Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

GTB-PPI: Predict Protein–Protein Interactions Based on L1-Regularized Logistic Regression and Gradient Tree Boosting
Bin Yu, Cheng Chen, Hongyan Zhou, et al.
Genomics Proteomics & Bioinformatics (2020) Vol. 18, Iss. 5, pp. 582-592
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning
Md Mehedi Hasan, Md. Ashad Alam, Watshara Shoombuatong, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 78
Prediction of protein–protein interactions based on elastic net and deep forest
Bin Yu, Cheng Chen, Xiaolin Wang, et al.
Expert Systems with Applications (2021) Vol. 176, pp. 114876-114876
Open Access | Times Cited: 67
SDNN-PPI: self-attention with deep neural network effect on protein-protein interaction prediction
Xue Li, Peifu Han, Wang Gan, et al.
BMC Genomics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 59
MARPPI: boosting prediction of protein–protein interactions with multi-scale architecture residual network
Xue Li, Peifu Han, Wenqi Chen, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 43
Computational approaches for the design of modulators targeting protein-protein interactions
Ashfaq Ur Rehman, Beenish Khurshid, Yasir Ali, et al.
Expert Opinion on Drug Discovery (2023) Vol. 18, Iss. 3, pp. 315-333
Open Access | Times Cited: 35
Prediction of protein-protein interaction sites through eXtreme gradient boosting with kernel principal component analysis
Xue Wang, Yaqun Zhang, Bin Yu, et al.
Computers in Biology and Medicine (2021) Vol. 134, pp. 104516-104516
Closed Access | Times Cited: 53
Recent advances in predicting protein–protein interactions with the aid of artificial intelligence algorithms
Shiwei Li, Sanan Wu, Lin Wang, et al.
Current Opinion in Structural Biology (2022) Vol. 73, pp. 102344-102344
Closed Access | Times Cited: 36
Advances in Computational Methods for Protein–Protein Interaction Prediction
Lei Xian, Yansu Wang
Electronics (2024) Vol. 13, Iss. 6, pp. 1059-1059
Open Access | Times Cited: 7
Deep Neural Network and Extreme Gradient Boosting Based Hybrid Classifier for Improved Prediction of Protein-Protein Interaction
Satyajit Mahapatra, Vivek Raj Gupta, Sitanshu Sekhar Sahu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 1, pp. 155-165
Closed Access | Times Cited: 34
RPI-MDLStack: Predicting RNA–protein interactions through deep learning with stacking strategy and LASSO
Bin Yu, Xue Wang, Yaqun Zhang, et al.
Applied Soft Computing (2022) Vol. 120, pp. 108676-108676
Closed Access | Times Cited: 28
Prediction of protein-protein interactions based on ensemble residual convolutional neural network
Hongli Gao, Cheng Chen, Shuangyi Li, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106471-106471
Closed Access | Times Cited: 27
DeepCF-PPI: improved prediction of protein-protein interactions by combining learned and handcrafted features based on attention mechanisms
Hoai-Nhan Tran, Quynh Nguyen Phuc Xuan, Tuong Tri Nguyen
Applied Intelligence (2023) Vol. 53, Iss. 14, pp. 17887-17902
Closed Access | Times Cited: 15
Prediction of Protein–Protein Interactions Based on Integrating Deep Learning and Feature Fusion
Hoai-Nhan Tran, Phuc-Xuan-Quynh Nguyen, Fei Guo, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 11, pp. 5820-5820
Open Access | Times Cited: 5
Machine learning for drug repositioning: Recent advances and challenges
Lijun Cai, Jiaxin Chu, Junlin Xu, et al.
Current Research in Chemical Biology (2023) Vol. 3, pp. 100042-100042
Open Access | Times Cited: 11
Supervised learning approaches for predicting Ebola-Human Protein-Protein interactions
Lopamudra Dey, Sanjay Chakraborty
Gene (2025) Vol. 942, pp. 149228-149228
Closed Access
Prediction of influenza A virus-human protein-protein interactions using XGBoost with continuous and discontinuous amino acids information
Binghua Li, Xin Li, Xiaoyu Li, et al.
PeerJ (2025) Vol. 13, pp. e18863-e18863
Open Access
A New Structure Feature Introduced to Predict Protein–Protein Interaction Sites
Ling Lai, Jing Geng, Huilong Duan, et al.
Journal of Computational Biology (2025)
Closed Access
Revolutionary Cancer Therapy for Personalization and Improved Efficacy: Strategies to Overcome Resistance to Immune Checkpoint Inhibitor Therapy
Saud Almawash
Cancers (2025) Vol. 17, Iss. 5, pp. 880-880
Open Access
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
Carmna: classification and regression models for nitrogenase activity based on a pretrained large protein language model
Anqiang Ye, Jiyun Zhang, Qian Xu, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
DBGRU-SE: predicting drug–drug interactions based on double BiGRU and squeeze-and-excitation attention mechanism
Mingxiang Zhang, Hongli Gao, Xin Liao, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 9
Protein-protein interaction prediction using enhanced features with spaced conjoint triad and amino acid pairwise distance
Yunus Emre Göktepe
PeerJ Computer Science (2025) Vol. 11, pp. e2748-e2748
Open Access
Boosting Drug-Disease Association Prediction for Drug Repositioning via Dual-Feature Extraction and Cross-Dual-Domain Decoding
Enqiang Zhu, Xiang Li, Chanjuan Liu, et al.
Journal of Chemical Information and Modeling (2025)
Open Access
Predicting the multi-label protein subcellular localization through multi-information fusion and MLSI dimensionality reduction based on MLFE classifier
Yushuang Liu, Shuping Jin, Hongli Gao, et al.
Bioinformatics (2021) Vol. 38, Iss. 5, pp. 1223-1230
Open Access | Times Cited: 19
Identification of DNA modification sites based on elastic net and bidirectional gated recurrent unit with convolutional neural network
Bin Yu, Yaqun Zhang, Xue Wang, et al.
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103566-103566
Closed Access | Times Cited: 13
Page 1 - Next Page

Scroll to top