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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:

HLAB: learning the BiLSTM features from the ProtBert-encoded proteins for the class I HLA-peptide binding prediction
Yaqi Zhang, Gancheng Zhu, Kewei Li, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Leveraging transformers‐based language models in proteome bioinformatics
Nguyen Quoc Khanh Le
PROTEOMICS (2023) Vol. 23, Iss. 23-24
Closed Access | Times Cited: 35
Prediction of antioxidant peptides using a quantitative structure−activity relationship predictor (AnOxPP) based on bidirectional long short-term memory neural network and interpretable amino acid descriptors
Dongya Qin, Linna Jiao, Ruihong Wang, et al.
Computers in Biology and Medicine (2023) Vol. 154, pp. 106591-106591
Closed Access | Times Cited: 33
ACPPfel: Explainable deep ensemble learning for anticancer peptides prediction based on feature optimization
Mingyou Liu, Tao Wu, Xue Li, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 12
Pan-cancer atlas of tumor-resident microbiome, immunity and prognosis
Dashuang Sheng, Chuandi Jin, Kaile Yue, et al.
Cancer Letters (2024) Vol. 598, pp. 217077-217077
Open Access | Times Cited: 6
CollagenTransformer: End-to-End Transformer Model to Predict Thermal Stability of Collagen Triple Helices Using an NLP Approach
Eesha Khare, Constancio González‐Obeso, David L. Kaplan, et al.
ACS Biomaterials Science & Engineering (2022) Vol. 8, Iss. 10, pp. 4301-4310
Closed Access | Times Cited: 28
CapsNet-MHC predicts peptide-MHC class I binding based on capsule neural networks
Mahmood Kalemati, Saeid Darvishi, Somayyeh Koohi
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 13
Artificial intelligence and neoantigens: paving the path for precision cancer immunotherapy
Alla Bulashevska, Zsófia Nacsa, Franziska Lang, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 5
IUP-BERT: Identification of Umami Peptides Based on BERT Features
Liangzhen Jiang, Jici Jiang, Xiao Wang, et al.
Foods (2022) Vol. 11, Iss. 22, pp. 3742-3742
Open Access | Times Cited: 19
A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future Directions
Asma Musabah Alkalbani, Ahmed Salim Alrawahi, Ahmad Salah, et al.
Research Square (Research Square) (2025)
Open Access
Fine-Tuning Protein Language Models Unlocks the Potential of Underrepresented Viral Proteomes
Rajan Sawhney, Barbra D. Ferrell, Thibaut Dejean, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
PEZy-Miner: An artificial intelligence driven approach for the discovery of plastic-degrading enzyme candidates
Renjing Jiang, Zhenrui Yue, Lanyu Shang, et al.
Metabolic Engineering Communications (2024) Vol. 19, pp. e00248-e00248
Open Access | Times Cited: 3
A unified deep framework for peptide–major histocompatibility complex–T cell receptor binding prediction
Yunxiang Zhao, Jijun Yu, Yixin Su, et al.
Nature Machine Intelligence (2025)
Open Access
A comprehensive assessment and comparison of tools for HLA class I peptide-binding prediction
Meng Wang, Lukasz Kurgan, Min Li
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Open Access | Times Cited: 9
EpiTEAmDNA: Sequence feature representation via transfer learning and ensemble learning for identifying multiple DNA epigenetic modification types across species
Fei Li, Shuai Liu, Kewei Li, et al.
Computers in Biology and Medicine (2023) Vol. 160, pp. 107030-107030
Closed Access | Times Cited: 9
Fusing Sequence and Structural Knowledge by Heterogeneous Models to Accurately and Interpretively Predict Drug–Target Affinity
Xin Zeng, Kai-Yang Zhong, Bei Jiang, et al.
Molecules (2023) Vol. 28, Iss. 24, pp. 8005-8005
Open Access | Times Cited: 7
APEX-pHLA: A novel method for accurate prediction of the binding between exogenous short peptides and HLA class I molecules
Zhihao Su, Yejian Wu, Kaiqiang Cao, et al.
Methods (2024) Vol. 228, pp. 38-47
Closed Access | Times Cited: 2
iMFP-LG: Identification of Novel Multi-Functional Peptides by Using Protein Language Models and Graph-Based Deep Learning
Jiawei Luo, Kejuan Zhao, Junjie Chen, et al.
Genomics Proteomics & Bioinformatics (2024)
Open Access | Times Cited: 1
CcBHLA: pan-specific peptide–HLA class I binding prediction via Convolutional and BiLSTM features
Yejian Wu, Lujing Cao, Zhipeng Wu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
MSTL-Kace: Prediction of Prokaryotic Lysine Acetylation Sites Based on Multistage Transfer Learning Strategy
Gang-Ao Wang, Xiaodi Yan, Xiang Li, et al.
ACS Omega (2023) Vol. 8, Iss. 44, pp. 41930-41942
Open Access | Times Cited: 3
GHGPR-PPIS: A graph convolutional network for identifying protein-protein interaction site using heat kernel with Generalized PageRank techniques and edge self-attention feature processing block
Xin Zeng, Fanfang Meng, Xin Li, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107683-107683
Closed Access | Times Cited: 3
Antimicrobial Peptides Prediction method based on sequence multidimensional feature embedding
Benzhi Dong, Mengna Li, Bei Jiang, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 5
Deep Learning and Transformers in MHC-Peptide Binding and Presentation Towards Personalized Vaccines in Cancer Immunology: A Brief Review
Vicente Machaca, Valeria Goyzueta, María Graciel Cruz, et al.
Lecture notes in networks and systems (2023), pp. 14-23
Closed Access | Times Cited: 2
Predicting multifunctional peptides based on a multi-scale ResNet model combined with channel attention mechanisms
Jing Liu, Hongpu Zhao, Yu Zhang, et al.
Electronic Research Archive (2024) Vol. 32, Iss. 4, pp. 2921-2935
Open Access
Transformers meets neoantigen detection: a systematic literature review
Vicente Machaca, Valeria Goyzueta, María Graciel Cruz, et al.
Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (2024) Vol. 21, Iss. 2
Open Access
GASIDN: identification of sub-Golgi proteins with multi-scale feature fusion
Jianan Sui, Jiazi Chen, Yuehui Chen, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access
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