73 citations as recorded by crossref.

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8. Local and synoptic meteorological influences on daily variability in summertime surface ozone in eastern China H. Han et al. https://doi.org/10.5194/acp-20-203-2020
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10. Novel Method for Ozone Isopleth Construction and Diagnosis for the Ozone Control Strategy of Chinese Cities H. Shen et al. https://doi.org/10.1021/acs.est.1c01567
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18. Improving the presentation of HONO in CMAQ based on observations over the Yangtze River Delta Region S. Zhang et al. https://doi.org/10.1016/j.atmosres.2025.108487
19. Assessing the Spatiotemporal Dynamics and Health Impacts of Surface Ozone Pollution in Beijing, China F. Yin et al. https://doi.org/10.3390/atmos16040397
20. 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. https://doi.org/10.5194/acp-22-14177-2022
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22. Influence of circulation types on temporal and spatial variations of ozone in Beijing X. Zhu et al. https://doi.org/10.1016/j.jes.2022.06.033
23. A Stratospheric Intrusion-Influenced Ozone Pollution Episode Associated with an Intense Horizontal-Trough Event Y. Wang et al. https://doi.org/10.3390/atmos11020164
24. 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. https://doi.org/10.3390/rs16071178
25. Impact of Black Carbon on Surface Ozone in the Yangtze River Delta from 2015 to 2018 Y. Tan et al. https://doi.org/10.3390/atmos12050626
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28. 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. https://doi.org/10.1016/j.envpol.2021.117899
29. 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 https://doi.org/10.1360/TB-2021-0707
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31. Ozone Continues to Increase in East Asia Despite Decreasing NO2: Causes and Abatements H. Lee et al. https://doi.org/10.3390/rs13112177
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34. 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. https://doi.org/10.5194/acp-21-15631-2021
35. Holiday Effect of Ozone Pollution in China S. Chen et al. https://doi.org/10.3390/atmos16050559
36. 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. https://doi.org/10.1007/s11869-024-01597-0
37. Observation-based sources evolution of non-methane hydrocarbons (NMHCs) in a megacity of China Y. Peng et al. https://doi.org/10.1016/j.jes.2022.01.040
38. Multi-decadal surface ozone trends at globally distributed remote locations O. Cooper et al. https://doi.org/10.1525/elementa.420
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40. Evolution of ozone formation regimes during different periods in representative regions of China J. Zhang et al. https://doi.org/10.1016/j.atmosenv.2024.120830
41. Recent ozone trends in the Chinese free troposphere: role of the local emission reductions and meteorology G. Dufour et al. https://doi.org/10.5194/acp-21-16001-2021
42. Decadal changes in ozone in the lower boundary layer over Beijing, China Y. Liu et al. https://doi.org/10.1016/j.atmosenv.2022.119018
43. 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. https://doi.org/10.1016/j.atmosenv.2022.119325
44. Meteorological impacts on interannual anomalies of O3 import over Twain-Hu Basin L. Shen et al. https://doi.org/10.1016/j.scitotenv.2023.164065
45. 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. https://doi.org/10.1016/j.atmosenv.2023.120314
46. Impacts of climate anomalies on the interannual and interdecadal variability of autumn and winter haze in North China: A review J. Wang et al. https://doi.org/10.1002/joc.6471
47. 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. https://doi.org/10.1016/j.jenvman.2020.110650
48. 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. https://doi.org/10.5194/acp-20-6159-2020
49. 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. https://doi.org/10.5194/acp-21-6365-2021
50. Drivers for the trends of atmospheric inorganic nitrogen deposition in China under the past and future scenarios Z. Zhang et al. https://doi.org/10.1016/j.atmosenv.2025.121221
51. An Enhanced Geographically and Temporally Weighted Neural Network for Remote Sensing Estimation of Surface Ozone T. Li et al. https://doi.org/10.1109/TGRS.2022.3187095
52. Exploring 2016–2017 surface ozone pollution over China: source contributions and meteorological influences X. Lu et al. https://doi.org/10.5194/acp-19-8339-2019
53. Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China J. Wei et al. https://doi.org/10.1016/j.rse.2021.112775
54. Meteorology and topographic influences on nocturnal ozone increase during the summertime over Shaoguan, China Y. He et al. https://doi.org/10.1016/j.atmosenv.2021.118459
55. Increases in ozone-related mortality in China over 2013–2030 attributed to historical ozone deterioration and future population aging L. Chen et al. https://doi.org/10.1016/j.scitotenv.2022.159972
56. Characteristics and mechanism of a persistent ozone pollution event in Pearl River Delta induced by typhoon and subtropical high C. Liu et al. https://doi.org/10.1016/j.atmosenv.2023.119964
57. 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. https://doi.org/10.1016/j.scitotenv.2022.154045
58. The Long-Term Trends and Interannual Variability in Surface Ozone Levels in Beijing from 1995 to 2020 J. Hong et al. https://doi.org/10.3390/rs14225726
59. Atmospheric transport drives regional interactions of ozone pollution in China L. Shen et al. https://doi.org/10.1016/j.scitotenv.2022.154634
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62. Satellite-Based Long-Term Spatiotemporal Patterns of Surface Ozone Concentrations in China: 2005–2019 Q. Zhu et al. https://doi.org/10.1289/EHP9406
63. 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. https://doi.org/10.1029/2020GH000270
64. 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. https://doi.org/10.1109/JSTARS.2023.3298996
65. Effectiveness of inter-regional collaborative emission reduction for ozone mitigation under local-dominated and transport-affected synoptic patterns J. Ma et al. https://doi.org/10.1007/s11356-024-34656-1
66. 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. https://doi.org/10.5194/acp-24-10363-2024
67. 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. https://doi.org/10.5194/acp-23-6525-2023
68. 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. https://doi.org/10.3390/rs16224313
69. Anthropogenically and meteorologically modulated summertime ozone trends and their health implications since China's clean air actions D. Yan et al. https://doi.org/10.1016/j.envpol.2023.123234
70. Increases in surface ozone pollution in China from 2013 to 2019: anthropogenic and meteorological influences K. Li et al. https://doi.org/10.5194/acp-20-11423-2020
71. Tree-based ensemble deep learning model for spatiotemporal surface ozone (O3) prediction and interpretation Z. Zang et al. https://doi.org/10.1016/j.jag.2021.102516
72. Influences of El Niño–Southern Oscillation on summertime ozone pollution over central-eastern China during 1950–2014 Y. Wang et al. https://doi.org/10.1007/s11356-022-22543-6
73. Reconstructing high-quality ground-level ozone records from 1980 to 2012 in central and eastern China J. Ma et al. https://doi.org/10.1038/s41597-025-06415-5