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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:

NeuroPpred-SVM: A New Model for Predicting Neuropeptides Based on Embeddings of BERT
Yufeng Liu, Shuyu Wang, Xiang Li, et al.
Journal of Proteome Research (2023) Vol. 22, Iss. 3, pp. 718-728
Closed Access | Times Cited: 11

Showing 11 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
Optimization of L‐sorbose allocation for 2‐keto‐L‐gulonic acid production
Lei Cui, Yuyang Zhang, Mingfeng Li
The Canadian Journal of Chemical Engineering (2025)
Closed Access
pNPs-CapsNet: Predicting Neuropeptides Using Protein Language Models and FastText Encoding-Based Weighted Multi-View Feature Integration with Deep Capsule Neural Network
Shahid Akbar, Ali Raza, Hamid Hussain Awan, et al.
ACS Omega (2025)
Open Access
Research on Bitter Peptides in the Field of Bioinformatics: A Comprehensive Review
Shanghua Liu, Tianyu Shi, Junwen Yu, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 18, pp. 9844-9844
Open Access | Times Cited: 2
Comprehensive Assessment of BERT-Based Methods for Predicting Antimicrobial Peptides
W J Gao, Jun Zhao, Jianfeng Gui, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access | Times Cited: 2
"Computational Approaches for Identifying Neuropeptides: A Comprehensive Review"
Roger Rahmani, Leila R Kalankesh, Reza Ferdousi
Molecular Therapy — Nucleic Acids (2024) Vol. 36, Iss. 1, pp. 102409-102409
Open Access | Times Cited: 2
miPEPPred-FRL: A Novel Method for Predicting Plant MiRNA-Encoded Peptides Using Adaptive Feature Representation Learning
Haibin Li, Jun Meng, Zhaowei Wang, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2889-2900
Closed Access | Times Cited: 5
NeuroPred-ResSE: Predicting neuropeptides by integrating residual block and squeeze-excitation attention mechanism
Yunyun Liang, Mengyi Cao, Shengli Zhang
Analytical Biochemistry (2024) Vol. 695, pp. 115648-115648
Closed Access
NeuroPpred-SHE: An interpretable neuropeptides prediction model based on selected features from hand-crafted features and embeddings of T5 model
Jian Wen, Zhijie Ding, Zhuoyu Wei, et al.
Computers in Biology and Medicine (2024) Vol. 181, pp. 109048-109048
Closed Access
SGTCDA: Prediction of circRNA-drug sensitivity associations with interpretable graph transformers and effective assessment
Hongwei Xia, C. Dong, Xinxing Chen, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access
NeuroBooster: A Robust Classifier for the Discovery of Neuropeptide Sequences based on Meta-learning Approach
Md. Shazzad Hossain Shaon, Md. Fahim Sultan, Tasmin Karim, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 6132-6141
Closed Access
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