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:

SegGPT: Towards Segmenting Everything In Context
Xinlong Wang, Xiaosong Zhang, Yue Cao, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 1130-1140
Closed Access | Times Cited: 98

Showing 1-25 of 98 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: 100

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: 43

Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review
Guangliang Cheng, Yunmeng Huang, Xiangtai Li, et al.
Remote Sensing (2024) Vol. 16, Iss. 13, pp. 2355-2355
Open Access | Times Cited: 38

RingMo-SAM: A Foundation Model for Segment Anything in Multimodal Remote-Sensing Images
Zhiyuan Yan, Junxi Li, Xuexue Li, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-16
Closed Access | Times Cited: 33

Segment Anything Model (SAM) for Medical Image Segmentation: A Preliminary Review
Leying Zhang, Xiaokang Deng, Lu Yu
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023)
Closed Access | Times Cited: 28

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: 13

An innovative segment anything model for precision poultry monitoring
Xiao Yang, Haixing Dai, Zihao Wu, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109045-109045
Closed Access | Times Cited: 13

Open-Vocabulary SAM: Segment and Recognize Twenty-Thousand Classes Interactively
Haobo Yuan, Xiangtai Li, Chong Zhou, et al.
Lecture notes in computer science (2024), pp. 419-437
Closed Access | Times Cited: 11

ViT-CAPS: Vision Transformer with Contrastive Adaptive Prompt Segmentation
Khawaja Iftekhar Rashid, Chenhui Yang
Neurocomputing (2025), pp. 129578-129578
Closed Access | Times Cited: 1

The Segment Anything Model (SAM) for accelerating the smart farming revolution
Alberto Carraro, Marco Sozzi, Francesco Marinello
Smart Agricultural Technology (2023) Vol. 6, pp. 100367-100367
Open Access | Times Cited: 20

Deep-Learning-Based Semantic Segmentation of Remote Sensing Images: A Survey
Liwei Huang, Bitao Jiang, Shouye Lv, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 8370-8396
Open Access | Times Cited: 19

Going Denser with Open-Vocabulary Part Segmentation
Peize Sun, Shoufa Chen, Chenchen Zhu, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 15407-15419
Open Access | Times Cited: 19

Research status and application of artificial intelligence large models in the oil and gas industry
He Liu, Yili Ren, Xin Li, et al.
Petroleum Exploration and Development (2024) Vol. 51, Iss. 4, pp. 1049-1065
Open Access | Times Cited: 7

AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning
Duojun Huang, Xinyu Xiong, Jie Ma, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 27, pp. 3205-3215
Closed Access | Times Cited: 6

VRP-SAM: SAM with Visual Reference Prompt
Yanpeng Sun, Jiahui Chen, Shan Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 23565-23574
Closed Access | Times Cited: 6

Integrating SAM with Feature Interaction for Remote Sensing Change Detection
Da Zhang, Feiyu Wang, Liu Ning, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-11
Closed Access | Times Cited: 6

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

Toward the unification of generative and discriminative visual foundation model: a survey
Xu Liu, Tong Zhou, Chong Wang, et al.
The Visual Computer (2024)
Closed 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

Learning few-shot semantic segmentation with error-filtered segment anything model
Chen-Bin Feng, Qi Lai, Kangdao Liu, et al.
The Visual Computer (2025)
Closed Access

Ship Contour: A Novel Ship Instance Segmentation Method Using Deep Snake and Attention Mechanism
Chen Chen, Songtao Hu, Feng Ma, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 3, pp. 519-519
Open Access

Segment Anything Model-Based Method for Precise Froth Size Determination in Floation Process
Jinglong Wang, Runda Jia, Jun Zheng, et al.
Chemical Engineering Science (2025), pp. 121657-121657
Closed Access

A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application
Bo Yuan, Danpei Zhao
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 10891-10910
Open Access | Times Cited: 4

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