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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:

TransPhos: A Deep-Learning Model for General Phosphorylation Site Prediction Based on Transformer-Encoder Architecture
Xun Wang, Zhiyuan Zhang, Chaogang Zhang, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 8, pp. 4263-4263
Open Access | Times Cited: 22

Showing 22 citing articles:

TranSEFusionNet: Deep fusion network for colorectal polyp segmentation
Yuanyuan Zhang, Lin Liu, Ziyi Han, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105133-105133
Closed Access | Times Cited: 25
PETrans: De Novo Drug Design with Protein-Specific Encoding Based on Transfer Learning
Xun Wang, Changnan Gao, Peifu Han, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 2, pp. 1146-1146
Open Access | Times Cited: 19
DNMG: Deep molecular generative model by fusion of 3D information for de novo drug design
Tao Song, Yongqi Ren, Shuang Wang, et al.
Methods (2023) Vol. 211, pp. 10-22
Open Access | Times Cited: 15
An endoscopic ultrasound-based interpretable deep learning model and nomogram for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer
Yi Nan, Shuangyang Mo, Yan Zhang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Interdisciplinary Approaches to Leverage Biomarker Discovery for Cancer Treatment
Fatemeh Khatami, Nima Rezaei
Interdisciplinary cancer research (2025)
Closed Access
Deep Learning Techniques Applied to Phosphorylation Site Prediction: A Systematic Review
Antônio Carlos da Silva Júnior, André Massahiro Shimaoka, Luciano Rodrigo Lopes, et al.
SN Computer Science (2025) Vol. 6, Iss. 4
Closed Access
DeepNphos: A deep-learning architecture for prediction of N-phosphorylation sites
Xulin Chang, Yafei Zhu, Yu Chen, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108079-108079
Closed Access | Times Cited: 4
TransFusionNet: Semantic and Spatial Features Fusion Framework for Liver Tumor and Vessel Segmentation Under JetsonTX2
Xun Wang, Xudong Zhang, Wang Gan, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 3, pp. 1173-1184
Closed Access | Times Cited: 18
Finding functional motifs in protein sequences with deep learning and natural language models
Castrense Savojardo, Pier Luigi Martelli, Rita Casadio
Current Opinion in Structural Biology (2023) Vol. 81, pp. 102641-102641
Open Access | Times Cited: 9
Identifying Protein Phosphorylation Site-Disease Associations Based on Multi-Similarity Fusion and Negative Sample Selection by Convolutional Neural Network
Qian Deng, Jing Zhang, Jie Liu, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 3, pp. 649-664
Closed Access | Times Cited: 2
CAT-CPI: Combining CNN and transformer to learn compound image features for predicting compound-protein interactions
Ying Qian, Jian Wu, Qian Zhang
Frontiers in Molecular Biosciences (2022) Vol. 9
Open Access | Times Cited: 12
PhosBoost: Improved phosphorylation prediction recall using gradient boosting and protein language models
Elly Poretsky, Carson M. Andorf, Taner Z. Sen
Plant Direct (2023) Vol. 7, Iss. 12
Open Access | Times Cited: 4
Attenphos: General Phosphorylation Site Prediction Model Based on Attention Mechanism
Tao Song, Qing Yang, Peng Qu, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 3, pp. 1526-1526
Open Access | Times Cited: 1
Identification of phosphorylation site using S-padding strategy based convolutional neural network
Yanjiao Zeng, Dongning Liu, Yang Wang
Health Information Science and Systems (2022) Vol. 10, Iss. 1
Open Access | Times Cited: 4
TDFFM: Transformer and Deep Forest Fusion Model for Predicting Coronavirus 3C-Like Protease Cleavage Sites
Wang Qing-song, Ruiquan Ge, Changmiao Wang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024) Vol. 21, Iss. 5, pp. 1231-1241
Closed Access
An endoscopic ultrasound-based interpretable deep learning model and nomogram for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer
Yi Nan, Shuangyang Mo, Yan Zhang, et al.
Research Square (Research Square) (2024)
Open Access
PhosF3C: A Feature Fusion Architecture with Fine-Tuned Protein Language Model and Conformer for prediction of general phosphorylation site
Yuhuan Liu, Haitian Zhong, Junyu Zhai, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Advances in Prediction of Posttranslational Modification Sites Known to Localize in Protein Supersecondary Structures
Pawel Pratyush, Dukka B. KC
Methods in molecular biology (2024), pp. 117-151
Closed Access
Integrating Multiple Single-Cell RNA Sequencing Datasets Using Adversarial Autoencoders
Xun Wang, Chaogang Zhang, Lulu Wang, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 6, pp. 5502-5502
Open Access | Times Cited: 1
DephosNet: A Novel Transfer Learning Approach for Dephosphorylation Site Prediction
Qing Yang, Xun Wang, Pan Zheng
Computers (2023) Vol. 12, Iss. 11, pp. 229-229
Open Access | Times Cited: 1
DeepDualEPI: Predicting Promoter-Enhancer Interactions Based on DNA Sequence and Genomic Signals
Tao Song, Haonan Song, Zhiyi Pan, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023), pp. 2889-2895
Closed Access | Times Cited: 1
A Protein Structure Enhanced Pre-training Model for Allosteric Site Detection
Qinfei Lv, X.H. Zhang, Xin Jiang, et al.
(2023), pp. 1184-1191
Closed Access
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