Zhe Ju

734 total citations
20 papers, 608 citations indexed

About

Zhe Ju is a scholar working on Molecular Biology, Periodontics and Control and Systems Engineering. According to data from OpenAlex, Zhe Ju has authored 20 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 2 papers in Periodontics and 1 paper in Control and Systems Engineering. Recurrent topics in Zhe Ju's work include Machine Learning in Bioinformatics (18 papers), Genomics and Phylogenetic Studies (14 papers) and RNA and protein synthesis mechanisms (10 papers). Zhe Ju is often cited by papers focused on Machine Learning in Bioinformatics (18 papers), Genomics and Phylogenetic Studies (14 papers) and RNA and protein synthesis mechanisms (10 papers). Zhe Ju collaborates with scholars based in China. Zhe Ju's co-authors include Shiyun Wang, Jianjun He, Hong Gu and Yanjie Li and has published in prestigious journals such as Analytical Biochemistry, Gene and Journal of Theoretical Biology.

In The Last Decade

Zhe Ju

19 papers receiving 591 citations

Peers

Zhe Ju
Bi‐Qian Sun China
Ghazaleh Taherzadeh Australia
Yosvany López Japan
Zhijun Liao China
Ahmad Hassan Butt Pakistan
Dongxu Xiang Australia
Alexander Georgiev Sweden
Hasan Zulfiqar China
Zheng-Xing Guan China
Ben Krause United States
Bi‐Qian Sun China
Zhe Ju
Citations per year, relative to Zhe Ju Zhe Ju (= 1×) peers Bi‐Qian Sun

Countries citing papers authored by Zhe Ju

Since Specialization
Citations

This map shows the geographic impact of Zhe Ju's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zhe Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhe Ju more than expected).

Fields of papers citing papers by Zhe Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhe Ju. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zhe Ju. The network helps show where Zhe Ju may publish in the future.

Co-authorship network of co-authors of Zhe Ju

This figure shows the co-authorship network connecting the top 25 collaborators of Zhe Ju. A scholar is included among the top collaborators of Zhe Ju based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhe Ju. Zhe Ju is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ju, Zhe, et al.. (2025). Rolling Bearing Fault Diagnosis Based on 2D CNN and Hybrid Kernel Fuzzy SVM. Advanced Theory and Simulations. 8(6). 5 indexed citations
2.
Ju, Zhe, et al.. (2024). Intuitionistic Fuzzy SVM based on Kernel Gray Relational Analysis. 25(4). 359–370.
3.
Ju, Zhe, et al.. (2024). iBhb-Lys: Identify lysine β-hydroxybutyrylation sites using autoencoder feature representation and fuzzy SVM algorithm. Analytical Biochemistry. 697. 115715–115715. 1 indexed citations
4.
Ju, Zhe & Shiyun Wang. (2020). Prediction of 2-hydroxyisobutyrylation sites by integrating multiple sequence features with ensemble support vector machine. Computational Biology and Chemistry. 87. 107280–107280. 6 indexed citations
5.
Ju, Zhe & Shiyun Wang. (2020). Computational Identification of Lysine Glutarylation Sites Using Positive- Unlabeled Learning. Current Genomics. 21(3). 204–211. 11 indexed citations
6.
7.
Ju, Zhe & Shiyun Wang. (2019). Identify Lysine Neddylation Sites Using Bi-profile Bayes Feature Extraction via the Chou’s 5-steps Rule and General Pseudo Components. Current Genomics. 20(8). 592–601. 18 indexed citations
8.
Ju, Zhe & Shiyun Wang. (2019). Prediction of Neddylation Sites Using the Composition of k-spaced Amino Acid Pairs and Fuzzy SVM. Current Bioinformatics. 15(7). 725–731. 8 indexed citations
9.
Ju, Zhe & Shiyun Wang. (2019). iLys-Khib: Identify lysine 2-Hydroxyisobutyrylation sites using mRMR feature selection and fuzzy SVM algorithm. Chemometrics and Intelligent Laboratory Systems. 191. 96–102. 15 indexed citations
10.
Ju, Zhe & Shiyun Wang. (2018). Prediction of S-sulfenylation sites using mRMR feature selection and fuzzy support vector machine algorithm. Journal of Theoretical Biology. 457. 6–13. 10 indexed citations
11.
12.
Ju, Zhe & Shiyun Wang. (2018). Predicting lysine lipoylation sites using bi-profile bayes feature extraction and fuzzy support vector machine algorithm. Analytical Biochemistry. 561-562. 11–17. 8 indexed citations
13.
Ju, Zhe & Jianjun He. (2018). Prediction of lysine glutarylation sites by maximum relevance minimum redundancy feature selection. Analytical Biochemistry. 550. 1–7. 31 indexed citations
14.
Ju, Zhe & Jianjun He. (2017). Prediction of lysine propionylation sites using biased SVM and incorporating four different sequence features into Chou’s PseAAC. Journal of Molecular Graphics and Modelling. 76. 356–363. 64 indexed citations
15.
Ju, Zhe, et al.. (2017). Predicting lysine glycation sites using bi-profile bayes feature extraction. Computational Biology and Chemistry. 71. 98–103. 20 indexed citations
16.
Ju, Zhe, et al.. (2017). Prediction of protein N-formylation using the composition of k-spaced amino acid pairs. Analytical Biochemistry. 534. 40–45. 23 indexed citations
17.
Ju, Zhe & Jianjun He. (2017). Prediction of lysine crotonylation sites by incorporating the composition of k-spaced amino acid pairs into Chou’s general PseAAC. Journal of Molecular Graphics and Modelling. 77. 200–204. 81 indexed citations
18.
Ju, Zhe & Hong Gu. (2016). Predicting pupylation sites in prokaryotic proteins using semi-supervised self-training support vector machine algorithm. Analytical Biochemistry. 507. 1–6. 29 indexed citations
19.
Ju, Zhe, et al.. (2016). Predicting lysine phosphoglycerylation with fuzzy SVM by incorporating k-spaced amino acid pairs into Chou׳s general PseAAC. Journal of Theoretical Biology. 397. 145–150. 85 indexed citations
20.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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