Yen-Wei Chu

712 total citations
41 papers, 525 citations indexed

About

Yen-Wei Chu is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Yen-Wei Chu has authored 41 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Computational Theory and Mathematics. Recurrent topics in Yen-Wei Chu's work include Machine Learning in Bioinformatics (16 papers), Protein Structure and Dynamics (8 papers) and Genomics and Phylogenetic Studies (7 papers). Yen-Wei Chu is often cited by papers focused on Machine Learning in Bioinformatics (16 papers), Protein Structure and Dynamics (8 papers) and Genomics and Phylogenetic Studies (7 papers). Yen-Wei Chu collaborates with scholars based in Taiwan, Malaysia and China. Yen-Wei Chu's co-authors include Chi-Wei Chen, Jerome Lin, Hsung‐Pin Chang, Meng‐Han Lin, Chi‐Chang Chang, Chi‐Hua Tung, Kai-Po Chang, Weijie Pan, Chang‐Hsien Yang and Hsing‐Fun Hsu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Food Chemistry.

In The Last Decade

Yen-Wei Chu

34 papers receiving 516 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yen-Wei Chu Taiwan 10 387 68 58 43 36 41 525
Bo Yan United States 12 412 1.1× 67 1.0× 38 0.7× 40 0.9× 20 0.6× 25 556
Robel Kahsay United States 9 457 1.2× 35 0.5× 88 1.5× 59 1.4× 46 1.3× 18 571
Antonio Turi Italy 8 367 0.9× 50 0.7× 28 0.5× 60 1.4× 48 1.3× 10 472
Da Lin China 15 430 1.1× 86 1.3× 126 2.2× 77 1.8× 43 1.2× 31 676
Shijia Zhu United States 11 791 2.0× 105 1.5× 83 1.4× 82 1.9× 19 0.5× 28 987
María Elena Ochagavia Cuba 7 247 0.6× 23 0.3× 59 1.0× 32 0.7× 24 0.7× 15 460
Markus Brosch United Kingdom 6 521 1.3× 60 0.9× 79 1.4× 42 1.0× 24 0.7× 6 706
Chenyu Zhu China 14 644 1.7× 61 0.9× 89 1.5× 54 1.3× 119 3.3× 36 865
Hongyu Zhao China 13 499 1.3× 78 1.1× 103 1.8× 96 2.2× 13 0.4× 42 764

Countries citing papers authored by Yen-Wei Chu

Since Specialization
Citations

This map shows the geographic impact of Yen-Wei Chu'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 Yen-Wei Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yen-Wei Chu more than expected).

Fields of papers citing papers by Yen-Wei Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yen-Wei Chu. 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 Yen-Wei Chu. The network helps show where Yen-Wei Chu may publish in the future.

Co-authorship network of co-authors of Yen-Wei Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Yen-Wei Chu. A scholar is included among the top collaborators of Yen-Wei Chu 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 Yen-Wei Chu. Yen-Wei Chu 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.
Lin, Sheng‐Hsiang, Yun‐Hsuan Chang, Cheng-Ta Yang, et al.. (2025). Relationships between childhood adversity, resilience, and inflammatory profiles in Taiwanese young adults. Psychoneuroendocrinology. 182. 107624–107624.
2.
Chou, Tsung‐Han, Chi‐Wei Chen, Su-Hua Huang, Ying-Tsong Chen, & Yen-Wei Chu. (2025). Rapid antibiotic sensitivity prediction in Pseudomonas aeruginosa using UV–vis-NIR spectroscopy and gray-box one-vs-all models. Journal of Microbiological Methods. 236. 107179–107179.
3.
Chu, Yen-Wei, et al.. (2025). SUMO-LMNet: Lossless mapping network for predicting SUMOylation sites in SUMO1 and SUMO2 using high-dimensional features. Computational and Structural Biotechnology Journal. 27. 1048–1059. 1 indexed citations
4.
Chen, Chi-Wei, et al.. (2024). Using ensemble learning and hierarchical strategy to predict the outcomes of ESWL for upper ureteral stone treatment. Computers in Biology and Medicine. 179. 108904–108904. 1 indexed citations
5.
6.
7.
Tung, Chi‐Hua, et al.. (2020). QUATgo: Protein quaternary structural attributes predicted by two-stage machine learning approaches with heterogeneous feature encoding. PLoS ONE. 15(4). e0232087–e0232087. 1 indexed citations
8.
Chang, Chi‐Chang, et al.. (2020). N-GlycoGo: Predicting Protein N-Glycosylation Sites on Imbalanced Data Sets by Using Heterogeneous and Comprehensive Strategy. IEEE Access. 8. 165944–165950. 11 indexed citations
9.
Chang, Kai-Po, John Wang, Chi‐Chang Chang, & Yen-Wei Chu. (2020). Development of a Novel Tool for the Retrieval and Analysis of Hormone Receptor Expression Characteristics in Metastatic Breast Cancer via Data Mining on Pathology Reports. BioMed Research International. 2020(1). 2654815–2654815. 1 indexed citations
10.
11.
Chen, Chi-Wei, et al.. (2020). iStable 2.0: Predicting protein thermal stability changes by integrating various characteristic modules. Computational and Structural Biotechnology Journal. 18. 622–630. 79 indexed citations
12.
Chen, Liang‐Jwu, et al.. (2019). EAT-Rice: A predictive model for flanking gene expression of T-DNA insertion activation-tagged rice mutants by machine learning approaches. PLoS Computational Biology. 15(5). e1006942–e1006942. 4 indexed citations
13.
Chang, Chi‐Chang, et al.. (2019). Conservation region finding for influenza A viruses by machine learning methods of N-linked glycosylation sites and B-cell epitopes. Mathematical Biosciences. 315. 108217–108217. 9 indexed citations
14.
Chang, Chi‐Chang, et al.. (2018). Sequence-based Structural B-cell Epitope Prediction by Using Two Layer SVM Model and Association Rule Features. Current Bioinformatics. 15(3). 246–252. 8 indexed citations
15.
Tung, Chi‐Hua, et al.. (2017). Predicting human protein subcellular localization by heterogeneous and comprehensive approaches. PLoS ONE. 12(6). e0178832–e0178832. 8 indexed citations
16.
Chu, Yen-Wei, et al.. (2016). 2-DE combined with two-layer feature selection accurately establishes the origin of oolong tea. Food Chemistry. 211. 392–399. 9 indexed citations
17.
Tung, Chi‐Hua, et al.. (2016). QuaBingo: A Prediction System for Protein Quaternary Structure Attributes Using Block Composition. BioMed Research International. 2016. 1–10. 4 indexed citations
18.
Chen, Chi-Wei, Jerome Lin, & Yen-Wei Chu. (2013). iStable: off-the-shelf predictor integration for predicting protein stability changes. BMC Bioinformatics. 14(S2). S5–S5. 189 indexed citations
19.
Pan, Weijie, Chi-Wei Chen, & Yen-Wei Chu. (2011). siPRED: Predicting siRNA Efficacy Using Various Characteristic Methods. PLoS ONE. 6(11). e27602–e27602. 25 indexed citations
20.
Chu, Yen-Wei & Jinn‐Moon Yang. (2003). Finding Regularity in Various Types of Secondary Protein Structures. Journal of information science and engineering. 19(6). 943–952. 1 indexed citations

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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