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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:

Sequential transfer learning based on hierarchical clustering for improved performance in deep learning based food segmentation
Mia Siemon, ASM Shihavuddin, Gitte Ravn‐Haren
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 20

Showing 20 citing articles:

Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review
Tagne Poupi Theodore Armand, Kintoh Allen Nfor, Jung-In Kim, et al.
Nutrients (2024) Vol. 16, Iss. 7, pp. 1073-1073
Open Access | Times Cited: 41
Marketing strategy in "Bakpiapia Djogja" food product packaging design
Gibbran Prathisara, Anang Masduki
COMMICAST (2023) Vol. 4, Iss. 1, pp. 48-63
Open Access | Times Cited: 19
Comparison of hierarchical clustering and neural network clustering: an analysis on precision dominance
Nazish Shahid
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 13
Deep Learning for Food Image Recognition and Nutrition Analysis Towards Chronic Diseases Monitoring: A Systematic Review
Merieme Mansouri, Samia Benabdellah Chaouni, Said Jai Andaloussi, et al.
SN Computer Science (2023) Vol. 4, Iss. 5
Closed Access | Times Cited: 11
Evaluating machine learning technologies for food computing from a data set perspective
Nauman Ullah Gilal, Khaled Al-Thelaya, Jumana Khalid Al-Saeed, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 11, pp. 32041-32068
Open Access | Times Cited: 11
Does diet breadth affect the complexity of the phytophagous insect microbiota? The case study of Chrysomelidae
Matteo Brunetti, Giulia Magoga, Fabrizia Gionechetti, et al.
Environmental Microbiology (2021) Vol. 24, Iss. 8, pp. 3565-3579
Open Access | Times Cited: 27
Fat-based studies for computer-assisted screening of child obesity using thermal imaging based on deep learning techniques: a comparison with quantum machine learning approach
R Rashmi, U. Snekhalatha, Palani Thanaraj Krishnan, et al.
Soft Computing (2022) Vol. 27, Iss. 18, pp. 13093-13114
Closed Access | Times Cited: 16
Lightweight and Parameter-Optimized Real-Time Food Calorie Estimation from Images Using CNN-Based Approach
Rakib Ul Haque, Razib Hayat Khan, ASM Shihavuddin, et al.
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9733-9733
Open Access | Times Cited: 14
CAPG-MYO: A Muscle-Computer Interface Supporting User-defined Gesture Recognition
Qingfeng Dai, Xiangdong Li, Weidong Geng, et al.
(2021)
Closed Access | Times Cited: 11
Transfer learning strategy for data-driven correction of wind measurement around buildings using cup anemometers
Rongmao Li, Hideki Kikumoto, Hongyuan Jia, et al.
Building and Environment (2023) Vol. 241, pp. 110499-110499
Closed Access | Times Cited: 4
Prevalence and management of aphids (Hemiptera: Aphididae) in different wheat genotypes and their impact on yield and related traits
Faisal Hafeez, Muneer Abbas, Khuram Zia, et al.
PLoS ONE (2021) Vol. 16, Iss. 10, pp. e0257952-e0257952
Open Access | Times Cited: 6
Cross-sensor domain adaptation for data-driven correction of pedestrian level wind measurement in urban environments using cup anemometers
Rongmao Li, Hideki Kikumoto, Hongyuan Jia, et al.
Sustainable Cities and Society (2024) Vol. 106, pp. 105430-105430
Closed Access
A New Way to Identify Mastitis in Cows Using Artificial Intelligence
Rodes Angelo Batista da Silva, Héliton Pandorfi, Filipe R. Cordeiro, et al.
AgriEngineering (2024) Vol. 6, Iss. 4, pp. 4220-4232
Open Access
Transfer morphological features for segmentation with few labels on fluorescent mitochondria images
Tianyi Zhang, Junchao Fan, Xiuli Bi, et al.
IET Image Processing (2024) Vol. 19, Iss. 1
Open Access
A proficiency assessment of integrating machine learning (ML) schemes on Lahore water ensemble
Nazish Shahid
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 1
Reclaiming Women‟s power by eatery names in two multicultural cities
Ajar Pradika Ananta Tur, Arini Sabrina, Azelin Mohammed Noor, et al.
International Journal of Communication and Society (2023) Vol. 5, Iss. 1, pp. 58-71
Open Access | Times Cited: 1
MATLAB simulation of performance evaluation model of time-frequency analysis method based on SVM
Zejun Gao, Fei Cao, Chuan He, et al.
Journal of Physics Conference Series (2022) Vol. 2246, Iss. 1, pp. 012087-012087
Open Access | Times Cited: 1
Digital Twins for Food Nutrition and Health Based on Cloud Communication
Zhihan Lv, Liang Qiao
Springer eBooks (2023), pp. 37-61
Closed Access
Cross-Sensor Domain Adaptation for Data-Driven Correction of Pedestrian Level Wind Measurement in Urban Environments Using Cup Anemometers
Rongmao Li, Hideki Kikumoto, Hongyuan Jia, et al.
(2023)
Closed Access
Person Adapted Emotion Recognition using Deep Learning
Md Hafiz Sikder, ASM Shihavuddin, Md. Hasan Maruf, et al.
(2023), pp. 1-5
Closed Access
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