104 citations as recorded by crossref.

1. Regional to Global Biogenic Isoprene Emission Responses to Changes in Vegetation From 2000 to 2015 W. Chen et al. https://doi.org/10.1002/2017JD027934
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3. Understanding primary and secondary sources of ambient carbonyl compounds in Beijing using the PMF model W. Chen et al. https://doi.org/10.5194/acp-14-3047-2014
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5. The Speciated isoprene emission model with the MEGAN algorithm for China (SieMAC) S. Xi et al. https://doi.org/10.5194/gmd-18-8627-2025
6. Biogenic volatile organic compounds emissions, atmospheric chemistry, and environmental implications: a review L. Wang et al. https://doi.org/10.1007/s10311-024-01785-5
7. Gas-phase reactions accelerate nitrate formation in spring and early summer in a megacity of the Sichuan Basin, China Y. Li et al. https://doi.org/10.1016/j.jes.2026.02.002
8. Rice yield reductions due to ozone exposure and the roles of VOCs and NO_x in ozone production in Japan K. TATSUMI https://doi.org/10.2480/agrmet.D-21-00051
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12. Spatial characterization of HCHO and reapportionment of its secondary sources considering photochemical loss in Taiyuan, China J. Hua et al. https://doi.org/10.1016/j.scitotenv.2022.161069
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22. Analysis of the effect of troposphere ozone on grain production in North China Plain and Yangtze River Delta W. XUYUAN & K. TATSUMI https://doi.org/10.2480/agrmet.D-23-00023
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25. Review on plant terpenoid emissions worldwide and in China W. Yang et al. https://doi.org/10.1016/j.scitotenv.2021.147454
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28. Simulated Impacts of Sulfate and Nitrate Aerosol Formation on Surface-Layer Ozone Concentrations in China Y. Yang et al. https://doi.org/10.1080/16742834.2014.11447204
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31. Plant specific emission pattern of biogenic volatile organic compounds (BVOCs) from common plant species of Central India T. Malik et al. https://doi.org/10.1007/s10661-018-7015-6
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34. An optimal ensemble of the Noah-MP land surface model for simulating surface heat fluxes over a typical subtropical forest in South China M. Chang et al. https://doi.org/10.1016/j.agrformet.2019.107815
35. Emissions of biogenic volatile organic compounds from urban green spaces in the six core districts of Beijing based on a new satellite dataset X. Li et al. https://doi.org/10.1016/j.envpol.2022.119672
36. Temperature and light dependency of isoprene and monoterpene emissions from tropical and subtropical trees: Field observations in south China J. Zeng et al. https://doi.org/10.1016/j.apgeochem.2023.105727
37. Seasonal variations in whole-ecosystem BVOC emissions from a subtropical bamboo plantation in China J. Bai et al. https://doi.org/10.1016/j.atmosenv.2015.11.008
38. Photochemical indicators of ozone sensitivity: application in the Pearl River Delta, China L. Ye et al. https://doi.org/10.1007/s11783-016-0887-1
39. Evaluation of light dependence of monoterpene emission and its effect on surface ozone concentration H. Nishimura et al. https://doi.org/10.1016/j.atmosenv.2015.01.011
40. Trend analysis of surface ozone at suburban Guangzhou, China C. Yin et al. https://doi.org/10.1016/j.scitotenv.2019.133880
41. Seasonal variations in whole–ecosystem BVOC emissions and ozone fluxes from a tropical rubber tree plantation in China J. Bai et al. https://doi.org/10.1016/j.atmosenv.2025.121182
42. Measurement report: Development of a portable peroxy radical measurement system and application for diagnosing local ozone formation and transport R. Tang et al. https://doi.org/10.5194/acp-26-11909-2026
43. BAERLIN2014 – the influence of land surface types on and the horizontal heterogeneity of air pollutant levels in Berlin B. Bonn et al. https://doi.org/10.5194/acp-16-7785-2016
44. The future underlying differential response of surface ozone to biogenic emissions in China (2019–2060) W. Wang et al. https://doi.org/10.1016/j.atmosenv.2025.121206
45. Impact of urbanization on gas-phase pollutant concentrations: a regional-scale, model-based analysis of the contributing factors P. Huszar et al. https://doi.org/10.5194/acp-22-12647-2022
46. Typhoon-boosted biogenic emission aggravates cross-regional ozone pollution in China N. Wang et al. https://doi.org/10.1126/sciadv.abl6166
47. Current estimates of biogenic emissions from eucalypts uncertain for southeast Australia K. Emmerson et al. https://doi.org/10.5194/acp-16-6997-2016
48. Tower- and drone-based BVOC observations in a suburban Tokyo forest: methodological insights and MEGAN comparison Y. Ichikawa et al. https://doi.org/10.5194/acp-26-12521-2026
49. Characterizing summer and winter carbonyl compounds in Beijing atmosphere X. Qian et al. https://doi.org/10.1016/j.atmosenv.2019.116845
