Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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: 21

Showing 21 citing articles:

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: 19
Therapeutic Peptide Development Revolutionized: Harnessing the Power of Artificial Intelligence for Drug Discovery
Samaneh Hashemi, Parisa Vosough, Saeed Taghizadeh, et al.
Heliyon (2024) Vol. 10, Iss. 22, pp. e40265-e40265
Open Access | Times Cited: 8
Harnessing machine learning to predict cytochrome P450 inhibition through molecular properties
Hamza Zahid, Hilal Tayara, Kil To Chong
Archives of Toxicology (2024) Vol. 98, Iss. 8, pp. 2647-2658
Closed Access | Times Cited: 7
An integrative machine learning model for the identification of tumor T-cell antigens
Mir Tanveerul Hassan, Hilal Tayara, Kil To Chong
Biosystems (2024) Vol. 237, pp. 105177-105177
Closed Access | Times Cited: 6
Stack-AAgP: Computational prediction and interpretation of anti-angiogenic peptides using a meta-learning framework
Saima Gaffar, Hilal Tayara, Kil To Chong
Computers in Biology and Medicine (2024) Vol. 174, pp. 108438-108438
Closed Access | Times Cited: 6
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
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: 5
Analysis of Ruddlesden‐Popper and Dion‐Jacobson 2D Lead Halide Perovskites Through Integrated Experimental and Computational Analysis
Basir Akbar, Kil To Chong, Hilal Tayara
Battery energy (2025)
Open Access
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
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
A BERT-based approach for identifying anti-inflammatory peptides using sequence information
Teng Xu, Qian Wang, Zhigang Yang, et al.
Heliyon (2024) Vol. 10, Iss. 12, pp. e32951-e32951
Open Access | Times Cited: 2
NaII-Pred: An ensemble-learning framework for the identification and interpretation of sodium ion inhibitors by fusing multiple feature representation
Mir Tanveerul Hassan, Hilal Tayara, Kil To Chong
Computers in Biology and Medicine (2024) Vol. 178, pp. 108737-108737
Closed Access | Times Cited: 2
Integrating relational and sequential information for enhanced detection of autoimmune disorders with relational Neural Networks and Long Short-Term Memory networks
K. Priyadarshini, Mohamed Yacin Sikkandar, Abdulrahman AlDuraywish, et al.
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106495-106495
Closed Access | Times Cited: 1
SB-Net: Synergizing CNN and LSTM networks for uncovering retrosynthetic pathways in organic synthesis
Bilal Ahmad Mir, Hilal Tayara, Kil To Chong
Computational Biology and Chemistry (2024) Vol. 112, pp. 108130-108130
Closed Access | Times Cited: 1
A deep learning model for anti-inflammatory peptides identification based on deep variational autoencoder and contrastive learning
Yujie Xu, Shengli Zhang, Feng Zhu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
DeepAIP: Deep learning for anti-inflammatory peptide prediction using pre-trained protein language model features based on contextual self-attention network
Lun Zhu, Qingguo Yang, Sen Yang
International Journal of Biological Macromolecules (2024) Vol. 280, pp. 136172-136172
Closed Access | Times Cited: 1
Possum: identification and interpretation of potassium ion inhibitors using probabilistic feature vectors
Mir Tanveerul Hassan, Hilal Tayara, Kil To Chong
Archives of Toxicology (2024)
Closed Access | Times Cited: 1
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
AISMPred: A Machine Learning Approach for Predicting Anti-Inflammatory Small Molecules
Subathra Selvam, Priya Dharshini Balaji, Honglae Sohn, et al.
Pharmaceuticals (2024) Vol. 17, Iss. 12, pp. 1693-1693
Open Access
GGAS2SN: Gated Graph and SmilesToSeq Network for Solubility Prediction
Waqar Ahmad, Kil To Chong, Hilal Tayara
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 20, pp. 7833-7843
Closed Access
Identification of Multi-functional Therapeutic Peptides Based on Prototypical Supervised Contrastive Learning
Sitong Niu, Henghui Fan, Fei Wang, et al.
Interdisciplinary Sciences Computational Life Sciences (2024)
Closed Access
Page 1

Scroll to top