Kuan‐Ting Chen

686 citations
49 papers · 535 · h-index 13

Impact in

    • Dental Implant Techniques and Outcomes
    • Dental Radiography and Imaging
    • Speech and Audio Processing
    • Music and Audio Processing

Papers in

Kuan‐Ting Chen

45 papers receiving 504 citations

Peers

Kuan‐Ting Chen
Comparison fields: 5 of 87
  • Oral Surgery 107
  • Signal Processing 124
  • Orthodontics 32
  • Computer Vision and Pattern Recognition 140
  • Artificial Intelligence 139
Replace Ngoc Tuyen Le with:
Ngoc Tuyen Le Taiwan
Vishal Bharti India
Narendra Patel India
Han-Yu Lin Taiwan
Injung Kim South Korea
Sergio Cabrero Spain
Sachin Deshpande United States
Hong‐Yi Chang Taiwan
Drew Davidson United States
Kuan‐Ting Chen relative to Ngoc Tuyen Le Taiwan Ngoc Tuyen Le's profile →
Citations per field
00.5×10×20×26.8×
Ngoc Tuyen Le · 1×
Citations per year

Countries citing papers authored by Kuan‐Ting Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kuan‐Ting Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan‐Ting 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 Kuan‐Ting Chen. The network helps show where Kuan‐Ting Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200083
2 201162
3 200952
4 201051
5 201035
6 200828
7 201722
8 200220
9 200517
10 202114
11 201114
12 200514
13 202013
14 20229
15 20099
16 20228
17 20207
18 20127
19 20196
20 20126

About Kuan‐Ting Chen

Kuan‐Ting Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Organic Chemistry and Computer Networks and Communications, having authored 49 papers that have together received 535 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Speech and Audio Processing (6 papers), Sulfur-Based Synthesis Techniques (5 papers), Speech Recognition and Synthesis (5 papers), Interactive and Immersive Displays (4 papers), Catalytic C–H Functionalization Methods (4 papers), Advanced Data Storage Technologies (4 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Oral Surgery (107 citations), Signal Processing (124 citations), Orthodontics (32 citations), Computer Vision and Pattern Recognition (140 citations) and Artificial Intelligence (139 citations). Kuan‐Ting Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Hsin‐Min Wang, Winston H. Hsu, Heng‐Li Huang, Yufen Li, Jui‐Ting Hsu, Lin-shan Lee, Yin-Hsi Kuo, Meng‐Yang Chang, Jiebo Luo and Ming‐Gene Tu. Their work appears in journals such as Synthesis, Advanced Synthesis & Catalysis, Clinical Oral Implants Research, Inorganic Chemistry and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

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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