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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:

AIEpred: An Ensemble Predictive Model of Classifier Chain to Identify Anti-Inflammatory Peptides
Jinhao Zhang, Zehua Zhang, Lianrong Pu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2020) Vol. 18, Iss. 5, pp. 1831-1840
Closed Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Antimicrobial peptides: An alternative to traditional antibiotics
Shuaiqi Ji, Feiyu An, Tengxue Zhang, et al.
European Journal of Medicinal Chemistry (2023) Vol. 265, pp. 116072-116072
Closed Access | Times Cited: 78
AIPs-SnTCN: Predicting Anti-Inflammatory Peptides Using fastText and Transformer Encoder-Based Hybrid Word Embedding with Self-Normalized Temporal Convolutional Networks
Ali Raza, Jamal Uddin, Abdullah Almuhaimeed, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 21, pp. 6537-6554
Closed Access | Times Cited: 75
Machine learning for antimicrobial peptide identification and design
Fangping Wan, Felix Wong, James J. Collins, et al.
Nature Reviews Bioengineering (2024) Vol. 2, Iss. 5, pp. 392-407
Closed Access | Times Cited: 52
AIPs-DeepEnC-GA: Predicting Anti-inflammatory Peptides using Embedded Evolutionary and Sequential Feature Integration with Genetic Algorithm based Deep Ensemble Model
Ali Raza, Jamal Uddin, Quan Zou, et al.
Chemometrics and Intelligent Laboratory Systems (2024), pp. 105239-105239
Closed Access | Times Cited: 22
A Comparative Performance Assessment of Optimized Multilevel Ensemble Learning Model with Existing Classifier Models
Mukesh Kumar, Karan Bajaj, Bhisham Sharma, et al.
Big Data (2021) Vol. 10, Iss. 5, pp. 371-387
Closed Access | Times Cited: 90
IF-AIP: A machine learning method for the identification of anti-inflammatory peptides using multi-feature fusion strategy
Saima Gaffar, Mir Tanveerul Hassan, Hilal Tayara, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107724-107724
Closed Access | Times Cited: 24
Comprehensive Analysis of Computational Methods for Predicting Anti-inflammatory Peptides
Ali Raza, Jamal Uddin, Shahid Akbar, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 6, pp. 3211-3229
Closed Access | Times Cited: 12
NmRF: identification of multispecies RNA 2’-O-methylation modification sites from RNA sequences
Chunyan Ao, Quan Zou, Liang Yu
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 46
Identification of Claudin-6 as a Molecular Biomarker in Pan-Cancer Through Multiple Omics Integrative Analysis
Chiyuan Zhang, Cuishan Guo, Yan Li, et al.
Frontiers in Cell and Developmental Biology (2021) Vol. 9
Open Access | Times Cited: 44
PrMFTP: Multi-functional therapeutic peptides prediction based on multi-head self-attention mechanism and class weight optimization
Wenhui Yan, Wending Tang, Lihua Wang, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 9, pp. e1010511-e1010511
Open Access | Times Cited: 31
Identify DNA-Binding Proteins Through the Extreme Gradient Boosting Algorithm
Ziye Zhao, Wen Yang, Yixiao Zhai, et al.
Frontiers in Genetics (2022) Vol. 12
Open Access | Times Cited: 26
dPromoter-XGBoost: Detecting promoters and strength by combining multiple descriptors and feature selection using XGBoost
Hongfei Li, Lei Shi, Wentao Gao, et al.
Methods (2022) Vol. 204, pp. 215-222
Open Access | Times Cited: 24
MPMABP: A CNN and Bi-LSTM-Based Method for Predicting Multi-Activities of Bioactive Peptides
You Li, Xueyong Li, Yuewu Liu, et al.
Pharmaceuticals (2022) Vol. 15, Iss. 6, pp. 707-707
Open Access | Times Cited: 24
DeepAIPs-Pred: Predicting Anti-Inflammatory Peptides Using Local Evolutionary Transformation Images and Structural Embedding-Based Optimal Descriptors with Self-Normalized BiTCNs
Shahid Akbar, Matee Ullah, Ali Raza, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access | Times Cited: 6
The role of YTH domain containing 2 in epigenetic modification and immune infiltration of pan‐cancer
Chiyuan Zhang, Cuishan Guo, Yan Li, et al.
Journal of Cellular and Molecular Medicine (2021) Vol. 25, Iss. 18, pp. 8615-8627
Open Access | Times Cited: 28
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: 22
Predicting Anti-inflammatory Peptides by Ensemble Machine Learning and Deep Learning
Jiahui Guan, Lantian Yao, Chia‐Ru Chung, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 24, pp. 7886-7898
Closed Access | Times Cited: 13
TPpred-SC: multi-functional therapeutic peptide prediction based on multi-label supervised contrastive learning
Ke Yan, Hongwu Lv, Jiangyi Shao, et al.
Science China Information Sciences (2024) Vol. 67, Iss. 11
Closed Access | Times Cited: 4
Artificial intelligence in food bioactive peptides screening: Recent advances and future prospects
Ji Yoon Chang, Haitao Wang, Wentao Su, et al.
Trends in Food Science & Technology (2024), pp. 104845-104845
Closed Access | Times Cited: 4
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
Bi-level Deep Feature Synthesis Through Variational Autoencoder For Predicting Peptide Antiviral Activity Using Optimized Deep Ensemble
Aditya Kumar, Deepak Kumar Singh
Expert Systems with Applications (2025), pp. 128093-128093
Closed Access
Granular multiple kernel learning for identifying RNA-binding protein residues via integrating sequence and structure information
Chao Yang, Yijie Ding, Qiaozhen Meng, et al.
Neural Computing and Applications (2021)
Closed Access | Times Cited: 22
Machine Learning Tools for Peptide Bioactivity Evaluation – Implications for Cell Culture Media Optimization and the Broader Cultivated Meat Industry
Kathy Sharon Isaac, Michelle Combe, Greg Potter, et al.
Current Research in Food Science (2024) Vol. 9, pp. 100842-100842
Open Access | Times Cited: 3
KK-DBP: A Multi-Feature Fusion Method for DNA-Binding Protein Identification Based on Random Forest
Yuran Jia, Shan Huang, Tianjiao Zhang
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 19
IGPred‐HDnet: Prediction of Immunoglobulin Proteins Using Graphical Features and the Hierarchal Deep Learning‐Based Approach
Ali Zakir, Fahad Alturise, Tamim Alkhalifah, et al.
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 8
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