Jiun-Hung Chen

1.3k citations
16 papers · 520 · 1 hit paper · h-index 7

Impact in

Papers in

    • Face and Expression Recognition 5
    • Image Retrieval and Classification Techniques 4
    • Advanced Vision and Imaging 3
    • Optical measurement and interference techniques 2
    • Medical Image Segmentation Techniques 2
    • Image and Object Detection Techniques 2
    • Face recognition and analysis 2

Jiun-Hung Chen

15 papers receiving 491 citations

Jiun-Hung Chen's Hit Papers

MIND: A Large-scale Dataset for News Recommendation 2020 · 249 citations
2490+2+4Years since publication50100150200

Peers

Jiun-Hung Chen
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 210
  • Information Systems 214
  • Artificial Intelligence 266
  • Computer Graphics and Computer-Aided Design 13
  • Media Technology 32
Replace Ilaria Bartolini with:
Ilaria Bartolini Italy
Bin He China
Wenwen Gong China
Zhengquan Xu China
Martin Pfeifle Germany
Ze Wang China
Keith Winstein United States
Karan Sapra United States
Uday Kulkarni India
Guoping Wang United States
Jiun-Hung Chen relative to Ilaria Bartolini Italy Ilaria Bartolini's profile →
Citations per field
00.5×4.5×
Ilaria Bartolini · 1×
Citations per year

Countries citing papers authored by Jiun-Hung Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jiun-Hung Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Jiun-Hung 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 Jiun-Hung Chen Line = papers co-authored together Jiun-Hung Chen links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
MIND: A Large-scale Dataset for News Recommendation
Hit paper breakdown →
2020249
2 200591
3 200366
4 200239
5 200820
6 202318
7 200413
8 20106
9 20045
10 20094
11 20083
12 20093
13 20231
14 20111
15 20031
16 20040

About Jiun-Hung Chen

Jiun-Hung Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Information Systems and Electrical and Electronic Engineering, having authored 16 papers that have together received 520 indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), Image Retrieval and Classification Techniques (4 papers), Advanced Vision and Imaging (3 papers), Optical measurement and interference techniques (2 papers), Medical Image Segmentation Techniques (2 papers), Image and Object Detection Techniques (2 papers), Face recognition and analysis (2 papers) and Advanced Algorithms and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (210 citations), Information Systems (214 citations), Artificial Intelligence (266 citations), Computer Graphics and Computer-Aided Design (13 citations) and Media Technology (32 citations). Jiun-Hung Chen has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Dan B Goldman, Xing Xie, Jianfeng Gao, Chuhan Wu, Fangzhao Wu, Ying Qiao, Tao Qi, Danyang Liu, Ming Zhou and Jianxun Lian. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data, Pattern Recognition, IEEE Transactions on Signal Processing, Expert Systems with Applications and Lecture notes in computer science.

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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