Hsin‐Wei Wang

1.7k citations
30 papers · 1.4k · h-index 17

Impact in

Papers in

Hsin‐Wei Wang

28 papers receiving 1.4k citations

Peers

Hsin‐Wei Wang
Comparison fields: 5 of 111
  • Polymers and Plastics 511
  • Toxicology 46
  • Electrical and Electronic Engineering 602
  • Insect Science 98
  • Organic Chemistry 194
Replace Matthew L. Jones with:
Matthew L. Jones United Kingdom
Hana Vaisocherová Czechia
Yi‐Ping Ho Hong Kong
Yuki Hoshino Japan
Jerome P. Ferrance United States
Dong-ki Lee South Korea
Xingang Zhao China
Michael N. Liang United States
Dong‐Ku Kang South Korea
Claude Malvy France
Hsin‐Wei Wang relative to Matthew L. Jones United Kingdom Matthew L. Jones's profile →
Citations per field
00.5×7.7×
Matthew L. Jones · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Hsin‐Wei Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hsin‐Wei Wang Line = papers co-authored together Hsin‐Wei Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013243
2 2014142
3 2005141
4 2009122
5 2015102
6 2014100
7 200871
8 201170
9 201969
10 202062
11 201056
12 201450
13 201430
14 201324
15 201221
16 202017
17 201316
18 20219
19 20227
20 20236

About Hsin‐Wei Wang

Hsin‐Wei Wang is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Polymers and Plastics, Materials Chemistry and Artificial Intelligence, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Conducting polymers and applications (7 papers), Organic Electronics and Photovoltaics (7 papers), Perovskite Materials and Applications (4 papers), Protein Structure and Dynamics (3 papers), vaccines and immunoinformatics approaches (3 papers), Mosquito-borne diseases and control (3 papers), Genomics and Phylogenetic Studies (2 papers) and Insect symbiosis and bacterial influences (2 papers). The work is most often cited by research in Polymers and Plastics (511 citations), Toxicology (46 citations), Electrical and Electronic Engineering (602 citations), Insect Science (98 citations) and Organic Chemistry (194 citations). Hsin‐Wei Wang has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Thomas P. Russell, Feng Liu, Sunzida Ferdous, Xiaobo Shen, Yu Gu, Tun‐Wen Pai, Jae Woong Jung, Jea Woong Jo, Paul Kim and Won Ho Jo. Their work appears in journals such as Journal of the American Chemical Society, Journal of Cellular and Molecular Medicine, Chemistry of Materials, BMC Bioinformatics and ACS Applied Materials & Interfaces.

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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