Yen-Wei Chen

553 total citations
27 papers, 342 citations indexed

About

Yen-Wei Chen is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yen-Wei Chen has authored 27 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Yen-Wei Chen's work include Glycosylation and Glycoproteins Research (3 papers), Gene expression and cancer classification (3 papers) and Image and Signal Denoising Methods (3 papers). Yen-Wei Chen is often cited by papers focused on Glycosylation and Glycoproteins Research (3 papers), Gene expression and cancer classification (3 papers) and Image and Signal Denoising Methods (3 papers). Yen-Wei Chen collaborates with scholars based in Taiwan, Japan and United States. Yen-Wei Chen's co-authors include Xia Yang, Montgomery Blencowe, Sung Min Ha, Douglas Arneson, Jin‐Yuan Shih, Hsing-Chen Tsai, Elizabeth A. Davis, C. Anders Olson, Andrea N. Suarez and Emily E. Noble and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Cancer Research.

In The Last Decade

Yen-Wei Chen

21 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yen-Wei Chen Taiwan	8	204	60	42	30	25	27	342
Shen-Jue Chen United States	9	93 0.5×	44 0.7×	15 0.4×	16 0.5×	28 1.1×	14	254
Nabiha H. Saifee United States	9	155 0.8×	23 0.4×	91 2.2×	11 0.4×	23 0.9×	25	476
Danielle Fernandes Durso Brazil	12	277 1.4×	48 0.8×	121 2.9×	11 0.4×	12 0.5×	20	525
Yibo Yu China	13	216 1.1×	80 1.3×	37 0.9×	13 0.4×	4 0.2×	37	468
Letizia Paladino Italy	10	231 1.1×	33 0.6×	51 1.2×	11 0.4×	4 0.2×	23	354
Carla Luís Portugal	10	95 0.5×	30 0.5×	65 1.5×	4 0.1×	12 0.5×	31	304
Oscar E. Diaz Sweden	9	171 0.8×	19 0.3×	20 0.5×	27 0.9×	6 0.2×	11	334
C. H. Turner United States	7	146 0.7×	27 0.5×	34 0.8×	19 0.6×	4 0.2×	10	252
Douglas N. Cox United States	7	158 0.8×	42 0.7×	25 0.6×	25 0.8×	38 1.5×	10	455

Countries citing papers authored by Yen-Wei Chen

Since Specialization

Citations

This map shows the geographic impact of Yen-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 Yen-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 Yen-Wei Chen more than expected).

Fields of papers citing papers by Yen-Wei Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Yen-Wei Chen. A scholar is included among the top collaborators of Yen-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 Yen-Wei Chen. Yen-Wei Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sun, Hao, Hongyi Wang, Xin‐Yao Yu, et al.. (2025). Multimodal Sentiment Analysis With Mutual Information-Based Disentangled Representation Learning. IEEE Transactions on Affective Computing. 16(3). 1606–1617.

Phelps, Patricia E., et al.. (2025). Olfactory ensheathing cells from adult female rats are hybrid glia that promote neural repair. eLife. 13. 1 indexed citations

Chen, Yen-Wei, In Sook Ahn, Susanna Wang, et al.. (2025). Multitissue single-cell analysis reveals differential cellular and molecular sensitivity between fructose and high-fat high-sucrose diets. Cell Reports. 44(5). 115690–115690.

Phelps, Patricia E., et al.. (2024). Olfactory ensheathing cells from adult female rats are hybrid glia that promote neural repair. eLife. 13.

Huang, Huimin, Yawen Huang, Lanfen Lin, et al.. (2024). Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models. 28181–28190.

Liu, Jing, Qingqing Chen, Yinhao Li, et al.. (2024). GANs-guided Conditional Diffusion Model for Synthesizing Contrast-enhanced Computed Tomography Images. PubMed. 2024. 1–4.

Chen, Yen-Wei, Graciel Diamante, Sung Min Ha, et al.. (2022). PharmOmics: A species- and tissue-specific drug signature database and gene-network-based drug repositioning tool. iScience. 25(4). 104052–104052. 20 indexed citations

Shih, Yao‐Hsiang, Yen-Wei Chen, Tsung‐Yun Liu, et al.. (2022). Zfra Inhibits the TRAPPC6AΔ-Initiated Pathway of Neurodegeneration. International Journal of Molecular Sciences. 23(23). 14510–14510. 2 indexed citations

Noble, Emily E., C. Anders Olson, Elizabeth A. Davis, et al.. (2021). Gut microbial taxa elevated by dietary sugar disrupt memory function. Translational Psychiatry. 11(1). 194–194. 59 indexed citations

10.

Blencowe, Montgomery, et al.. (2021). Mergeomics 2.0: a web server for multi-omics data integration to elucidate disease networks and predict therapeutics. Nucleic Acids Research. 49(W1). W375–W387. 51 indexed citations

11.

Lu, Hsuan‐Hsuan, Shu‐Yung Lin, Rueyhung Roc Weng, et al.. (2020). Fucosyltransferase 4 shapes oncogenic glycoproteome to drive metastasis of lung adenocarcinoma. EBioMedicine. 57. 102846–102846. 28 indexed citations

12.

Blencowe, Montgomery, et al.. (2019). Network modeling of single-cell omics data: challenges, opportunities, and progresses. Emerging Topics in Life Sciences. 3(4). 379–398. 43 indexed citations

13.

Shu, Le, Qingying Meng, Graciel Diamante, et al.. (2018). Prenatal Bisphenol A Exposure in Mice Induces Multitissue Multiomics Disruptions Linking to Cardiometabolic Disorders. Endocrinology. 160(2). 409–429. 38 indexed citations

14.

Chang, Tzu‐Hua, Meng‐Feng Tsai, Chien‐Hung Gow, et al.. (2017). Upregulation of microRNA-137 expression by Slug promotes tumor invasion and metastasis of non-small cell lung cancer cells through suppression of TFAP2C. Cancer Letters. 402. 190–202. 51 indexed citations

15.

Ko, Yi-Ching, Cheng‐Chieh Hung, Ming‐Yang Chang, et al.. (2013). Essential Calcium-binding Cluster of Leptospira LipL32 Protein for Inflammatory Responses through the Toll-like Receptor 2 Pathway. Journal of Biological Chemistry. 288(17). 12335–12344. 28 indexed citations

16.

Tateyama, Tomoko, Akira Furukawa, Shuzo Kanasaki, et al.. (2011). Evaluation of Statistical Shape Model Based Classification Performance for Liver Disease of Cirrhosis. IEICE Technical Report; IEICE Tech. Rep.. 110(381). 27–32. 1 indexed citations

17.

Chen, Yen-Wei, et al.. (2008). Multi-angle View, Illumination and Cosmetic Facial Image Database (MaVIC) and Quantitative Analysis of Facial Appearance. IEICE Technical Report; IEICE Tech. Rep.. 108(93). 83–87. 1 indexed citations

18.

Chen, Yen-Wei, et al.. (2003). Computed tomography based on a self-organizing neural network. 4. 895–898. 1 indexed citations

19.

Wang, Ning, Yen-Wei Chen, Zensho Nakao, & Shinichi Tamura. (1999). Parallel-distributed blind deconvolution based on a self-organizing neural network. Applied Optics. 38(20). 4345–4345. 2 indexed citations

20.

Chen, Yen-Wei, et al.. (1998). Application of a Noise-Smoothing Filter Based on Adaptive Windowing to Penumbral Imaging. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 81(3). 500–506.

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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