OOIR: Observatory of International Research

Papers

(The H4-Index of Atmospheric Pollution Research is 34. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)

Article	Citations
How do low wind speeds and high levels of air pollution support the spread of COVID-19?	175
Air quality predictions with a semi-supervised bidirectional LSTM neural network	103
Characteristics, secondary transformation, and health risk assessment of ambient volatile organic compounds (VOCs) in urban Beijing, China	91
A long-term multi-parametric monitoring study: Indoor air quality (IAQ) and the sources of the pollutants, prevalence of sick building syndrome (SBS) symptoms, and respiratory health indicators	71
Evaluation of China's pilot low-carbon city program: A perspective of industrial carbon emission efficiency	64
Presence of SARS-CoV-2 in the air of public places and transportation	63
A graph-based LSTM model for PM2.5 forecasting	55
PM2.5 concentrations forecasting in Beijing through deep learning with different inputs, model structures and forecast time	54
Global, continental, and national variation in PM2.5, O3, and NO2 concentrations during the early 2020 COVID-19 lockdown	53
A new multi-data-driven spatiotemporal PM2.5 forecasting model based on an ensemble graph reinforcement learning convolutional network	52
Temporal and spatial variability of carbonaceous species (EC; OC; WSOC and SOA) in PM2.5 aerosol over five sites of Indo-Gangetic Plain	50
Seasonal variations, source apportionment, and health risk assessment of trace metals in PM2.5 in the typical industrial city of changzhi, China	49
Influence of waste oil-biodiesel on toxic pollutants from marine engine coupled with emission reduction measures at various loads	49
A review on ambient and indoor air pollution status in Africa	49
Air pollution and critical air pollutant assessment during and after COVID-19 lockdowns: Evidence from pandemic hotspots in China, the Republic of Korea, Japan, and India	46
Characteristics, source apportionment and chemical conversions of VOCs based on a comprehensive summer observation experiment in Beijing	45
Effect of low CeO2 nanoparticles dosage in biodiesel-blends on combustion parameters and toxic pollutants from common-rail diesel engine	43
Effects of roadside green infrastructure on particle exposure: A focus on cyclists and pedestrians on pathways between urban roads and vegetative barriers	42
Air pollutant prediction based on ARIMA-WOA-LSTM model	41
Application of aerosol classification methods based on AERONET version 3 product over eastern Mediterranean and Black Sea	40
Evaluation of machine learning models for predicting the temporal variations of dust storm index in arid regions of Iran	40
Investigating the relationship of aerosols with enhanced vegetation index and meteorological parameters over Pakistan	40
Composition and transformation chemistry of tire-wear derived organic chemicals and implications for air pollution	39
Indoor and outdoor concentrations of benzene, toluene, ethylbenzene and xylene in some Italian schools evaluation of areas with different air pollution	39
Assessment of pedestrian exposure and deposition of PM10, PM2.5 and ultrafine particles at an urban roadside: A case study of Xi'an, China	39

Integrated modelling for mapping spatial sources of dust in central Asia - An important dust source in the global atmospheric system	37
Assessment of foliar dust particle retention and toxic metal accumulation ability of fifteen roadside tree species: Relationship and mechanism	37
Silver linings in the dark clouds of COVID-19: Improvement of air quality over India and Delhi metropolitan area from measurements and WRF-CHIMERE model simulations	36
Evaluating the CO2 emission reduction effect of China's battery electric vehicle promotion efforts	36
Determinants of rear-of-wheel and tire-road wear particle emissions by light-duty vehicles using on-road and test track experiments	36
Short-term prediction of particulate matter (PM10 and PM2.5) in Seoul, South Korea using tree-based machine learning algorithms	35
Spatial assessment of PM10 hotspots using Random Forest, K-Nearest Neighbour and Naïve Bayes	35
Urbanization level, industrial structure adjustment and spatial effect of urban haze pollution: Evidence from China's Yangtze River Delta urban agglomeration	34
Spatiotemporal variations and potential sources of tropospheric formaldehyde over eastern China based on OMI satellite data	34
Ambient volatile organic compounds in a heavy industrial city: Concentration, ozone formation potential, sources, and health risk assessment	34