Kan Luo

538 citations
40 papers · 406 · h-index 11

Impact in

Papers in

Kan Luo

36 papers receiving 398 citations

Peers

Kan Luo
Comparison fields: 5 of 72
  • Cardiology and Cardiovascular Medicine 214
  • Cognitive Neuroscience 129
  • Bioengineering 27
  • Signal Processing 46
  • Biomedical Engineering 146
Replace R. N. Ponnalagu with:
R. N. Ponnalagu India
Javier Mateo Spain
Venkata Rajesh Pamula United States
Hyung-Ro Yoon South Korea
Yong Hyeon Yun South Korea
Liang-Hung Wang China
Ramon Casanella Spain
Amar Rouane France
Wissam Jenkal Morocco
Iñaki Romero Netherlands
Kan Luo relative to R. N. Ponnalagu India R. N. Ponnalagu's profile →
Citations per field
00.5×10×14.3×
R. N. Ponnalagu · 1×
Citations per year

Countries citing papers authored by Kan Luo

Since Specialization
Citations

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

Fields of papers citing papers by Kan Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017102
2 201863
3 201439
4 200020
5 201919
6 201413
7 200113
8 201713
9 201613
10 202412
11 201710
12 20009
13 20188
14 20127
15 20186
16 20006
17 20245
18 20165
19 20245
20 20145

About Kan Luo

Kan Luo is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 40 papers that have together received 406 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (13 papers), Non-Invasive Vital Sign Monitoring (9 papers), Music and Audio Processing (4 papers), Neural Networks and Applications (4 papers), EEG and Brain-Computer Interfaces (4 papers), Wireless Body Area Networks (3 papers), Sparse and Compressive Sensing Techniques (3 papers) and Biosensors and Analytical Detection (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (214 citations), Cognitive Neuroscience (129 citations), Bioengineering (27 citations), Signal Processing (46 citations) and Biomedical Engineering (146 citations). Kan Luo has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jianqing Li, Zhigang Wang, A. Cuschieri, Jianfeng Wu, Xiaoyan Xu, Caiyun Ma, Li Zhang, Shoushui Wei, Kemin Wang and Xiaohai Yang. Their work appears in journals such as Biomedical Signal Processing and Control, Sensors and Actuators B Chemical, Biosensors and Bioelectronics, HardwareX and Electronics Letters.

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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