Open Access Helper

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:

Mapping subaerial sand-gravel-cobble fluvial sediment facies using airborne lidar and machine learning
Romina Díaz Gómez, G. B. Pasternack, Hervé Guillon, et al.
Geomorphology (2022) Vol. 401, pp. 108106-108106
Open Access | Times Cited: 21

Showing 21 citing articles:

Development and testing of a mechanistic potential niche model of riparian tree seedling recruitment
S. Phillips, G. B. Pasternack, Kenneth Larrieu
Ecological Modelling (2025) Vol. 501, pp. 110986-110986
Open Access | Times Cited: 1
Bed material facies mapping at braided river scale and evidence for trends in fine sediment
Justin Rogers, James Brasington, Jo Hoyle
Earth Surface Processes and Landforms (2025) Vol. 50, Iss. 2
Open Access | Times Cited: 1
Geospatial Artificial Intelligence (GeoAI) in the Integrated Hydrological and Fluvial Systems Modeling: Review of Current Applications and Trends
Carlos Gonzales‐Inca, Mikel Calle, Danny Croghan, et al.
Water (2022) Vol. 14, Iss. 14, pp. 2211-2211
Open Access | Times Cited: 28
Transfer learning achieves high recall for object classification in fluvial environments with limited data
Sebastian Schwindt, Lisa Meisinger, Beatriz Negreiros, et al.
Geomorphology (2024) Vol. 455, pp. 109185-109185
Open Access | Times Cited: 5
Comment on egusphere-2024-3697

(2025)
Closed Access
The variability of grain size metrics in gravel-bed rivers
Daniel Vázquez‐Tarrío, Alain Recking
CATENA (2025) Vol. 255, pp. 108974-108974
Closed Access
Guiding riparian vegetation planting with machine learning
Romina Díaz Gómez, G. B. Pasternack, Hervé Guillon
Journal of Ecohydraulics (2025), pp. 1-24
Closed Access
Machine learning algorithms of riverbed change and environments of the lower apalachicola river
Ali Alruzuq, Joann Mossa
Deleted Journal (2025) Vol. 7, Iss. 5
Open Access
Developing Extended and Unscented Kalman Filter-Based Neural Networks to Predict Cluster-Induced Roughness in Gravel Bed Rivers
Masoud Karbasi, Mohammad Ghasemian, Mehdi Jamei, et al.
Water Resources Management (2024) Vol. 38, Iss. 8, pp. 3023-3048
Closed Access | Times Cited: 3
Improved Q-Learning-Based Motion Control for Basketball Intelligent Robots Under Multi-Sensor Data Fusion
Jianping Lan, Xiujuan Dong
IEEE Access (2024) Vol. 12, pp. 57059-57070
Open Access | Times Cited: 3
A hierarchical method and workflow for the semi‐automated mapping of valley bottom geomorphic units using publicly available remote sensing datasets
Nuosha Zhang, Kirstie Fryirs
Earth Surface Processes and Landforms (2024) Vol. 49, Iss. 11, pp. 3524-3540
Open Access | Times Cited: 2
Automated detecting, segmenting and measuring of grains in images of fluvial sediments: The potential for large and precise data from specialist deep learning models and transfer learning
David Mair, Guillaume Witz, Ariel Henrique do Prado, et al.
Earth Surface Processes and Landforms (2023) Vol. 49, Iss. 3, pp. 1099-1116
Open Access | Times Cited: 6
Development of an automated mobile grain size mapping of a mixed sediment beach
Hironori Matsumoto, Adam P. Young
Earth Surface Processes and Landforms (2023) Vol. 48, Iss. 14, pp. 2704-2715
Open Access | Times Cited: 3
Mudflat surface sediment type mapping by remote sensing considering the effect of the chlorophyll-a content
Yujia Zhao, Dong Zhang, Huili Deng, et al.
Estuarine Coastal and Shelf Science (2023) Vol. 284, pp. 108276-108276
Closed Access | Times Cited: 1
Fine stock dynamics along an engineered Alpine river system
Junjian Deng, B. Camenen, Téa Piednoir, et al.
Environmental Fluid Mechanics (2023) Vol. 24, Iss. 4, pp. 789-811
Closed Access | Times Cited: 1
Predicting Barrier Island Shrub Presence Using Remote Sensing Products and Machine Learning Techniques
B. J. Franklin, Laura J. Moore, Julie C. Zinnert
Journal of Geophysical Research Earth Surface (2024) Vol. 129, Iss. 5
Open Access
Machine Learning Algorithms of Riverbed Change and Environments of the Lower Apalachicola River
Ali Alruzuq, Joann Mossa
(2024)
Closed Access
Deep Learning and Histogram-Based Grain Size Analysis of Images
Wei Wei, Xiaohong Xu, Guangming Hu, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 4923-4923
Open Access
Mind the information gap: How sampling and clustering impact the predictability of reach‐scale channel types in California (USA)
Hervé Guillon, Belize Lane, C. F. Byrne, et al.
Earth Surface Processes and Landforms (2024) Vol. 49, Iss. 14, pp. 4610-4631
Closed Access
Remote Sensing Data Reveal a Significant Reduction in the Area of the Nesting Habitat of Rafetus euphraticus in the Tigris River, Southeastern Turkey
Murat Biricik, Kamran Safi, Şemsettin Turğa
Ecology and Evolution (2024) Vol. 14, Iss. 12
Open Access
A hullámtéri növényzet vizsgálata légi LiDAR adatok alapján
István Fehérváry
(2023)
Open Access
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