Kang‐Ping Lin

832 citations
46 papers · 604 · h-index 15

Impact in

Papers in

Kang‐Ping Lin

43 papers receiving 583 citations

Peers

Kang‐Ping Lin
Comparison fields: 5 of 94
  • Radiation 101
  • Radiology, Nuclear Medicine and Imaging 201
  • Cardiology and Cardiovascular Medicine 101
  • Gastroenterology 23
  • Computer Vision and Pattern Recognition 94
Replace Per Thunberg with:
Per Thunberg Sweden
N. Pallikarakis Greece
Redha Boubertakh United Kingdom
Kotaro Minato Japan
A. Farras Abdelnour United States
Oline V. Olesen Denmark
Bernard Chiu Hong Kong
Gang Yu China
Brian F. Hutton Australia
Amy Zhao United States
Kang‐Ping Lin relative to Per Thunberg Sweden Per Thunberg's profile →
Citations per field
00.5×3.5×
Per Thunberg · 1×
Citations per year

Countries citing papers authored by Kang‐Ping Lin

Since Specialization
Citations

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

Fields of papers citing papers by Kang‐Ping Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kang‐Ping Lin. 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 Kang‐Ping Lin. The network helps show where Kang‐Ping Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200496
2 201948
3 199446
4 199636
5 200831
6 200029
7 202128
8 200925
9 199525
10 200823
11 199923
12 199622
13 201319
14 201019
15 202117
16 200214
17 201113
18 201910
19 20229
20 19889

About Kang‐Ping Lin

Kang‐Ping Lin is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 46 papers that have together received 604 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (11 papers), Medical Image Segmentation Techniques (9 papers), ECG Monitoring and Analysis (7 papers), Non-Invasive Vital Sign Monitoring (5 papers), EEG and Brain-Computer Interfaces (5 papers), Advanced MRI Techniques and Applications (5 papers), Heart Rate Variability and Autonomic Control (4 papers) and Digital Imaging for Blood Diseases (3 papers). The work is most often cited by research in Radiation (101 citations), Radiology, Nuclear Medicine and Imaging (201 citations), Cardiology and Cardiovascular Medicine (101 citations), Gastroenterology (23 citations) and Computer Vision and Pattern Recognition (94 citations). Kang‐Ping Lin has collaborated with scholars based in Taiwan, United States and Portugal. Frequent co-authors include Tzung-Chi Huang, Geoffrey Zhang, Thomas Guerrero, Cheng-Lun Tsai, M.E. Phelps, Mei-Fen Chen, Sung‐Cheng Huang, L.R. Baxter, Sung-Cheng Huang and Chih‐Chieh Wu. Their work appears in journals such as Physics in Medicine and Biology, IEEE Transactions on Nuclear Science, Microvascular Research, Journal of X-Ray Science and Technology and Computer Methods and Programs in Biomedicine.

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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