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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 Comparative Analysis of Novel Deep Learning and Ensemble Learning Models to Predict the Allergenicity of Food Proteins
Liyang Wang, Dantong Niu, Xinjie Zhao, et al.
Foods (2021) Vol. 10, Iss. 4, pp. 809-809
Open Access | Times Cited: 21

Showing 21 citing articles:

State-of-the-Art Deep Learning Methods on Electrocardiogram Data: Systematic Review
Georgios Petmezas, Leandros Stefanopoulos, Vassilis Kilintzis, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 8, pp. e38454-e38454
Open Access | Times Cited: 56
Deep learning drives efficient discovery of novel antihypertensive peptides from soybean protein isolate
Yiyun Zhang, Zijian Dai, Xinjie Zhao, et al.
Food Chemistry (2022) Vol. 404, pp. 134690-134690
Closed Access | Times Cited: 28
Enhancing the Paddy Disease Classification by Using Cross-Validation Strategy for Artificial Neural Network over Baseline Classifiers
V. Malathi, M. P. Gopinath, Manoj Kumar, et al.
Journal of Sensors (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 15
pLM4Alg: Protein Language Model-Based Predictors for Allergenic Proteins and Peptides
Zhenjiao Du, Yixiang Xu, Changqi Liu, et al.
Journal of Agricultural and Food Chemistry (2023) Vol. 72, Iss. 1, pp. 752-760
Closed Access | Times Cited: 14
Sequence-Based Prediction of Plant Allergenic Proteins: Machine Learning Classification Approach
Miroslava Nedyalkova, Mahdi Vasighi, Amirreza Azmoon, et al.
ACS Omega (2023) Vol. 8, Iss. 4, pp. 3698-3704
Open Access | Times Cited: 13
SEP-AlgPro: An efficient allergen prediction tool utilizing traditional machine learning and deep learning techniques with protein language model features
Shaherin Basith, Nhat Truong Pham, Balachandran Manavalan, et al.
International Journal of Biological Macromolecules (2024) Vol. 273, pp. 133085-133085
Closed Access | Times Cited: 4
pLM4CPPs: Protein Language Model-Based Predictor for Cell Penetrating Peptides
Nandan Kumar, Zhenjiao Du, Yonghui Li
Journal of Chemical Information and Modeling (2025)
Closed Access
DeepAlgPro: an interpretable deep neural network model for predicting allergenic proteins
He Chun, Xinhai Ye, Yi Yang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 11
Mining Bovine Milk Proteins for DPP-4 Inhibitory Peptides Using Machine Learning and Virtual Proteolysis
Yiyun Zhang, Yiqing Zhu, Xin Bao, et al.
Research (2024) Vol. 7
Open Access | Times Cited: 3
Recent advances in Transformer technology for agriculture: A comprehensive survey
Weijun Xie, M G Zhao, Ying Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109412-109412
Closed Access | Times Cited: 3
Transfer Learning Based Models for Food Detection Using ResNet-50
Biswaranjan Senapati, John R. Talburt, Awad Bin Naeem, et al.
(2023), pp. 224-229
Closed Access | Times Cited: 8
ProAll-D: protein allergen detection using long short term memory - a deep learning approach
M S Pallavi, Rakshitha Kumar
ADMET & DMPK (2022)
Open Access | Times Cited: 12
Prospects for developing allergen‐depleted food crops
Vadthya Lokya, Sejal Parmar, Arun K. Pandey, et al.
The Plant Genome (2023) Vol. 16, Iss. 4
Open Access | Times Cited: 6
Automated Well-Log Pattern Alignment and Depth-Matching Techniques: An Empirical Review and Recommendations
Chinedu Pascal Ezenkwu, John Guntoro, Andrew Starkey, et al.
Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description (2023) Vol. 64, Iss. 1, pp. 115-129
Open Access | Times Cited: 4
Allergenicity evaluation of five types of commercial food-derived oligopeptide products
Wenwen Xiong, Qiuyu Zhang, Junjuan Wang, et al.
Food & Function (2023) Vol. 14, Iss. 8, pp. 3871-3879
Closed Access | Times Cited: 4
The use of artificial intelligence in the production of genetically modified (GM) crops: a recent promising strategy for enhancing the acceptability of GM products ?
Gideon Sadikiel Mmbando
Deleted Journal (2024) Vol. 6, Iss. 11
Open Access | Times Cited: 1
A deep learning based ensemble approach for protein allergen classification
A.J. Kumar, Prashant Singh Rana
PeerJ Computer Science (2023) Vol. 9, pp. e1622-e1622
Open Access | Times Cited: 2
An Efficient Dilated DTCN with Residual LSTM-based Allergenicity Prediction for Chemical Compounds using Optimal Weighted Feature Selection and Improved Optimization Mechanism
T. V. Padmavathy, M. Thenmozhi, Thirumurthy Madhavan
(2024), pp. 1-17
Closed Access
Towards Autonomous Developmental Artificial Intelligence: Case Study for Explainable AI
Andrew Starkey, Chinedu Pascal Ezenkwu
IFIP advances in information and communication technology (2023), pp. 94-105
Closed Access
Medicina de Precisión para la alergia: el nuevo paradigma del siglo XXI
Dos Santos Costa R, Souza da Cruz Filho A A
Methodo Investigación Aplicada a las Ciencias Biológicas (2023) Vol. 8, Iss. 2
Open Access
A Systematic Literature Review on Solutions of Mutation Testing Problems
Loh Zheung Yik, Wan Mohd Nasir Wan Kadir, Noraini Ibrahim
(2023), pp. 64-71
Closed Access
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