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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-Fuse: an interpretable stacking model for prediction of neuropeptides by fusing sequence information and feature selection methods
Mingming Jiang, Bowen Zhao, Shenggan Luo, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

StackedEnC-AOP: prediction of antioxidant proteins using transform evolutionary and sequential features based multi-scale vector with stacked ensemble learning
Gul Rukh, Shahid Akbar, Gauhar Rehman, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 25
Identifying Neuropeptides via Evolutionary and Sequential Based Multi-Perspective Descriptors by Incorporation With Ensemble Classification Strategy
Shahid Akbar, Heba G. Mohamed, Hashim Ali, et al.
IEEE Access (2023) Vol. 11, pp. 49024-49034
Open Access | Times Cited: 31
NeuroPred-PLM: an interpretable and robust model for neuropeptide prediction by protein language model
Lei Wang, Chen Huang, Mingxia Wang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 25
Ensemble Machine Learning Techniques Using Computer Simulation Data for Wild Blueberry Yield Prediction
Hayam R. Seireg, Yasser Omar, Fathi E. Abd El‐Samie, et al.
IEEE Access (2022) Vol. 10, pp. 64671-64687
Open Access | Times Cited: 37
Explainable artificial intelligence for omics data: a systematic mapping study
Philipp A Toussaint, Florian Leiser, Scott Thiebes, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 17
PepNet: an interpretable neural network for anti-inflammatory and antimicrobial peptides prediction using a pre-trained protein language model
Jiyun Han, Tongxin Kong, Juntao Liu
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 6
CELA-MFP: a contrast-enhanced and label-adaptive framework for multi-functional therapeutic peptides prediction
Yitian Fang, Mingshuang Luo, Zhixiang Ren, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 5
Peptide classification landscape: An in-depth systematic literature review on peptide types, databases, datasets, predictors architectures and performance
Muhammad Nabeel Asim, Tayyaba Asif, Faiza Mehmood, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109821-109821
Closed Access
Prediction of anti-inflammatory peptides by a sequence-based stacking ensemble model named AIPStack
Hua Deng, Chaofeng Lou, Zengrui Wu, et al.
iScience (2022) Vol. 25, Iss. 9, pp. 104967-104967
Open Access | Times Cited: 21
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
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
NeuroPred-CLQ: incorporating deep temporal convolutional networks and multi-head attention mechanism to predict neuropeptides
Shouzhi Chen, Qing Li, Jianping Zhao, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 17
PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learning
Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, et al.
Computers in Biology and Medicine (2023) Vol. 158, pp. 106784-106784
Closed 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
NeuroCNN_GNB: an ensemble model to predict neuropeptides based on a convolution neural network and Gaussian naive Bayes
Di Liu, Zhengkui Lin, Cangzhi Jia
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 9
PACVP: Prediction of Anti-Coronavirus Peptides Using a Stacking Learning Strategy With Effective Feature Representation
Shouzhi Chen, Yanhong Liao, Jianping Zhao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 5, pp. 3106-3116
Closed Access | Times Cited: 8
DeepPSE: Prediction of polypharmacy side effects by fusing deep representation of drug pairs and attention mechanism
Shenggeng Lin, Guangwei Zhang, Dong‐Qing Wei, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 105984-105984
Closed Access | Times Cited: 13
Machine and deep learning-based clinical characteristics and laboratory markers for the prediction of sarcopenia
He Zhang, Mengting Yin, Qianhui Liu, et al.
Chinese Medical Journal (2023)
Open Access | Times Cited: 7
GBDT-IL: Incremental Learning of Gradient Boosting Decision Trees to Detect Botnets in Internet of Things
Ruidong Chen, Tianci Dai, Yanfeng Zhang, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2083-2083
Open 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
NeuroPep 2.0: An Updated Database Dedicated to Neuropeptide and Its Receptor Annotations
Mingxia Wang, Lei Wang, Wei Xu, et al.
Journal of Molecular Biology (2023) Vol. 436, Iss. 4, pp. 168416-168416
Closed Access | Times Cited: 6
Method for predicting the remaining mileage of electric vehicles based on dimension expansion and model fusion
Tian Sheng, Chengwei Li, Qing Lv, et al.
IET Intelligent Transport Systems (2022) Vol. 16, Iss. 8, pp. 1074-1091
Open Access | Times Cited: 10
Exome sequencing identifies novel somatic variants in African American esophageal squamous cell carcinoma
Hayriye V. Erkizan, Shrey Sukhadia, Thanemozhi G. Natarajan, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 14
A combinatorial machine-learning-driven approach for predicting glass transition temperature based on numerous molecular descriptors
Dazi Li, Caibo Dong, Zhudan Chen, et al.
Molecular Simulation (2023) Vol. 49, Iss. 6, pp. 617-627
Closed Access | Times Cited: 5
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
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