Bo Yao

5.6k citations
166 papers · 4.0k · h-index 32

Impact in

Papers in

Bo Yao

155 papers receiving 3.9k citations

Peers

Bo Yao
Comparison fields: 5 of 162
  • Biomedical Engineering 1.3k
  • Hardware and Architecture 179
  • Molecular Biology 1.8k
  • Cancer Research 313
  • Bioengineering 110
Replace Sunghoon Kwon with:
Sunghoon Kwon South Korea
Hermann Oppermann Germany
Keun‐Woo Lee South Korea
Junghwan Oh South Korea
Yefu Wang China
Phillip Williams United States
Akira Matsumoto Japan
Sung‐Wook Choi South Korea
Nathaniel C. Cady United States
Bo Yao relative to Sunghoon Kwon South Korea Sunghoon Kwon's profile →
Citations per field
00.5×4.0×
Sunghoon Kwon · 1×
Citations per year

Countries citing papers authored by Bo Yao

Since Specialization
Citations

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

Fields of papers citing papers by Bo Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012288
2 2005271
3 2009193
4 2008155
5 2019133
6 2010128
7 2021126
8 2014124
9 2007112
10 2004108
11 2015100
12 201398
13 201292
14 202184
15 201182
16 200579
17 201877
18 201972
19 202171
20 202168

About Bo Yao

Bo Yao is a scholar working on Molecular Biology, Biomedical Engineering, Electrical and Electronic Engineering, Control and Systems Engineering and Hardware and Architecture, having authored 166 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (27 papers), Fault Detection and Control Systems (18 papers), VLSI and FPGA Design Techniques (18 papers), Stability and Control of Uncertain Systems (18 papers), Biosensors and Analytical Detection (13 papers), Low-power high-performance VLSI design (13 papers), VLSI and Analog Circuit Testing (11 papers) and Microfluidic and Capillary Electrophoresis Applications (10 papers). The work is most often cited by research in Biomedical Engineering (1.3k citations), Hardware and Architecture (179 citations), Molecular Biology (1.8k citations), Cancer Research (313 citations) and Bioengineering (110 citations). Bo Yao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Chi Zhang, Shide Liang, Lin Zhang, Kai Zhang, Zhenqiang Fan, Yuedi Ding, Chung‐Kuan Cheng, Dandan Zheng, Qun Fang and Yunxia Zhang. Their work appears in journals such as Analytical Chemistry, Biosensors and Bioelectronics, Scientific Reports, Lab on a Chip and Sensors and Actuators B Chemical.

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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