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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:

Segment anything, from space?
Simiao Ren, Francesco Luzi, Saad Lahrichi, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 8340-8350
Closed Access | Times Cited: 25

Showing 25 citing articles:

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: 20
An empirical study on the robustness of the segment anything model (SAM)
Yuqing Wang, Yun Zhao, Linda Petzold
Pattern Recognition (2024) Vol. 155, pp. 110685-110685
Open Access | Times Cited: 10
DeiT and Image Deep Learning-Driven Correction of Particle Size Effect: A Novel Approach to Improving NIRS-XRF Coal Quality Analysis Accuracy
Jiaxin Yin, Ruonan Liu, Wangbao Yin, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 928-928
Open Access | Times Cited: 1
RSAM-Seg: A SAM-Based Model with Prior Knowledge Integration for Remote Sensing Image Semantic Segmentation
Jie Zhang, Yunxin Li, Xubing Yang, et al.
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 590-590
Open Access | Times Cited: 1
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: 8
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
Yifan Gao, Wei Xia, Dingdu Hu, et al.
Lecture notes in computer science (2024), pp. 509-519
Closed Access | Times Cited: 8
Enhancing USDA NASS Cropland Data Layer with Segment Anything Model
Chen Zhang, Purva Marfatia, Hamza Farhan, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 15
Open-NeRF: Towards Open Vocabulary NeRF Decomposition
Hao Zhang, Fang Li, Narendra Ahuja
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 3444-3453
Open Access | Times Cited: 4
SAM Enhanced Semantic Segmentation for Remote Sensing Imagery without Additional Training
Qiao Yang, Bo Zhong, Bailin Du, et al.
IEEE Transactions on Geoscience and Remote Sensing (2025) Vol. 63, pp. 1-16
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
Segment Anything Model-Based Hyperspectral Image Classification for Small Samples
Kaifeng Ma, C. S. Yao, Bing Liu, et al.
Remote Sensing (2025) Vol. 17, Iss. 8, pp. 1349-1349
Open Access
Quantifying land surface changes to climatic and anthropogenic forcings by analyses of a time-series of remotely sensed images from 1936 to 2021 for a former dust bowl drought area in western Kansas, USA
Sowmya Revanna, Steven L. Forman, Liliana Marìn, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101574-101574
Open Access
Adapting Segment Anything Model to Aerial Land Cover Classification with Low Rank Adaptation
Bowei Xue, Han Cheng, Qingqing Yang, et al.
IEEE Geoscience and Remote Sensing Letters (2024) Vol. 21, pp. 1-5
Closed Access | Times Cited: 3
Model-agnostic personalized adaptation for segment anything model
Juncheng Wang, Lei Shang, Lu Wang, et al.
Neurocomputing (2025), pp. 130424-130424
Closed Access
Robust Fish Recognition Using Foundation Models toward Automatic Fish Resource Management
Tatsuhito Hasegawa, Daichi Nakano
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 3, pp. 488-488
Open Access | Times Cited: 1
SAMPolyBuild: Adapting the Segment Anything Model for polygonal building extraction
Chenhao Wang, Jingbo Chen, Yu Meng, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 218, pp. 707-720
Closed Access | Times Cited: 1
Assessing Advanced Computer Vision Techniques in Aerial Imagery: A Case Study on Transmission Tower Identification
Daniela L. Freire, André C. P. L. F. de Carvalho, Augusto José Peterlevitz, et al.
Lecture notes in computer science (2024), pp. 184-196
Closed Access | Times Cited: 1
Moving Object Segmentation: All You Need is SAM (and Flow)
Junyu Xie, Charig Yang, Weidi Xie, et al.
Lecture notes in computer science (2024), pp. 291-308
Closed Access | Times Cited: 1
Application and Evaluation of the AI-Powered Segment Anything Model (SAM) in Seafloor Mapping: A Case Study from Puck Lagoon, Poland
Łukasz Janowski, Radosław Wróblewski
Remote Sensing (2024) Vol. 16, Iss. 14, pp. 2638-2638
Open Access | Times Cited: 1
Optimal Hyperparameter Analysis of Segment Anything Model for Building Extraction Using KOMPSAT-3/3A Images
Donghyeon Lee, Jiyong Kim, Yongil Kim
Korean Journal of Remote Sensing (2024) Vol. 40, Iss. 5-1, pp. 551-568
Open Access | Times Cited: 1
Leveraging Segment-Anything model for automated zero-shot road width extraction from aerial imagery
Nan Xu, Kerry A. Nice, Sachith Seneviratne, et al.
(2023), pp. 176-183
Closed Access | Times Cited: 1
Using image segmentation models to analyse high-resolution earth observation data: new tools to monitor disease risks in changing environments
Fedra Trujillano, Gabriel Jiménez, Luis Edgar Tarazona-Manrique, et al.
International Journal of Health Geographics (2024) Vol. 23, Iss. 1
Open Access
Unsupervised Structural Damage Assessment from Space Using the Segment Anything Model (USDA-SAM): A Case Study of the 2023 Turkiye Earthquake
Sudharshan Balaji, Oktay Karakuş
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 585-589
Closed Access
FMARS: Annotating Remote Sensing Images for Disaster Management Using Foundation Models
Edoardo Arnaudo, Jacopo Lungo Vaschetti, Lorenzo Innocenti, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 3920-3924
Closed Access
OSAM-Fundus: A training-free, one-shot segmentation framework for optic disc and cup in fundus images
Rui Wang, Zhouwang Yang, Yanzhi Song
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107069-107069
Closed Access
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