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:

A Reproducible and Reusable Pipeline for Segmentation of Geoscientific Imagery
Daniel Buscombe, Evan B. Goldstein
Earth and Space Science (2022) Vol. 9, Iss. 9
Open Access | Times Cited: 17

Showing 17 citing articles:

The future of coastal monitoring through satellite remote sensing
Sean Vitousek, Daniel Buscombe, Kilian Vos, et al.
Cambridge Prisms Coastal Futures (2022) Vol. 1
Open Access | Times Cited: 98

A flexible deep learning crater detection scheme using Segment Anything Model (SAM)
Iraklis Giannakis, Anshuman Bhardwaj, Lydia Sam, et al.
Icarus (2023) Vol. 408, pp. 115797-115797
Open Access | Times Cited: 27

An AI approach to operationalise global daily PlanetScope satellite imagery for river water masking
Samuel Valman, Doreen S. Boyd, Patrice Carbonneau, et al.
Remote Sensing of Environment (2023) Vol. 301, pp. 113932-113932
Open Access | Times Cited: 17

Enhancing Land Cover Mapping and Monitoring: An Interactive and Explainable Machine Learning Approach Using Google Earth Engine
Haifei Chen, Liping Yang, Qiusheng Wu
Remote Sensing (2023) Vol. 15, Iss. 18, pp. 4585-4585
Open Access | Times Cited: 15

On the use of convolutional deep learning to predict shoreline change
Eduardo Gomez-de la Peña, Giovanni Coco, Colin Whittaker, et al.
Earth Surface Dynamics (2023) Vol. 11, Iss. 6, pp. 1145-1160
Open Access | Times Cited: 11

A 1.2 Billion Pixel Human-Labeled Dataset for Data-Driven Classification of Coastal Environments
Daniel Buscombe, Phillipe A. Wernette, Sharon Fitzpatrick, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 10

CoastSeg: an accessible and extendable hub for satellite-derived-shoreline (SDS) detection and mapping
Sharon Fitzpatrick, Daniel Buscombe, Jonathan A. Warrick, et al.
The Journal of Open Source Software (2024) Vol. 9, Iss. 99, pp. 6683-6683
Open Access | Times Cited: 3

SandSnap: Measuring and mapping beach grain size using crowd-sourced smartphone images
Brian McFall, David L. Young, Shelley Whitmeyer, et al.
Coastal Engineering (2024) Vol. 192, pp. 104554-104554
Open Access | Times Cited: 2

Wave runup and total water level observations from time series imagery at several sites with varying nearshore morphologies
Mark L. Buckley, Daniel Buscombe, Justin J. Birchler, et al.
Coastal Engineering (2024) Vol. 193, pp. 104600-104600
Open Access | Times Cited: 1

Assessment of Soil Classification from Synthetic Aperture Radar
Tess Priest, Julie Paprocki
Geo-Congress 2019 (2024), pp. 594-602
Closed Access

Automated River Substrate Mapping From Sonar Imagery With Machine Learning
Cameron S. Bodine, Daniel Buscombe, Toby Dylan Hocking
Journal of Geophysical Research Machine Learning and Computation (2024) Vol. 1, Iss. 3
Open Access

Remote Sensing Large‐Wood Storage Downstream of Reservoirs During and After Dam Removal: Elwha River, Washington, USA
Daniel Buscombe, Jonathan A. Warrick, Andrew C. Ritchie, et al.
Earth and Space Science (2024) Vol. 11, Iss. 8
Open Access

Regional-Scale Image Segmentation of Sandy Beaches in Southeastern Australia
Suk Yee Yong, Julian O’Grady, Rebecca Gregory, et al.
Remote Sensing (2024) Vol. 16, Iss. 18, pp. 3534-3534
Open Access

Remote sensing large-wood storage downstream of reservoirs during and after dam removal: Elwha River, Washington, USA
Daniel Buscombe, Jonathan A. Warrick, Andrew C. Ritchie, et al.
EarthArXiv (California Digital Library) (2024)
Open Access

Semantic segmentation framework for atoll satellite imagery: An in-depth exploration using UNet variants and Segmentation Gym
Rui Wang, Tahiya Chowdhury, Alejandra C. Ortiz
Applied Computing and Geosciences (2024), pp. 100217-100217
Open Access

Page 1

Scroll to top