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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:

Individual tree crown delineation in high-resolution remote sensing images based on U-Net
Maximilian Freudenberg, Paul Magdon, Nils Nölke
Neural Computing and Applications (2022) Vol. 34, Iss. 24, pp. 22197-22207
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

National tree species mapping using Sentinel-1/2 time series and German National Forest Inventory data
Lukas Blickensdörfer, Katja Oehmichen, Dirk Pflugmacher, et al.
Remote Sensing of Environment (2024) Vol. 304, pp. 114069-114069
Open Access | Times Cited: 33
Deep learning enables image-based tree counting, crown segmentation, and height prediction at national scale
Sizhuo Li, Martin Brandt, Rasmus Fensholt, et al.
PNAS Nexus (2023) Vol. 2, Iss. 4
Open Access | Times Cited: 39
Tree Crown Detection and Delineation in a Temperate Deciduous Forest from UAV RGB Imagery Using Deep Learning Approaches: Effects of Spatial Resolution and Species Characteristics
Yi Gan, Quan Wang, Atsuhiro Iio
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 778-778
Open Access | Times Cited: 35
Instance segmentation of individual tree crowns with YOLOv5: A comparison of approaches using the ForInstance benchmark LiDAR dataset
Adrian Straker, Stefano Puliti, Johannes Breidenbach, et al.
ISPRS Open Journal of Photogrammetry and Remote Sensing (2023) Vol. 9, pp. 100045-100045
Open Access | Times Cited: 21
Individual tree detection in large-scale urban environments using high-resolution multispectral imagery
Jonathan Ventura, Camille Pawlak, Milo Honsberger, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 130, pp. 103848-103848
Open Access | Times Cited: 6
Challenges for computer vision as a tool for screening urban trees through street-view images
Tito Arevalo-Ramirez, Analí Alfaro, José Figueroa, et al.
Urban forestry & urban greening (2024) Vol. 95, pp. 128316-128316
Open Access | Times Cited: 5
High resolution remote sensing recognition of elm sparse forest via deep-learning-based semantic segmentation
Hao Liu, Bin Sun, Zhihai Gao, et al.
Ecological Indicators (2024) Vol. 166, pp. 112428-112428
Open Access | Times Cited: 5
Is Your Training Data Really Ground Truth? A Quality Assessment of Manual Annotation for Individual Tree Crown Delineation
Janik Steier, M. Goebel, D. Iwaszczuk
Remote Sensing (2024) Vol. 16, Iss. 15, pp. 2786-2786
Open Access | Times Cited: 5
TreeEyed: A QGIS plugin for tree monitoring in silvopastoral systems using state of the art AI models
Andres Felipe Ruiz-Hurtado, Juliana Perez Bolaños, Darwin Alexis Arrechea-Castillo, et al.
SoftwareX (2025) Vol. 29, pp. 102071-102071
Open Access
Fusing aerial photographs and airborne LiDAR data to improve the accuracy of detecting individual trees in urban and peri-urban areas
Yi Xu, Tiejun Wang, Andrew K. Skidmore
Urban forestry & urban greening (2025) Vol. 105, pp. 128696-128696
Open Access
Small sample learning based on probability-informed neural networks for SAR image segmentation
Anna Dostovalova, Andrey Gorshenin
Neural Computing and Applications (2025)
Closed Access
AI for Fire Prevention: Machine Learning Leaf Area Index (LAI) as a Precursor of Wildfire
Ciro Riso, Alessio Patriarca, Danilo Monarca, et al.
Lecture notes in civil engineering (2025), pp. 449-456
Closed Access
Cost-effective and accurate monitoring of flowering across multiple tropical tree species over two years with a time series of high-resolution drone imagery and deep learning
Calvin K. F. Lee, Guangqin Song, Helene C. Muller‐Landau, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 201, pp. 92-103
Open Access | Times Cited: 12
Individual tree crown delineation in high resolution aerial RGB imagery using StarDist-based model
Fei Tong, Yun Zhang
Remote Sensing of Environment (2025) Vol. 319, pp. 114618-114618
Open Access
Earth-Observation-Based Monitoring of Forests in Germany—Recent Progress and Research Frontiers: A Review
Stefanie Holzwarth, Frank Thonfeld, Patrick Kacic, et al.
Remote Sensing (2023) Vol. 15, Iss. 17, pp. 4234-4234
Open Access | Times Cited: 10
TreeDetector: Using Deep Learning for the Localization and Reconstruction of Urban Trees from High-Resolution Remote Sensing Images
Haoyu Gong, Qian Sun, Chenrong Fang, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 524-524
Open Access | Times Cited: 3
Improved feature extraction network in lightweight YOLOv7 model for real-time vehicle detection on low-cost hardware
Johan Lela Andika, Anis Salwa Mohd Khairuddin, Harikrishnan Ramiah, et al.
Journal of Real-Time Image Processing (2024) Vol. 21, Iss. 3
Closed Access | Times Cited: 2
Spectral–Spatial transformer-based semantic segmentation for large-scale mapping of individual date palm trees using very high-resolution satellite data
Rami Al‐Ruzouq, Mohamed Barakat A. Gibril, Abdallah Shanableh, et al.
Ecological Indicators (2024) Vol. 163, pp. 112110-112110
Open Access | Times Cited: 2
Semi-supervised multi-class tree crown delineation using aerial multispectral imagery and lidar data
S. Dersch, Alfred Schöttl, Peter Krzystek, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 216, pp. 154-167
Open Access | Times Cited: 2
High-resolution sensors and deep learning models for tree resource monitoring
Martin Brandt, Jérôme Chave, Sizhuo Li, et al.
Nature Reviews Electrical Engineering (2024) Vol. 2, Iss. 1, pp. 13-26
Closed Access | Times Cited: 2
Tree Stem Detection and Crown Delineation in a Structurally Diverse Deciduous Forest Combining Leaf-On and Leaf-Off UAV-SfM Data
Steffen Dietenberger, Marlin M. Mueller, Felix Bachmann, et al.
Remote Sensing (2023) Vol. 15, Iss. 18, pp. 4366-4366
Open Access | Times Cited: 6
An Open Benchmark Dataset for Forest Characterization from Sentinel-1 and -2 Time Series
Sarah Hauser, Michael Ruhhammer, Andreas Schmitt, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 488-488
Open Access | Times Cited: 1
Characterizing heterogeneous forest structure in ponderosa pine forests via UAS-derived structure from motion
L. W. Hanna, Wade T. Tinkham, Mike A. Battaglia, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 6
Open Access | Times Cited: 1
Integrating Crowd-sourced Annotations of Tree Crowns using Markov Random Field and Multispectral Information
Qipeng Mei, Janik Steier, D. Iwaszczuk
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2024) Vol. XLVIII-2-2024, pp. 257-263
Open Access | Times Cited: 1
Comparative Analysis of Machine Learning Techniques and Data Sources for Dead Tree Detection: What Is the Best Way to Go?
Júlia Matejčíková, Dana Vébrová, Peter Surový
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 3086-3086
Open Access | Times Cited: 1
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