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:
Separating Landslide Source and Runout Signatures with Topographic Attributes and Data Mining to Increase the Quality of Landslide Inventory
Jhe-Syuan Lai
Applied Sciences (2020) Vol. 10, Iss. 19, pp. 6652-6652
Open Access | Times Cited: 6
Jhe-Syuan Lai
Applied Sciences (2020) Vol. 10, Iss. 19, pp. 6652-6652
Open Access | Times Cited: 6
Showing 6 citing articles:
Uncertainty pattern in landslide susceptibility prediction modelling: Effects of different landslide boundaries and spatial shape expressions
Faming Huang, Jun Yan, Xuanmei Fan, et al.
Geoscience Frontiers (2021) Vol. 13, Iss. 2, pp. 101317-101317
Open Access | Times Cited: 141
Faming Huang, Jun Yan, Xuanmei Fan, et al.
Geoscience Frontiers (2021) Vol. 13, Iss. 2, pp. 101317-101317
Open Access | Times Cited: 141
Apriori association rule and K-means clustering algorithms for interpretation of pre-event landslide areas and landslide inventory mapping
Lütfiye Kuşak, Fatma Bünyan Ünel, Aydın Alptekin, et al.
Open Geosciences (2021) Vol. 13, Iss. 1, pp. 1226-1244
Open Access | Times Cited: 37
Lütfiye Kuşak, Fatma Bünyan Ünel, Aydın Alptekin, et al.
Open Geosciences (2021) Vol. 13, Iss. 1, pp. 1226-1244
Open Access | Times Cited: 37
Slope stability prediction based on adaptive CE factor quantum behaved particle swarm optimization-least-square support vector machine
Jingsheng Yang
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 2
Jingsheng Yang
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 2
“Novel Approaches in Landslide Monitoring and Data Analysis” Special Issue: Trends and Challenges
Jan Blahůt, Michel Jaboyedoff, Benni Thiebes
Applied Sciences (2021) Vol. 11, Iss. 21, pp. 10453-10453
Open Access | Times Cited: 5
Jan Blahůt, Michel Jaboyedoff, Benni Thiebes
Applied Sciences (2021) Vol. 11, Iss. 21, pp. 10453-10453
Open Access | Times Cited: 5
Unsupervised machine learning with different sampling strategies and topographic factors for distinguishing between landslide source and runout areas to improve landslide inventory production
Jhe-Syuan Lai, Junyi Huang, Hong-Mao Huang, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access
Jhe-Syuan Lai, Junyi Huang, Hong-Mao Huang, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access
Towards automatic delineation of landslide source and runout
Kushanav Bhuyan, Kamal Rana, Uğur Öztürk, et al.
Engineering Geology (2024), pp. 107866-107866
Open Access
Kushanav Bhuyan, Kamal Rana, Uğur Öztürk, et al.
Engineering Geology (2024), pp. 107866-107866
Open Access
