109 citations as recorded by crossref.

1. The Effects of Pandemic Restrictions on Public Health—Improvements in Urban Air Quality G. Cioca & R. Nerişanu 10.3390/ijerph19159022
2. Footprints of COVID-19 on Pollution in Southern Spain E. Wirth et al. 10.3390/atmos13111928
3. What can we learn about urban air quality with regard to the first outbreak of the COVID-19 pandemic? A case study from central Europe I. Salma et al. 10.5194/acp-20-15725-2020
4. Quantitative estimation of meteorological impacts and the COVID-19 lockdown reductions on NO2 and PM2.5 over the Beijing area using Generalized Additive Models (GAM) J. Hua et al. 10.1016/j.jenvman.2021.112676
5. Machine Learning on the COVID-19 Pandemic, Human Mobility and Air Quality: A Review M. Rahman et al. 10.1109/ACCESS.2021.3079121
6. Assessment of COVID-19 effects on satellite-observed aerosol loading over China with machine learning H. Andersen et al. 10.1080/16000889.2021.1971925
7. Impact of COVID-19 Lockdown on NO2 Pollution and the Associated Health Burden in China: A Comparison of Different Approaches Z. Li 10.3390/toxics12080580
8. Secondary PM<sub>2.5</sub> decreases significantly less than NO<sub>2</sub> emission reductions during COVID lockdown in Germany V. Balamurugan et al. 10.5194/acp-22-7105-2022
9. The Impact of COVID-19 Lockdowns on Air Quality—A Global Review A. Addas & A. Maghrabi 10.3390/su131810212
10. Satellite observations showed a negligible reduction in NO2 pollution due to COVID-19 lockdown over Poland E. Ugboma et al. 10.3389/fenvs.2023.1172753
11. Response of atmospheric composition to COVID-19 lockdown measures during spring in the Paris region (France) J. Petit et al. 10.5194/acp-21-17167-2021
12. Air quality and health impact of 2019–20 Black Summer megafires and COVID-19 lockdown in Melbourne and Sydney, Australia R. Ryan et al. 10.1016/j.envpol.2021.116498
13. The impact of the COVID-19 pandemic on air pollution: A global assessment using machine learning techniques J. Wijnands et al. 10.1016/j.apr.2022.101438
14. Novel quantification of regional fossil fuel CO2reductions during COVID-19 lockdowns using atmospheric oxygen measurements P. Pickers et al. 10.1126/sciadv.abl9250
15. Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature review S. Bibri et al. 10.1186/s42162-023-00259-2
16. Effects of COVID-19 pandemic control measures on air pollution in Lima metropolitan area, Peru in South America J. Rojas et al. 10.1007/s11869-021-00990-3
17. The global impacts of COVID-19 lockdowns on urban air pollution G. Gkatzelis et al. 10.1525/elementa.2021.00176
18. Implications of COVID-19 lockdowns on surface passenger mobility and related CO2 emission changes in Europe M. Schulte-Fischedick et al. 10.1016/j.apenergy.2021.117396
19. Price Prediction of Bitcoin Based on Adaptive Feature Selection and Model Optimization Y. Zhu et al. 10.3390/math11061335
20. Implications of COVID-19 Restriction Measures in Urban Air Quality of Thessaloniki, Greece: A Machine Learning Approach D. Akritidis et al. 10.3390/atmos12111500
21. Assessment of COVID-19 Lockdown Impact on the Air Quality in Eastern Spain: PM and BTX in Urban, Suburban and Rural Sites Exposed to Different Emissions M. Ródenas et al. 10.3390/atmos13010097
22. Significant reduction of ultrafine particle emission fluxes to the urban atmosphere during the COVID-19 lockdown A. Straaten et al. 10.1016/j.scitotenv.2022.156516
23. Application of Machine Learning to Estimate Ammonia Atmospheric Emissions and Concentrations A. Marongiu et al. 10.3390/air2010003
24. Geospatial Technology-Based Analysis of Air Quality in India during the COVID-19 Pandemic A. Taloor et al. 10.3390/rs14184650
25. Effect of Lockdown Amid COVID-19 on Ambient Air Quality in 16 Indian Cities A. Mishra et al. 10.3389/frsc.2021.705051
26. Estimating lockdown-induced European NO<sub>2</sub> changes using satellite and surface observations and air quality models J. Barré et al. 10.5194/acp-21-7373-2021
27. Global impact of COVID-19 restrictions on the surface concentrations of nitrogen dioxide and ozone C. Keller et al. 10.5194/acp-21-3555-2021
28. Effect of Extreme Temperatures and Driving Conditions on Gaseous Pollutants of a Euro 6d-Temp Gasoline Vehicle B. Giechaskiel et al. 10.3390/atmos12081011
29. Global Changes in Secondary Atmospheric Pollutants During the 2020 COVID‐19 Pandemic B. Gaubert et al. 10.1029/2020JD034213
