71 citations as recorded by crossref.

1. Source impact and contribution analysis of ambient ozone using multi-modeling approaches over the Pearl River Delta region, China T. Fang et al. 10.1016/j.envpol.2021.117860
2. Increasing but Variable Trend of Surface Ozone in the Yangtze River Delta Region of China K. Tang et al. 10.3389/fenvs.2022.836191
3. Peculiar COVID-19 effects in the Greater Tokyo Area revealed by spatiotemporal variabilities of tropospheric gases and light-absorbing aerosols A. Damiani et al. 10.5194/acp-22-12705-2022
4. Evaluation of gap-filling approaches in satellite-based daily PM2.5 prediction models Q. Xiao et al. 10.1016/j.atmosenv.2020.117921
5. Rapid Increases in Warm-Season Surface Ozone and Resulting Health Impact in China Since 2013 X. Lu et al. 10.1021/acs.estlett.0c00171
6. Analysis of Vertical Distribution Changes and Influencing Factors of Tropospheric Ozone in China from 2005 to 2020 Based on Multi-Source Data Y. Zhang et al. 10.3390/ijerph191912653
7. Parsimonious estimation of hourly surface ozone concentration across China during 2015–2020 W. Zhang et al. 10.1038/s41597-024-03302-3
8. Local and synoptic meteorological influences on daily variability in summertime surface ozone in eastern China H. Han et al. 10.5194/acp-20-203-2020
9. Lidar- and UAV-Based Vertical Observation of Spring Ozone and Particulate Matter in Nanjing, China Y. Qu et al. 10.3390/rs14133051
10. Novel Method for Ozone Isopleth Construction and Diagnosis for the Ozone Control Strategy of Chinese Cities H. Shen et al. 10.1021/acs.est.1c01567
11. Estimating monthly NO2, O3, and SO2 concentrations via an ensemble three-stage procedure with downscaled satellite remote sensing data and ground measurements C. Chen et al. 10.1016/j.jhazmat.2024.136392
12. ATVNP: ANTHROPOGENIC TEMPORAL VARIATION OF NO2OVER PAKISTAN N. Minallah 10.26782/jmcms.2020.08.00050
13. Detectability assessment of a satellite sensor for lower tropospheric ozone responses to its precursors emission changes in East Asian summer M. Kajino et al. 10.1038/s41598-019-55759-7
14. Spatio-temporal variations and trends of major air pollutants in China during 2015–2018 K. Maji & C. Sarkar 10.1007/s11356-020-09646-8
15. Spatiotemporal distributions of surface ozone levels in China from 2005 to 2017: A machine learning approach R. Liu et al. 10.1016/j.envint.2020.105823
16. Measurement report: Ambient volatile organic compound (VOC) pollution in urban Beijing: characteristics, sources, and implications for pollution control L. Cui et al. 10.5194/acp-22-11931-2022
17. Evolution of surface ozone pollution pattern in eastern China and its relationship with different intensity heatwaves L. Wang et al. 10.1016/j.envpol.2023.122725
18. Assessing the Spatiotemporal Dynamics and Health Impacts of Surface Ozone Pollution in Beijing, China F. Yin et al. 10.3390/atmos16040397
19. Temporal variability of tropospheric ozone and ozone profiles in the Korean Peninsula during the East Asian summer monsoon: insights from multiple measurements and reanalysis datasets J. Bak et al. 10.5194/acp-22-14177-2022
20. First retrieval of 24-hourly 1-km-resolution gapless surface ozone (O3) from space in China using artificial intelligence: Diurnal variations and implications for air quality and phytotoxicity F. Cheng et al. 10.1016/j.rse.2024.114482
21. Influence of circulation types on temporal and spatial variations of ozone in Beijing X. Zhu et al. 10.1016/j.jes.2022.06.033
22. A Stratospheric Intrusion-Influenced Ozone Pollution Episode Associated with an Intense Horizontal-Trough Event Y. Wang et al. 10.3390/atmos11020164
23. 3-D Changes of Tropospheric O3 in Central and Eastern China Induced by Tropical Cyclones over the Northwest Pacific: Recent-Year Characterization with Multi-Source Observations Y. Jiang et al. 10.3390/rs16071178
