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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:

BioSeq-Diabolo: Biological sequence similarity analysis using Diabolo
Hongliang Li, Bin Liu
PLoS Computational Biology (2023) Vol. 19, Iss. 6, pp. e1011214-e1011214
Open Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

AIPs-DeepEnC-GA: Predicting Anti-inflammatory Peptides using Embedded Evolutionary and Sequential Feature Integration with Genetic Algorithm based Deep Ensemble Model
Ali Raza, Jamal Uddin, Quan Zou, et al.
Chemometrics and Intelligent Laboratory Systems (2024), pp. 105239-105239
Closed Access | Times Cited: 22
A computational model of circRNA-associated diseases based on a graph neural network: prediction and case studies for follow-up experimental validation
Mengting Niu, Chunyu Wang, Zhanguo Zhang, et al.
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 15
DisoFLAG: accurate prediction of protein intrinsic disorder and its functions using graph-based interaction protein language model
Yihe Pang, Bin Liu
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 14
GraphormerDTI: A graph transformer-based approach for drug-target interaction prediction
Mengmeng Gao, Daokun Zhang, Yi Chen, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108339-108339
Open Access | Times Cited: 14
Prediction of blood–brain barrier penetrating peptides based on data augmentation with Augur
Zhi-Feng Gu, Yu-Duo Hao, Tianyu Wang, et al.
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 12
Identification of microbe–disease signed associations via multi-scale variational graph autoencoder based on signed message propagation
Huan Zhu, Hongxia Hao, Liang Yu
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 12
CODENET: A deep learning model for COVID-19 detection
Hong Ju, Yanyan Cui, Qiaosen Su, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108229-108229
Closed Access | Times Cited: 11
MIBPred: Ensemble Learning-Based Metal Ion-Binding Protein Classifier
Hongqi Zhang, Shanghua Liu, Rui Li, et al.
ACS Omega (2024)
Open Access | Times Cited: 10
Integrated convolution and self-attention for improving peptide toxicity prediction
Shihu Jiao, Xiucai Ye, Tetsuya Sakurai, et al.
Bioinformatics (2024) Vol. 40, Iss. 5
Open Access | Times Cited: 9
msBERT-Promoter: a multi-scale ensemble predictor based on BERT pre-trained model for the two-stage prediction of DNA promoters and their strengths
Yazi Li, Xiaoman Wei, Qinglin Yang, et al.
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 9
iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction
Lin Yuan, Jiawang Zhao, Zhen Shen, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 8, pp. e1011344-e1011344
Open Access | Times Cited: 18
ACVPred: Enhanced prediction of anti-coronavirus peptides by transfer learning combined with data augmentation
Yi Xu, Tianyuan Liu, Yu Yang, et al.
Future Generation Computer Systems (2024) Vol. 160, pp. 305-315
Closed Access | Times Cited: 6
Moss-m7G: A Motif-Based Interpretable Deep Learning Method for RNA N7-Methlguanosine Site Prediction
Yanxi Zhao, Junru Jin, Wenjia Gao, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 15, pp. 6230-6240
Closed Access | Times Cited: 5
MFD–GDrug: multimodal feature fusion-based deep learning for GPCR–drug interaction prediction
Xingyue Gu, Junkai Liu, Yue Yu, et al.
Methods (2024) Vol. 223, pp. 75-82
Closed Access | Times Cited: 4
Prediction of cancer drug combinations based on multidrug learning and cancer expression information injection
Shujie Ren, Chen Lü, Hongxia Hao, et al.
Future Generation Computer Systems (2024) Vol. 160, pp. 798-807
Closed Access | Times Cited: 4
TPpred-SC: multi-functional therapeutic peptide prediction based on multi-label supervised contrastive learning
Ke Yan, Hongwu Lv, Jiangyi Shao, et al.
Science China Information Sciences (2024) Vol. 67, Iss. 11
Closed Access | Times Cited: 4
SpaCcLink: exploring downstream signaling regulations with graph attention network for systematic inference of spatial cell–cell communication
Jianwen Liu, Li‐Tian Ma, Fen Ju, et al.
BMC Biology (2025) Vol. 23, Iss. 1
Open Access
MGDM: Molecular generation using a multinomial diffusion model
Sisi Yuan, Chen Zhao, Jiuyong Li, et al.
Methods (2025)
Closed Access
Cancer Drug Sensitivity Prediction Based on Deep Transfer Learning
Weilin Meng, Xinyu Xu, Zhichao Xiao, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 6, pp. 2468-2468
Open Access
DrugPred: An ensemble learning model based on ESM2 for predicting potential druggable proteins
Hongqi Zhang, Shanghua Liu, Jun-Wen Yu, et al.
Future Generation Computer Systems (2025), pp. 107801-107801
Closed Access
Prediction of lncRNA-miRNA interaction based on sequence and structural information of potential binding site
Dan-Yang Qi, Chengyan Wu, Zhihong Hao, et al.
International Journal of Biological Macromolecules (2025), pp. 142255-142255
Closed Access
HNF-DDA: subgraph contrastive-driven transformer-style heterogeneous network embedding for drug–disease association prediction
Yifan Shang, Zixu Wang, Yangyang Chen, et al.
BMC Biology (2025) Vol. 23, Iss. 1
Open Access
Multiscale graph equivariant diffusion model for 3D molecule design
Lu Chen, Yan Li, Yanjie Ma, et al.
Science Advances (2025) Vol. 11, Iss. 16
Closed Access
NeuroPred-AIMP: Multimodal Deep Learning for Neuropeptide Prediction via Protein Language Modeling and Temporal Convolutional Networks
Jinjin Li, Shuwen Xiong, Hua Shi, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
DGCLCMI: a deep graph collaboration learning method to predict circRNA-miRNA interactions
Chao Cao, Mengli Li, Chunyu Wang, et al.
BMC Biology (2025) Vol. 23, Iss. 1
Open Access
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