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OpenAlex Citation Counts

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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:

PM2.5 air pollution prediction through deep learning using meteorological, vehicular, and emission data: A case study of New Delhi, India
Deepti Shakya, Vishal Deshpande, Manish Kumar Goyal, et al.
Journal of Cleaner Production (2023) Vol. 427, pp. 139278-139278
Closed Access | Times Cited: 25

Showing 25 citing articles:

Estimation of PM2.5 Concentration across China Based on Multi-Source Remote Sensing Data and Machine Learning Methods
Yujie Yang, Zhige Wang, Chunxiang Cao, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 467-467
Open Access | Times Cited: 10
Resilience to Air Pollution: A Novel Approach for Detecting and Predicting Aerosol Atmospheric Rivers within Earth System Boundaries
Kuldeep Singh Rautela, Shivam Singh, Manish Kumar Goyal
Earth Systems and Environment (2024)
Closed Access | Times Cited: 8
A deep dive into delhi's air pollution: forecasting $${\varvec{P}}{{\varvec{M}}}_{2.5}$$ levels using a Bi-LSTM-GRU hybrid model
Shubham Ranjan, Sunil Kumar Singh
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Modelling Health Implications of Extreme PM2.5 Concentrations in Indian Sub-Continent: Comprehensive Review with Longitudinal Trends and Deep Learning Predictions
Kuldeep Singh Rautela, Manish Kumar Goyal
Technology in Society (2025), pp. 102843-102843
Closed Access
Research on accumulative time-delay effects between economic development and air pollution based on a novel grey relational analysis model
Ying Cai, Junjie Wang, Yimeng An, et al.
Journal of Cleaner Production (2025), pp. 145128-145128
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
A Hybrid Wavelet-Based Deep Learning Model for Accurate Prediction of Daily Surface PM2.5 Concentrations in Guangzhou City
Zhenfang He, Qingchun Guo, Zhaosheng Wang, et al.
Toxics (2025) Vol. 13, Iss. 4, pp. 254-254
Open Access
Predicting ambient PM2.5 concentrations via time series models in Anhui Province, China
Ahmad Hasnain, Muhammad Zaffar Hashmi, Sohaib Khan, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 5
Open Access | Times Cited: 3
Particulate matter forecast and prediction in Curitiba using machine learning
Marianna Gonçalves Dias Chaves, Adriel Bilharva da Silva, Emílio Graciliano Ferreira Mercuri, et al.
Frontiers in Big Data (2024) Vol. 7
Open Access | Times Cited: 2
Air Quality Monitoring Using Low-Cost Sensors in Urban Areas of Jodhpur, Rajasthan
Ramesh Kumar Huda, Pankaj Kumar, Rajnish Gupta, et al.
International Journal of Environmental Research and Public Health (2024) Vol. 21, Iss. 5, pp. 623-623
Open Access | Times Cited: 1
Machine learning and deep learning approaches for PM2.5 prediction: a study on urban air quality in Jaipur, India
Saurabh Singh, Gourav Suthar
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Aerosol Atmospheric Rivers: Detection and Spatio-Temporal Patterns
Manish Kumar Goyal, Kuldeep Singh Rautela
SpringerBriefs in applied sciences and technology (2024), pp. 19-41
Closed Access | Times Cited: 1
Transforming air pollution management in India with AI and machine learning technologies
Kuldeep Singh Rautela, Manish Kumar Goyal
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Temporal trends and predictive modeling of air pollutants in Delhi: a comparative study of artificial intelligence models
Omer A. Alawi, Haslinda Mohamed Kamar, Ali Alsuwaiyan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
A Short-Term Air Pollutant Concentration Forecasting Method Based on a Hybrid Neural Network and Metaheuristic Optimization Algorithms
Hossein Jalali, Farshid Keynia, Faezeh Amirteimoury, et al.
Sustainability (2024) Vol. 16, Iss. 11, pp. 4829-4829
Open Access
Application of Data Mining and AI&ML in Aerosol Pollution and Aerosol Atmospheric Rivers
Manish Kumar Goyal, Kuldeep Singh Rautela
SpringerBriefs in applied sciences and technology (2024), pp. 43-63
Closed Access
Aerosol Atmospheric Rivers: Impacts on Particulate Matter Concentrations and Risk Assessment
Manish Kumar Goyal, Kuldeep Singh Rautela
SpringerBriefs in applied sciences and technology (2024), pp. 65-78
Closed Access
Mining of dynamic traffic-meteorology-atmospheric pollutant association rules based on eclat method
Liu Y, Xinru Yang, Kui Liu, et al.
Atmospheric Pollution Research (2024), pp. 102305-102305
Closed Access
TKSTAGNet: A Top-K Spatio-Temporal Attention Gating Network for air pollution prediction
Hongliang Zhou, Yingchi Mao, Xiang Li, et al.
Expert Systems with Applications (2024), pp. 125409-125409
Closed Access
Novel spatio-temporal attention causal convolutional neural network for multi-site PM2.5 prediction
Yong Wang, Shuang Tian, P. Zhang
Frontiers in Environmental Science (2024) Vol. 12
Open Access
PR-FCNN: a data-driven hybrid approach for predicting PM2.5 concentration
Syed Azeem Inam, Abdullah Ayub Khan, Tehseen Mazhar, et al.
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access
Predicting PM 2.5 Levels over Indian Metropolitan Cities using Recurrent Neural Networks
Amitabha Govande, Raju Attada, Krishna Kumar Shukla
Research Square (Research Square) (2024)
Open Access
Predicting PM2.5 levels over Indian metropolitan cities using Recurrent Neural Networks
Amitabha Govande, Raju Attada, Krishna Kumar Shukla
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access
Hybrid CNN-LSTM Model for Accurate Long-Term and Short-Term Temperature Prediction: A Case Study for Bingöl and Tunceli
Anıl Utku
International Journal of Pure and Applied Sciences (2024)
Open Access
A Novel PM2.5 Concentration Forecasting Method Based on LFIG_DTW_HC Algorithm and Generalized Additive Model
Hong Yang, Zhang Han
Axioms (2023) Vol. 12, Iss. 12, pp. 1118-1118
Open Access
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