Lun-Chi Chen

413 citations
28 papers · 238 · h-index 10

Impact in

Papers in

Lun-Chi Chen

27 papers receiving 231 citations

Peers

Lun-Chi Chen
Comparison fields: 5 of 95
  • Health Informatics 20
  • Industrial and Manufacturing Engineering 33
  • Computer Vision and Pattern Recognition 63
  • Health Information Management 13
  • Media Technology 23
Replace Wasif Khan with:
Wasif Khan United Arab Emirates
Shuang Liang China
Pradeep Kumar Singh India
Ahmad MohdAziz Hussein Saudi Arabia
Ravinder Kaur India
Mamta Kathuria India
Ştefan Holban Romania
Junhyug Noh South Korea
Edoardo Prezioso Italy
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Citations per field
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Wasif Khan · 1×
Citations per year

Countries citing papers authored by Lun-Chi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lun-Chi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lun-Chi Chen. 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 Lun-Chi Chen. The network helps show where Lun-Chi Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202032
2 202229
3 202123
4 202322
5 201421
6 202214
7 202110
8 201510
9 202210
10 20219
11 20207
12 20216
13 20166
14 20235
15 20215
16 20234
17 20194
18 20193
19 20143
20 20143

About Lun-Chi Chen

Lun-Chi Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Global and Planetary Change, Computer Networks and Communications and Information Systems, having authored 28 papers that have together received 238 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Industrial Vision Systems and Defect Detection (4 papers), Flood Risk Assessment and Management (4 papers), Machine Learning in Healthcare (4 papers), Sepsis Diagnosis and Treatment (4 papers), Image Enhancement Techniques (4 papers), Surface Roughness and Optical Measurements (3 papers) and Image and Object Detection Techniques (3 papers). The work is most often cited by research in Health Informatics (20 citations), Industrial and Manufacturing Engineering (33 citations), Computer Vision and Pattern Recognition (63 citations), Health Information Management (13 citations) and Media Technology (23 citations). Lun-Chi Chen has collaborated with scholars based in Taiwan and India. Frequent co-authors include Ruey‐Kai Sheu, Kai-Chih Pai, Chieh‐Liang Wu, I‐En Liao, Win‐Tsung Lo, Wei-Cheng Chen, Chia‐Yu Chen, Fang‐Pang Lin, Yunfeng Chen and Po‐Yu Liu. Their work appears in journals such as Sensors, IEEE Access, Applied Sciences, Journal of Clinical Medicine and Electronics.

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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