50. Constraining light dependency in modeled emissions through comparison to observed biogenic volatile organic compound (BVOC) concentrations in a southeastern US forest N. Panji et al. https://doi.org/10.5194/acp-24-12495-2024
51. Co‐Occurrence of Surface O3, PM2.5 Pollution, and Tropical Cyclones in China M. Shao et al. https://doi.org/10.1029/2021JD036310
52. Impacts of land cover changes on biogenic emission and its contribution to ozone and secondary organic aerosol in China J. Ma et al. https://doi.org/10.5194/acp-23-4311-2023
53. Improvement of the Outdoor Thermal Comfort by Water Spraying in a High-Density Urban Environment under the Influence of a Future (2050) Climate K. Wai et al. https://doi.org/10.3390/su13147811
54. Impact of Synoptic Weather Types on Ground-Level Ozone Concentrations in Guangzhou, China W. Liao et al. https://doi.org/10.1007/s13143-020-00186-2
55. Roles of photochemical consumption of VOCs on regional background O3 concentration and atmospheric reactivity over the pearl river estuary, Southern China J. Sun et al. https://doi.org/10.1016/j.scitotenv.2024.172321
56. Understanding ozone pollution in the Yangtze River Delta of eastern China from the perspective of diurnal cycles J. Xu et al. https://doi.org/10.1016/j.scitotenv.2020.141928
57. Spatial heterogeneous associations and spillover effects of ozone pollution in China X. Zhang et al. https://doi.org/10.1016/j.envres.2025.122201
58. Primary and oxidative source analyses of consumed VOCs in the atmosphere Y. Cui et al. https://doi.org/10.1016/j.jhazmat.2024.134894
59. Emission inventory of semi-volatile and intermediate-volatility organic compounds and their effects on secondary organic aerosol over the Pearl River Delta region L. Wu et al. https://doi.org/10.5194/acp-19-8141-2019
60. Plant smellscape: A key avenue to connect nature and human well-being C. Wang et al. https://doi.org/10.1016/j.ufug.2025.128757
61. Carbon storage and air pollution effect of urban trees and tree species selection: A case study in a typical city of the central Beijing-Tianjin-Hebei region W. Han et al. https://doi.org/10.1016/j.apr.2024.102371
62. Forecasting ground-level ozone in Shenyang using interpretable machine learning: Interaction between air pollutants and climate factors S. Fan & Y. Ma https://doi.org/10.1016/j.apr.2025.102836
63. Impact of NOx titration on nighttime isoprene in coastal South China: Preserving ozone precursors via suppressed oxidation Y. Tan et al. https://doi.org/10.1016/j.envres.2026.124141
64. Tropospheric ozone and its precursors from the urban to the global scale from air quality to short-lived climate forcer P. Monks et al. https://doi.org/10.5194/acp-15-8889-2015
65. Effect of VOC Emissions from Vegetation on Air Quality in Berlin during a Heatwave G. Churkina et al. https://doi.org/10.1021/acs.est.6b06514
66. Widespread and persistent ozone pollution in eastern China during the non-winter season of 2015: observations and source attributions G. Li et al. https://doi.org/10.5194/acp-17-2759-2017
67. The impact of biogenic emissions on ozone formation in the Yangtze River Delta region based on MEGANv3.1 Y. Wang et al. https://doi.org/10.1007/s11869-021-00977-0
68. Ozone Formation at a Suburban Site in the Pearl River Delta Region, China: Role of Biogenic Volatile Organic Compounds J. Wang et al. https://doi.org/10.3390/atmos14040609
69. Assessing ozone formation impact through SHAP interaction redistribution analysis: A novel framework for evaluating VOC photochemical loss and source interactions S. Yao et al. https://doi.org/10.1016/j.eiar.2025.108017
70. Impacts of decadal variations in natural emissions due to land-cover changes on ozone production in southern China M. Li et al. https://doi.org/10.3402/tellusb.v67.27676
71. Modeling sensitivities of BVOCs to different versions of MEGAN emission schemes in WRF-Chem (v3.6) and its impacts over eastern China M. Zhang et al. https://doi.org/10.5194/gmd-14-6155-2021
72. A retrospect of ozone formation mechanisms during the COVID-19 lockdown: The potential role of isoprene K. Xu et al. https://doi.org/10.1016/j.envpol.2022.120728
73. Isoprene and monoterpene emissions in south-east Australia: comparison of a multi-layer canopy model with MEGAN and with atmospheric observations K. Emmerson et al. https://doi.org/10.5194/acp-18-7539-2018
74. Air pollutant emissions from Chinese households: A major and underappreciated ambient pollution source J. Liu et al. https://doi.org/10.1073/pnas.1604537113
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77. A long-term estimation of biogenic volatile organic compound (BVOC) emission in China from 2001–2016: the roles of land cover change and climate variability H. Wang et al. https://doi.org/10.5194/acp-21-4825-2021
78. Enhanced summertime ozone and SOA from biogenic volatile organic compound (BVOC) emissions due to vegetation biomass variability during 1981–2018 in China J. Cao et al. https://doi.org/10.5194/acp-22-2351-2022
79. Application of Weather Research and Forecasting Model with Chemistry (WRF/Chem) over northern China: Sensitivity study, comparative evaluation, and policy implications L. Wang et al. https://doi.org/10.1016/j.atmosenv.2014.12.052
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