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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:

ELM-MHC: An Improved MHC Identification Method with Extreme Learning Machine Algorithm
Yanjuan Li, Mengting Niu, Quan Zou
Journal of Proteome Research (2019) Vol. 18, Iss. 3, pp. 1392-1401
Closed Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer Peptides
Vinothini Boopathi, Sathiyamoorthy Subramaniyam, Adeel Malik, et al.
International Journal of Molecular Sciences (2019) Vol. 20, Iss. 8, pp. 1964-1964
Open Access | Times Cited: 167
An Interpretable Prediction Model for Identifying N7-Methylguanosine Sites Based on XGBoost and SHAP
Yue Bi, Dongxu Xiang, Zongyuan Ge, et al.
Molecular Therapy — Nucleic Acids (2020) Vol. 22, pp. 362-372
Open Access | Times Cited: 138
ACPred-Fuse: fusing multi-view information improves the prediction of anticancer peptides
B. Dharma Rao, Chen Zhou, Guoying Zhang, et al.
Briefings in Bioinformatics (2019) Vol. 21, Iss. 5, pp. 1846-1855
Closed Access | Times Cited: 142
A Random Forest Sub-Golgi Protein Classifier Optimized via Dipeptide and Amino Acid Composition Features
Zhibin Lv, Shunshan Jin, Hui Ding, et al.
Frontiers in Bioengineering and Biotechnology (2019) Vol. 7
Open Access | Times Cited: 106
Predicting Thermophilic Proteins by Machine Learning
Xianfang Wang, Peng Gao, Yifeng Liu, et al.
Current Bioinformatics (2020) Vol. 15, Iss. 5, pp. 493-502
Closed Access | Times Cited: 99
Applying artificial intelligence for cancer immunotherapy
Zhijie Xu, Xiang Wang, Shuangshuang Zeng, et al.
Acta Pharmaceutica Sinica B (2021) Vol. 11, Iss. 11, pp. 3393-3405
Open Access | Times Cited: 64
AOPs-SVM: A Sequence-Based Classifier of Antioxidant Proteins Using a Support Vector Machine
Chaolu Meng, Shunshan Jin, Lei Wang, et al.
Frontiers in Bioengineering and Biotechnology (2019) Vol. 7
Open Access | Times Cited: 70
ECFS-DEA: an ensemble classifier-based feature selection for differential expression analysis on expression profiles
Xudong Zhao, Qing Jiao, Hangyu Li, et al.
BMC Bioinformatics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 68
The combination of artificial intelligence and systems biology for intelligent vaccine design
Giulia Russo, Pedro A. Reche, Marzio Pennisi, et al.
Expert Opinion on Drug Discovery (2020) Vol. 15, Iss. 11, pp. 1267-1281
Open Access | Times Cited: 51
Could artificial intelligence revolutionize the development of nanovectors for gene therapy and mRNA vaccines?
Akbar Hasanzadeh, Michael R. Hamblin, Jafar Kiani, et al.
Nano Today (2022) Vol. 47, pp. 101665-101665
Open Access | Times Cited: 35
Artificial intelligence for prediction of response to cancer immunotherapy
Yuhan Yang, Yunuo Zhao, Xici Liu, et al.
Seminars in Cancer Biology (2022) Vol. 87, pp. 137-147
Closed Access | Times Cited: 32
Inspector: a lysine succinylation predictor based on edited nearest-neighbor undersampling and adaptive synthetic oversampling
Yan Zhu, Cangzhi Jia, Fuyi Li, et al.
Analytical Biochemistry (2020) Vol. 593, pp. 113592-113592
Closed Access | Times Cited: 49
iTTCA-RF: a random forest predictor for tumor T cell antigens
Shihu Jiao, Quan Zou, Huannan Guo, et al.
Journal of Translational Medicine (2021) Vol. 19, Iss. 1
Open Access | Times Cited: 39
Integrated Framework of Total Organic Carbon (TOC) Content Prediction and Application in Shale
Lu Qiao, Shengyu Yang, Qinhong Hu, et al.
Geoenergy Science and Engineering (2025), pp. 213811-213811
Closed Access
PLM-IL4: Enhancing IL-4-inducing Peptide Prediction with Protein Language Model
Ruiqi Liu, Shankai Yan, Zilong Zhang, et al.
Computational Biology and Chemistry (2025), pp. 108448-108448
Closed Access
ATC-NLSP: Prediction of the Classes of Anatomical Therapeutic Chemicals Using a Network-Based Label Space Partition Method
Xiangeng Wang, Yanjing Wang, Zhenyu Xu, et al.
Frontiers in Pharmacology (2019) Vol. 10
Open Access | Times Cited: 38
Artificial intelligence and immunotherapy
Parnian Jabbari, Nima Rezaei
Expert Review of Clinical Immunology (2019) Vol. 15, Iss. 7, pp. 689-691
Open Access | Times Cited: 36
Identifying Plant Pentatricopeptide Repeat Proteins Using a Variable Selection Method
Xudong Zhao, Hanxu Wang, Hangyu Li, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 28
Exploring novel and potent cell penetrating peptides in the proteome of SARS-COV-2 using bioinformatics approaches
Kimia Kardani, Azam Bolhassani
PLoS ONE (2021) Vol. 16, Iss. 2, pp. e0247396-e0247396
Open Access | Times Cited: 23
Identification of Methicillin-Resistant Staphylococcus Aureus From Methicillin-Sensitive Staphylococcus Aureus and Molecular Characterization in Quanzhou, China
Zhimin Bai, Min Chen, Qiaofa Lin, et al.
Frontiers in Cell and Developmental Biology (2021) Vol. 9
Open Access | Times Cited: 20
Leveraging State-of-the-Art AI Algorithms in Personalized Oncology: From Transcriptomics to Treatment
Anwar Shams
Diagnostics (2024) Vol. 14, Iss. 19, pp. 2174-2174
Open Access | Times Cited: 2
idenPC-MIIP: identify protein complexes from weighted PPI networks using mutual important interacting partner relation
Zhourun Wu, Qing Liao, Bin Liu
Briefings in Bioinformatics (2020) Vol. 22, Iss. 2, pp. 1972-1983
Closed Access | Times Cited: 19
ApoPred: Identification of Apolipoproteins and Their Subfamilies With Multifarious Features
Ting Liu, Jiamao Chen, Dan Zhang, et al.
Frontiers in Cell and Developmental Biology (2021) Vol. 8
Open Access | Times Cited: 17
Improved Prediction of Cell-Penetrating Peptides via Effective Orchestrating Amino Acid Composition Feature Representation
Xiangzheng Fu, Lixia Ke, Lijun Cai, et al.
IEEE Access (2019) Vol. 7, pp. 163547-163555
Open Access | Times Cited: 16
PredPSD: A Gradient Tree Boosting Approach for Single-Stranded and Double-Stranded DNA Binding Protein Prediction
Changgeng Tan, Tong Wang, Wenyi Yang, et al.
Molecules (2019) Vol. 25, Iss. 1, pp. 98-98
Open Access | Times Cited: 12
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