiangzhou Yuan, Manu Suvarna, S.M. Low, et al.
Environmental Science & Technology (2021) Vol. 55, Iss. 17, pp. 11925-11936
Open Access | Times Cited: 249
Traffic noise assessment in urban Bulgaria using explainable machine learning
Marco Helbich, Julian Hagenauer, Angel Burov, et al.
Sustainable Cities and Society (2025), pp. 106169-106169
Open Access | Times Cited: 1
Predicting highly dynamic traffic noise using rotating mobile monitoring and machine learning method
Yuyang Zhang, Huimin Zhao, Yan Li, et al.
Environmental Research (2023) Vol. 229, pp. 115896-115896
Closed Access | Times Cited: 22
Data-driven approaches linking wastewater and source estimation hazardous waste for environmental management
Wenjun Xie, Qingyuan Yu, Wen Fang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 8
Study on the network acoustics environment effects of traffic management measures by a bilevel programming model
Xiaolin Yan, Zhaolang Wu, Zhipeng Wu, et al.
Sustainable Cities and Society (2024) Vol. 101, pp. 105203-105203
Closed Access | Times Cited: 7
STUDY OF MACHINE LEARNING ON THE PHOTOCATALYTIC ACTIVITY OF A NOVEL NANOZEOLITE FOR THE APPLICATION IN THE RHODAMINE B DYE DEGRADATION
Leandro Rodrigues Oviedo, Daniel Moro Druzian, Lissandro Dorneles Dalla Nora, et al.
Catalysis Today (2024) Vol. 443, pp. 114986-114986
Closed Access | Times Cited: 6
Estimating traffic noise over a large urban area: An evaluation of methods
Masoud Fallah-Shorshani, Xiaozhe Yin, Rob McConnell, et al.
Environment International (2022) Vol. 170, pp. 107583-107583
Open Access | Times Cited: 21
The state-of-the-art in the application of artificial intelligence-based models for traffic noise prediction: a bibliographic overview
Ibrahim Khalil Umar, Musa Adamu, Nour Mostafa, et al.
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 4
Environmental Influences on Sleep in the California Teachers Study Cohort
Charlie Zhong, Travis Longcore, Jennifer L. Benbow, et al.
American Journal of Epidemiology (2021) Vol. 191, Iss. 9, pp. 1532-1539
Open Access | Times Cited: 25
Application of Machine Learning to Predict the Fluoride Removal Capability of MgO
Lin Fan, Dexi Wang, Honglei Yu, et al.
Journal of environmental chemical engineering (2025) Vol. 13, Iss. 1, pp. 115317-115317
Closed Access
Emerging evidence for the impact of Electric Vehicle sales on childhood asthma: Can ZEV mandates help?
Harshit Gujral, Meredith Franklin, Steve Easterbrook
Environmental Research (2025), pp. 120845-120845
Open Access
Traffic noise evaluation at intersection using roadside light detection and ranging sensor
Yue Wang, Ciyun Lin, Bowen Gong, et al.
Transportation Research Part D Transport and Environment (2025) Vol. 144, pp. 104750-104750
Closed Access
Statistical and spatio-temporal analyses of noise pollution level and its health impact
Neeraj Kumar Singh, Markandeya Tiwari, Manish Manar, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 34, pp. 82951-82963
Closed Access | Times Cited: 9
Sensing noise exposure and its inequality based on noise complaint data through vision-language hybrid method
Yan Zhang, Mei‐Po Kwan, Haoran Ma
Applied Geography (2024) Vol. 171, pp. 103369-103369
Closed Access | Times Cited: 3
Exploring multi-pollution variability in the urban environment: geospatial AI-driven modeling of air and noise
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Mohammadreza Jelokhani‐Niaraki, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2
Exposure models for particulate matter elemental concentrations in Southern California
Xiaozhe Yin, Meredith Franklin, Masoud Fallah-Shorshani, et al.
Environment International (2022) Vol. 165, pp. 107247-107247
Open Access | Times Cited: 9
Application of artificial intelligence algorithms and low-cost sensors to estimate respirable dust in the workplace
Ta-Yuan Chang, Guanyu Chen, Jingjie Chen, et al.
Environment International (2023) Vol. 182, pp. 108317-108317
Open Access | Times Cited: 5
Traffic noise prediction model using GIS and ensemble machine learning: a case study at Universiti Teknologi Malaysia (UTM) Campus
Khaled Yousef Almansi, Uznir Ujang, Suhaibah Azri, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 51, pp. 60905-60926
Closed Access | Times Cited: 1
Estimating near-roadway air pollution from multi-frequency noise measurements
Masoud Fallah-Shorshani, Scott Fruin, Xiaozhe Yin, et al.
The Science of The Total Environment (2024) Vol. 944, pp. 173900-173900
Open Access | Times Cited: 1
Optimizing Regression Models for Predicting Noise Pollution Caused by Road Traffic
Amal A. Al-Shargabi, Abdulbasit Almhafdy, Saleem S. AlSaleem, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10020-10020
Open Access | Times Cited: 3
Traffic Noise Assessment Using Intelligent Acoustic Sensors (Traffic Ear) and Vehicle Telematics Data
Omid Ghaffarpasand, Anwar Almojarkesh, S.J. Morris, et al.
Sensors (2023) Vol. 23, Iss. 15, pp. 6964-6964
Open Access | Times Cited: 3
Strategies and Implications of Noise Pollution Monitoring, Modelling, and Mitigation in Urban Cities
S. K. Tiwari, L. A. Kumaraswamidhas, Naveen Garg
(2023), pp. 1571-1593
Closed Access | Times Cited: 2
Using Redundancy in a Sensor Network to Compensate Sensor Failures
Nicolas P. Winkler, Patrick P. Neumann, Erik Schaffernicht, et al.
IEEE Sensors (2021), pp. 1-4
Closed Access | Times Cited: 5
Strategies and Implications of Noise Pollution Monitoring, Modelling, and Mitigation in Urban Cities
S. K. Tiwari, L. A. Kumaraswamidhas, Naveen Garg
(2023), pp. 1-23
Closed Access | Times Cited: 1
Estimating Near-Roadway Air Pollution from Multi-Frequency Noise Measurements
Masoud Fallah-Shorshani, Scott Fruin, Xiaozhe Yin, et al.
(2024)
Closed Access
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