65 citations as recorded by crossref.

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4. India’s Maiden air quality forecasting framework for megacities of divergent environments: The SAFAR-project G. Beig et al. 10.1016/j.envsoft.2021.105204
5. Variability in air quality, ozone formation potential by VOCs, and associated air pollution attributable health risks for Delhi's inhabitants S. Sharma et al. 10.1039/D4EA00064A
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7. Regional pollution loading in winter months over India using high resolution WRF-Chem simulation R. Jat et al. 10.1016/j.atmosres.2020.105326
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9. Diurnal variability and trends of air pollution in association with heat stress over five indian megacities M. Mehta et al. 10.1007/s10661-025-14040-3
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11. Temporally resolved sectoral and regional contributions to air pollution in Beijing: informing short-term emission controls T. Ansari et al. 10.5194/acp-21-4471-2021
12. On the transition of major pollutant and O3 production regime during Covid-19 lockdowns L. R et al. 10.1016/j.jenvman.2022.116907
13. Health risk assessment of workers’ exposure to BTEX and PM during refueling in an urban fuel station S. Jayaraj & S. Shiva Nagendra 10.1007/s10661-023-12130-8
14. Relationship between summertime concurring PM2.5 and O3 pollution and boundary layer height differs between Beijing and Shanghai, China Y. Miao et al. 10.1016/j.envpol.2020.115775
15. COVID-19 lockdown and air quality of SAFAR-India metro cities R. Yadav et al. 10.1016/j.uclim.2020.100729
16. Impact of Mitigation Strategies on Ambient Air Quality: A WRF-Chem Case Study of Ahmedabad City in Western India Y. Rami et al. 10.1007/s11270-025-07918-y
17. Statistical Emulation of Winter Ambient Fine Particulate Matter Concentrations From Emission Changes in China L. Conibear et al. 10.1029/2021GH000391
18. Impact of electric and clean-fuel vehicles on future PM2.5 and ozone pollution over Delhi C. Mogno et al. 10.1088/2515-7620/ad507f
19. Insight Study of Trace Elements in PM2.5 During Nine Years in Delhi, India: Seasonal Variation, Source Apportionment, and Health Risks Assessment S. Gupta et al. 10.1007/s00244-024-01070-0
20. Emission Sector Impacts on Air Quality and Public Health in China From 2010 to 2020 L. Conibear et al. 10.1029/2021GH000567
21. Sources of PM2.5 and its responses to emission reduction strategies in the Central Plains Economic Region in China: Implications for the impacts of COVID-19 H. Du et al. 10.1016/j.envpol.2021.117783
22. Impacts of anthropogenic aerosols on orographic precipitation in Arizona J. Henao et al. 10.1016/j.uclim.2023.101561
23. A detrended fluctuation analysis to examine the pollutant pattern over Gangetic West Bengal of India B. Halder et al. 10.1140/epjp/s13360-024-05570-9
24. Ozone sensitivity factor: NOX or NMHCs?: A case study over an urban site in Delhi, India A. Sharma et al. 10.1016/j.uclim.2021.100980
25. Evaluating the sensitivity of fine particulate matter (PM2.5) simulations to chemical mechanism in WRF-Chem over Delhi R. Jat et al. 10.1016/j.atmosenv.2024.120410
26. Machine learning reveals the effects of drivers on PM2.5 and CO2 based on ensemble source apportionment method H. Xu et al. 10.1016/j.atmosres.2023.107019
27. TEMDI: A Temporal Enhanced Multisource Data Integration model for accurate PM2.5 concentration forecasting K. Ren et al. 10.1016/j.apr.2024.102269
28. A bivariate simultaneous pollutant forecasting approach by Unified Spectro-Spatial Graph Neural Network (USSGNN) and its application in prediction of O3 and NO2 for New Delhi, India S. Mandal et al. 10.1016/j.scs.2024.105741
29. Insights into surface ozone variability in India (1980–2014) through CMIP6 model analysis A. Anand K A et al. 10.1016/j.atmosenv.2025.121180
30. Impact of model resolution and its representativeness consistency with observations on operational prediction of PM2.5 with 3D-VAR data assimilation Y. Wei et al. 10.1016/j.apr.2024.102141
31. Editorial: Machine learning in studies of atmospheric environment and climate change Y. Chen et al. 10.3389/fenvs.2023.1280733
32. Association of retreating monsoon and extreme air pollution in a megacity G. Beig et al. 10.1016/j.jes.2021.01.004
33. Apict:Air Pollution Epidemiology Using Green AQI Prediction During Winter Seasons in India S. Dey et al. 10.1109/TSUSC.2023.3343922
34. Quantifying the high resolution seasonal emission of air pollutants from crop residue burning in India S. Sahu et al. 10.1016/j.envpol.2021.117165
35. PM2.5 diminution and haze events over Delhi during the COVID-19 lockdown period: an interplay between the baseline pollution and meteorology S. Dhaka et al. 10.1038/s41598-020-70179-8
