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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:

A survey of current trends in computational predictions of protein-protein interactions
Yanbin Wang, Zhu‐Hong You, Liping Li, et al.
Frontiers of Computer Science (2020) Vol. 14, Iss. 4
Closed Access | Times Cited: 23

Showing 23 citing articles:

Protein–protein interaction prediction with deep learning: A comprehensive review
Farzan Soleymani, Eric Paquet, Herna L. Viktor, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 5316-5341
Open Access | Times Cited: 102
GAM-MDR: probing miRNA–drug resistance using a graph autoencoder based on random path masking
Zhecheng Zhou, Zhenya Du, Xin Jiang, et al.
Briefings in Functional Genomics (2024) Vol. 23, Iss. 4, pp. 475-483
Closed Access | Times Cited: 19
Spectral clustering on protein-protein interaction networks via constructing affinity matrix using attributed graph embedding
Kamal Berahmand, Elahe Nasiri, Rojiar Pir Mohammadiani, et al.
Computers in Biology and Medicine (2021) Vol. 138, pp. 104933-104933
Closed Access | Times Cited: 96
ProtInteract: A deep learning framework for predicting protein–protein interactions
Farzan Soleymani, Eric Paquet, Herna L. Viktor, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 1324-1348
Open Access | Times Cited: 24
Protein interaction networks: centrality, modularity, dynamics, and applications
Xiangmao Meng, Wen-Kai Li, Xiaoqing Peng, et al.
Frontiers of Computer Science (2021) Vol. 15, Iss. 6
Closed Access | Times Cited: 30
Combining Ensemble Learning and Multi–view Feature Extraction for Protein–protein Interaction Prediction
Tran Hoai-Nhan, Nguyen-Phuc-Xuan Quynh, Vo-Ho Thu-Sang, et al.
Lecture notes in networks and systems (2025), pp. 650-660
Closed Access
Feature fusion with attributed deepwalk for protein–protein interaction prediction
Mei‐Yuan Cao, Suhaila Zainudin, Kauthar Mohd Daud
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Graph convolutional network based virus-human protein-protein interaction prediction for novel viruses
Mehmet Koca, Esmaeil Nourani, Ferda Abbasoğlu, et al.
Computational Biology and Chemistry (2022) Vol. 101, pp. 107755-107755
Closed Access | Times Cited: 10
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: 11
Protein Integrated Network Analysis to Reveal Potential Drug Targets Against Extended Drug-Resistant Mycobacterium tuberculosis XDR1219
Noor ul Ain Zahra, Faiza Jamil, Reaz Uddin
Molecular Biotechnology (2021) Vol. 63, Iss. 12, pp. 1252-1267
Closed Access | Times Cited: 9
State-of-the-art strategies to prioritize Mycobacterium tuberculosis drug targets for drug discovery using a subtractive genomics approach
Adetutu Akinnuwesi, Samuel Egieyeh, Ruben Cloete
Frontiers in Drug Discovery (2023) Vol. 3
Open Access | Times Cited: 3
A Cancer Gene Module Mining Method Based on Bio-Network of Multi-Omics Gene Groups
Chunyu Wang, Ning Zhao, Kai Sun, et al.
Frontiers in Oncology (2020) Vol. 10
Open Access | Times Cited: 5
Predicting Drug-Target Interactions by Node2vec Node Embedding in Molecular Associations Network
Zhan‐Heng Chen, Zhu‐Hong You, Zhen-Hao Guo, et al.
Lecture notes in computer science (2020), pp. 348-358
Closed Access | Times Cited: 5
Machine Learning, Deep Learning and Image Processing for Healthcare: A Crux for Detection and Prediction of Disease
Charu Chhabra, Meghna Sharma
Lecture notes on data engineering and communications technologies (2021), pp. 305-325
Closed Access | Times Cited: 4
Prediction of lncRNA-Disease Associations from Heterogeneous Information Network Based on DeepWalk Embedding Model
Xiaoyu Song, Tong Liu, Zeyang Qiu, et al.
Lecture notes in computer science (2020), pp. 291-300
Closed Access | Times Cited: 3
Combining handcrafted and learned features using deep learning to improve protein-protein interaction prediction performance
Tran Hoai Nhan, Nguyen Phuc Xuan Quynh, Lê Anh Phương
Journal of Information and Telecommunication (2024), pp. 1-22
Open Access
Prediction of Drug-Disease Associations Based on Long Short-Term Memory Network and Gaussian Interaction Profile Kernel
Han-Jing Jiang, Yanbin Wang, Yabing Huang
Communications in computer and information science (2021), pp. 432-444
Closed Access | Times Cited: 3
An enhanced methodology for predicting protein-protein interactions between human and hepatitis C virus via ensemble learning algorithms
Xin Liu, Liang Wang, Chenghao Liang, et al.
Journal of Biomolecular Structure and Dynamics (2021) Vol. 40, Iss. 21, pp. 10592-10602
Closed Access | Times Cited: 3
A MapReduce-Based Parallel Random Forest Approach for Predicting Large-Scale Protein-Protein Interactions
Boya Ji, Zhu‐Hong You, Long Yang, et al.
Lecture notes in computer science (2020), pp. 400-407
Closed Access | Times Cited: 2
Interrelating N-gram based Protein Sequences using LSTMs with Parallel Capsule Routing
Sashank Sridhar, Sowmya Sanagavarapu
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2022), pp. 0145-0151
Closed Access | Times Cited: 1
Predicting Protein-Protein Interactions from Protein Sequence Using Locality Preserving Projections and Rotation Forest
Xinke Zhan, Zhu‐Hong You, Chang-Qing Yu, et al.
Lecture notes in computer science (2020), pp. 121-131
Closed Access
SeqTMPPI: Sequence-Based Transmembrane Protein Interaction Prediction
Han Wang, Jiuhong Jiang, Qiufen Chen, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2020), pp. 96-99
Closed Access
Protein Interaction Prediction on PHI Networks Using Graph Convolution Networks
Mehmet Koca, İlknur Karadenız, Esmaeil Nouranı, et al.
2022 30th Signal Processing and Communications Applications Conference (SIU) (2021), pp. 1-4
Closed Access
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