On the public citation graph
Spatial and Temporal Distribution Characteristics of Ozone Concentration and Source Analysis during the COVID-19 Lockdown Period in Shanghai
0 signed · 38 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/2015jd024468openalex-snapshot
Potential sources of nitrous acid (HONO) and their impacts on ozone: A WRF‐Chem study in a polluted subtropical region
inferredcites →https://doi.org/10.1007/s11356-017-9239-3openalex-snapshot
The effects of ozone on human health
inferredcites →https://doi.org/10.1007/s11426-009-0137-5openalex-snapshot
Ozone source attribution during a severe photochemical smog episode in Beijing, China
inferredcites →https://doi.org/10.1016/j.apr.2021.101247openalex-snapshot
Characteristics of air quality in different climatic zones of China during the COVID-19 lockdown
inferredcites →https://doi.org/10.1016/j.atmosenv.2010.03.035openalex-snapshot
Understanding of regional air pollution over China using CMAQ, part I performance evaluation and seasonal variation
inferredcites →https://doi.org/10.1016/j.atmosenv.2017.06.039openalex-snapshot
Identification of biased sectors in emission data using a combination of chemical transport model and receptor model
inferredcites →https://doi.org/10.1016/j.atmosenv.2020.118087openalex-snapshot
Summertime O3 and related health risks in the north China plain: A modeling study using two anthropogenic emission inventories
inferredcites →https://doi.org/10.1016/j.envpol.2018.05.042openalex-snapshot
Causes of ozone pollution in summer in Wuhan, Central China
inferredcites →https://doi.org/10.1016/j.envpol.2021.117899openalex-snapshot
Opposite impact of emission reduction during the COVID-19 lockdown period on the surface concentrations of PM2.5 and O3 in Wuhan, China
inferredcites →https://doi.org/10.1016/j.envres.2020.110193openalex-snapshot
Ozone weekend effect in cities: Deep insights for urban air pollution control
inferredcites →https://doi.org/10.1016/j.scitotenv.2015.12.039openalex-snapshot
A case study of surface ozone source apportionment during a high concentration episode, under frequent shifting wind conditions over the Yangtze River Delta, China
inferredcites →https://doi.org/10.1016/j.scitotenv.2021.147253openalex-snapshot
Meteorology driving the highest ozone level occurred during mid-spring to early summer in Shanghai, China
inferredcites →https://doi.org/10.1029/2002jd002529openalex-snapshot
Ozone production efficiency in an urban area
inferredcites →https://doi.org/10.1029/2002jd003144openalex-snapshot
Ozone production efficiency and NO x depletion in an urban plume: Interpretation of field observations and implications for evaluating O 3 ‐NO x ‐VOC sensitivity
inferredcites →https://doi.org/10.1029/2011jd017340openalex-snapshot
Ozone source apportionment (OSAT) to differentiate local regional and super‐regional source contributions in the Pearl River Delta region, China
inferredcites →https://doi.org/10.1029/2021jd034807openalex-snapshot
Regional Transport of PM2.5 and O3 Based on Complex Network Method and Chemical Transport Model in the Yangtze River Delta, China
inferredcites →https://doi.org/10.1029/jd092id04p04191openalex-snapshot
Ozone production in the rural troposphere and the implications for regional and global ozone distributions
inferredcites →https://doi.org/10.1073/pnas.2015797118openalex-snapshot
Ozone pollution in the North China Plain spreading into the late-winter haze season
inferredcites →https://doi.org/10.1080/10962247.2012.749312openalex-snapshot
The vanishing ozone weekday/weekend effect
inferredcites →https://doi.org/10.1093/nsr/nwaa137openalex-snapshot
Enhanced secondary pollution offset reduction of primary emissions during COVID-19 lockdown in China
inferredcites →https://doi.org/10.1111/j.1365-2486.2010.02217.xopenalex-snapshot
Evidence of widespread effects of ozone on crops and (semi-)natural vegetation in Europe (1990-2006) in relation to AOT40- and flux-based risk maps
inferredcites →https://doi.org/10.13209/j.0479-8023.2015.089openalex-snapshot
Ozone source apportionment of typical photochemical pollution episodes in the Pearl River Delta in autumn
inferredcites →https://doi.org/10.13227/j.hjkx.201805220openalex-snapshot
[Characteristics of Ozone Pollution Distribution and Source Apportionment in Zhoushan].
inferredcites →https://doi.org/10.3390/rs13030488openalex-snapshot
Ground-Based MAX-DOAS Observations of Tropospheric NO2 and HCHO During COVID-19 Lockdown and Spring Festival Over Shanghai, China
inferredcites →https://doi.org/10.3390/rs14246344openalex-snapshot
Ozone Pollution of Megacity Shanghai during City-Wide Lockdown Assessed Using TROPOMI Observations of NO2 and HCHO
inferredcites →https://doi.org/10.5194/acp-12-8323-2012openalex-snapshot
On the observed response of ozone to NO x and VOC reactivity reductions in San Joaquin Valley California 1995–present
inferredcites →https://doi.org/10.5194/acp-17-12553-2017openalex-snapshot
Contributions of foreign, domestic and natural emissions to US ozone estimated using the path-integral method in CAMx nested within GEOS-Chem
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4680901openalex-extracted
Roles of Horizontal Transport at Different Vertical Heights in the Formation of Tropospheric Ozone in the North China Plain
inferred← citeshttps://doi.org/10.1007/s10661-026-15929-3openalex-snapshot
Spatiotemporal characteristics of ozone and PM2.5 pollution in Jilin City: insights from observations in 2020 and 2023
inferred← citeshttps://doi.org/10.1016/j.apr.2026.103084openalex-snapshot
Quantifying ozone vertical transport over the Beijing–Tianjin–Hebei region: Insights from WRF-CAMx flux simulations
inferred← citeshttps://doi.org/10.1016/j.atmosres.2025.108721openalex-snapshot
Altitude-resolved O3 transport in the Beijing-Tianjin-Hebei region: A multi-scenario analysis of extreme meteorology and pollution gradients
inferred← citeshttps://doi.org/10.1016/j.jes.2024.05.046openalex-snapshot
Vertical variations of ozone transport flux at multiple altitudes and identification of major transport direction in the North China Plain
inferred← citeshttps://doi.org/10.1016/j.jes.2025.02.041openalex-snapshot
Smart prediction and optimization of air quality index with artificial intelligence
inferred← citeshttps://doi.org/10.1016/j.jes.2026.05.014openalex-snapshot
Three-dimensional source apportionment and quantitative characterization of horizontal and vertical transport fluxes of O3 and its precursors in the Beijing-Tianjin-Hebei region, China
inferred← citeshttps://doi.org/10.1021/acsestair.5c00130openalex-snapshot
Amplification of Surface Ozone by the Aerosol Direct Effect under COVID-19 Lockdown in Shanghai, China
inferred← citeshttps://doi.org/10.1134/s1024856024701215openalex-snapshot
Study of Air Quality over Delhi during COVID-19 Lockdown Based on Remote Sensing Observations
inferred← citeshttps://doi.org/10.3390/atmos15070856openalex-snapshot
Improving Air Quality Prediction via Self-Supervision Masked Air Modeling
inferred← citeshttps://doi.org/10.3390/atmos15101230openalex-snapshot
The Effects of Air Quality and the Impact of Climate Conditions on the First COVID-19 Wave in Wuhan and Four European Metropolitan Regions
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.