50 citations as recorded by crossref.

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2. Assessment of clear-sky irradiance from 6S affected by local climatology of India S. Rizvi et al. https://doi.org/10.1016/j.jqsrt.2024.109166
3. Intercomparison of Aerosol Optical Thickness Derived from MODIS and in Situ Ground Datasets over Jaipur, a Semi-arid Zone in India S. Payra et al. https://doi.org/10.1021/acs.est.5b02225
4. Behavior of Cool and Hot/Warm Air Plumes in Tokyo Revealed by Artificial Intelligence R. Doi https://doi.org/10.1007/s41748-024-00405-0
5. Quantitative assessment of AOD from 17 CMIP5 models based on satellite-derived AOD over India A. Misra et al. https://doi.org/10.5194/angeo-34-657-2016
6. Performance of MODIS C6.1 Dark Target and Deep Blue aerosol products in Delhi National Capital Region, India: Application for aerosol studies V. Sharma et al. https://doi.org/10.1016/j.apr.2021.01.023
7. Satellite derived aerosol optical depth climatology over Bangalore, India V. Sreekanth https://doi.org/10.1016/j.asr.2013.01.022
8. Land use change-driven amplification of AOD over the Indo-Gangetic Plain R. Singh & A. Satyanarayana https://doi.org/10.1016/j.rsase.2026.102055
9. Temporal and spatial variability in aerosol optical depth (550 nm) over four major cities of India using data from MODIS onboard the Terra and Aqua satellites S. Payra et al. https://doi.org/10.1007/s12517-021-07455-y
10. Retrieval of Aerosol Optical Depth Over Land at 0.490 μm from Oceansat-2 Data A. Mishra et al. https://doi.org/10.1007/s12524-017-0715-5
11. Inter-comparison and performance evaluation of chemistry transport models over Indian region G. Govardhan et al. https://doi.org/10.1016/j.atmosenv.2015.10.065
12. Discussion on linear long-term trends in aerosol and cloud properties over India and its surrounding waters V. Sreekanth https://doi.org/10.1016/j.asr.2016.02.015
13. Climatological trends in satellite-derived aerosol optical depth over North India and its relationship with crop residue burning: Rural-urban contrast T. Singh et al. https://doi.org/10.1016/j.scitotenv.2020.140963
14. Spatial and temporal variation of aerosol optical depths over six major cities in Bangladesh S. Zaman et al. https://doi.org/10.1016/j.atmosres.2021.105803
15. Spatio-temporal variation of aerosol optical depth and black carbon mass concentration over five airports across Bangladesh: emphasis on effect of COVID-19 lockdown K. Joy et al. https://doi.org/10.1007/s44273-024-00038-9
16. A novel technique for nowcasting extreme rainfall events using early microphysical signatures of cloud development S. Nizar et al. https://doi.org/10.1371/journal.pclm.0000497
17. Aerosols properties over desert influenced locations situated in four different continents M. Soni et al. https://doi.org/10.1016/j.atmosenv.2021.118232
18. Temporal Dynamics and Long-Term Trends in Aerosol Optical Properties over Two Sites of Indo Gangetic Plains (IGP): Insights from AERONET Observations S. Wadhwa et al. https://doi.org/10.3390/atmos16030321
19. Space and ground-based remote sensing comparison of seasonal interaction of aerosol-cloud-precipitable water C. Anoruo https://doi.org/10.1016/j.atmosenv.2020.117864
20. Potential of plant mediated biosynthesis of iron nanoparticles and their application in dye degradation process R. Jain et al. https://doi.org/10.1080/10962247.2023.2196964
21. Spaceborne lidar retrieved composite and speciated aerosol extinction profiles and optical depths over India: A decade of observations P. Kulkarni & V. Sreekanth https://doi.org/10.1016/j.apr.2020.02.007
22. Aerosol–Cloud Interaction over South-Central India and Adjoining Coastal Areas S. Varpe et al. https://doi.org/10.1007/s41810-021-00123-4
23. Aerosol optical and physical properties during winter monsoon pollution transport in an urban environment S. Verma et al. https://doi.org/10.1007/s11356-013-2383-5
24. Development of a Regression Model for Estimating Daily Radiative Forcing Due to Atmospheric Aerosols from Moderate Resolution Imaging Spectrometers (MODIS) Data in the Indo Gangetic Plain (IGP) S. Shrestha et al. https://doi.org/10.3390/atmos9100405
25. Aerosol climatology, variability, and trends over the Indo-Gangetic Plain in CMIP6 models K. Shukla et al. https://doi.org/10.1016/j.pce.2024.103693
