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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:

NetBCE: An Interpretable Deep Neural Network for Accurate Prediction of Linear B-Cell Epitopes
Haodong Xu, Zhongming Zhao
Genomics Proteomics & Bioinformatics (2022) Vol. 20, Iss. 5, pp. 1002-1012
Open Access | Times Cited: 14

Showing 14 citing articles:

Ensemble Multifeatured Deep Learning Models and Applications: A Survey
Satheesh Abimannan, El-Sayed M. El-Alfy, Yue‐Shan Chang, et al.
IEEE Access (2023) Vol. 11, pp. 107194-107217
Open Access | Times Cited: 24
Single-residue linear and conformational B cell epitopes prediction using random and ESM-2 based projections
Sapir Israeli, Yoram Louzoun
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 6
Artificial Intelligence in Omics
Feng Gao, Kun Huang, Yi Xing
Genomics Proteomics & Bioinformatics (2022) Vol. 20, Iss. 5, pp. 811-813
Open Access | Times Cited: 23
DeepPROTECTNeo: A Deep learning-based Personalized and RV-guided Optimization tool for TCR Epitope interaction using Context-aware Transformers
Debraj Das, Soumyadeep Bhaduri, Achintya Kumar Pramanick, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Potential of AI and ML in oncology research including diagnosis, treatment and future directions: A comprehensive prospective
Akanksha Gupta, Sarita Bajaj, Priyanshu Nema, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109918-109918
Closed Access
DeepLBCEPred: A Bi-LSTM and multi-scale CNN-based deep learning method for predicting linear B-cell epitopes
Yue Qi, Peijie Zheng, Guohua Huang
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 5
Screening and identification of linear B-cell epitopes on structural proteins of African Swine Fever Virus
Haiyan Lu, Junjun Shao, Wei Liu, et al.
Virus Research (2024) Vol. 350, pp. 199465-199465
Open Access | Times Cited: 1
MetaDegron: multimodal feature-integrated protein language model for predicting E3 ligase targeted degrons
Mengqiu Zheng, Shaofeng Lin, Kunqi Chen, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 1
Decoding Wilson disease: a machine learning approach to predict neurological symptoms
Yulong Yang, Gang-Ao Wang, Shuzhen Fang, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 1
Family-Specific Training Improves Linear B Cell Epitope Prediction for Emerging Viruses
Ran Liu, Ye‐Fan Hu, Jin Du, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 6, pp. 3669-3680
Closed Access | Times Cited: 2
VirusImmu: a novel ensemble machine learning approach for viral immunogenicity prediction
Jing Li, Zhongpeng Zhao, Chengzheng Tai, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
BeeTLe: A Framework for Linear B-Cell Epitope Prediction and Classification
Xiao Yuan
Lecture notes in computer science (2023), pp. 477-494
Closed Access | Times Cited: 1
Predicting the spatial structure of membrane protein and B-cell epitopes of the MPXV_VEROE6 strain of monkeypox virus
Zhiyuan Lv, Feng Ji, Jianzhong Song, et al.
Heliyon (2023) Vol. 9, Iss. 10, pp. e20386-e20386
Open Access | Times Cited: 1
BeeTLe: A Framework for Linear B-Cell Epitope Prediction and Classification
Xiao Yuan
arXiv (Cornell University) (2023)
Open Access
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