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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:

Improved prediction of protein–protein interactions using novel negative samples, features, and an ensemble classifier
Leyi Wei, Pengwei Xing, Jiancang Zeng, et al.
Artificial Intelligence in Medicine (2017) Vol. 83, pp. 67-74
Closed Access | Times Cited: 229

Showing 26-50 of 229 citing articles:

Identification of drug–target interactions via multiple kernel-based triple collaborative matrix factorization
Yijie Ding, Jijun Tang, Fei Guo, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 2
Closed Access | Times Cited: 63
CRBPDL: Identification of circRNA-RBP interaction sites using an ensemble neural network approach
Mengting Niu, Quan Zou, Chen Lin
PLoS Computational Biology (2022) Vol. 18, Iss. 1, pp. e1009798-e1009798
Open Access | Times Cited: 45
Golgi_DF: Golgi proteins classification with deep forest
Wenzheng Bao, Yujian Gu, Baitong Chen, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 38
Identifying N6-methyladenosine sites using multi-interval nucleotide pair position specificity and support vector machine
Pengwei Xing, Ran Su, Fei Guo, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 86
SemBioNLQA: A semantic biomedical question answering system for retrieving exact and ideal answers to natural language questions
Mourad Sarrouti, Saïd Ouatik El Alaoui
Artificial Intelligence in Medicine (2019) Vol. 102, pp. 101767-101767
Closed Access | Times Cited: 73
Drug-Target Interaction Prediction through Label Propagation with Linear Neighborhood Information
Wen Zhang, Yanlin Chen, Dingfang Li
Molecules (2017) Vol. 22, Iss. 12, pp. 2056-2056
Open Access | Times Cited: 72
Integration of data mining classification techniques and ensemble learning to identify risk factors and diagnose ovarian cancer recurrence
Chih‐Jen Tseng, Chi-Jie Lu, Chi‐Chang Chang, et al.
Artificial Intelligence in Medicine (2017) Vol. 78, pp. 47-54
Closed Access | Times Cited: 70
Computational Methods for Predicting Protein‐Protein Interactions Using Various Protein Features
Ziyun Ding, Daisuke Kihara
Current Protocols in Protein Science (2018) Vol. 93, Iss. 1
Open Access | Times Cited: 61
A Convolutional Neural Network Using Dinucleotide One-hot Encoder for identifying DNA N6-Methyladenine Sites in the Rice Genome
Zhibin Lv, Hui Ding, Lei Wang, et al.
Neurocomputing (2020) Vol. 422, pp. 214-221
Closed Access | Times Cited: 60
Cppsite 2.0: An Available Database of Experimentally Validated Cell-Penetrating Peptides Predicting their Secondary and Tertiary Structures
Kimia Kardani, Azam Bolhassani
Journal of Molecular Biology (2020) Vol. 433, Iss. 11, pp. 166703-166703
Open Access | Times Cited: 60
Sequence representation approaches for sequence-based protein prediction tasks that use deep learning
Feifei Cui, Zilong Zhang, Quan Zou
Briefings in Functional Genomics (2020) Vol. 20, Iss. 1, pp. 61-73
Closed Access | Times Cited: 60
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
Escherichia Coli DNA N-4-Methycytosine Site Prediction Accuracy Improved by Light Gradient Boosting Machine Feature Selection Technology
Zhibin Lv, Donghua Wang, Hui Ding, et al.
IEEE Access (2020) Vol. 8, pp. 14851-14859
Open Access | Times Cited: 53
A KNN Model Based on Manhattan Distance to Identify the SNARE Proteins
Xing Gao, Guilin Li
IEEE Access (2020) Vol. 8, pp. 112922-112931
Open Access | Times Cited: 53
Application of Machine Learning for Drug–Target Interaction Prediction
Lei Xu, Xiaoqing Ru, Rong Song
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 50
Advances in the Identification of Circular RNAs and Research Into circRNAs in Human Diseases
Shihu Jiao, Song Wu, Shan Huang, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 46
RFhy-m2G: Identification of RNA N2-methylguanosine modification sites based on random forest and hybrid features
Chunyan Ao, Quan Zou, Liang Yu
Methods (2021) Vol. 203, pp. 32-39
Closed Access | Times Cited: 43
Machine learning model for predicting the length of stay in the intensive care unit for Covid-19 patients in the eastern province of Saudi Arabia
Dina A. Alabbad, Abdullah M. Almuhaideb, Shikah J. Alsunaidi, et al.
Informatics in Medicine Unlocked (2022) Vol. 30, pp. 100937-100937
Open Access | Times Cited: 29
SpatialPPI: Three-dimensional space protein-protein interaction prediction with AlphaFold Multimer
Wenxing Hu, Masahito Ohue
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1214-1225
Open Access | Times Cited: 7
Predicting protein–protein interactions by fusing various Chou's pseudo components and using wavelet denoising approach
Baoguang Tian, Xue Wu, Cheng Chen, et al.
Journal of Theoretical Biology (2018) Vol. 462, pp. 329-346
Open Access | Times Cited: 56
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
Predict New Therapeutic Drugs for Hepatocellular Carcinoma Based on Gene Mutation and Expression
Liang Yu, Fengdan Xu, Lin Gao
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 47
Discrimination of Thermophilic Proteins and Non-thermophilic Proteins Using Feature Dimension Reduction
Zi-Fan Guo, Pingping Wang, Zhendong Liu, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 47
Prediction of m5C Modifications in RNA Sequences by Combining Multiple Sequence Features
Lijun Dou, Xiaoling Li, Hui Ding, et al.
Molecular Therapy — Nucleic Acids (2020) Vol. 21, pp. 332-342
Open Access | Times Cited: 39
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

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