36. Implications for ozone control by understanding the survivor bias in observed ozone-volatile organic compounds system Z. Wang et al. 10.1038/s41612-022-00261-7
37. Role of meteorological regime in mitigating biomass induced extreme air pollution events G. Beig et al. 10.1016/j.uclim.2020.100756
38. Analysis of various transport modes to evaluate personal exposure to PM2.5 pollution in Delhi K. Maji et al. 10.1016/j.apr.2020.12.003
39. Anomalous behaviour of ozone under COVID-19 and explicit diagnosis of O3-NOx-VOCs mechanism A. Rathod et al. 10.1016/j.heliyon.2021.e06142
40. Exacerbation of Fatality Rates Induced by Poor Air Quality Due to Open-Air Mass Funeral Pyre Cremation during the Second Wave of COVID-19 M. Manoj et al. 10.3390/toxics10060306
41. Unprecedented reduction in air pollution and corresponding short-term premature mortality associated with COVID-19 lockdown in Delhi, India K. Maji et al. 10.1080/10962247.2021.1905104
42. Ammonium Chloride Associated Aerosol Liquid Water Enhances Haze in Delhi, India Y. Chen et al. 10.1021/acs.est.2c00650
43. Process-based diagnostics of extreme pollution trail using numerical modelling during fatal second COVID-19 wave in the Indian capital G. Beig et al. 10.1016/j.chemosphere.2022.134271
44. Assessment of the Statistical Performance of Chemical Transport Model Studies in India R. Shandilya et al. 10.1021/acsestair.4c00072
45. Insights on Air Pollution During COVID-19: A Review S. Kumar 10.1007/s41810-023-00173-w
46. Validation and Spatial–Temporal Variability of Particulate Matter in Urban area Using WRF-Chem with Local and Global Emission Inventories Y. Rami et al. 10.1007/s11270-024-07540-4
47. Influence of meteorological variables and air pollutants on fog/smog formation in seven major cities of Indo-Gangetic Plain K. Lakra & K. Avishek 10.1007/s10661-024-12662-7
48. Remote sensing and GIS techniques for investigating air pollution’s impact on major crop yields L. Mohammad et al. 10.1007/s10668-025-06117-3
49. Source apportionment of particulate matter based on numerical simulation during a severe pollution period in Tangshan, North China J. He et al. 10.1016/j.envpol.2020.115133
50. Investigating the importance of sub-grid particle formation in point source plumes over eastern China using IAP-AACM v1.0 with a sub-grid parameterization Y. Wei et al. 10.5194/gmd-14-4411-2021
51. A study of cross-correlations between PM2.5 and O3 based on Copula and Multifractal methods J. Zhang et al. 10.1016/j.physa.2021.126651
52. Spatio-temporal variations of air pollutants and human health exposure impacts during 2023 haze through respiratory deposition analysis in Delhi-NCR, India M. Yadav et al. 10.1016/j.hazadv.2024.100575
53. Investigating the background and local contribution of the oxidants in London and Bangkok M. Khan et al. 10.1039/D0FD00086H
54. MODIS-Derived Fire Characteristics and Greenhouse Gas Emissions from Cropland Residue Burning in Central India T. Ray et al. 10.3390/su142416612
55. Simulating organic aerosol in Delhi with WRF-Chem using the volatility-basis-set approach: exploring model uncertainty with a Gaussian process emulator E. Reyes-Villegas et al. 10.5194/acp-23-5763-2023
56. Đánh giá sự phát thải khí nhà kính tại thành phố Cần Thơ - Trường hợp nghiên cứu tại ba quận Ninh Kiều, Cái Răng và Bình Thủy T. Nguyễn et al. 10.22144/ctu.jvn.2023.103
57. Using Short‐Term Data to Quickly and Quantitatively Determine Formation Mechanisms of PM2.5 and Ozone E. Zhao & Y. Kuo 10.1002/clen.202100184
58. Cross-evaluating WRF-Chem v4.1.2, TROPOMI, APEX, and in situ NO2 measurements over Antwerp, Belgium C. Poraicu et al. 10.5194/gmd-16-479-2023
59. Ensemble source apportionment of air pollutants and carbon dioxide based on online measurements Z. Wang et al. 10.1016/j.jclepro.2022.133468
60. A Multi-model Air Quality System for Health Research: Road model development and evaluation M. Seaton et al. 10.1016/j.envsoft.2022.105455
61. Road transport impact on PM2.5 pollution over Delhi during the post-monsoon season C. Mogno et al. 10.1016/j.aeaoa.2022.100200
62. Sensitivity of Air Pollution Exposure and Disease Burden to Emission Changes in China Using Machine Learning Emulation L. Conibear et al. 10.1029/2021GH000570
63. Air pollution in New Delhi is more severe than observed due to hygroscopicity-induced bias in aerosol sampling Y. Chen 10.1038/s44407-024-00001-6
64. Assessing the Health Impacts of Air Pollutants on and their -related Health Risks on Vulnerable Populations in Delhi S. Rajpoot et al. 10.13005/ojc/400313
65. Emission inventory of inorganic trace gases from solid residential fuels over the National Capital Territory of India R. Arya et al. 10.1007/s11356-023-31278-x