Hsin‐Wei Wang

1.7k total citations
30 papers, 1.4k citations indexed

About

Hsin‐Wei Wang is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Polymers and Plastics. According to data from OpenAlex, Hsin‐Wei Wang has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Electrical and Electronic Engineering and 7 papers in Polymers and Plastics. Recurrent topics in Hsin‐Wei Wang's work include Organic Electronics and Photovoltaics (7 papers), Conducting polymers and applications (7 papers) and Perovskite Materials and Applications (4 papers). Hsin‐Wei Wang is often cited by papers focused on Organic Electronics and Photovoltaics (7 papers), Conducting polymers and applications (7 papers) and Perovskite Materials and Applications (4 papers). Hsin‐Wei Wang collaborates with scholars based in United States, Taiwan and Japan. Hsin‐Wei Wang's co-authors include Thomas P. Russell, Feng Liu, Sunzida Ferdous, Xiaobo Shen, Yu Gu, Tun‐Wen Pai, Jea Woong Jo, Paul Kim, Won Ho Jo and Jae Woong Jung and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Hsin‐Wei Wang

28 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hsin‐Wei Wang United States 17 602 511 347 225 194 30 1.4k
Xingang Zhao China 27 1.4k 2.3× 1.1k 2.1× 363 1.0× 527 2.3× 323 1.7× 62 2.8k
Kaijun Luo China 22 143 0.2× 38 0.1× 245 0.7× 236 1.0× 147 0.8× 61 1.1k
Matthew L. Jones United Kingdom 25 176 0.3× 122 0.2× 647 1.9× 155 0.7× 81 0.4× 55 1.9k
Suvankar Ghorai India 17 177 0.3× 42 0.1× 258 0.7× 301 1.3× 27 0.1× 47 772
Puneet Tyagi United States 18 69 0.1× 81 0.2× 428 1.2× 79 0.4× 55 0.3× 48 1.2k
Qiang Lou China 24 660 1.1× 394 0.8× 508 1.5× 349 1.6× 41 0.2× 65 1.4k
Yuki Hoshino Japan 20 54 0.1× 104 0.2× 432 1.2× 170 0.8× 307 1.6× 86 1.4k
Parikshit Moitra United States 25 244 0.4× 63 0.1× 1.2k 3.5× 704 3.1× 148 0.8× 78 2.6k
Stephen Brocchini United Kingdom 17 58 0.1× 107 0.2× 327 0.9× 126 0.6× 398 2.1× 31 1.1k
Elif Burcu Aydın Türkiye 22 635 1.1× 155 0.3× 1.1k 3.1× 171 0.8× 25 0.1× 60 1.5k

Countries citing papers authored by Hsin‐Wei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hsin‐Wei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsin‐Wei Wang. 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 Hsin‐Wei Wang. The network helps show where Hsin‐Wei Wang may publish in the future.