30. Toward Understanding the Variation of Air Quality Based on a Comprehensive Analysis in Hebei Province under the Influence of COVID-19 Lockdown S. Jiang et al. 10.3390/atmos12020267
31. Change Points Detection and Trend Analysis to Characterize Changes in Meteorologically Normalized Air Pollutant Concentrations R. Gagliardi & C. Andenna 10.3390/atmos13010064
32. COVID-19 induced lower-tropospheric ozone changes M. Mertens et al. 10.1088/1748-9326/abf191
33. TELETRABAJO, CRISIS DE LA COVID-19 Y ADMINISTRACIONES PÚBLICAS: UNA MIRADA SOCIOLÓGICA A. BELZUNEGUI ERASO 10.47623/ivap-rvgp.19.2020.ab.06
34. Importance of meteorology and chemistry in determining air pollutant levels during COVID-19 lockdown in Indian cities L. Crilley et al. 10.1039/D1EM00187F
35. A causal machine-learning framework for studying policy impact on air pollution: a case study in COVID-19 lockdowns C. Heffernan et al. 10.1093/aje/kwae171
36. Can satellite data on air pollution predict industrial production? J. Bricongne et al. 10.2139/ssrn.3967146
37. Changes in tropospheric ozone concentration over Indo-Gangetic Plains: the role of meteorological parameters S. Payra et al. 10.1007/s00703-022-00932-3
38. Time-resolved emission reductions for atmospheric chemistry modelling in Europe during the COVID-19 lockdowns M. Guevara et al. 10.5194/acp-21-773-2021
39. Understanding and revealing the intrinsic impacts of the COVID-19 lockdown on air quality and public health in North China using machine learning Y. Lv et al. 10.1016/j.scitotenv.2022.159339
40. Impacts of the Chengdu 2021 world university games on NO2 pollution: Implications for urban vehicle electrification promotion X. Zheng et al. 10.1016/j.scitotenv.2024.175073
41. Multi-step ahead ozone level forecasting using a component-based technique: A case study in Lima, Peru F. Quispe et al. 10.3934/environsci.2024020
42. Change of CO Concentration Due to the COVID-19 Lockdown in China Observed by Surface and Satellite Observations M. Zhou et al. 10.3390/rs13061129
43. Changes in Urban Gas-Phase Persistent Organic Pollutants During the COVID-19 Lockdown in Barcelona R. Prats et al. 10.3389/fenvs.2021.650539
44. Changes of air quality and its associated health and economic burden in 31 provincial capital cities in China during COVID-19 pandemic D. Nie et al. 10.1016/j.atmosres.2020.105328
45. The positive impact of the Omicron pandemic lockdown on air quality and human health in cities around Shanghai Y. Wang & Q. Ge 10.1007/s10668-023-03071-w
46. Trends in CO, CO2, CH4, BC, and NOx during the First 2020 COVID-19 Lockdown: Source Insights from the WMO/GAW Station of Lamezia Terme (Calabria, Southern Italy) F. D’Amico et al. 10.3390/su16188229
47. Analysis on the Effect of the Mobility of Combustion Vehicles in the Environment of Cities and the Improvement in Air Pollution in Europe: A Vision for the Awareness of Citizens and Policy Makers J. Cárcel-Carrasco et al. 10.3390/land10020184
48. Increased ozone pollution alongside reduced nitrogen dioxide concentrations during Vienna’s first COVID-19 lockdown: Significance for air quality management M. Brancher 10.1016/j.envpol.2021.117153
49. The effects of the COVID-19 lockdowns on the composition of the troposphere as seen by In-service Aircraft for a Global Observing System (IAGOS) at Frankfurt H. Clark et al. 10.5194/acp-21-16237-2021
50. Gradient Boosting Machine to Assess the Public Protest Impact on Urban Air Quality R. Zalakeviciute et al. 10.3390/app112412083
51. A case study application of machine-learning for the detection of greenhouse gas emission sources J. Shaw et al. 10.1016/j.apr.2022.101563
52. The AirGAM 2022r1 air quality trend and prediction model S. Walker et al. 10.5194/gmd-16-573-2023
53. A global observational analysis to understand changes in air quality during exceptionally low anthropogenic emission conditions R. Sokhi et al. 10.1016/j.envint.2021.106818
54. COVID-19-Related Changes in NO2 and O3 Concentrations and Associated Health Effects in Malta S. Fenech et al. 10.3389/frsc.2021.631280
55. Local Analysis of Air Quality Changes in the Community of Madrid before and during the COVID-19 Induced Lockdown M. Betancourt-Odio et al. 10.3390/atmos12060659
56. Response of surface ozone concentration to emission reduction and meteorology during the COVID‐19 lockdown in Europe A. Deroubaix et al. 10.1002/met.1990
