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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:

A Fine-Tuned Bidirectional Encoder Representations From Transformers Model for Food Named-Entity Recognition: Algorithm Development and Validation
Riste Stojanov, Gorjan Popovski, Gjorgjina Cenikj, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 8, pp. e28229-e28229
Open Access | Times Cited: 24

Showing 24 citing articles:

Decoding the Foodome: Molecular Networks Connecting Diet and Health
Giulia Menichetti, Albert-László Barabási, Joseph Loscalzo
Annual Review of Nutrition (2024) Vol. 44, Iss. 1, pp. 257-288
Open Access | Times Cited: 8
Integrating machine learning and artificial intelligence in life-course epidemiology: pathways to innovative public health solutions
Shanquan Chen, Jiazhou Yu, Sarah Chamouni, et al.
BMC Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 6
Aligning Food Ingredients with Multiple Semantic Resources
Darko Sasanski, Andrej Todorovski, Bojan Trpeski, et al.
Communications in computer and information science (2025), pp. 19-33
Closed Access
From language models to large-scale food and biomedical knowledge graphs
Gjorgjina Cenikj, Lidija Strojnik, Risto Angelski, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Few-shot entity linking of food names
Darius Feher, Faisal Mahmud Adam Ibrahim, Zhuyan Cheng, et al.
Information Processing & Management (2023) Vol. 60, Iss. 5, pp. 103463-103463
Open Access | Times Cited: 5
Network Science and Machine Learning for Precision Nutrition
Michael Sebek, Giulia Menichetti
Precision Nutrition (2023), pp. 367-402
Closed Access | Times Cited: 5
SMPT: A Semi-Supervised Multi-Model Prediction Technique for Food Ingredient Named Entity Recognition (FINER) Dataset Construction
Kokoy Siti Komariah, Ariana Tulus Purnomo, Ardianto Satriawan, et al.
Informatics (2023) Vol. 10, Iss. 1, pp. 10-10
Open Access | Times Cited: 4
Revisiting named entity recognition in food computing: enhancing performance and robustness
Uchenna Akujuobi, Shuhong Liu, Tarek R. Besold
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 1
Zero-shot evaluation of ChatGPT for food named-entity recognition and linking
Matevž Ogrinc, Barbara Koroušić Seljak, Tome Eftimov
Frontiers in Nutrition (2024) Vol. 11
Open Access | Times Cited: 1
Workflow for building interoperable food and nutrition security (FNS) data platforms
Yasmine Emara, Barbara Koroušić Seljak, Eileen R. Gibney, et al.
Trends in Food Science & Technology (2022) Vol. 123, pp. 310-321
Open Access | Times Cited: 7
BanglaBioMed: A Biomedical Named-Entity Annotated Corpus for Bangla (Bengali)
Salim Sazzed
(2022)
Open Access | Times Cited: 6
CafeteriaFCD Corpus: Food Consumption Data Annotated with Regard to Different Food Semantic Resources
Gordana Ispirova, Gjorgjina Cenikj, Matevž Ogrinc, et al.
Foods (2022) Vol. 11, Iss. 17, pp. 2684-2684
Open Access | Times Cited: 6
Utilizing an Entity-level Semantic Analysis Approach Towards Enhanced Policy Making
George Manias, María Ángeles Sanguino, Sergio Salmeron, et al.
(2023), pp. 01-11
Open Access | Times Cited: 2
Natural Language Processing and Machine Learning
George Manias, María Ángeles Sanguino, Sergio Salmerón Ríos, et al.
(2023)
Open Access | Times Cited: 2
A Deep Learning Model for the Normalization of Institution Names by Multisource Literature Feature Fusion: Algorithm Development Study
Yifei Chen, M Kellis, Aihua Li, et al.
JMIR Formative Research (2023) Vol. 7, pp. e47434-e47434
Open Access | Times Cited: 2
SciFoodNER: Food Named Entity Recognition for Scientific Text
Gjorgjina Cenikj, Gašper Petelin, Barbara Koroušić Seljak, et al.
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 4065-4073
Open Access | Times Cited: 4
Multifractal complexity analysis-based dynamic media text categorization models by natural language processing with BERT
Yeliz Karaca, Yudong Zhang, Ahu Dereli Dursun, et al.
Elsevier eBooks (2022), pp. 95-115
Closed Access | Times Cited: 1
Enhancing Food Ingredient Named-Entity Recognition with Recurrent Network-Based Ensemble (RNE) Model
Kokoy Siti Komariah, Bong-Kee Sin
Applied Sciences (2022) Vol. 12, Iss. 20, pp. 10310-10310
Open Access | Times Cited: 1
CafeteriaSA corpus: scientific abstracts annotated across different food semantic resources
Gjorgjina Cenikj, Eva Valenčič, Gordana Ispirova, et al.
Database (2022) Vol. 2022
Open Access | Times Cited: 1
A Deep Learning Model for the Normalization of Institution Names by Multisource Literature Feature Fusion: Algorithm Development Study (Preprint)
Yifei Chen, M Kellis, Aihua Li, et al.
(2023)
Open Access
Revisiting Named Entity Recognition in Food Computing: Enhancing Performance and Robustness
Uchenna Akujuobi, Shuhong Liu, Tarek R. Besold
Research Square (Research Square) (2023)
Open Access
A Hybrid Approach for Food Name Recognition in Restaurant Reviews
Ali Haider, Sana Saeed, Kashif Bilal, et al.
2022 International Symposium on Networks, Computers and Communications (ISNCC) (2023)
Closed Access
Fine-Grained and Complex Food Entity Recognition Benchmark for Ingredient Substitution
Agnieszka Ławrynowicz, Anna Wròblewska, Agnieszka Kaliska, et al.
(2023) Vol. 350, pp. 25-29
Closed Access
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