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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 Segment Anything Model (SAM) for remote sensing applications: From zero to one shot
Lucas Prado Osco, Qiusheng Wu, Eduardo Lopes de Lemos, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 124, pp. 103540-103540
Open Access | Times Cited: 111

Showing 1-25 of 111 citing articles:

RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation Based on Visual Foundation Model
Keyan Chen, Chenyang Liu, Hao Chen, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-17
Open Access | Times Cited: 96
Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications
Wei Ji, Jingjing Li, Qi Bi, et al.
Deleted Journal (2024) Vol. 21, Iss. 4, pp. 617-630
Open Access | Times Cited: 91
Adapting Segment Anything Model for Change Detection in VHR Remote Sensing Images
Lei Ding, Kun Zhu, Daifeng Peng, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-11
Closed Access | Times Cited: 40
SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary Constraints
Xianping Ma, Qianqian Wu, Xingyu Zhao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-16
Open Access | Times Cited: 16
Mapping Vegetation Changes in Mongolian Grasslands (1990–2024) Using Landsat Data and Advanced Machine Learning Algorithm
Mandakh Nyamtseren, Tien Dat Pham, Thuy Thi Phuong Vu, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 400-400
Open Access | Times Cited: 1
Advances and Challenges in Deep Learning-Based Change Detection for Remote Sensing Images: A Review through Various Learning Paradigms
Lukang Wang, Min Zhang, Xu Gao, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 804-804
Open Access | Times Cited: 12
Estimating aboveground biomass of tropical urban forests with UAV-borne hyperspectral and LiDAR data
Matheus Pinheiro Ferreira, Gabriela Barbosa Martins, Thaís Moreira Hidalgo de Almeida, et al.
Urban forestry & urban greening (2024) Vol. 96, pp. 128362-128362
Closed Access | Times Cited: 11
A trained Mask R-CNN model over PlanetScope imagery for very-high resolution surface water mapping in boreal forest-tundra
Pedro Freitas, Gonçalo Vieira, João Canário, et al.
Remote Sensing of Environment (2024) Vol. 304, pp. 114047-114047
Open Access | Times Cited: 9
Fractal-Based Pattern Quantification of Mineral Grains: A Case Study of Yichun Rare-Metal Granite
Yue Liu, Tao Sun, Kaixing Wu, et al.
Fractal and Fractional (2024) Vol. 8, Iss. 1, pp. 49-49
Open Access | Times Cited: 8
Enhancing Crop Mapping through Automated Sample Generation Based on Segment Anything Model with Medium-Resolution Satellite Imagery
Jialin Sun, Shuai Yan, Thomas Alexandridis, et al.
Remote Sensing (2024) Vol. 16, Iss. 9, pp. 1505-1505
Open Access | Times Cited: 7
FusionVision: A Comprehensive Approach of 3D Object Reconstruction and Segmentation from RGB-D Cameras Using YOLO and Fast Segment Anything
Safouane El Ghazouali, Youssef Mhirit, Ali Oukhrid, et al.
Sensors (2024) Vol. 24, Iss. 9, pp. 2889-2889
Open Access | Times Cited: 6
Learning without Exact Guidance: Updating Large-Scale High-Resolution Land Cover Maps from Low-Resolution Historical Labels
Zhuohong Li, Wei He, Jiepan Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 64, pp. 27717-27727
Closed Access | Times Cited: 6
OBSUM: An object-based spatial unmixing model for spatiotemporal fusion of remote sensing images
Houcai Guo, Dingqi Ye, Hanzeyu Xu, et al.
Remote Sensing of Environment (2024) Vol. 304, pp. 114046-114046
Open Access | Times Cited: 5
MeSAM: Multiscale Enhanced Segment Anything Model for Optical Remote Sensing Images
Xichuan Zhou, Fu Liang, Lihui Chen, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-15
Closed Access | Times Cited: 5
A novel weakly-supervised method based on the segment anything model for seamless transition from classification to segmentation: A case study in segmenting latent photovoltaic locations
Ruiqing Yang, Guojin He, Ranyu Yin, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 130, pp. 103929-103929
Open Access | Times Cited: 5
Leveraging Segment Anything Model (SAM) for Weld Defect Detection in Industrial Ultrasonic B-Scan Images
Amir-M. Naddaf-Sh, Vinay S. Baburao, Hassan Zargarzadeh
Sensors (2025) Vol. 25, Iss. 1, pp. 277-277
Open Access
SIDEST: A sample-free framework for crop field boundary delineation by integrating super-resolution image reconstruction and dual edge-corrected Segment Anything model
Haoran Sun, Zhijian Wei, Weiguo Yu, et al.
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109897-109897
Closed Access
Deep learning in multi-sensor agriculture and crop management
Darwin Alexis Arrechea-Castillo, Yady Tatiana Solano‐Correa
Elsevier eBooks (2025), pp. 335-379
Closed Access
Multi-sensor Earth observation: outlook
Sudipan Saha, Jakob Gawlikowski
Elsevier eBooks (2025), pp. 409-424
Closed Access
IDCC-SAM: A Zero-Shot Approach for Cell Counting in Immunocytochemistry Dataset Using the Segment Anything Model
Samuel Fanijo, Ali Jannesari, Julie Dickerson
Bioengineering (2025) Vol. 12, Iss. 2, pp. 184-184
Open Access
FieldSeg: A scalable agricultural field extraction framework based on the Segment Anything Model and 10-m Sentinel-2 imagery
Lucas Borges Ferreira, Vitor S. Martins, Uilson Ricardo Venâncio Aires, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110086-110086
Open Access
Identification of pegmatite dikes based on remote sensing spectral library and WorldView-3 Data: A Case study in the central Altyn region of Xinjiang
Chusi Li, Huadóng Ma, Chuan Chen, et al.
Ore Geology Reviews (2025), pp. 106496-106496
Open Access
Multi-Type Change Detection and Distinction of Cultivated Land Parcels in High-Resolution Remote Sensing Images Based on Segment Anything Model
Zhongxin Huang, Xiaomei Yang, Yueming Liu, et al.
Remote Sensing (2025) Vol. 17, Iss. 5, pp. 787-787
Open Access
Transport-related surface detection with machine learning: Analyzing temporal trends in Madrid and Vienna
Miguel Ureña-Pliego, Rubén Martínez Marín, Nianfang Shi, et al.
Remote Sensing Applications Society and Environment (2025) Vol. 37, pp. 101503-101503
Closed Access
High-quality one-shot interactive segmentation for remote sensing images via hybrid adapter-enhanced foundation models
Zhili Zhang, Xiangyun Hu, Yue Yang, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 139, pp. 104466-104466
Closed Access
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