Co-authorship network of co-authors of Hsin‐Wei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hsin‐Wei Wang. A scholar is included among the top collaborators of Hsin‐Wei Wang 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 Hsin‐Wei Wang. Hsin‐Wei Wang 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.
2.
Wang, Hsin‐Wei, Shih-Cheng Wu, Pei‐Shan Sung, et al.. (2023). CLEC5A mediates Zika virus-induced testicular damage. Journal of Biomedical Science. 30(1). 12–12. 6 indexed citations
3.
Wang, Yicheng, Tzu‐Ting Yang, Hsin‐Wei Wang, Bicheng Yan, & Berlin Chen. (2023). AVATAR: Robust Voice Search Engine Leveraging Autoregressive Document Retrieval and Contrastive Learning. abs 2206 10128. 2331–2335.
4.
Buchman, Anna, Stephanie Gamez, Ming Li, et al.. (2020). Broad dengue neutralization in mosquitoes expressing an engineered antibody. PLoS Pathogens. 16(1). e1008103–e1008103. 62 indexed citations
5.
Buchman, Anna, Stephanie Gamez, Ming Li, et al.. (2019). Engineered resistance to Zika virus in transgenic Aedes aegypti expressing a polycistronic cluster of synthetic small RNAs. Proceedings of the National Academy of Sciences. 116(9). 3656–3661. 69 indexed citations
6.
Liu, Yao, Lei Zhang, Hyunbok Lee, et al.. (2015). NDI‐Based Small Molecule as Promising Nonfullerene Acceptor for Solution‐Processed Organic Photovoltaics. Advanced Energy Materials. 5(12). 102 indexed citations
7.
Wang, Hsin‐Wei, et al.. (2014). A local average distance descriptor for flexible protein structure comparison. BMC Bioinformatics. 15(1). 95–95. 6 indexed citations
8.
Wang, Hsin‐Wei & Tun‐Wen Pai. (2014). Machine Learning-Based Methods for Prediction of Linear B-Cell Epitopes. Methods in molecular biology. 1184. 217–236. 30 indexed citations
9.
Liu, Yao, Feng Liu, Hsin‐Wei Wang, et al.. (2014). Sequential Deposition: Optimization of Solvent Swelling for High-Performance Polymer Solar Cells. ACS Applied Materials & Interfaces. 7(1). 653–661. 50 indexed citations
10.
Liu, Feng, Yu Gu, Xiaobo Shen, et al.. (2013). Characterization of the morphology of solution-processed bulk heterojunction organic photovoltaics. Progress in Polymer Science. 38(12). 1990–2052. 243 indexed citations
11.
Koyuncu, Sermet, et al.. (2013). A novel complementary absorbing donor–acceptor pair in block copolymers based on single material organic photovoltaics. Journal of Materials Chemistry A. 2(9). 2993–2998. 16 indexed citations
12.
Wang, Hsin‐Wei, Emily Pentzer, Todd Emrick, & Thomas P. Russell. (2013). Preparation of Low Band Gap Fibrillar Structures by Solvent-Induced Crystallization. ACS Macro Letters. 3(1). 30–34. 24 indexed citations
13.
14.
Wang, Hsin‐Wei, Ya‐Chi Lin, Tun‐Wen Pai, & Hao‐Teng Chang. (2011). Prediction of B‐cell Linear Epitopes with a Combination of Support Vector Machine Classification and Amino Acid Propensity Identification. BioMed Research International. 2011(1). 432830–432830. 70 indexed citations
15.
Wang, Hsin‐Wei, Ya‐Chi Lin, Tun‐Wen Pai, Pei-Wen Tsai, & Hao‐Teng Chang. (2011). A Hybrid Method of Propensity Scales and Support Vector Machine in a Linear Epitope Prediction. 322. 541–546. 1 indexed citations
16.
Wang, Hsin‐Wei, Alan M. Hochberg, Ronald K. Pearson, & Manfred Hauben. (2010). An Experimental Investigation of Masking in the US FDA Adverse Event Reporting System Database. Drug Safety. 33(12). 1117–1133. 56 indexed citations
17.
Ho, Rong‐Ming, Yun‐Wei Chiang, Chun-Ku Chen, et al.. (2009). Block Copolymers with a Twist. Journal of the American Chemical Society. 131(51). 18533–18542. 122 indexed citations
18.
Godman, Cassandra A., Emily J. Greenspan, Theodore P. Rasmussen, et al.. (2008). HDAC3 impacts multiple oncogenic pathways in colon cancer cells with effects on Wnt and vitamin D signaling. Cancer Biology & Therapy. 7(10). 1570–1580. 71 indexed citations
19.
Kalajzić, Ivo, Ada Staal, Wen-Pin Yang, et al.. (2005). Expression Profile of Osteoblast Lineage at Defined Stages of Differentiation. Journal of Biological Chemistry. 280(26). 24618–24626. 141 indexed citations
20.
Wang, Hsin‐Wei, et al.. (2001). Comparing trees in a phylogenetic relationship repository. 35. 166–173. 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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