Yen‐Chun Chen

1.1k citations
28 papers · 610 indexed · 1 hit paper · h-index 9
Topics
Salivary Gland Tumors Diagnosis and Treatment (7 papers)Salivary Gland Disorders and Functions (6 papers)Tracheal and airway disorders (2 papers)

In The Last Decade

Yen‐Chun Chen

26 papers receiving 594 citations

Hit Papers

HERO: Hierarchical Encoder for Video+Language Omni-repres...2020202620222024202050100150200250

Peers

Yen‐Chun Chen
Comparison fields: 5 of 109
  • Computer Vision and Pattern Recognition 278
  • Artificial Intelligence 149
  • Molecular Biology 136
  • Surgery 56
  • Genetics 51
Replace Rashmi Mukherjee with:
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Yen‐Chun Chen relative to Rashmi Mukherjee India Rashmi Mukherjee's profile →
Citations per field
00.5×4.3×
Rashmi Mukherjee · 1×
Citations per year

Countries citing papers authored by Yen‐Chun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yen‐Chun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yen‐Chun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yen‐Chun Chen. A scholar is included among the top collaborators of Yen‐Chun Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yen‐Chun Chen. Yen‐Chun Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 5
4 0
5 40
6 5
7 1
8 2
9 2
10 1
11
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-trainingbreakdown →
265
12 10
13 2
14 10
15 12
16
Association between Scores of Falls Efficacy Scale-International and Characteristics among Community-Dwelling Elders in Taipei
1
17 174
18 1
19 19
20 5

About Yen‐Chun Chen

Yen‐Chun Chen is a scholar working on Otorhinolaryngology, Periodontics and Oral Surgery, having authored 28 papers that have together received 610 indexed citations. Recurring topics across this work include Salivary Gland Tumors Diagnosis and Treatment (7 papers), Salivary Gland Disorders and Functions (6 papers) and Tracheal and airway disorders (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (278 citations), Periodontics (23 citations) and Artificial Intelligence (149 citations). Yen‐Chun Chen has collaborated with scholars based in Taiwan, Vietnam and United States. Frequent co-authors include Yu Cheng, Zhe Gan, Linjie Li, Jingjing Liu, Licheng Yu, Tzen‐Yuh Chiang, Tsunglin Liu, Yu-Chiang Frank Wang, Ming‐Nan Lin and Cheng Yu. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and IEEE Access.

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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