57. Deep Learning Approach for Assessing Air Quality During COVID-19 Lockdown in Quito P. Chau et al. 10.3389/fdata.2022.842455
58. Evaluation of NOx emissions before, during, and after the COVID-19 lockdowns in China: A comparison of meteorological normalization methods Q. Wu et al. 10.1016/j.atmosenv.2022.119083
59. Changes in Anthropogenic Aerosols during the First Wave of COVID-19 Lockdowns in the Context of Long-Term Historical Trends at 51 AERONET Stations R. Blaga et al. 10.3390/rs16193618
60. Trade-offs between short-term mortality attributable to NO2 and O3 changes during the COVID-19 lockdown across major Spanish cities H. Achebak et al. 10.1016/j.envpol.2021.117220
61. Lessons from the COVID-19 air pollution decrease in Spain: Now what? X. Querol et al. 10.1016/j.scitotenv.2021.146380
62. Black carbon aerosol reductions during COVID-19 confinement quantified by aircraft measurements over Europe O. Krüger et al. 10.5194/acp-22-8683-2022
63. UK surface NO2 levels dropped by 42 % during the COVID-19 lockdown: impact on surface O3 J. Lee et al. 10.5194/acp-20-15743-2020
64. Quantifying the Impact of the Covid-19 Lockdown Measures on Nitrogen Dioxide Levels throughout Europe S. Solberg et al. 10.3390/atmos12020131
65. Technical note: Improving the European air quality forecast of the Copernicus Atmosphere Monitoring Service using machine learning techniques J. Bertrand et al. 10.5194/acp-23-5317-2023
66. The CO<sub>2</sub> integral emission by the megacity of St Petersburg as quantified from ground-based FTIR measurements combined with dispersion modelling D. Ionov et al. 10.5194/acp-21-10939-2021
67. Spatiotemporal impact of COVID-19 on Taiwan air quality in the absence of a lockdown: Influence of urban public transportation use and meteorological conditions Y. Wong et al. 10.1016/j.jclepro.2022.132893
68. Disentangling drivers of air pollutant and health risk changes during the COVID-19 lockdown in China F. Shen et al. 10.1038/s41612-022-00276-0
69. Relations between Air Quality and Covid-19 Lockdown Measures in Valencia, Spain G. Donzelli et al. 10.3390/ijerph18052296
70. Non-uniform tropospheric NO2 level changes in European Union caused by governmental COVID-19 restrictions and geography G. Varga et al. 10.1016/j.cacint.2024.100145
71. Estimating changes in air pollutant levels due to COVID-19 lockdown measures based on a business-as-usual prediction scenario using data mining models: A case-study for urban traffic sites in Spain J. González-Pardo et al. 10.1016/j.scitotenv.2022.153786
72. An artificial neural network model based on standing lateral radiographs for predicting sitting pelvic tilt in healthy adults M. Zhao et al. 10.3389/fsurg.2022.977505
73. A spatiotemporal analysis of NO2 concentrations during the Italian 2020 COVID‐19 lockdown G. Fioravanti et al. 10.1002/env.2723
74. Estimation of NO2 emission strengths over Riyadh and Madrid from space from a combination of wind-assigned anomalies and a machine learning technique Q. Tu et al. 10.5194/amt-16-2237-2023
75. Diesel passenger vehicle shares influenced COVID-19 changes in urban nitrogen dioxide pollution G. Kerr et al. 10.1088/1748-9326/ac7659
76. Long-term evaluation of surface air pollution in CAMSRA and MERRA-2 global reanalyses over Europe (2003–2020) A. Lacima et al. 10.5194/gmd-16-2689-2023
77. Early spring near-surface ozone in Europe during the COVID-19 shutdown: Meteorological effects outweigh emission changes C. Ordóñez et al. 10.1016/j.scitotenv.2020.141322
78. Spring Festival and COVID‐19 Lockdown: Disentangling PM Sources in Major Chinese Cities Q. Dai et al. 10.1029/2021GL093403
79. Impact of 2020 COVID-19 lockdowns on particulate air pollution across Europe J. Putaud et al. 10.5194/acp-23-10145-2023
80. A Regional Geography Approach to Understanding the Environmental Changes as a Consequence of the COVID-19 Lockdown in Highly Populated Spanish Cities J. Rodrigo-Comino & J. Senciales-González 10.3390/app11072912
81. Meteorology-normalized variations of air quality during the COVID-19 lockdown in three Chinese megacities Y. Lv et al. 10.1016/j.apr.2022.101452
82. Using Explainable Machine Learning to Interpret the Effects of Policies on Air Pollution: COVID-19 Lockdown in London L. Ma et al. 10.1021/acs.est.2c09596
