Shao-Wei Lu

864 citations
31 papers · 631 · h-index 13

Impact in

Papers in

Shao-Wei Lu

28 papers receiving 605 citations

Peers

Shao-Wei Lu
Comparison fields: 5 of 85
  • Human-Computer Interaction 112
  • Cognitive Neuroscience 348
  • Experimental and Cognitive Psychology 100
  • Cellular and Molecular Neuroscience 117
  • Cardiology and Cardiovascular Medicine 84
Replace Teng Cao with:
Teng Cao China
I-Jan Wang Taiwan
Aleksandra Kawala‐Sterniuk Poland
Nan Bu Japan
Vojkan Mihajlović Netherlands
Yunfa Fu China
Amin Mahnam Iran
Thapanun Sudhawiyangkul Thailand
D. N. Tibarewala India
Dae-Hyeok Lee South Korea
Shao-Wei Lu relative to Teng Cao China Teng Cao's profile →
Citations per field
00.5×1.5×2.4×
Teng Cao · 1×
Citations per year

Countries citing papers authored by Shao-Wei Lu

Since Specialization
Citations

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

Fields of papers citing papers by Shao-Wei Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao-Wei Lu. 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 Shao-Wei Lu. The network helps show where Shao-Wei Lu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014188
2 201369
3 201366
4 201459
5 201730
6 202028
7 201027
8 201426
9 200821
10 200617
11 201615
12 202214
13 202112
14 202411
15 20218
16 20227
17 20117
18 20196
19 20115
20 20234

About Shao-Wei Lu

Shao-Wei Lu is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 31 papers that have together received 631 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Neuroscience and Neural Engineering (7 papers), Advanced Memory and Neural Computing (5 papers), Non-Invasive Vital Sign Monitoring (5 papers), Neural dynamics and brain function (5 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Semiconductor materials and devices (3 papers) and Heart Rate Variability and Autonomic Control (3 papers). The work is most often cited by research in Human-Computer Interaction (112 citations), Cognitive Neuroscience (348 citations), Experimental and Cognitive Psychology (100 citations), Cellular and Molecular Neuroscience (117 citations) and Cardiology and Cardiovascular Medicine (84 citations). Shao-Wei Lu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chin‐Teng Lin, Li‐Wei Ko, Chun‐Hsiang Chuang, Chih-Sheng Huang, Lun‐De Liao, Shi‐An Chen, Shang-Lin Wu, Tzyy‐Ping Jung, Yi-Hsin Yu and Yiwen Qi. Their work appears in journals such as Review of Scientific Instruments, Biosensors and Bioelectronics, IEEE Transactions on Biomedical Engineering, Biosensors and Journal of Neural Engineering.

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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