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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:

Comparing geomorphological maps made manually and by deep learning
W. Marijn van der Meij, Erik Meijles, Diego Marcos, et al.
Earth Surface Processes and Landforms (2021) Vol. 47, Iss. 4, pp. 1089-1107
Open Access | Times Cited: 24

Showing 24 citing articles:

Geomorphometry and terrain analysis: data, methods, platforms and applications
Liyang Xiong, Sijin Li, Guoan Tang, et al.
Earth-Science Reviews (2022) Vol. 233, pp. 104191-104191
Open Access | Times Cited: 95
Digital terrain analysis: Past and present
Igor V. Florinsky
Elsevier eBooks (2025), pp. 1-14
Closed Access
References

Elsevier eBooks (2025), pp. 383-450
Closed Access
Physical geomorphometry for elementary land surface segmentation and digital geomorphological mapping
Jozef Minár, Lucian Drăguţ, Ian S. Evans, et al.
Earth-Science Reviews (2023) Vol. 248, pp. 104631-104631
Open Access | Times Cited: 12
Mapping Bedrock Outcrops in the Sierra Nevada Mountains (California, USA) Using Machine Learning
Apoorva Shastry, C. Cerovski-Darriau, Brian Coltin, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 457-457
Open Access
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
Multi-source deep-learning approach for automatic geomorphological mapping: the case of glacial moraines
Isabelle Rocamora, Dino Ienco, Matthieu Ferry
Geo-spatial Information Science (2024), pp. 1-20
Open Access | Times Cited: 3
Detection of karst depression in Brazil comparing different semantic and instance segmentations and global digital elevation models
Heitor da Rocha Nunes de Castro, Osmar Abílio de Carvalho Júnior, Osmar Luiz Ferreira de Carvalho, et al.
Geomorphology (2024) Vol. 456, pp. 109212-109212
Closed Access | Times Cited: 3
Towards accurate mapping of loess waterworn gully by integrating google earth imagery and DEM using deep learning
Rong Chen, Yi Zhou, Zetao Wang, et al.
International Soil and Water Conservation Research (2023) Vol. 12, Iss. 1, pp. 13-28
Open Access | Times Cited: 8
Intelligent classification and analysis of regional landforms based on automatic feature selection
Yuexue Xu, Hongchun Zhu, Zhiwei Lu, et al.
Earth Surface Processes and Landforms (2023) Vol. 49, Iss. 2, pp. 787-803
Closed Access | Times Cited: 7
Rapid estimation of minimum depth-to-bedrock from lidar leveraging deep-learning-derived surficial material maps
William E. Odom, Daniel H. Doctor
Applied Computing and Geosciences (2023) Vol. 18, pp. 100116-100116
Open Access | Times Cited: 6
Exploring the Influence of Input Feature Space on CNN‐Based Geomorphic Feature Extraction From Digital Terrain Data
Aaron E. Maxwell, William E. Odom, Charles M. Shobe, et al.
Earth and Space Science (2023) Vol. 10, Iss. 5
Open Access | Times Cited: 6
Explanation of the influence of geomorphometric variables on the landform classification based on selected areas in Poland
Krzysztof Dyba
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
A CNN-Based Framework for Automatic Extraction of High-Resolution River Bankfull Width
Wenqi Li, Chendi Zhang, David Puhl, et al.
Remote Sensing (2024) Vol. 16, Iss. 23, pp. 4614-4614
Open Access | Times Cited: 1
Multiscale Object-Based Classification and Feature Extraction along Arctic Coasts
Andrew Clark, Brian J. Moorman, Dustin Whalen, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 2982-2982
Open Access | Times Cited: 6
Enhancing Reproducibility and Replicability in Remote Sensing Deep Learning Research and Practice
Aaron E. Maxwell, Michelle S. Bester, Christopher A. Ramezan
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5760-5760
Open Access | Times Cited: 4
Automatic geomorphological mapping using ground truth data with coverage sampling and random forest algorithms
Paul Aimé Latsouck Faye, Elodie Brunel, Thomas Claverie, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 4, pp. 3715-3732
Closed Access
Raising the Agenda of ‘Paradigm Shift’ in Applied Geomorphology: Question(s) or Acceptability
Somenath Halder, Jayanta Das
Geography of the physical environment (2024), pp. 3-16
Closed Access
Physically-based digital geomorphological mapping: Case study of glacial and karst topography
Anton Popov, Jozef Minár, Lucian Drăguţ
Geomorphology (2024), pp. 109539-109539
Closed Access
Exploring Transfer Learning for Anthropogenic Geomorphic Feature Extraction from Land Surface Parameters Using UNet
Aaron E. Maxwell, Sarah Farhadpour, Muhammad Zeeshan Ali
Remote Sensing (2024) Vol. 16, Iss. 24, pp. 4670-4670
Open Access
Machine learning-based identification of geomorphological units in Quintero Bay (32°S) and its implications for the search for early drowned archaeological sites on the western coast of South America
Valentina Flores‐Aqueveque, Hugo Neira-Santander, Cristina Ortega, et al.
Quaternary International (2024), pp. 109585-109585
Closed Access
A Reproducible and Reusable Pipeline for Segmentation of Geoscientific Imagery
Daniel Buscombe, Evan B. Goldstein
EarthArXiv (California Digital Library) (2022)
Open Access | Times Cited: 2
Detection of Karst Depressions in Brazil Using Deep Semantic Segmentation
Heitor Da Rocha Nunes De Castro, Osmar Abílio de Carvalho Júnior, Osmar Luiz Ferreira de Carvalho, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2023), pp. 2862-2865
Closed Access
Geospatial Tool-Based Geomorphological Mapping of The Lower Kulsi Basin, India
Gitika Thakuriah
Indonesian Journal on Geoscience (2023) Vol. 10, Iss. 2, pp. 229-244
Open Access
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