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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:

DeepMal: Accurate prediction of protein malonylation sites by deep neural networks
Minghui Wang, Xiaoqiang Cui, Shan Li, et al.
Chemometrics and Intelligent Laboratory Systems (2020) Vol. 207, pp. 104175-104175
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning
Phasit Charoenkwan, Saeed Ahmed, Chanin Nantasenamat, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 49
StackPDB: Predicting DNA-binding proteins based on XGB-RFE feature optimization and stacked ensemble classifier
Qingmei Zhang, Peishun Liu, Xue Wang, et al.
Applied Soft Computing (2020) Vol. 99, pp. 106921-106921
Open Access | Times Cited: 51
SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins
Saeed Ahmad, Phasit Charoenkwan, Julian M.W. Quinn, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 33
Mini-review: Recent advances in post-translational modification site prediction based on deep learning
Lingkuan Meng, Wai‐Sum Chan, Lei Huang, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 3522-3532
Open Access | Times Cited: 31
Pep-CNN: An improved convolutional neural network for predicting therapeutic peptides
Shengli Zhang, Xinjie Li
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 221, pp. 104490-104490
Closed Access | Times Cited: 23
Malsite-Deep: Prediction of protein malonylation sites through deep learning and multi-information fusion based on NearMiss-2 strategy
Minghui Wang, Lili Song, Yaqun Zhang, et al.
Knowledge-Based Systems (2022) Vol. 240, pp. 108191-108191
Closed Access | Times Cited: 22
Drug–target interaction prediction based on protein features, using wrapper feature selection
Hengame Abbasi Mesrabadi, Karim Faez, Jamshid Pirgazi
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 13
Analysis and review of techniques and tools based on machine learning and deep learning for prediction of lysine malonylation sites in protein sequences
Shahin Ramazi, Seyed Amir Hossein Tabatabaei, Elham Khalili, et al.
Database (2024) Vol. 2024
Open Access | Times Cited: 5
Predicting amyloid proteins using attention-based long short-term memory
Zhuowen Li
PeerJ Computer Science (2025) Vol. 11, pp. e2660-e2660
Open Access
Accurate Prediction of Anti-hypertensive Peptides Based on Convolutional Neural Network and Gated Recurrent unit
Hongyan Shi, Shengli Zhang
Interdisciplinary Sciences Computational Life Sciences (2022) Vol. 14, Iss. 4, pp. 879-894
Closed Access | Times Cited: 20
DeepStack-DTIs: Predicting Drug–Target Interactions Using LightGBM Feature Selection and Deep-Stacked Ensemble Classifier
Yan Zhang, Zhiwen Jiang, Cheng Chen, et al.
Interdisciplinary Sciences Computational Life Sciences (2021) Vol. 14, Iss. 2, pp. 311-330
Closed Access | Times Cited: 25
AMPpred-MFA: An Interpretable Antimicrobial Peptide Predictor with a Stacking Architecture, Multiple Features, and Multihead Attention
Changjiang Li, Quan Zou, Cangzhi Jia, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2393-2404
Closed Access | Times Cited: 9
Deep Learning–Based Advances In Protein Posttranslational Modification Site and Protein Cleavage Prediction
Subash C. Pakhrin, Suresh Pokharel, Hiroto Saigo, et al.
Methods in molecular biology (2022), pp. 285-322
Closed Access | Times Cited: 15
Fertility-LightGBM: A fertility-related protein prediction model by multi-information fusion and light gradient boosting machine
Minghui Wang, Lingling Yue, Xin Yang, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102630-102630
Open Access | Times Cited: 18
Emerging trends in post-translational modification: Shedding light on Glioblastoma multiforme
Smita Kumari, Rohan Gupta, Rashmi K. Ambasta, et al.
Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (2023) Vol. 1878, Iss. 6, pp. 188999-188999
Closed Access | Times Cited: 7
ECA-PHV: Predicting human-virus protein-protein interactions through an interpretable model of effective channel attention mechanism
Minghui Wang, Jiali Lai, Jihua Jia, et al.
Chemometrics and Intelligent Laboratory Systems (2024) Vol. 247, pp. 105103-105103
Closed Access | Times Cited: 2
iACP-GE: accurate identification of anticancer peptides by using gradient boosting decision tree and extra tree
Yunyun Liang, Xiaoqiu Ma
SAR and QSAR in environmental research (2022) Vol. 34, Iss. 1, pp. 1-19
Closed Access | Times Cited: 11
Protein Science Meets Artificial Intelligence: A Systematic Review and a Biochemical Meta-Analysis of an Inter-Field
Jalil Villalobos-Alva, Luis Ochoa-Toledo, Mario Javier Villalobos-Alva, et al.
Frontiers in Bioengineering and Biotechnology (2022) Vol. 10
Open Access | Times Cited: 9
DeepSADPr: A hybrid-learning architecture for serine ADP-ribosylation site prediction
Yutong Sha, Chenglong Ma, Xilin Wei, et al.
Methods (2021) Vol. 203, pp. 575-583
Closed Access | Times Cited: 11
Res-GCN: identification of protein phosphorylation sites using graph convolutional network and residual network
Minghui Wang, Jihua Jia, Fei Xu, et al.
Computational Biology and Chemistry (2024) Vol. 112, pp. 108183-108183
Closed Access | Times Cited: 1
A hybrid feature extraction scheme for efficient malonylation site prediction
Ali Ghanbari Sorkhi, Jamshid Pirgazi, Vahid Ghasemi
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 7
MpsLDA-ProSVM: Predicting multi-label protein subcellular localization by wMLDAe dimensionality reduction and ProSVM classifier
Qi Zhang, Shan Li, Qingmei Zhang, et al.
Chemometrics and Intelligent Laboratory Systems (2020) Vol. 208, pp. 104216-104216
Open Access | Times Cited: 9
BiGRUD-SA: Protein S-sulfenylation sites prediction based on BiGRU and self-attention
Tingting Zhang, Jihua Jia, Cheng Chen, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107145-107145
Closed Access | Times Cited: 3
Prediction of Plant Ubiquitylation Proteins and Sites by Fusing Multiple Features
Meng-Yue Guan, Wang‐Ren Qiu, Qiankun Wang, et al.
Current Bioinformatics (2023) Vol. 19, Iss. 5, pp. 458-469
Open Access | Times Cited: 1
A Predictive Study on the Content of Epigallocatechin Gallate (EGCG) in Yunnan Large Leaf Tea Trees Based on the Nomogram Model
Baijuan Wang, Chunhua Yang, Shihao Zhang, et al.
Agronomy (2023) Vol. 13, Iss. 10, pp. 2475-2475
Open Access | Times Cited: 1
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