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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Spatio-temporal air quality analysis and PM2.5 prediction over Hyderabad City, India using artificial intelligence techniques
P R Gokul, Aneesh Mathew, Avadhoot Bhosale, et al.
Ecological Informatics (2023) Vol. 76, pp. 102067-102067
Closed Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Short term water demand forecast modelling using artificial intelligence for smart water management
M Kavya, Aneesh Mathew, Padala Raja Shekar, et al.
Sustainable Cities and Society (2023) Vol. 95, pp. 104610-104610
Closed Access | Times Cited: 53
Optimized machine learning model for air quality index prediction in major cities in India
Suresh Kumar Natarajan, Prakash Shanmurthy, A. Daniel, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 25
Real-time IoT-powered AI system for monitoring and forecasting of air pollution in industrial environment
Montaser N.A. Ramadan, Mohammed A. H. Ali, Shin Yee Khoo, et al.
Ecotoxicology and Environmental Safety (2024) Vol. 283, pp. 116856-116856
Open Access | Times Cited: 22
Spatially resolved air quality index prediction in megacities with a CNN-Bi-LSTM hybrid framework
Reza Rabie, Milad Asghari, Hossein Nosrati, et al.
Sustainable Cities and Society (2024) Vol. 109, pp. 105537-105537
Closed Access | Times Cited: 20
A comprehensive evaluation of deep learning approaches for ground-level ozone prediction across different regions
Guanjun Lin, Hang Zhao, Yufeng Chi
Ecological Informatics (2025), pp. 103024-103024
Open Access | Times Cited: 2
Deep learning-based air pollution analysis on carbon monoxide in Taiwan
Cheng‐Hong Yang, Po‐Hung Chen, Chih-Hsien Wu, et al.
Ecological Informatics (2024) Vol. 80, pp. 102477-102477
Open Access | Times Cited: 12
Prediction of land surface temperature using spectral indices, air pollutants, and urbanization parameters for Hyderabad city of India using six machine learning approaches
Gourav Suthar, Saurabh Singh, Nivedita Kaul, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 35, pp. 101265-101265
Closed Access | Times Cited: 10
Revealing the urban heat Island: Investigating spatiotemporal surface temperature dynamics, modeling, and interactions with controllable and non-controllable factors
Aneesh Mathew, K. S. Arunab, Atul Sharma
Remote Sensing Applications Society and Environment (2024) Vol. 35, pp. 101219-101219
Closed Access | Times Cited: 9
Modeling combined role of renewable electricity output, environmental regulations, and coal consumption in ecological sustainability
Munir Ahmad, Elma Šatrović
Ecological Informatics (2023) Vol. 75, pp. 102121-102121
Closed Access | Times Cited: 21
Forecasting China's agricultural carbon emissions: A comparative study based on deep learning models
Tiantian Xie, Zetao Huang, Tao Tan, et al.
Ecological Informatics (2024) Vol. 82, pp. 102661-102661
Open Access | Times Cited: 8
A novel ensemble machine learning method for accurate air quality prediction
Murat Emeç, Mustafa Yurtsever
International Journal of Environmental Science and Technology (2024)
Closed Access | Times Cited: 7
Applications of machine learning & Internet of Things for outdoor air pollution monitoring and prediction: A systematic literature review
Ihsane Gryech, Chaimae Asaad, Mounir Ghogho, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109182-109182
Closed Access | Times Cited: 6
Evaluation of non-stationary spatial relationship between meteorological-environmental parameters and PM2.5
Srija Roy, Chaitra Rao, Mohamed Abioui
Advances in Space Research (2024) Vol. 73, Iss. 8, pp. 4106-4124
Closed Access | Times Cited: 6
Integrating machine learning techniques for Air Quality Index forecasting and insights from pollutant-meteorological dynamics in sustainable urban environments
K. Karthick, Aruna S.K., R. Dharmaprakash, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 4, pp. 3733-3748
Closed Access | Times Cited: 6
Trend Analysis of Aerosol Concentrations over Last Two Decades from MODIS Retrievals over Hyderabad District of India
A K Nandan, Aneesh Mathew, Padala Raja Shekar
Geomatics and Environmental Engineering (2024) Vol. 18, Iss. 1, pp. 83-116
Open Access | Times Cited: 5
Three-hourly PM2.5 and O3 concentrations prediction based on time series decomposition and LSTM model with attention mechanism
Yuanyue Chu, Jian Yao, De-wen Qiao, et al.
Atmospheric Pollution Research (2023) Vol. 14, Iss. 11, pp. 101879-101879
Closed Access | Times Cited: 12
Monitoring and estimation of urban emissions with low-cost sensor networks and deep learning
Huynh Nguyen, Trung H. Le, Merched Azzi, et al.
Ecological Informatics (2024) Vol. 82, pp. 102750-102750
Open Access | Times Cited: 4
Unveiling urban air quality dynamics during COVID-19: a Sentinel-5P TROPOMI hotspot analysis
Aneesh Mathew, Padala Raja Shekar, Abhilash T Nair, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Air Quality of Bursa: Temporal and Spatial Evaluation of PM10, PM2.5, NO2 and SO2 Pollutants Using IDW Geostatistical Technique
Duygu ARIKAN, Ferruh Yıldız
Doğal Afetler ve Çevre Dergisi (2025) Vol. 11, Iss. 1, pp. 181-193
Open Access
Prisma-Based Review Of Mis Solutions For Enhanced Disaster Response And Resource Allocation
Emdadul Haque, Zayadul Hasan
SSRN Electronic Journal (2025)
Closed Access
A PM2.5 spatiotemporal prediction model based on mixed graph convolutional GRU and self-attention network
Zhao Guyu, Xiaoyuan Yang, Shi Jiansen, et al.
Environmental Pollution (2025), pp. 125748-125748
Closed Access
Spatiotemporal Changes of Pollutant Concentrations in South India during COVID-19 Lockdown Using Ground and Satellite-based data: a Comparative Analysis from the Machine Learning Model
Pelati Althaf, N.S.M.P. Latha Devi, Kanike Raghavendra Kumar
Water Air & Soil Pollution (2025) Vol. 236, Iss. 3
Closed Access
Application of machine learning models for PM2.5 prediction in bengaluru using precursor air pollutants and meteorological data
Gourav Suthar, Saurabh Singh
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 3
Closed Access
Decoding PM2.5 Prediction in Nanning Urban Area, China: Unraveling Model Superiorities and Drawbacks Through SARIMA, Prophet, and LightGBM
Minru Chen, Binglin Liu, Mei Liang, et al.
Algorithms (2025) Vol. 18, Iss. 3, pp. 167-167
Open Access
Toward causal artificial intelligence approach for PM2.5 interpretation: A discovery of structural causal models
Mallika Kliangkhlao, Apaporn Tipsavak, Thanathip Limna, et al.
Ecological Informatics (2025), pp. 103115-103115
Open Access
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