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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:

Evolution of Sequence-based Bioinformatics Tools for Protein-protein Interaction Prediction
Mst. Shamima Khatun, Watshara Shoombuatong, Md Mehedi Hasan, et al.
Current Genomics (2020) Vol. 21, Iss. 6, pp. 454-463
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Machine learning on small size samples: A synthetic knowledge synthesis
Peter Kokol, Marko Kokol, Sašo Zagoranski
Science Progress (2022) Vol. 105, Iss. 1
Open Access | Times Cited: 161
Cracking the black box of deep sequence-based protein–protein interaction prediction
Judith Bernett, David B. Blumenthal, Markus List
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 22
LSTM-PHV: prediction of human-virus protein–protein interactions by LSTM with word2vec
Sho Tsukiyama, Md Mehedi Hasan, Satoshi Fujii, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 76
Influence of Nonspecific Interactions on Protein Associations: Implications for Biochemistry In Vivo
Germán Rivas, Allen P. Minton
Annual Review of Biochemistry (2022) Vol. 91, Iss. 1, pp. 321-351
Open Access | Times Cited: 32
Decoding the protein–ligand interactions using parallel graph neural networks
Carter Knutson, Mridula Bontha, Jenna A. Bilbrey, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 31
Unsupervised machine learning for identifying important visual features through bag-of-words using histopathology data from chronic kidney disease
Joonsang Lee, Elisa Warner, Salma Shaikhouni, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 29
Artificial intelligence approaches to human-microbiome protein–protein interactions
Hansaim Lim, Fatma Cankara, Chung‐Jung Tsai, et al.
Current Opinion in Structural Biology (2022) Vol. 73, pp. 102328-102328
Open Access | Times Cited: 23
ProIn-Fuse: improved and robust prediction of proinflammatory peptides by fusing of multiple feature representations
Mst. Shamima Khatun, Md Mehedi Hasan, Watshara Shoombuatong, et al.
Journal of Computer-Aided Molecular Design (2020) Vol. 34, Iss. 12, pp. 1229-1236
Closed Access | Times Cited: 36
PredNTS: Improved and Robust Prediction of Nitrotyrosine Sites by Integrating Multiple Sequence Features
Andi Nur Nilamyani, Firda Nurul Auliah, Mohammad Ali Moni, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 5, pp. 2704-2704
Open Access | Times Cited: 18
Protein features fusion using attributed network embedding for predicting protein-protein interaction
Mei‐Yuan Cao, Suhaila Zainudin, Kauthar Mohd Daud
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
Computational Network Inference for Bacterial Interactomics
Katherine James, José Muñoz-Muñoz
mSystems (2022) Vol. 7, Iss. 2
Open Access | Times Cited: 11
Cracking the black box of deep sequence-based protein-protein interaction prediction
Judith Bernett, David B. Blumenthal, Markus List
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5
Clustering-based spatial analysis (CluSA) framework through graph neural network for chronic kidney disease prediction using histopathology images
Joonsang Lee, Elisa Warner, Salma Shaikhouni, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Predicting lysine methylation sites using a convolutional neural network
Austin Spadaro, Alok Sharma, Abdollah Dehzangi
Methods (2024) Vol. 226, pp. 127-132
Closed Access | Times Cited: 1
Hierarchical representation for PPI sites prediction
Michela Quadrini, Sebastian Daberdaku, Carlo Ferrari
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 7
PUP-Fuse: Prediction of Protein Pupylation Sites by Integrating Multiple Sequence Representations
Firda Nurul Auliah, Andi Nur Nilamyani, Watshara Shoombuatong, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 4, pp. 2120-2120
Open Access | Times Cited: 8
LSTM-PHV: Prediction of human-virus protein-protein interactions by LSTM with word2vec
Sho Tsukiyama, Md Mehedi Hasan, Satoshi Fujii, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 7
Prediction of serine phosphorylation sites mapping on Schizosaccharomyces Pombe by fusing three encoding schemes with the random forest classifier
Samme Amena Tasmia, Md. Kaderi Kibria, Khanis Farhana Tuly, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 5
An Improved Computational Prediction Model for Lysine Succinylation Sites Mapping on Homo sapiens by Fusing Three Sequence Encoding Schemes with the Random Forest Classifier
Samme Amena Tasmia, Fee Faysal Ahmed, Parvez Mosharaf, et al.
Current Genomics (2021) Vol. 22, Iss. 2, pp. 122-136
Open Access | Times Cited: 6
Pathogen-driven cancers from a structural perspective: Targeting host-pathogen protein-protein interactions
Emine Sila Ozdemir, Ruth Nussinov
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 2
Methods for Gene Co-expression Network Visualization and Analysis
Carlos Alberto Moreira‐Filho, Sílvia Yumi Bando, Fernanda Bernardi Bertonha, et al.
Springer eBooks (2022), pp. 143-163
Closed Access | Times Cited: 4
A Bioinformatic Approach Based on Systems Biology to Determine the Effects of SARS-CoV-2 Infection in Patients with Hypertrophic Cardiomyopathy
Xiao Han, Fei Wang, Ping Yang, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 4
Protein Features Fusion using Attributed Network Embedding for Predicting Protein-Protein Interaction
Mei‐Yuan Cao, Suhaila Zainudin, Kauthar Mohd Daud
Research Square (Research Square) (2024)
Open Access
Statistical analysis of sequential motifs at biologically relevant protein-protein interfaces
Yair Frank, Ron Unger, Hanoch Senderowitz
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1244-1259
Open Access
Ensemble Learning Model Based on Convolutional Neural Network And Bi-Directional Long Short-Term Memory with Multi-Head Attention for Protein-Protein Interactions Prediction
Lai Zhenghui, Mengshan Li, Chen Qianyong, et al.
(2024)
Closed Access
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