Open Access Helper

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:

FoodSAM: Any Food Segmentation
Xing Lan, Jiayi Lyu, Hanyu Jiang, et al.
IEEE Transactions on Multimedia (2023), pp. 1-14
Closed Access | Times Cited: 20

Showing 20 citing articles:

Food image segmentation based on deep and shallow dual-branch network
Zhiyong Xiao, Yang Li, Zhaohong Deng
Multimedia Systems (2025) Vol. 31, Iss. 1
Closed Access | Times Cited: 1
PTQ4SAM: Post-Training Quantization for Segment Anything
Chengtao Lv, Hong Chen, Jinyang Guo, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 15941-15951
Closed Access | Times Cited: 4
Pic2Plate: A Vision-Language and Retrieval-Augmented Framework for Personalized Recipe Recommendations
Yosua Setyawan Soekamto, Andreas Pangestu Lim, Leonard Christopher Limanjaya, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 449-449
Open Access
TsDa-ASAM: Balancing efficiency and accuracy in coke image particle size segmentation via two-stage distillation-aware adaptive segment anything model
Yalin Wang, Yubin Peng, Xiao Tan, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Multimodal Food Learning
Weiqing Min, X. H. Hong, Yuxin Liu, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2025)
Closed Access
FoodMem: Near real-time and precise food video segmentation
Ahmad AlMughrabi, Adrián Galán, Ricardo Marques, et al.
Pattern Recognition Letters (2025)
Closed Access
Lightweight DeepLabv3+ for Semantic Food Segmentation
Bastián Muñoz, Angela Martínez-Arroyo, Constanza Acevedo, et al.
Foods (2025) Vol. 14, Iss. 8, pp. 1306-1306
Open Access
CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model
Aoran Xiao, Weihao Xuan, Heli Qi, et al.
Lecture notes in computer science (2024), pp. 189-206
Closed Access | Times Cited: 3
Image-based volume estimation for food in a bowl
Wenyan Jia, Boyang Li, Qi Xu, et al.
Journal of Food Engineering (2024), pp. 111943-111943
Closed Access | Times Cited: 1
Towards a Lightweight CNN for Semantic Food Segmentation
Bastián Muñoz, Beatriz Remeseiro, Eduardo Aguilar
Lecture notes in computer science (2024), pp. 1-15
Closed Access | Times Cited: 1
Recognizing Multiple Ingredients in Food Images Using a Single-Ingredient Classification Model
Kun Fu, Ying Dai
International Journal of Intelligent Information Technologies (2024) Vol. 20, Iss. 1, pp. 1-21
Open Access | Times Cited: 1
Reducing Training Data Using Pre-Trained Foundation Models: A Case Study on Traffic Sign Segmentation Using the Segment Anything Model
Sofia Henninger, Maximilian Kellner, Benedikt Rombach, et al.
Journal of Imaging (2024) Vol. 10, Iss. 9, pp. 220-220
Open Access
Recognizing Multiple Ingredients in Food Images Using a Single-Ingredient Classification Model
Kun Fu, Ying Dai
(2024)
Open Access
Navigating Weight Prediction with Diet Diary
Yuesheng Gui, Bin Zhu, Jingjing Chen, et al.
(2024), pp. 127-136
Open Access
OVFoodSeg: Elevating Open-Vocabulary Food Image Segmentation via Image-Informed Textual Representation
Xiongwei Wu, Sicheng Yu, Ee‐Peng Lim, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 4144-4153
Closed Access
Segment Anything in Food Images
Saeed Alahmari, Michael R. Gardner, Tawfiq Salem
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2024), pp. 3715-3720
Closed Access
A SAM Based Tool for Semi-Automatic Food Annotation
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, et al.
Frontiers in artificial intelligence and applications (2024)
Open Access
IngredSAM: Open-World Food Ingredient Segmentation via a Single Image Prompt
Leyi Chen, Bowen Wang, Jiaxin Zhang
Journal of Imaging (2024) Vol. 10, Iss. 12, pp. 305-305
Open Access
Automated Food Weight and Content Estimation Using Computer Vision and AI Algorithms
Bryan González, Gonzalo Garcia, Sergio A. Velastín, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7660-7660
Open Access
SAMNet: Adapting segment anything model for accurate light field salient object detection
Xingzheng Wang, Jianbin Wu, Shaoyong Wu, et al.
Image and Vision Computing (2024), pp. 105403-105403
Closed Access
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