26. Observation of optical properties and sources of aerosols at Buddha’s birthplace, Lumbini, Nepal: environmental implications D. Rupakheti et al. https://doi.org/10.1007/s11356-018-1713-z
27. Performance Assessment of MODIS Dark Target and Deep Blue Aerosol Retrieval Algorithms Using AERONET Observations: A Case Study over Jaipur, Karunya University, and Broader Indian Regions M. Anitha & L. Kumar https://doi.org/10.1007/s10661-025-14653-8
28. Annual and Inter-annual Variability Coupled with Comparison of MODIS-AERONET Retrieved Aerosol Optical Depth over a Rural Site in the Central Indo-Gangetic Basin S. Varpe et al. https://doi.org/10.1007/s41810-022-00135-8
29. An Analysis of Atmospheric Aerosol Characteristics Using Remote Sensing Data in the Indian Region M. Anitha & L. Kumar https://doi.org/10.1007/s00024-023-03415-7
30. On the classification and sub-classification of aerosol key types over south central peninsular India: MODIS–OMI algorithm V. Sreekanth https://doi.org/10.1016/j.scitotenv.2013.09.038
31. Spatiotemporal distribution of aerosols over the Indian subcontinent and its dependence on prevailing meteorological conditions S. Nizar & B. Dodamani https://doi.org/10.1007/s11869-019-00677-w
32. Validation of OMI seasonal and spatio-temporal variations in aerosol-cloud interactions over Banizoumbou using AERONET data C. Anoruo https://doi.org/10.1016/j.jastp.2020.105457
33. Analysis and Variation of the Maiac Aerosol Optical Depth in Underexplored Urbanized Area of National Capital Region, India V. Sharma et al. https://doi.org/10.2478/jlecol-2022-0019
34. Two decades of aerosol trends over India: seasonal characteristics and urban-rural dynamics P. Namdeo et al. https://doi.org/10.1088/1748-9326/ad9291
35. A Dark Target Algorithm for the GOSAT TANSO-CAI Sensor in Aerosol Optical Depth Retrieval over Land G. Zhong et al. https://doi.org/10.3390/rs9060524
36. Intercomparison of MODIS, MISR, OMI, and CALIPSO aerosol optical depth retrievals for four locations on the Indo-Gangetic plains and validation against AERONET data H. Bibi et al. https://doi.org/10.1016/j.atmosenv.2015.04.013
37. Composition and source based aerosol classification using machine learning algorithms S. Annapurna et al. https://doi.org/10.1016/j.asr.2023.09.068
38. Assessment of nighttime air quality over an urban location in Indo-Gangetic plain using remote sensing observations A. Dagestani et al. https://doi.org/10.1016/j.apr.2023.101982
39. Seasonal Verification of Dust Forecast over the Indian Region H. Fatima et al. https://doi.org/10.1007/s00024-017-1629-4
40. The Sub-Daily Variability of Aerosol Loading and Associated Radiative Forcing Over the Indian Region T. Mukherjee & V. Vinoj https://doi.org/10.3389/feart.2021.727169
41. Seasonal Variation of Potential Source Locations of Atmospheric Particulates over the Indo-Gangetic Plain of India M. Rahman et al. https://doi.org/10.4236/ojap.2020.91001
42. Remote sensing of aerosols due to biomass burning over Kanpur, Sao-Paulo, Ilorin and Canberra S. Tariq et al. https://doi.org/10.1007/s10874-022-09444-1
43. Inter-comparison of multi-satellites and Aeronet AOD over Indian Region R. Mangla et al. https://doi.org/10.1016/j.atmosres.2020.104950
44. Bias correction of MODIS retrieved Aerosol Optical Depth using Machine Learning and Deep Learning Techniques M. Anitha & L. Kumar https://doi.org/10.1080/01431161.2025.2571235
45. Quantifying the impact of biomass burning and dust storm activities on aerosol characteristics over the Indo-Gangetic Basin A. Singh et al. https://doi.org/10.1016/j.atmosenv.2021.118893
46. An overview of the physico-chemical characteristics of dust at Kanpur in the central Indo-Gangetic basin A. Misra et al. https://doi.org/10.1016/j.atmosenv.2014.08.043
47. Aerosol Optical Properties over South Asia from Ground-Based Observations and Remote Sensing: A Review S. Ramachandran & S. Kedia https://doi.org/10.3390/cli1030084
48. Quantification of aerosol type, and sources of aerosols over the Indo-Gangetic Plain S. Kedia et al. https://doi.org/10.1016/j.atmosenv.2014.09.022
49. Long-term (2007–2013) analysis of aerosol optical properties over four locations in the Indo-Gangetic plains H. Bibi et al. https://doi.org/10.1364/AO.55.006199
50. Spatio-temporal variations in the estimation of PM10 from MODIS-derived aerosol optical depth for the urban areas in the Central Indo-Gangetic Plain S. Chitranshi et al. https://doi.org/10.1007/s00703-014-0347-z