Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Mobile monitoring of urban air quality at high spatial resolution by low-cost sensors: impacts of COVID-19 pandemic lockdown
Shibao Wang, Yun Ma, Zhongrui Wang, et al.
Atmospheric chemistry and physics (2021) Vol. 21, Iss. 9, pp. 7199-7215
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Evaluating cost and benefit of air pollution control policies in China: A systematic review
Xinyuan Liu, Chaoyi Guo, Yazhen Wu, et al.
Journal of Environmental Sciences (2022) Vol. 123, pp. 140-155
Closed Access | Times Cited: 46
Leveraging machine learning algorithms to advance low-cost air sensor calibration in stationary and mobile settings
An Wang, Yuki Machida, Priyanka deSouza, et al.
Atmospheric Environment (2023) Vol. 301, pp. 119692-119692
Open Access | Times Cited: 39
Predicting high-resolution air quality using machine learning: Integration of large eddy simulation and urban morphology data
Shibao Wang, Jeremy McGibbon, Yanxu Zhang
Environmental Pollution (2024) Vol. 344, pp. 123371-123371
Closed Access | Times Cited: 14
A review of Space-Air-Ground integrated remote sensing techniques for atmospheric monitoring
Bin Zhou, Sanbao Zhang, Ruibin Xue, et al.
Journal of Environmental Sciences (2021) Vol. 123, pp. 3-14
Closed Access | Times Cited: 39
Large-eddy simulation of traffic-related air pollution at a very high resolution in a mega-city: evaluation against mobile sensors and insights for influencing factors
Yanxu Zhang, Xingpei Ye, Shibao Wang, et al.
Atmospheric chemistry and physics (2021) Vol. 21, Iss. 4, pp. 2917-2929
Open Access | Times Cited: 35
Impacts of pollution heterogeneity on population exposure in dense urban areas using ultra-fine resolution air quality data
Wenwei Che, Yumiao Zhang, Changqing Lin, et al.
Journal of Environmental Sciences (2022) Vol. 125, pp. 513-523
Closed Access | Times Cited: 22
Enhancing Sustainable Management of Waste Dump Sites with Smart Drones and Geospatial Tech
Naveen Chandra Gowda, H N Veena, A RAJAGOPAL, et al.
(2025), pp. 303-324
Closed Access
Empowering communities: Advancements in air quality monitoring and citizen engagement
Hélder Relvas, Diogo Lopes, Jan Mateu Armengol
Urban Climate (2025) Vol. 60, pp. 102344-102344
Open Access
Future assessment of the impact of the COVID-19 pandemic on the electricity market based on a stochastic socioeconomic model
Vinicius Costa, Lígia Cintra Pereira, Jorge Vleberton Bessa de Andrade, et al.
Applied Energy (2022) Vol. 313, pp. 118848-118848
Open Access | Times Cited: 19
Global, high-resolution mapping of tropospheric ozone – explainable machine learning and impact of uncertainties
Clara Betancourt, Timo T. Stomberg, Ann-Kathrin Edrich, et al.
Geoscientific model development (2022) Vol. 15, Iss. 11, pp. 4331-4354
Open Access | Times Cited: 19
Impact of the COVID-19 on the vertical distributions of major pollutants from a tower in the Pearl River Delta
Lei Li, Chao Lu, Pak Wai Chan, et al.
Atmospheric Environment (2022) Vol. 276, pp. 119068-119068
Open Access | Times Cited: 18
Development of a Unified IoT Platform for Assessing Meteorological and Air Quality Data in a Tropical Environment
David Kairúz-Cabrera, Victor Hernandez-Rodriguez, Olivier Schalm, et al.
Sensors (2024) Vol. 24, Iss. 9, pp. 2729-2729
Open Access | Times Cited: 3
Machine learning assisted prediction of land surface temperature (LST) based on major air pollutants over the Annamayya District of India
Jagadish Kumar Mogaraju
International Journal of Engineering and Geosciences (2024) Vol. 9, Iss. 2, pp. 233-246
Open Access | Times Cited: 3
Machine learning techniques to improve the field performance of low-cost air quality sensors
Tony Bush, Nick Papaioannou, Felix Leach, et al.
Atmospheric measurement techniques (2022) Vol. 15, Iss. 10, pp. 3261-3278
Open Access | Times Cited: 15
Low-Cost Portable System for the Estimation of Air Quality
Erik Hernández-Rodríguez, David Kairúz-Cabrera, Alain Martínez, et al.
Studies in systems, decision and control (2023), pp. 287-297
Closed Access | Times Cited: 8
Air Quality Monitoring and Analysis for Sustainable Development of Solid Waste Dump Yards Using Smart Drones and Geospatial Technology
R. Rani Hemamalini, Shanthini Balusamy, Pachaivannan Partheeban, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13347-13347
Open Access | Times Cited: 8
Quantifying and predicting air quality on different road types in urban environments using mobile monitoring and automated machine learning
Chunping Miao, Zhong‐Ren Peng, Aiwei Cui, et al.
Atmospheric Pollution Research (2023) Vol. 15, Iss. 3, pp. 102015-102015
Closed Access | Times Cited: 8
Development and Performance Evaluation of a Low-Cost Portable PM2.5 Monitor for Mobile Deployment
Mingjian Chen, Weichang Yuan, Chang Cao, et al.
Sensors (2022) Vol. 22, Iss. 7, pp. 2767-2767
Open Access | Times Cited: 13
Characterizing spatiotemporal patterns of elevated PM2.5 exposures in a megacity of China using combined mobile and stationary measurements
Guancong Huang, Zhijiong Huang, Chanfang Liu, et al.
Atmospheric Environment (2023) Vol. 307, pp. 119821-119821
Closed Access | Times Cited: 7
Data fusion uncertainty-enabled methods to map street-scale hourly NO2 in Barcelona: a case study with CALIOPE-Urban v1.0
Álvaro Criado, Jan Mateu Armengol, Hervé Petetin, et al.
Geoscientific model development (2023) Vol. 16, Iss. 8, pp. 2193-2213
Open Access | Times Cited: 7
Spatial distribution of air pollutants in different urban functional zones based on mobile monitoring and CFD simulation
Y Liu, Chunping Miao, Aiwei Cui, et al.
International Journal of Environmental Science and Technology (2024)
Closed Access | Times Cited: 2
Pinpointing sources of pollution using citizen science and hyperlocal low-cost mobile source apportionment
Dimitrios Bousiotis, Seny Damayanti, Arunik Baruah, et al.
Environment International (2024) Vol. 193, pp. 109069-109069
Open Access | Times Cited: 2
AQ-Bench: a benchmark dataset for machine learning on global air quality metrics
Clara Betancourt, Timo T. Stomberg, Ribana Roscher, et al.
Earth system science data (2021) Vol. 13, Iss. 6, pp. 3013-3033
Open Access | Times Cited: 16
Atmospheric environment monitoring technology and equipment in China: A review and outlook
Youwen Sun, Ting Yang, Huaqiao Gui, et al.
Journal of Environmental Sciences (2022) Vol. 123, pp. 41-53
Closed Access | Times Cited: 12
Monitoring the Impact of COVID-19 Lockdown on the Production of Nitrogen Dioxide (NO2) Pollutants Using Satellite Imagery: A Case Study of South Asia
Farhad Hassan, Muhammad Umar Chaudhry, Muhammad Yasir, et al.
Sustainability (2021) Vol. 13, Iss. 13, pp. 7184-7184
Open Access | Times Cited: 15
Page 1 - Next Page

Scroll to top