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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:

The Efficacy and Analytical Importance of Manual Feature Extraction Using Lidar Datasets
Seth Quintus, Stephanie S. Day, Nathan J. Smith
Advances in Archaeological Practice (2017) Vol. 5, Iss. 4, pp. 351-364
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Integrating Remote Sensing, Machine Learning, and Citizen Science in Dutch Archaeological Prospection
Karsten Lambers, Wouter Verschoof‐van der Vaart, Quentin Bourgeois
Remote Sensing (2019) Vol. 11, Iss. 7, pp. 794-794
Open Access | Times Cited: 118
LiDAR Applications in Archaeology: A Systematic Review
Giacomo Vinci, Federica Vanzani, Alessandro Fontana, et al.
Archaeological Prospection (2024)
Open Access | Times Cited: 13
Object‐based image analysis: a review of developments and future directions of automated feature detection in landscape archaeology
Dylan S. Davis
Archaeological Prospection (2018) Vol. 26, Iss. 2, pp. 155-163
Open Access | Times Cited: 80
An observational and theoretical framework for interpreting the landscape palimpsest through airborne LiDAR
Katharine M. Johnson, William B. Ouimet
Applied Geography (2018) Vol. 91, pp. 32-44
Open Access | Times Cited: 68
Detecting Classic Maya Settlements with Lidar-Derived Relief Visualizations
Amy E. Thompson
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2838-2838
Open Access | Times Cited: 34
Semantic Segmentation of Airborne LiDAR Data in Maya Archaeology
Marek Bundzel, Miroslav Jaščur, Milan Kováč, et al.
Remote Sensing (2020) Vol. 12, Iss. 22, pp. 3685-3685
Open Access | Times Cited: 34
Theory and practice for an object-based approach in archaeological remote sensing
Luigi Magnini, Cinzia Bettineschi
Journal of Archaeological Science (2019) Vol. 107, pp. 10-22
Open Access | Times Cited: 34
Defining what we study: The contribution of machine automation in archaeological research
Dylan S. Davis
Digital Applications in Archaeology and Cultural Heritage (2020) Vol. 18, pp. e00152-e00152
Open Access | Times Cited: 31
The Site Problem: A Critical Review of the Site Concept in Archaeology in the Digital Age
Mark D. McCoy
Journal of Field Archaeology (2020) Vol. 45, Iss. sup1, pp. S18-S26
Open Access | Times Cited: 29
Applying automated object detection in archaeological practice: A case study from the southern Netherlands
Wouter Verschoof‐van der Vaart, Karsten Lambers
Archaeological Prospection (2021) Vol. 29, Iss. 1, pp. 15-31
Closed Access | Times Cited: 26
Condition Surveys as the Basis for Scientific Research and with the Aim of Conserving Torso Buildings
Oto Makýš, Patrik Šťastný, Peter Makýš, et al.
Heritage (2025) Vol. 8, Iss. 2, pp. 50-50
Open Access
Making sense of fossils and artefacts: a review of best practices for the design of a successful workflow for machine learning-assisted citizen science projects
Isaak Eijkelboom, Anne S. Schulp, Luc Amkreutz, et al.
PeerJ (2025) Vol. 13, pp. e18927-e18927
Open Access
Beyond the Greater Angkor Region: Automatic large-scale mapping of Angkorian-period reservoirs in satellite imagery using deep learning
Jürgen Landauer, Sarah Klassen, Adam P. Wijker, et al.
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0320452-e0320452
Open Access
AI Systems Employed in Archaeological Research for Ancient Artefacts – A Dilemma
Annita Antoniadou
CABI eBooks (2025), pp. 199-209
Closed Access
Mapping the Adena-Hopewell Landscape in the Middle Ohio Valley, USA: Multi-Scalar Approaches to LiDAR-Derived Imagery from Central Kentucky
Edward R. Henry, Carl R. Shields, Tristram R. Kidder
Journal of Archaeological Method and Theory (2019) Vol. 26, Iss. 4, pp. 1513-1555
Closed Access | Times Cited: 29
Unstructured satellite survey detects up to 20% of archaeological sites in coastal valleys of southern Peru
Thomas J. Snyder, Randall Haas
PLoS ONE (2024) Vol. 19, Iss. 2, pp. e0292272-e0292272
Open Access | Times Cited: 3
The Race to Document Archaeological Sites Ahead of Rising Sea Levels: Recent Applications of Geospatial Technologies in the Archaeology of Polynesia
Mark D. McCoy
Sustainability (2018) Vol. 10, Iss. 1, pp. 185-185
Open Access | Times Cited: 24
Geographic Disparity in Machine Intelligence Approaches for Archaeological Remote Sensing Research
Dylan S. Davis
Remote Sensing (2020) Vol. 12, Iss. 6, pp. 921-921
Open Access | Times Cited: 20
The use of LiDAR in reconstructing the pre‐World War II landscapes of abandoned mountain villages in southern Poland
Andrzej Affek, Jacek Wolski, Agnieszka Latocha, et al.
Archaeological Prospection (2021) Vol. 29, Iss. 1, pp. 157-173
Open Access | Times Cited: 18
The Integration of Lidar and Legacy Datasets Provides Improved Explanations for the Spatial Patterning of Shell Rings in the American Southeast
Dylan S. Davis, Robert J. DiNapoli, Matthew C. Sanger, et al.
Advances in Archaeological Practice (2020) Vol. 8, Iss. 4, pp. 361-375
Open Access | Times Cited: 17
Validating predictions of burial mounds with field data: the promise and reality of machine learning
Adéla Sobotková, Ross Deans Kristensen‐McLachlan, Orla Mallon, et al.
Journal of Documentation (2024) Vol. 80, Iss. 5, pp. 1167-1189
Open Access | Times Cited: 2
Testing Web Mapping and Active Learning to Approach Lidar Data
Marion Forest, Laurent Costa, Andy Combey, et al.
Advances in Archaeological Practice (2019) Vol. 8, Iss. 1, pp. 25-39
Closed Access | Times Cited: 17
Automated methods for image detection of cultural heritage: Overviews and perspectives
Ariele Câmara, Ana de Almeida, David Caçador, et al.
Archaeological Prospection (2022) Vol. 30, Iss. 2, pp. 153-169
Open Access | Times Cited: 10
Automated large‐scale mapping and analysis of relict charcoal hearths in Connecticut (USA) using a Deep Learning YOLOv4 framework
Wouter Verschoof‐van der Vaart, Alexander Bonhage, Anna Schneider, et al.
Archaeological Prospection (2022) Vol. 30, Iss. 3, pp. 251-266
Open Access | Times Cited: 10
Evolution of ancient farming systems and demography in the volcanic highlands of Zacapu: A model drawn from Geoarchaeology and archaeogeography
Antoine Dorison, Christina Siebe
Ancient Mesoamerica (2023) Vol. 34, Iss. 3, pp. 771-796
Open Access | Times Cited: 5
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