33 citations as recorded by crossref.

1. A case study of surface ozone source contributions in the Seoul metropolitan area using the adjoint of CMAQ A. Kashfi Yeganeh et al. https://doi.org/10.1080/10962247.2024.2361021
2. Health burden from food systems is highly unequal across income groups L. Zheng et al. https://doi.org/10.1038/s43016-024-00946-7
3. Rapid source intensity inversion in heterogeneous built environments using a CFD–RSM–LP framework with field validation Y. Wang et al. https://doi.org/10.1016/j.uclim.2026.102990
4. Increased air pollution exposure among the Chinese population during the national quarantine in 2020 H. Shen et al. https://doi.org/10.1038/s41562-020-01018-z
5. Development of the adjoint of the unified tropospheric–stratospheric chemistry extension (UCX) in GEOS-Chem adjoint v36 I. Dedoussi et al. https://doi.org/10.5194/gmd-17-5689-2024
6. Spatiotemporally Detailed Quantification of Air Quality Benefits of Emissions–Part II: Sensitivity to Study Parameters and Assumptions A. Hakami et al. https://doi.org/10.1021/acsestair.4c00128
7. Use of Assimilation Analysis in 4D-Var Source Inversion: Observing System Simulation Experiments (OSSEs) with GOSAT Methane and Hemispheric CMAQ S. Voshtani et al. https://doi.org/10.3390/atmos14040758
8. Apportioning the ozone-related health impact to precursor emissions and formulating health-oriented ozone control strategies in Southeast Asia J. Hu et al. https://doi.org/10.1016/j.jenvman.2026.128780
9. Vertical Profile Corrections Explain Satellite–Inventory Ammonia Discrepancies and Reveal Concentrated Agricultural Sources in China Q. Liu et al. https://doi.org/10.1021/acs.est.5c08278
10. Responses of Photochemical Air Pollution in California’s San Joaquin Valley to Spatially and Temporally Resolved Changes in Precursor Emissions Y. Wang et al. https://doi.org/10.1021/acs.est.1c07011
11. High-resolution hybrid inversion of IASI ammonia columns to constrain US ammonia emissions using the CMAQ adjoint model Y. Chen et al. https://doi.org/10.5194/acp-21-2067-2021
12. Hybrid IFDMB/4D-Var inverse modeling to constrain the spatiotemporal distribution of CO and NO2 emissions using the CMAQ adjoint model J. Moon et al. https://doi.org/10.1016/j.atmosenv.2024.120490
13. Evaluating oil and gas contributions to ambient nonmethane hydrocarbon mixing ratios and ozone-related metrics in the Colorado Front Range C. Lyu et al. https://doi.org/10.1016/j.atmosenv.2020.118113
14. The first application of a numerically exact, higher-order sensitivity analysis approach for atmospheric modelling: implementation of the hyperdual-step method in the Community Multiscale Air Quality Model (CMAQ) version 5.3.2 J. Liu et al. https://doi.org/10.5194/gmd-17-567-2024
15. An Adaptive Auto‐Reduction Solver for Speeding Up Integration of Chemical Kinetics in Atmospheric Chemistry Models: Implementation and Evaluation in the Kinetic Pre‐Processor (KPP) Version 3.0.0 H. Lin et al. https://doi.org/10.1029/2022MS003293
16. Modeling the societal health and climate benefits associated with transitioning the US school bus fleet from diesel to electric Y. Oztaner et al. https://doi.org/10.46830/writn.24.00024
17. Assimilation of GOSAT Methane in the Hemispheric CMAQ; Part I: Design of the Assimilation System S. Voshtani et al. https://doi.org/10.3390/rs14020371
18. Plant-Level Health Benefits from Decarbonizing the Iron and Steel Industry in China J. Zhang et al. https://doi.org/10.1021/acs.est.5c11135
19. An improved version of the piecewise parabolic method advection scheme: description and performance assessment in a bidimensional test case with stiff chemistry in toyCTM v1.0.1 S. Mailler et al. https://doi.org/10.5194/gmd-16-7509-2023
20. Construction activities drive half of China's ambient PM2.5 health burden Z. Wang et al. https://doi.org/10.1016/j.ese.2026.100666
21. Investigating information transfer in CO2 flux inversions: an analysis of ensemble Kalman filter based on Monte Carlo simulations S. Fan & Y. Li https://doi.org/10.5194/acp-26-9257-2026
22. Substantial differences in source contributions to carbon emissions and health damage necessitate balanced synergistic control plans in China Y. Chen et al. https://doi.org/10.1038/s41467-024-50327-8
23. Deep Learning Emulator Towards Both Forward and Adjoint Modes of Atmospheric Gas-Phase Chemical Process Y. Liu et al. https://doi.org/10.3390/atmos16091109
24. Spatiotemporal optimization of NOx and VOC emissions using a hybrid inversion framework and implications for ozone sensitivity-regime diagnosis J. Moon et al. https://doi.org/10.5194/acp-26-10379-2026
25. Location-Specific Control of Precursor Emissions to Mitigate Photochemical Air Pollution Y. Wang et al. https://doi.org/10.1021/acs.est.3c01934
26. Health benefits of phasing out coal-fired power plants in Ontario, Alberta, and Canada Y. Öztaner et al. https://doi.org/10.1016/j.atmosenv.2024.120711
27. Aligning Climate and Health Co-Benefits through Supply-Chain Energy Intensity Coordination in China J. Du et al. https://doi.org/10.1021/acs.est.5c08764
28. Indirect emissions contribute a quarter of air pollution-related health burden of food systems in China L. Zheng et al. https://doi.org/10.1038/s43016-025-01193-0
29. High-resolution modeling of gaseous air pollutants over Tehran and validation with surface and satellite data N. Shahrokhishahraki et al. https://doi.org/10.1016/j.atmosenv.2021.118881
30. Spatiotemporally Detailed Quantification of Air Quality Benefits of Emissions Reductions–Part I: Benefit-per-Ton Estimates for Canada and the U.S. S. Zhao et al. https://doi.org/10.1021/acsestair.4c00127
31. Lagrangian and Eulerian modelling of 106Ru atmospheric transport in 2017 over northern hemisphere L. Adenis et al. https://doi.org/10.1016/j.jenvrad.2024.107416
32. Dynamic harmonization of source-oriented and receptor models for source apportionment X. Zhang et al. https://doi.org/10.1016/j.scitotenv.2022.160312
33. Adjoint analysis of PM2.5 and O3 episodes in priority control zones in China R. Zhang et al. https://doi.org/10.1016/j.ese.2025.100612