Yan Liu

169 papers receiving 2.2k citations

Peers

Yan Liu
Comparison fields: 5 of 146
  • Bioengineering 190
  • Cellular and Molecular Neuroscience 474
  • Electrochemistry 128
  • Biomedical Engineering 727
  • Electrical and Electronic Engineering 944
Replace Hung Cao with:
Hung Cao United States
Hideki Kawai Japan
Zhan Wang China
Shaomin Zhang China
Jinghua Li China
Zhen Zhang China
Paolo Visconti Italy
H. Troy Nagle United States
Ping Deng China
Yan Liu relative to Hung Cao United States Hung Cao's profile →
Citations per field
00.5×
Hung Cao · 1×
Citations per year

Countries citing papers authored by Yan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 188 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017161
2 2012138
3 2019113
4 201768
5 201167
6 201163
7 202057
8 202156
9 200255
10 201153
11 200448
12 201748
13 201548
14 201744
15 201843
16 201441
17 201840
18 200839
19 201639
20 202231

About Yan Liu

Yan Liu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Control and Systems Engineering, having authored 188 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (38 papers), Advanced Memory and Neural Computing (27 papers), Analog and Mixed-Signal Circuit Design (20 papers), Neural dynamics and brain function (12 papers), EEG and Brain-Computer Interfaces (11 papers), Photoreceptor and optogenetics research (11 papers), Analytical Chemistry and Sensors (9 papers) and Electrochemical Analysis and Applications (8 papers). The work is most often cited by research in Bioengineering (190 citations), Cellular and Molecular Neuroscience (474 citations), Electrochemistry (128 citations), Biomedical Engineering (727 citations) and Electrical and Electronic Engineering (944 citations). Yan Liu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Timothy G. Constandinou, Noel N. Schulz, Pantelis Georgiou, Themis Prodromakis, Su‐Chun Zhang, Jason P. Weick, C. Toumazou, Ian Williams, Song Luan and Yang Liu. Their work appears in journals such as IEEE Transactions on Biomedical Circuits and Systems, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Transactions on Instrumentation and Measurement and Review of Scientific Instruments.

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.

Explore authors with similar magnitude of impact