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:

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

Showing 9 citing articles:

Integrating CNN and Bi-LSTM for protein succinylation sites prediction based on Natural Language Processing technique
Thi-Xuan Tran, Nguyen Quoc Khanh Le, Van-Nui Nguyen
Computers in Biology and Medicine (2025) Vol. 186, pp. 109664-109664
Closed Access

FRP-XGBoost: Identification of ferroptosis-related proteins based on multi-view features
Lin Li, Yao Long, Jinkai Liu, et al.
International Journal of Biological Macromolecules (2024) Vol. 262, pp. 130180-130180
Closed Access | Times Cited: 4

Prediction of protein N-terminal acetylation modification sites based on CNN-BiLSTM-attention model
Jinsong Ke, Jianmei Zhao, Hongfei Li, et al.
Computers in Biology and Medicine (2024) Vol. 174, pp. 108330-108330
Closed Access | Times Cited: 3

DeepPTM: Protein Post-translational Modification Prediction from Protein Sequences by Combining Deep Protein Language Model with Vision Transformers
Necla Nisa Soylu, Emre Sefer
Current Bioinformatics (2024) Vol. 19, Iss. 9, pp. 810-824
Closed Access | Times Cited: 1

Graphic Language Representation in Visual Communication Design Based on Two-Way Long- and Short-Memory Model
Bingjing Zhang
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 5

Deep_KsuccSite: A novel deep learning method for the identification of lysine succinylation sites
Xin Liu, Linlin Xu, Yaping Lu, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 4

Succinylated lysine residue prediction revisited
Shehab Ahmed, Zaara T. Rifat, Mohammad Saifur Rahman, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Closed Access

Succinylated lysine residue prediction revisited
Shehab Ahmed, Zaara T. Rifat, Mohammad Saifur Rahman, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access

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