24. Impact of Black Carbon on Surface Ozone in the Yangtze River Delta from 2015 to 2018 Y. Tan et al. 10.3390/atmos12050626
25. Long-term hourly air quality data bridging of neighboring sites using automated machine learning: A case study in the Greater Bay area of China B. Wu et al. 10.1016/j.atmosenv.2024.120347
26. Estimating Spatiotemporal Variation in Ambient Ozone Exposure during 2013–2017 Using a Data-Fusion Model T. Xue et al. 10.1021/acs.est.0c03098
27. Opposite impact of emission reduction during the COVID-19 lockdown period on the surface concentrations of PM2.5 and O3 in Wuhan, China H. Yin et al. 10.1016/j.envpol.2021.117899
28. The impacts of transport from South and Southeast Asia on O<sub>3</sub> concentrations in China from 2015 to 2050 Y. Wang & H. Liao 10.1360/TB-2021-0707
29. Satellite-derived estimates of surface ozone by LESO: Extended application and performance evaluation S. Zhu et al. 10.1016/j.jag.2022.103008
30. Ozone Continues to Increase in East Asia Despite Decreasing NO2: Causes and Abatements H. Lee et al. 10.3390/rs13112177
31. Effect of springtime thermal forcing over Tibetan Plateau on summertime ozone in Central China during the period 1950–2019 Y. Wang et al. 10.1016/j.atmosres.2021.105735
32. Unraveling the spatiotemporal dynamics and drivers of surface and tropospheric ozone in China S. Yin et al. 10.1016/j.envint.2025.109412
33. Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis R. Li et al. 10.5194/acp-21-15631-2021
34. Holiday Effect of Ozone Pollution in China S. Chen et al. 10.3390/atmos16050559
35. Annual variations in characteristics and sources analysis of VOCs during the ozone season in the Taiyuan Basin, China, from 2020 to 2022 Z. Wang et al. 10.1007/s11869-024-01597-0
36. Observation-based sources evolution of non-methane hydrocarbons (NMHCs) in a megacity of China Y. Peng et al. 10.1016/j.jes.2022.01.040
37. Multi-decadal surface ozone trends at globally distributed remote locations O. Cooper et al. 10.1525/elementa.420
38. Explainable and spatial dependence deep learning model for satellite-based O3 monitoring in China N. Luo et al. 10.1016/j.atmosenv.2022.119370
39. Evolution of ozone formation regimes during different periods in representative regions of China J. Zhang et al. 10.1016/j.atmosenv.2024.120830
40. Recent ozone trends in the Chinese free troposphere: role of the local emission reductions and meteorology G. Dufour et al. 10.5194/acp-21-16001-2021
41. Decadal changes in ozone in the lower boundary layer over Beijing, China Y. Liu et al. 10.1016/j.atmosenv.2022.119018
42. Effectiveness of synergistic abatement for emissions of NOX and NH3 to mitigate nitrate-dominated aerosols in a typical city, northern China Y. Yan et al. 10.1016/j.atmosenv.2022.119325
43. Meteorological impacts on interannual anomalies of O3 import over Twain-Hu Basin L. Shen et al. 10.1016/j.scitotenv.2023.164065
44. A high-resolution (0.1° × 0.1°) emission inventory for the catering industry based on VOCs and PM2.5 emission characteristics of Chinese multi-cuisines J. Zhang et al. 10.1016/j.atmosenv.2023.120314
45. Impacts of climate anomalies on the interannual and interdecadal variability of autumn and winter haze in North China: A review J. Wang et al. 10.1002/joc.6471
46. Real-time source contribution analysis of ambient ozone using an enhanced meta-modeling approach over the Pearl River Delta Region of China T. Fang et al. 10.1016/j.jenvman.2020.110650
47. Developing a novel hybrid model for the estimation of surface 8 h ozone (O3) across the remote Tibetan Plateau during 2005–2018 R. Li et al. 10.5194/acp-20-6159-2020
48. Mapping the drivers of formaldehyde (HCHO) variability from 2015 to 2019 over eastern China: insights from Fourier transform infrared observation and GEOS-Chem model simulation Y. Sun et al. 10.5194/acp-21-6365-2021
49. Drivers for the trends of atmospheric inorganic nitrogen deposition in China under the past and future scenarios Z. Zhang et al. 10.1016/j.atmosenv.2025.121221
