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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:

Food Photo Recognition for Dietary Tracking: System and Experiment
Zhaoyan Ming, Jingjing Chen, Yu Cao, et al.
Lecture notes in computer science (2018), pp. 129-141
Closed Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

A Survey on Food Computing
Weiqing Min, Shuqiang Jiang, Linhu Liu, et al.
ACM Computing Surveys (2019) Vol. 52, Iss. 5, pp. 1-36
Closed Access | Times Cited: 247
Artificial intelligence applications in the agrifood sectors
Innocent Kutyauripo, Munyaradzi Charles Rushambwa, Lyndah Chiwazi
Journal of Agriculture and Food Research (2023) Vol. 11, pp. 100502-100502
Open Access | Times Cited: 76
Food Recommendation: Framework, Existing Solutions, and Challenges
Weiqing Min, Shuqiang Jiang, Ramesh Jain
IEEE Transactions on Multimedia (2019) Vol. 22, Iss. 10, pp. 2659-2671
Open Access | Times Cited: 119
Deep Understanding of Cooking Procedure for Cross-modal Recipe Retrieval
Jingjing Chen, Chong‐Wah Ngo, Fuli Feng, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2018), pp. 1020-1028
Open Access | Times Cited: 101
Ingredient-Guided Cascaded Multi-Attention Network for Food Recognition
Weiqing Min, Linhu Liu, Zhengdong Luo, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2019)
Closed Access | Times Cited: 98
The Deep Features and Attention Mechanism-Based Method to Dish Healthcare Under Social IoT Systems: An Empirical Study With a Hand-Deep Local–Global Net
Honghao Gao, Kaili Xu, Min Cao, et al.
IEEE Transactions on Computational Social Systems (2021) Vol. 9, Iss. 1, pp. 336-347
Closed Access | Times Cited: 87
A Study of Multi-Task and Region-Wise Deep Learning for Food Ingredient Recognition
Jingjing Chen, Bin Zhu, Chong‐Wah Ngo, et al.
IEEE Transactions on Image Processing (2020) Vol. 30, pp. 1514-1526
Open Access | Times Cited: 71
A Comprehensive Survey of Image-Based Food Recognition and Volume Estimation Methods for Dietary Assessment
Ghalib Ahmed Tahir, Chu Kiong Loo
Healthcare (2021) Vol. 9, Iss. 12, pp. 1676-1676
Open Access | Times Cited: 56
Smartphone apps for tracking food consumption and recommendations: Evaluating artificial intelligence-based functionalities, features and quality of current apps
Sabiha Samad, Fahmida Ahmed, Samsun Naher, et al.
Intelligent Systems with Applications (2022) Vol. 15, pp. 200103-200103
Open Access | Times Cited: 38
Convolution-Enhanced Bi-Branch Adaptive Transformer With Cross-Task Interaction for Food Category and Ingredient Recognition
Yuxin Liu, Weiqing Min, Shuqiang Jiang, et al.
IEEE Transactions on Image Processing (2024) Vol. 33, pp. 2572-2586
Closed Access | Times Cited: 11
FoodAI
Doyen Sahoo, Hao Wang, Shu Ke, et al.
(2019), pp. 2260-2268
Open Access | Times Cited: 69
Food Image Classification with Improved MobileNet Architecture and Data Augmentation
Sirawan Phiphiphatphaisit, Olarik Surinta
(2020), pp. 51-56
Closed Access | Times Cited: 55
Heterogeneous Fusion of Semantic and Collaborative Information for Visually-Aware Food Recommendation
Lei Meng, Fuli Feng, Xiangnan He, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2020)
Closed Access | Times Cited: 51
Dynamic Mixup for Multi-Label Long-Tailed Food Ingredient Recognition
Jixiang Gao, Jingjing Chen, Huazhu Fu, et al.
IEEE Transactions on Multimedia (2022) Vol. 25, pp. 4764-4773
Closed Access | Times Cited: 24
MyDietCam: Development and usability study of a food recognition integrated dietary monitoring smartphone application
Nadine Alvina Kong, Foong Ming Moy, Shu Hwa Ong, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 14
Enhancing Food Image Recognition by Multi-Level Fusion and the Attention Mechanism
Z. J. Chen, Jianxin Wang, Yeru Wang
Foods (2025) Vol. 14, Iss. 3, pp. 461-461
Open Access
Current Developments in Digital Quantitative Volume Estimation for the Optimisation of Dietary Assessment
Wesley Tay, Bhupinder Kaur, Rina Yu Chin Quek, et al.
Nutrients (2020) Vol. 12, Iss. 4, pp. 1167-1167
Open Access | Times Cited: 37
Mixed-dish Recognition with Contextual Relation Networks
Lixi Deng, Jingjing Chen, Qianru Sun, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2019) Vol. 13, pp. 112-120
Open Access | Times Cited: 36
Benchmarking algorithms for food localization and semantic segmentation
Sinem Aslan, Gianluigi Ciocca, Davide Mazzini, et al.
International Journal of Machine Learning and Cybernetics (2020) Vol. 11, Iss. 12, pp. 2827-2847
Closed Access | Times Cited: 35
The landscape of nutri-informatics: a review of current resources and challenges for integrative nutrition research
Lauren Chan, Nicole Vasilevsky, Anne Thessen, et al.
Database (2021) Vol. 2021
Open Access | Times Cited: 27
Learning Using Privileged Information for Food Recognition
Lei Meng, Long Chen, Xun Yang, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2019), pp. 557-565
Closed Access | Times Cited: 35
Food object recognition using a mobile device: Evaluation of currently implemented systems
Simon Knez, Luka Šajn
Trends in Food Science & Technology (2020) Vol. 99, pp. 460-471
Closed Access | Times Cited: 28
Women’s Usage Behavior and Perceived Usefulness with Using a Mobile Health Application for Gestational Diabetes Mellitus: Mixed-Methods Study
Shilpa Surendran, Chang Siang Lim, Gerald Choon‐Huat Koh, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 12, pp. 6670-6670
Open Access | Times Cited: 24
Improving the Generalization of Visual Classification Models Across IoT Cameras via Cross-Modal Inference and Fusion
Qing-Ling Guan, Yuze Zheng, Lei Meng, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 18, pp. 15835-15846
Closed Access | Times Cited: 10
Mixed Dish Recognition through Multi-Label Learning
Yunan Wang, Jingjing Chen, Chong‐Wah Ngo, et al.
(2019), pp. 1-8
Open Access | Times Cited: 26
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