
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:
Impact of satellite AOD data on top-down estimation of biomass burning particulate matter emission
Xiaotong Ye, Tianhai Cheng, Xiaoyang Li, et al.
The Science of The Total Environment (2022) Vol. 864, pp. 161055-161055
Closed Access | Times Cited: 13
Xiaotong Ye, Tianhai Cheng, Xiaoyang Li, et al.
The Science of The Total Environment (2022) Vol. 864, pp. 161055-161055
Closed Access | Times Cited: 13
Showing 13 citing articles:
Advancing waste heat potential assessment for net-zero emissions: A review of demand-based thermal energy systems
Jinwoo Oh, Ukmin Han, Yujun Jung, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 202, pp. 114693-114693
Closed Access | Times Cited: 5
Jinwoo Oh, Ukmin Han, Yujun Jung, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 202, pp. 114693-114693
Closed Access | Times Cited: 5
Characteristics of Daytime‐And‐Nighttime AOD Differences Over China: A Perspective From CALIOP Satellite Observations and GEOS‐Chem Model Simulations
Xiaodong Jiang, Yi Wang, Lunche Wang, et al.
Journal of Geophysical Research Atmospheres (2024) Vol. 129, Iss. 8
Closed Access | Times Cited: 4
Xiaodong Jiang, Yi Wang, Lunche Wang, et al.
Journal of Geophysical Research Atmospheres (2024) Vol. 129, Iss. 8
Closed Access | Times Cited: 4
Global Emissions Inventory from Open Biomass Burning (GEIOBB): utilizing Fengyun-3D global fire spot monitoring data
Yang Liu, Jie Chen, Yusheng Shi, et al.
Earth system science data (2024) Vol. 16, Iss. 8, pp. 3495-3515
Open Access | Times Cited: 4
Yang Liu, Jie Chen, Yusheng Shi, et al.
Earth system science data (2024) Vol. 16, Iss. 8, pp. 3495-3515
Open Access | Times Cited: 4
Self-Supervised Spatiotemporal Clustering of Vehicle Emissions With Graph Convolutional Network
Lihong Pei, Yang Cao, Yu Kang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 11, pp. 16301-16312
Closed Access | Times Cited: 7
Lihong Pei, Yang Cao, Yu Kang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 11, pp. 16301-16312
Closed Access | Times Cited: 7
Global Emissions Inventory from Open Biomass Burning (GEIOBB): Utilizing Fengyun–3D global fire spot monitoring data
Yang Liu, Jie Chen, Yusheng Shi, et al.
(2024)
Open Access | Times Cited: 1
Yang Liu, Jie Chen, Yusheng Shi, et al.
(2024)
Open Access | Times Cited: 1
Reconstructing aerosol optical depth using spatiotemporal Long Short-Term Memory convolutional autoencoder
Lü Liang, Jacob Daniels, Michael Biancardi, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 2
Lü Liang, Jacob Daniels, Michael Biancardi, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 2
Harnessing Geospatial Approaches in Air Quality Mapping and Monitoring
Akshay Kumar Singh, Gaurav Tripathi, Jatin Kumar Choudhary, et al.
(2024), pp. 181-195
Closed Access
Akshay Kumar Singh, Gaurav Tripathi, Jatin Kumar Choudhary, et al.
(2024), pp. 181-195
Closed Access