50. An Enhanced Geographically and Temporally Weighted Neural Network for Remote Sensing Estimation of Surface Ozone T. Li et al. 10.1109/TGRS.2022.3187095
51. Exploring 2016–2017 surface ozone pollution over China: source contributions and meteorological influences X. Lu et al. 10.5194/acp-19-8339-2019
52. Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China J. Wei et al. 10.1016/j.rse.2021.112775
53. Meteorology and topographic influences on nocturnal ozone increase during the summertime over Shaoguan, China Y. He et al. 10.1016/j.atmosenv.2021.118459
54. Increases in ozone-related mortality in China over 2013–2030 attributed to historical ozone deterioration and future population aging L. Chen et al. 10.1016/j.scitotenv.2022.159972
55. Characteristics and mechanism of a persistent ozone pollution event in Pearl River Delta induced by typhoon and subtropical high C. Liu et al. 10.1016/j.atmosenv.2023.119964
56. Inferring vertical variability and diurnal evolution of O3 formation sensitivity based on the vertical distribution of summertime HCHO and NO2 in Guangzhou, China Q. Hong et al. 10.1016/j.scitotenv.2022.154045
57. The Long-Term Trends and Interannual Variability in Surface Ozone Levels in Beijing from 1995 to 2020 J. Hong et al. 10.3390/rs14225726
58. Atmospheric transport drives regional interactions of ozone pollution in China L. Shen et al. 10.1016/j.scitotenv.2022.154634
59. Multimethodological Approach for the Evaluation of Tropospheric Ozone’s Regional Photochemical Pollution at the WMO/GAW Station of Lamezia Terme, Italy F. D’Amico et al. 10.3390/appliedchem5020010
60. Divergent summertime surface O3 pollution formation mechanisms in two typical Chinese cities in the Beijing-Tianjin-Hebei region and Fenwei Plain C. Li et al. 10.1016/j.scitotenv.2023.161868
61. Satellite-Based Long-Term Spatiotemporal Patterns of Surface Ozone Concentrations in China: 2005–2019 Q. Zhu et al. 10.1289/EHP9406
62. Using Satellites to Track Indicators of Global Air Pollution and Climate Change Impacts: Lessons Learned From a NASA‐Supported Science‐Stakeholder Collaborative S. Anenberg et al. 10.1029/2020GH000270
63. Estimation of Near-Ground Ozone With High Spatio-Temporal Resolution in the Yangtze River Delta Region of China Based on a Temporally Ensemble Model Z. Li et al. 10.1109/JSTARS.2023.3298996
64. Effectiveness of inter-regional collaborative emission reduction for ozone mitigation under local-dominated and transport-affected synoptic patterns J. Ma et al. 10.1007/s11356-024-34656-1
65. Insights into the long-term (2005–2021) spatiotemporal evolution of summer ozone production sensitivity in the Northern Hemisphere derived with the Ozone Monitoring Instrument (OMI) M. Johnson et al. 10.5194/acp-24-10363-2024
66. The effect of anthropogenic emission, meteorological factors, and carbon dioxide on the surface ozone increase in China from 2008 to 2018 during the East Asia summer monsoon season D. Ma et al. 10.5194/acp-23-6525-2023
67. Vertical Distribution, Diurnal Evolution, and Source Region of Formaldehyde During the Warm Season Under Ozone-Polluted and Non-Polluted Conditions in Nanjing, China K. Cheng et al. 10.3390/rs16224313
68. Anthropogenically and meteorologically modulated summertime ozone trends and their health implications since China's clean air actions D. Yan et al. 10.1016/j.envpol.2023.123234
69. Increases in surface ozone pollution in China from 2013 to 2019: anthropogenic and meteorological influences K. Li et al. 10.5194/acp-20-11423-2020
70. Tree-based ensemble deep learning model for spatiotemporal surface ozone (O3) prediction and interpretation Z. Zang et al. 10.1016/j.jag.2021.102516
71. Influences of El Niño–Southern Oscillation on summertime ozone pollution over central-eastern China during 1950–2014 Y. Wang et al. 10.1007/s11356-022-22543-6