83. Revised estimates of NO2 reductions during the COVID-19 lockdowns using updated TROPOMI NO2 retrievals and model simulations B. Fisher et al. 10.1016/j.atmosenv.2024.120459
84. NOx emissions in France in 2019–2021 as estimated by the high-spatial-resolution assimilation of TROPOMI NO2 observations R. Plauchu et al. 10.5194/acp-24-8139-2024
85. Learning from the COVID-19 lockdown in berlin: Observations and modelling to support understanding policies to reduce NO2. E. von Schneidemesser et al. 10.1016/j.aeaoa.2021.100122
86. Air quality and urban climate improvements in the world’s most populated region during the COVID-19 pandemic A. Damiani et al. 10.1088/1748-9326/ad25a2
87. The formation of secondary inorganic aerosols: A data-driven investigation of Lombardy's secondary inorganic aerosol problem F. Granella et al. 10.1016/j.atmosenv.2024.120480
88. European primary emissions of criteria pollutants and greenhouse gases in 2020 modulated by the COVID-19 pandemic disruptions M. Guevara et al. 10.5194/essd-14-2521-2022
89. Air pollution and health impacts during the COVID-19 lockdowns in Grenoble, France M. Aix et al. 10.1016/j.envpol.2022.119134
90. Tropospheric NO2 and O3 Response to COVID‐19 Lockdown Restrictions at the National and Urban Scales in Germany V. Balamurugan et al. 10.1029/2021JD035440
91. Methods for Evaluating Environmental Health Impacts at Different Stages of the Policy Process in Cities J. Benavides et al. 10.1007/s40572-022-00349-5
92. Quantification of COVID-19 impacts on NO2 and O3: Systematic model selection and hyperparameter optimization on AI-based meteorological-normalization methods Y. Wong et al. 10.1016/j.atmosenv.2023.119677
93. Quantifying the impacts of the COVID-19 pandemic lockdown and the armed conflict with Russia on Sentinel 5P TROPOMI NO 2 changes in Ukraine A. Phan & H. Fukui 10.1080/20964471.2023.2265105
94. Air quality changes in NE Romania during the first Covid 19 pandemic wave D. Mihăilă et al. 10.1016/j.heliyon.2023.e18918
95. Assessing the COVID‐19 Impact on Air Quality: A Machine Learning Approach Y. Rybarczyk & R. Zalakeviciute 10.1029/2020GL091202
96. Effects of COVID-Induced Mobility Restrictions and Weather Conditions on Air Quality in Hungary A. Varga-Balogh et al. 10.3390/atmos12050561
97. The role of emission reductions and the meteorological situation for air quality improvements during the COVID-19 lockdown period in central Europe V. Matthias et al. 10.5194/acp-21-13931-2021
98. WITHDRAWN: Assessment of COVID-19 pandemic effects on ship pollutant emissions in major international seaports J. Liu et al. 10.1016/j.envres.2021.112246
99. Description of the NASA GEOS Composition Forecast Modeling System GEOS‐CF v1.0 C. Keller et al. 10.1029/2020MS002413
100. Different approaches to explore the impact of COVID-19 lockdowns on carbonaceous aerosols at a European rural background site S. Mbengue et al. 10.1016/j.scitotenv.2023.164527
101. Pollutant Concentration Changes During the COVID-19 Lockdown in Barcelona and Surrounding Regions: Modification of Diurnal Cycles and Limited Role of Meteorological Conditions M. García-Dalmau et al. 10.1007/s10546-021-00679-1
102. How mobility restrictions policy and atmospheric conditions impacted air quality in the State of São Paulo during the COVID-19 outbreak A. Rudke et al. 10.1016/j.envres.2021.111255
103. The heterogeneous air pollution response to shrunk socio-economic activities in 28 major northern cities of China S. Wang et al. 10.1016/j.apr.2024.102163
104. Reduction in air pollution and attributable mortality due to COVID-19 lockdown H. Achebak et al. 10.1016/S2542-5196(20)30148-0
105. COVID-19 lockdown only partially alleviates health impacts of air pollution in Northern Italy F. Granella et al. 10.1088/1748-9326/abd3d2
106. Numerical simulation of the impact of COVID-19 lockdown on tropospheric composition and aerosol radiative forcing in Europe S. Reifenberg et al. 10.5194/acp-22-10901-2022
107. Vertical wind speed extrapolation using statistical approaches H. Nuha et al. 10.5937/fme2401078N
108. Impact of the COVID-19 Lockdown on Air Quality and Resulting Public Health Benefits in the Mexico City Metropolitan Area I. Hernández-Paniagua et al. 10.3389/fpubh.2021.642630
109. A multi-step machine learning approach to assess the impact of COVID-19 lockdown on NO2 attributable deaths in Milan and Rome, Italy L. Boniardi et al. 10.1186/s12940-021-00825-9