Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Machine Learning for Attribution of Heat and Drought in Southwestern Australia
Michael B. Richman, Lance M. Leslie
Procedia Computer Science (2020) Vol. 168, pp. 3-10
Open Access | Times Cited: 9

Showing 9 citing articles:

Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review
Sancho Salcedo‐Sanz, Jorge Pérez-Aracíl, Guido Ascenso, et al.
Theoretical and Applied Climatology (2023) Vol. 155, Iss. 1, pp. 1-44
Open Access | Times Cited: 28
Non-linear modes of global sea surface temperature variability and their relationships with global precipitation and temperature
Chibuike Chiedozie Ibebuchi, Michael B. Richman
Environmental Research Letters (2024) Vol. 19, Iss. 2, pp. 024001-024001
Open Access | Times Cited: 4
Machine Learning Identification of Attributes and Predictors for a Flash Drought in Eastern Australia
Milton S. Speer, Joshua Hartigan, Lance M. Leslie
Climate (2024) Vol. 12, Iss. 4, pp. 49-49
Open Access | Times Cited: 4
Impact of Accelerated Climate Change on Maximum Temperature Differences between Western and Coastal Sydney
Varsha Bubathi, Lance M. Leslie, Milton S. Speer, et al.
Climate (2023) Vol. 11, Iss. 4, pp. 76-76
Open Access | Times Cited: 8
Machine Learning Assessment of the Impact of Global Warming on the Climate Drivers of Water Supply to Australia’s Northern Murray-Darling Basin
Milton S. Speer, Joshua Hartigan, Lance M. Leslie
Water (2022) Vol. 14, Iss. 19, pp. 3073-3073
Open Access | Times Cited: 9
Application of Machine Learning to Attribution and Prediction of Seasonal Precipitation and Temperature Trends in Canberra, Australia
Joshua Hartigan, Shev MacNamara, Lance M. Leslie
Climate (2020) Vol. 8, Iss. 6, pp. 76-76
Open Access | Times Cited: 14
Attribution and Prediction of Precipitation and Temperature Trends within the Sydney Catchment Using Machine Learning
Joshua Hartigan, Shev MacNamara, Lance M. Leslie, et al.
Climate (2020) Vol. 8, Iss. 10, pp. 120-120
Open Access | Times Cited: 7
Machine learning suggests climate and seasonal definitions should be changed under global warming
Milton S. Speer, Lance M. Leslie
(2024) Vol. 1, Iss. 3
Open Access
Southeast Australia encapsulates the recent decade of extreme global weather and climate events
Milton S. Speer, Lance M. Leslie
(2023) Vol. 1, Iss. 1
Open Access | Times Cited: 1
Page 1

Scroll to top