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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:

ACP-GCN: The Identification of Anticancer Peptides Based on Graph Convolution Networks
B. Dharma Rao, Lichao Zhang, Guoying Zhang
IEEE Access (2020) Vol. 8, pp. 176005-176011
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Rohan Gupta, Devesh Srivastava, Mehar Sahu, et al.
Molecular Diversity (2021) Vol. 25, Iss. 3, pp. 1315-1360
Open Access | Times Cited: 889
Prediction of anticancer peptides based on an ensemble model of deep learning and machine learning using ordinal positional encoding
Qitong Yuan, Keyi Chen, Yimin Yu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 74
Anti-Cancer Peptides: Status and Future Prospects
Gehane Ghaly, Hatem Tallima, Eslam Dabbish, et al.
Molecules (2023) Vol. 28, Iss. 3, pp. 1148-1148
Open Access | Times Cited: 42
xDeep-AcPEP: Deep Learning Method for Anticancer Peptide Activity Prediction Based on Convolutional Neural Network and Multitask Learning
Jiarui Chen, Hong Hin Cheong, Shirley W. I. Siu
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 8, pp. 3789-3803
Open Access | Times Cited: 80
Research progress in the screening and evaluation of umami peptides
Lulu Qi, Xinchang Gao, Daodong Pan, et al.
Comprehensive Reviews in Food Science and Food Safety (2022) Vol. 21, Iss. 2, pp. 1462-1490
Closed Access | Times Cited: 60
Geometric deep learning as a potential tool for antimicrobial peptide prediction
Fabiano C. Fernandes, Marlon H. Cardoso, Abel Gil-Ley, et al.
Frontiers in Bioinformatics (2023) Vol. 3
Open Access | Times Cited: 25
iAMP-Attenpred: a novel antimicrobial peptide predictor based on BERT feature extraction method and CNN-BiLSTM-Attention combination model
Wenxuan Xing, Jie Zhang, Chen Li, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 22
Recent advances and applications of deep learning, electroencephalography, and modern analysis techniques in screening, evaluation, and mechanistic analysis of taste peptides
Lijun Su, Huizhuo Ji, Jianlei Kong, et al.
Trends in Food Science & Technology (2024) Vol. 150, pp. 104607-104607
Closed Access | Times Cited: 12
ACP-CLB: An Anticancer Peptide Prediction Model Based on Multichannel Discriminative Processing and Integration of Large Pretrained Protein Language Models
Aoyun Geng, Zhenjie Luo, Aohan Li, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access | Times Cited: 1
Chemical toxicity prediction based on semi-supervised learning and graph convolutional neural network
Jiarui Chen, Yain‐Whar Si, Chon-Wai Un, et al.
Journal of Cheminformatics (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 46
IP-GCN: A Deep Learning Model for Prediction of Insulin using Graph Convolutional Network for Diabetes Drug Design
Farman Ali, Majdi Khalid, Abdullah Almuhaimeed, et al.
Journal of Computational Science (2024) Vol. 81, pp. 102388-102388
Closed Access | Times Cited: 7
ACPScanner: Prediction of Anticancer Peptides by Integrated Machine Learning Methodologies
Guolun Zhong, Lei Deng
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 3, pp. 1092-1104
Closed Access | Times Cited: 6
A comprehensive review on recent approaches for cancer drug discovery associated with artificial intelligence
Sanjeevi Pandiyan, Li Wang
Computers in Biology and Medicine (2022) Vol. 150, pp. 106140-106140
Closed Access | Times Cited: 25
ACP-BC: A Model for Accurate Identification of Anticancer Peptides Based on Fusion Features of Bidirectional Long Short-Term Memory and Chemically Derived Information
Mingwei Sun, Haoyuan Hu, Wei Pang, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 20, pp. 15447-15447
Open Access | Times Cited: 14
ACP-check: An anticancer peptide prediction model based on bidirectional long short-term memory and multi-features fusion strategy
Lun Zhu, Chenyang Ye, Xuemei Hu, et al.
Computers in Biology and Medicine (2022) Vol. 148, pp. 105868-105868
Closed Access | Times Cited: 20
Comprehensive Analysis of Computational Models for Prediction of Anticancer Peptides Using Machine Learning and Deep Learning
Farman Ali, Norazlin Ibrahim, Raed Alsini, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access
ACP-ESM2: The prediction of anticancer peptides based on pre-trained classifier
Huijia Song, Xiaozhu Lin, Huainian Zhang, et al.
Computational Biology and Chemistry (2024) Vol. 110, pp. 108091-108091
Closed Access | Times Cited: 3
DLFF-ACP: prediction of ACPs based on deep learning and multi-view features fusion
Ruifen Cao, Meng Wang, Yannan Bin, et al.
PeerJ (2021) Vol. 9, pp. e11906-e11906
Open Access | Times Cited: 19
Anti-cancer Peptide Recognition Based on Grouped Sequence and Spatial Dimension Integrated Networks
Hongfeng You, Long Yu, Shengwei Tian, et al.
Interdisciplinary Sciences Computational Life Sciences (2021) Vol. 14, Iss. 1, pp. 196-208
Closed Access | Times Cited: 10
Integrating multiple sequence features for identifying anticancer peptides
Hongliang Zou, Fan Yang, Zhijian Yin
Computational Biology and Chemistry (2022) Vol. 99, pp. 107711-107711
Closed Access | Times Cited: 3
Chemical Toxicity Prediction Based on Semi-supervised Learning and Graph Convolutional Neural Network
Jiarui Chen, Yain‐Whar Si, Chon-Wai Un, et al.
Research Square (Research Square) (2021)
Open Access | Times Cited: 4
CTD-Global (CTD-G): A novel composition, transition, and distribution based peptide sequence encoder for hormone peptide prediction
Hina Ghafoor, Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, et al.
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101578-101578
Open Access
Host Defense Peptides: Exploiting an Innate Immune Component Against Infectious Diseases and Cancer
Taiwo Scholes Adewole, Oladiran Boniface Oladokun, Adenike Kuku
International Journal of Peptide Research and Therapeutics (2024) Vol. 30, Iss. 6
Closed Access
TF-BAPred: A Universal Bioactive Peptide Predictor Integrating Multiple Feature Representations
Zhenming Wu, Xiaoyu Guo, Yangyang Sun, et al.
Mathematics (2024) Vol. 12, Iss. 22, pp. 3618-3618
Open Access
Targeting TFF3 in obstructive airway diseases: a computational approach to novel therapeutics
Alireza Shahriary, Mohsen Sisakht, Masoud Arabfard, et al.
Research Square (Research Square) (2024)
Open Access
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