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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:

Inspector: a lysine succinylation predictor based on edited nearest-neighbor undersampling and adaptive synthetic oversampling
Yan Zhu, Cangzhi Jia, Fuyi Li, et al.
Analytical Biochemistry (2020) Vol. 593, pp. 113592-113592
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Imbalanced image classification with complement cross entropy
Yechan Kim, Younkwan Lee, Moongu Jeon
Pattern Recognition Letters (2021) Vol. 151, pp. 33-40
Open Access | Times Cited: 66
NUS: Noisy-Sample-Removed Undersampling Scheme for Imbalanced Classification and Application to Credit Card Fraud Detection
Honghao Zhu, MengChu Zhou, Guanjun Liu, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 2, pp. 1793-1804
Closed Access | Times Cited: 30
Credit Card Fraud Detection via Intelligent Sampling and Self-supervised Learning
Chiao-Ting Chen, Chi Lee, Szu-Hao Huang, et al.
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 2, pp. 1-29
Closed Access | Times Cited: 8
Computational identification of eukaryotic promoters based on cascaded deep capsule neural networks
Yan Zhu, Fuyi Li, Dongxu Xiang, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 4
Open Access | Times Cited: 57
RFhy-m2G: Identification of RNA N2-methylguanosine modification sites based on random forest and hybrid features
Chunyan Ao, Quan Zou, Liang Yu
Methods (2021) Vol. 203, pp. 32-39
Closed Access | Times Cited: 43
A brief review of protein–ligand interaction prediction
Lingling Zhao, Yan Zhu, Junjie Wang, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 2831-2838
Open Access | Times Cited: 34
A comprehensive review of the imbalance classification of protein post-translational modifications
Lijun Dou, Fenglong Yang, Lei Xu, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 36
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
Protein post-translational modification by lysine succinylation: Biochemistry, biological implications, and therapeutic opportunities
Zhao Guo, Junfeng Zhen, Xinyuan Liu, et al.
Genes & Diseases (2022) Vol. 10, Iss. 4, pp. 1242-1262
Open Access | Times Cited: 19
Entropy and improved k‐nearest neighbor search based under‐sampling (ENU) method to handle class overlap in imbalanced datasets
Anil Kumar, Dinesh Singh, Rama Shankar Yadav
Concurrency and Computation Practice and Experience (2023) Vol. 36, Iss. 2
Closed Access | Times Cited: 11
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
Synthetic Graphic Well Log Generation Using an Enhanced Deep Learning Workflow: Imbalanced Multiclass Data, Sample Size, and Scalability Challenges
Mohammad Saleh Jamshidi Gohari, Mohammad Emami Niri, Saeid Sadeghnejad, et al.
SPE Journal (2023) Vol. 29, Iss. 01, pp. 1-20
Closed Access | Times Cited: 9
Hybridization of ring theory-based evolutionary algorithm and particle swarm optimization to solve class imbalance problem
Sayan Surya Shaw, Shameem Ahmed, Samir Malakar, et al.
Complex & Intelligent Systems (2021) Vol. 7, Iss. 4, pp. 2069-2091
Open Access | Times Cited: 18
Impact of Lysine Succinylation on the Biology of Fungi
John Adejor, Elisabeth Tumukunde, Guoqi Li, et al.
Current Issues in Molecular Biology (2024) Vol. 46, Iss. 2, pp. 1020-1046
Open Access | Times Cited: 2
mHPpred: Accurate identification of peptide hormones using multi-view feature learning
Shaherin Basith, Vinoth Kumar Sangaraju, Balachandran Manavalan, et al.
Computers in Biology and Medicine (2024) Vol. 183, pp. 109297-109297
Closed Access | Times Cited: 2
MDCAN-Lys: A Model for Predicting Succinylation Sites Based on Multilane Dense Convolutional Attention Network
Huiqing Wang, Hong Sheng Zhao, Zhiliang Yan, et al.
Biomolecules (2021) Vol. 11, Iss. 6, pp. 872-872
Open Access | Times Cited: 16
pSuc-EDBAM: Predicting lysine succinylation sites in proteins based on ensemble dense blocks and an attention module
Jianhua Jia, Genqiang Wu, Meifang Li, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 11
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
A protein succinylation sites prediction method based on the hybrid architecture of LSTM network and CNN
Die Zhang, Shunfang Wang
Journal of Bioinformatics and Computational Biology (2022) Vol. 20, Iss. 02
Closed Access | Times Cited: 9
Multimodal Neural Network System for Skin Cancer Recognition with a Modified Cross-Entropy Loss Function
Pavel Lyakhov, Ulyana A. Lyakhova, Diana I. Kalita
(2023)
Open Access | Times Cited: 5
Multimodal Analysis of Unbalanced Dermatological Data for Skin Cancer Recognition
Pavel Lyakhov, Ulyana A. Lyakhova, Diana I. Kalita
IEEE Access (2023) Vol. 11, pp. 131487-131507
Open Access | Times Cited: 5
Succinylation at a key residue of FEN1 is involved in the DNA damage response to maintain genome stability
Rongyi Shi, Yiyi Wang, Ya Gao, et al.
AJP Cell Physiology (2020) Vol. 319, Iss. 4, pp. C657-C666
Closed Access | Times Cited: 13
A chemical field guide to histone nonenzymatic modifications
Sarah Faulkner, Igor Maksimovic, Yael David
Current Opinion in Chemical Biology (2021) Vol. 63, pp. 180-187
Open Access | Times Cited: 12
Mul-SNO: A Novel Prediction Tool for S-Nitrosylation Sites Based on Deep Learning Methods
Qian Zhao, Jiaqi Ma, Yu Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 5, pp. 2379-2387
Closed Access | Times Cited: 12
HYBRID FEATURE SELECTION AND SUPPORT VECTOR MACHINE FRAMEWORK FOR PREDICTING MAINTENANCE FAILURES
Mouna Tarik, Ayoub Mniai, Khalid Jebari
Applied Computer Science (2023) Vol. 19, Iss. 2, pp. 112-124
Open Access | Times Cited: 4
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