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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:

Mapping Human Settlements with Higher Accuracy and Less Volunteer Efforts by Combining Crowdsourcing and Deep Learning
Benjamin Herfort, Hao Li, Sascha Fendrich, et al.
Remote Sensing (2019) Vol. 11, Iss. 15, pp. 1799-1799
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

The evolution of humanitarian mapping within the OpenStreetMap community
Benjamin Herfort, Sven Lautenbach, João Porto de Albuquerque, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 116
Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
Siqin Wang, Xiao Huang, Pengyuan Liu, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 128, pp. 103734-103734
Open Access | Times Cited: 30
Cross-view geolocalization and disaster mapping with street-view and VHR satellite imagery: A case study of Hurricane IAN
Hao Li, Fabian Deuser, Wenping Yin, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 220, pp. 841-854
Open Access | Times Cited: 1
Optical Remote Sensing Image Understanding With Weak Supervision: Concepts, methods, and perspectives
Jun Yue, Leyuan Fang, Pedram Ghamisi, et al.
IEEE Geoscience and Remote Sensing Magazine (2022) Vol. 10, Iss. 2, pp. 250-269
Open Access | Times Cited: 47
Artificial Intelligence for Trusted Autonomous Satellite Operations
Kathiravan Thangavel, Roberto Sabatini, Alessandro Gardi, et al.
Progress in Aerospace Sciences (2023) Vol. 144, pp. 100960-100960
Open Access | Times Cited: 24
Combining Deep Learning and Location-Based Ranking for Large-Scale Archaeological Prospection of LiDAR Data from The Netherlands
Wouter Verschoof‐van der Vaart, Karsten Lambers, Wojtek Kowalczyk, et al.
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 5, pp. 293-293
Open Access | Times Cited: 55
A human–AI collaboration workflow for archaeological sites detection
Luca Casini, Nicolo' Marchetti, Andrea Montanucci, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 16
Towards Circumpolar Mapping of Arctic Settlements and Infrastructure Based on Sentinel-1 and Sentinel-2
Annett Bartsch, Georg Pointner, Thomas Ingeman‐Nielsen, et al.
Remote Sensing (2020) Vol. 12, Iss. 15, pp. 2368-2368
Open Access | Times Cited: 43
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning
Hao Li, Johannes Zech, Christina Ludwig, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 104, pp. 102571-102571
Open Access | Times Cited: 34
A scale-sensitive framework for the spatially explicit accuracy assessment of binary built-up surface layers
Johannes Uhl, Stefan Leyk
Remote Sensing of Environment (2022) Vol. 279, pp. 113117-113117
Open Access | Times Cited: 24
Improving OpenStreetMap missing building detection using few‐shot transfer learning in sub‐Saharan Africa
Hao Li, Benjamin Herfort, Sven Lautenbach, et al.
Transactions in GIS (2022) Vol. 26, Iss. 8, pp. 3125-3146
Open Access | Times Cited: 23
Assessing Completeness of OpenStreetMap Building Footprints Using MapSwipe
Tahira Ullah, Sven Lautenbach, Benjamin Herfort, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 4, pp. 143-143
Open Access | Times Cited: 13
Enhancing kelp forest detection in remote sensing images using crowdsourced labels with Mixed Vision Transformers and ConvNeXt segmentation models
Ioannis Nasios
International Journal of Remote Sensing (2025), pp. 1-19
Closed Access
AI adoption in crowdsourcing
John Michael Maxel Okoche, Marcia Mkansi, Godfrey Mugurusi, et al.
Procedia Computer Science (2025) Vol. 253, pp. 2508-2521
Open Access
AI-generated buildings in OpenStreetMap: frequency of use and differences from non-AI-generated buildings
Milan Fila, Radim Štampach, Benjamin Herfort
International Journal of Digital Earth (2025) Vol. 18, Iss. 1
Open Access
Exploration of OpenStreetMap missing built-up areas using twitter hierarchical clustering and deep learning in Mozambique
Hao Li, Benjamin Herfort, Wei Huang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 166, pp. 41-51
Closed Access | Times Cited: 34
Assessing OpenStreetMap Completeness for Management of Natural Disaster by Means of Remote Sensing: A Case Study of Three Small Island States (Haiti, Dominica and St. Lucia)
Ran Goldblatt, Nicholas K. W. Jones, Jenny Mannix
Remote Sensing (2020) Vol. 12, Iss. 1, pp. 118-118
Open Access | Times Cited: 33
Leveraging OpenStreetMap and Multimodal Remote Sensing Data with Joint Deep Learning for Wastewater Treatment Plants Detection
Hao Li, Johannes Zech, Danfeng Hong, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 110, pp. 102804-102804
Open Access | Times Cited: 21
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
Using CarcassonNet to automatically detect and trace hollow roads in LiDAR data from the Netherlands
Wouter Verschoof‐van der Vaart, Juergen Landauer
Journal of Cultural Heritage (2020) Vol. 47, pp. 143-154
Open Access | Times Cited: 25
Automatic Delineation of Urban Growth Boundaries Based on Topographic Data Using Germany as a Case Study
Oliver Harig, Robert Hecht, Dirk Burghardt, et al.
ISPRS International Journal of Geo-Information (2021) Vol. 10, Iss. 5, pp. 353-353
Open Access | Times Cited: 20
A deep learning classification approach using high spatial satellite images for detection of built-up areas in rural zones: Case study of Souss-Massa region - Morocco
Miriam Wahbi, Insaf El Bakali, Badia Ez-zahouani, et al.
Remote Sensing Applications Society and Environment (2022) Vol. 29, pp. 100898-100898
Closed Access | Times Cited: 15
Weakly Supervised Spatial Deep Learning for Earth Image Segmentation Based on Imperfect Polyline Labels
Zhe Jiang, Wenchong He, Marcus Stephen Kirby, et al.
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 13, Iss. 2, pp. 1-20
Closed Access | Times Cited: 14
An improved categorical cross entropy for remote sensing image classification based on noisy labels
Panle Li, Xiaohui He, Xijie Cheng, et al.
Expert Systems with Applications (2022) Vol. 205, pp. 117296-117296
Closed Access | Times Cited: 14
Use of Automated Change Detection and VGI Sources for Identifying and Validating Urban Land Use Change
Ana‐Maria Olteanu‐Raimond, Linda See, Michael Schultz, et al.
Remote Sensing (2020) Vol. 12, Iss. 7, pp. 1186-1186
Open Access | Times Cited: 21
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