OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A flexible deep learning crater detection scheme using Segment Anything Model (SAM)
Iraklis Giannakis, Anshuman Bhardwaj, Lydia Sam, et al.
Icarus (2023) Vol. 408, pp. 115797-115797
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Leaf Only SAM: A Segment Anything Pipeline for Zero-Shot Automated Leaf Segmentation
Dominic Williams, Fraser Macfarlane, Avril Britten
Smart Agricultural Technology (2024) Vol. 8, pp. 100515-100515
Open Access | Times Cited: 17

Do we need to label large datasets for river water segmentation? Benchmark and stage estimation with minimum to non-labeled image time series
Pedro Zamboni, Xabier Blanch, José Marcato, et al.
International Journal of Remote Sensing (2025), pp. 1-29
Open Access | Times Cited: 1

A Domain-Adaptive Segmentation Method Based on Segment Anything Model for Mechanical Assembly
Jinlei Wang, Chengjun Chen, Chenggang Dai, et al.
Measurement (2024) Vol. 235, pp. 114901-114901
Closed Access | Times Cited: 4

Unsupervised seepage segmentation pipeline based on point cloud projection with large vision model
Zhaoxiang Zhang, Ankang Ji, Zicong Xia, et al.
Tunnelling and Underground Space Technology (2025) Vol. 158, pp. 106410-106410
Closed Access

Optical Image Generation Through Digital Terrain Models for Autonomous Lunar Navigation
Michele Ceresoli, Stefano Silvestrini, Michèle Lavagna
Aerospace (2025) Vol. 12, Iss. 2, pp. 92-92
Open Access

Robust automatic crater detection at all latitudes on Mars with deep-learning
L. Martínez, F. Andrieu, Frédéric Schmidt, et al.
Planetary and Space Science (2025), pp. 106053-106053
Closed Access

Automatic morphologic classification of Martian craters using imbalanced datasets of Tianwen-1’s MoRIC images with deep neural networks
Qinghua Zheng, Rong Huang, Yusheng Xu, et al.
Planetary and Space Science (2025), pp. 106104-106104
Closed 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

Impact crater recognition methods: A review
Dong Chen, Fan Hu, Liqiang Zhang, et al.
Science China Earth Sciences (2024) Vol. 67, Iss. 6, pp. 1719-1742
Closed Access | Times Cited: 2

Automatic segmentation of radar data from the Chang’E-4 mission using unsupervised machine learning: A data-driven interpretation approach
Iraklis Giannakis, Ciaran McDonald, Jianqing Feng, et al.
Icarus (2024) Vol. 417, pp. 116108-116108
Open Access | Times Cited: 2

Segment-anything embedding for pixel-level road damage extraction using high-resolution satellite images
Shuangcheng Zhang, Xiaoning He, Bowei Xue, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 131, pp. 103985-103985
Open Access | Times Cited: 2

Detection of Benggang in Remote Sensing Imagery through Integration of Segmentation Anything Model with Object-Based Classification
Yixin Hu, Zhixin Qi, Zhexun Zhou, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 428-428
Open Access | Times Cited: 1

Automatic Characterization of WEDM Single Craters Through AI Based Object Detection
Eduardo Gonzalez-Sanchez, Davide Saccardo, Paulo Matheus Borges Esteves, et al.
International Journal of Automation Technology (2024) Vol. 18, Iss. 2, pp. 265-275
Open Access | Times Cited: 1

A review on deep learning-based automated lunar crater detection
Chinmayee Chaini, Vijay Kumar Jha
Earth Science Informatics (2024) Vol. 17, Iss. 5, pp. 3863-3898
Closed Access | Times Cited: 1

FishFocusNet: An improved method based on YOLOv8 for underwater tropical fish identification
Zhaoxuan Lu, Xiaolong Zhu, Haitao Guo, et al.
IET Image Processing (2024) Vol. 18, Iss. 12, pp. 3634-3649
Open Access | Times Cited: 1

Crater Detection and Population Statistics in Tianwen-1 Landing Area Based on Segment Anything Model (SAM)
Yaqi Zhao, Hongxia Ye
Remote Sensing (2024) Vol. 16, Iss. 10, pp. 1743-1743
Open 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

Segment Anything Model (SAM) for Automatic Crater Detection
Iraklis Giannakis, Anshuman Bhardwaj, Lydia Sam, et al.
(2024)
Closed Access

Optimizing 3D reconstruction: Application of a vision foundation model for dimensional measurement
Yan Zeng, Zhengqi Hua, Zejun Xiang, et al.
Journal of Constructional Steel Research (2024) Vol. 224, pp. 109087-109087
Closed Access

Potential and prospects of segment anything model: a survey
Miao Wang, Zhizhong Huang, Huiguang He, et al.
Journal of Image and Graphics (2024) Vol. 29, Iss. 6, pp. 1479-1509
Closed Access

PEMANFAATAN SAM DAN YOLOV8 UNTUK DETEKSI DAN SEGMENTATION MRI TUMOR OTAK
Ardiansyah Ardiansyah, Krisna Nuresa Qodri, Dion Al Banna, et al.
TEKNIMEDIA Teknologi Informasi dan Multimedia (2024) Vol. 5, Iss. 1, pp. 82-89
Open Access

Page 1 - Next Page

Scroll to top