Bo‐Wei Chen

146 papers receiving 2.0k citations

Peers

Bo‐Wei Chen
Comparison fields: 5 of 146
  • Biotechnology 433
  • Aquatic Science 129
  • Toxicology 54
  • Pharmacology 248
  • Signal Processing 164
Replace Je-Hyun Lee with:
Je-Hyun Lee South Korea
Woong Cho South Korea
Tae‐Seong Kim South Korea
Yifei Jiang China
Guangzhi Li China
Miran Kim South Korea
Yaqi Liu China
Zhenyu Qi China
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Nian Wang China
Bo‐Wei Chen relative to Je-Hyun Lee South Korea Je-Hyun Lee's profile →
Citations per field
00.5×10×15.5×
Je-Hyun Lee · 1×
Citations per year

Countries citing papers authored by Bo‐Wei Chen

Since Specialization
Citations

This map shows the geographic impact of Bo‐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 Bo‐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 Bo‐Wei Chen more than expected).

Fields of papers citing papers by Bo‐Wei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bo‐Wei Chen, 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 Bo‐Wei Chen Line = papers co-authored together Bo‐Wei Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201394
2 201367
3 201053
4 201753
5 200952
6 201648
7 201546
8 201345
9 201044
10 201642
11 201336
12 201936
13 201135
14 201435
15 201533
16 201532
17 201231
18 202231
19
iRGD Tumor-Penetrating Peptide-Modified Nano-Delivery System Based on a Marine Sulfated Polysaccharide for Enhanced Anti-Tumor Efficiency Against Breast Cancer
202231
20 201331

About Bo‐Wei Chen

Bo‐Wei Chen is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Signal Processing, Biomedical Engineering and Artificial Intelligence, having authored 153 papers that have together received 2.1k indexed citations. Recurring topics across this work include Thin-Film Transistor Technologies (24 papers), Speech and Audio Processing (19 papers), Marine Sponges and Natural Products (16 papers), Microbial Natural Products and Biosynthesis (11 papers), Face and Expression Recognition (10 papers), Semiconductor materials and devices (10 papers), Electrical and Thermal Properties of Materials (9 papers) and Blind Source Separation Techniques (9 papers). The work is most often cited by research in Biotechnology (433 citations), Aquatic Science (129 citations), Toxicology (54 citations), Pharmacology (248 citations) and Signal Processing (164 citations). Bo‐Wei Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Jyh‐Horng Sheu, Jhing-Fa Wang, Chang‐Feng Dai, Jui‐Hsin Su, Ting‐Chang Chang, Chiung‐Yao Huang, Seungmin Rho, Po‐Yung Liao, Ping‐Jyun Sung and Zhi‐Hong Wen. Their work appears in journals such as Marine Drugs, Applied Physics Letters, IEEE Electron Device Letters, Multimedia Tools and Applications and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

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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