Chi-Wei Chen

714 total citations
38 papers, 541 citations indexed

About

Chi-Wei Chen is a scholar working on Molecular Biology, Civil and Structural Engineering and Ecology. According to data from OpenAlex, Chi-Wei Chen has authored 38 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 4 papers in Civil and Structural Engineering and 4 papers in Ecology. Recurrent topics in Chi-Wei Chen's work include Machine Learning in Bioinformatics (13 papers), Protein Structure and Dynamics (6 papers) and Genomics and Phylogenetic Studies (6 papers). Chi-Wei Chen is often cited by papers focused on Machine Learning in Bioinformatics (13 papers), Protein Structure and Dynamics (6 papers) and Genomics and Phylogenetic Studies (6 papers). Chi-Wei Chen collaborates with scholars based in Taiwan, France and Malaysia. Chi-Wei Chen's co-authors include Yen-Wei Chu, Jerome Lin, Hsung‐Pin Chang, Meng‐Han Lin, Chi‐Chang Chang, Chi‐Hua Tung, Weijie Pan, Chang‐Hsien Yang, Hsing‐Fun Hsu and Kai-Po Chang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Food Chemistry.

In The Last Decade

Chi-Wei Chen

34 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chi-Wei Chen Taiwan 10 377 66 53 42 41 38 541
Yen-Wei Chu Taiwan 10 387 1.0× 68 1.0× 58 1.1× 43 1.0× 31 0.8× 41 525
Liming Zhao China 12 316 0.8× 64 1.0× 42 0.8× 43 1.0× 42 1.0× 31 584
Michael Ederer Germany 16 518 1.4× 48 0.7× 110 2.1× 27 0.6× 21 0.5× 43 768
Saima Sadaf Pakistan 13 212 0.6× 58 0.9× 42 0.8× 57 1.4× 103 2.5× 53 489
Qing Cheng China 18 396 1.1× 48 0.7× 208 3.9× 46 1.1× 24 0.6× 52 753
Jiesi Luo China 16 740 2.0× 60 0.9× 43 0.8× 36 0.9× 64 1.6× 55 993
Shijia Zhu United States 11 791 2.1× 105 1.6× 83 1.6× 82 2.0× 14 0.3× 28 987

Countries citing papers authored by Chi-Wei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chi-Wei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chi-Wei Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chi-Wei Chen. A scholar is included among the top collaborators of Chi-Wei Chen 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 Chi-Wei Chen. Chi-Wei Chen 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.
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
2.
Chen, Chi-Wei, et al.. (2024). Managing Railway Bridges Crossing Waterways through a Machine Learning-Based Maintenance Policy. Journal of Bridge Engineering. 30(2).
3.
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
4.
Reiffsteck, Philippe, et al.. (2023). An interpretable model for bridge scour risk assessment using explainable artificial intelligence and engineers’ expertise. Structure and Infrastructure Engineering. 21(4). 643–655. 5 indexed citations
5.
Reiffsteck, Philippe, et al.. (2022). A novel extreme gradient boosting algorithm based model for predicting the scour risk around bridge piers: application to French railway bridges. European Journal of Environmental and Civil engineering. 27(3). 1104–1122. 8 indexed citations
6.
Reiffsteck, Philippe, et al.. (2021). Application of Random Forest algorithm in bridge scour risk prediction. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
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.
10.
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
11.
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
12.
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
13.
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
14.
Chang, Chi‐Chang, et al.. (2018). SUMOgo: Prediction of sumoylation sites on lysines by motif screening models and the effects of various post-translational modifications. Scientific Reports. 8(1). 15512–15512. 32 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.

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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Breakdown of academic impact, for papers by Yen-Wei Chu Breakdown of academic impact, for papers by Liming Zhao Breakdown of academic impact, for papers by Michael Ederer Breakdown of academic impact, for papers by Saima Sadaf Breakdown of academic impact, for papers by Qing Cheng Breakdown of academic impact, for papers by Jiesi Luo Breakdown of academic impact, for papers by Shijia Zhu
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