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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:

Identification of apolipoprotein using feature selection technique
Hua Tang, Ping Zou, Chunmei Zhang, et al.
Scientific Reports (2016) Vol. 6, Iss. 1
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Survey of Machine Learning Techniques in Drug Discovery
Natalie Stephenson, Emily Shane, Jessica Chase, et al.
Current Drug Metabolism (2018) Vol. 20, Iss. 3, pp. 185-193
Closed Access | Times Cited: 211
iRNA-3typeA: Identifying Three Types of Modification at RNA’s Adenosine Sites
Wei Chen, Pengmian Feng, Hui Yang, et al.
Molecular Therapy — Nucleic Acids (2018) Vol. 11, pp. 468-474
Open Access | Times Cited: 181
Fast Prediction of Protein Methylation Sites Using a Sequence-Based Feature Selection Technique
Leyi Wei, Pengwei Xing, Gaotao Shi, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2017) Vol. 16, Iss. 4, pp. 1264-1273
Closed Access | Times Cited: 180
HBPred: a tool to identify growth hormone-binding proteins
Hua Tang, Ya-Wei Zhao, Ping Zou, et al.
International Journal of Biological Sciences (2018) Vol. 14, Iss. 8, pp. 957-964
Open Access | Times Cited: 172
iRSpot-Pse6NC: Identifying recombination spots in Saccharomyces cerevisiae by incorporating hexamer composition into general PseKNC
Hui Yang, Wang‐Ren Qiu, Guoqing Liu, et al.
International Journal of Biological Sciences (2018) Vol. 14, Iss. 8, pp. 883-891
Open Access | Times Cited: 142
Machine learning techniques for protein function prediction
Rosalin Bonetta, Gianluca Valentino
Proteins Structure Function and Bioinformatics (2019) Vol. 88, Iss. 3, pp. 397-413
Closed Access | Times Cited: 134
PhosPred-RF: A Novel Sequence-Based Predictor for Phosphorylation Sites Using Sequential Information Only
Leyi Wei, Pengwei Xing, Jijun Tang, et al.
IEEE Transactions on NanoBioscience (2017) Vol. 16, Iss. 4, pp. 240-247
Closed Access | Times Cited: 117
A Novel Hybrid Sequence-Based Model for Identifying Anticancer Peptides
Lei Xu, Guangmin Liang, Longjie Wang, et al.
Genes (2018) Vol. 9, Iss. 3, pp. 158-158
Open Access | Times Cited: 108
A Review of DNA-binding Proteins Prediction Methods
Kaiyang Qu, Leyi Wei, Quan Zou
Current Bioinformatics (2018) Vol. 14, Iss. 3, pp. 246-254
Closed Access | Times Cited: 89
A Two-Level Computation Model Based on Deep Learning Algorithm for Identification of piRNA and Their Functions via Chou’s 5-Steps Rule
Salman Khan, Mukhtaj Khan, Nadeem Iqbal, et al.
International Journal of Peptide Research and Therapeutics (2019) Vol. 26, Iss. 2, pp. 795-809
Closed Access | Times Cited: 83
ACP-2DCNN: Deep learning-based model for improving prediction of anticancer peptides using two-dimensional convolutional neural network
Ali Ghulam, Farman Ali, Rahu Sikander, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 226, pp. 104589-104589
Closed Access | Times Cited: 53
Improving Tumor Targeting and Penetration for Nanoparticle‐Mediated Cancer Therapy
Zhangyi Luo, Chien‐Yu Chen, Song Li
Small Methods (2025)
Open Access | Times Cited: 1
PSBinder: A Web Service for Predicting Polystyrene Surface-Binding Peptides
Ning Li, Juanjuan Kang, Lixu Jiang, et al.
BioMed Research International (2017) Vol. 2017, pp. 1-5
Open Access | Times Cited: 73
iRSpot-SPI: Deep learning-based recombination spots prediction by incorporating secondary sequence information coupled with physio-chemical properties via Chou's 5-step rule and pseudo components
Zaheer Ullah Khan, Farman Ali, Izhar Ahmed Khan, et al.
Chemometrics and Intelligent Laboratory Systems (2019) Vol. 189, pp. 169-180
Closed Access | Times Cited: 67
Recent Advances in Conotoxin Classification by Using Machine Learning Methods
Fanny Dao, Hui Yang, Zhendong Su, et al.
Molecules (2017) Vol. 22, Iss. 7, pp. 1057-1057
Open Access | Times Cited: 63
The Yin and Yang of the protein corona on the delivery journey of nanoparticles
Yifeng Wang, Yaxin Zhou, Jiabei Sun, et al.
Nano Research (2022) Vol. 16, Iss. 1, pp. 715-734
Open Access | Times Cited: 31
Sequence based predictor for discrimination of enhancer and their types by applying general form of Chou's trinucleotide composition
Muhammad Tahir, Maqsood Hayat, Muhammad Kabir
Computer Methods and Programs in Biomedicine (2017) Vol. 146, pp. 69-75
Closed Access | Times Cited: 55
iRSpot-SF: Prediction of recombination hotspots by incorporating sequence based features into Chou's Pseudo components
M. Maruf, Swakkhar Shatabda
Genomics (2018) Vol. 111, Iss. 4, pp. 966-972
Open Access | Times Cited: 50
EnhancerPred2.0: predicting enhancers and their strength based on position-specific trinucleotide propensity and electron–ion interaction potential feature selection
Wenying He, Cangzhi Jia
Molecular BioSystems (2017) Vol. 13, Iss. 4, pp. 767-774
Closed Access | Times Cited: 46
A novel feature ranking method for prediction of cancer stages using proteomics data
Ehsan Saghapour, Saeed Kermani, Mohammadreza Sehhati
PLoS ONE (2017) Vol. 12, Iss. 9, pp. e0184203-e0184203
Open Access | Times Cited: 37
Prediction of Recombination Spots Using Novel Hybrid Feature Extraction Method via Deep Learning Approach
Fatima Khan, Mukhtaj Khan, Nadeem Iqbal, et al.
Frontiers in Genetics (2020) Vol. 11
Open Access | Times Cited: 29
iAFP-gap-SMOTE: An Efficient Feature Extraction Scheme Gapped Dipeptide Composition is Coupled with an Oversampling Technique for Identification of Antifreeze Proteins
Shahid Akbar, Maqsood Hayat, Muhammad Kabir, et al.
Letters in Organic Chemistry (2018) Vol. 16, Iss. 4, pp. 294-302
Closed Access | Times Cited: 30
A computational method for prediction of xylanase enzymes activity in strains of Bacillus subtilis based on pseudo amino acid composition features
Shohreh Ariaeenejad, Maryam Mousivand, Parinaz Moradi Dezfouli, et al.
PLoS ONE (2018) Vol. 13, Iss. 10, pp. e0205796-e0205796
Open Access | Times Cited: 29
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: 19
Identification of Inhibitors of MMPS Enzymes via a Novel Computational Approach
Jian Song, Jijun Tang, Fei Guo
International Journal of Biological Sciences (2018) Vol. 14, Iss. 8, pp. 863-871
Open Access | Times Cited: 18
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