Jaeyeon Lee

900 citations
66 papers · 603 indexed · h-index 13

Jaeyeon Lee

61 papers receiving 573 citations

Peers

Jaeyeon Lee
Comparison fields: 5 of 78
  • Human-Computer Interaction 176
  • Computer Vision and Pattern Recognition 285
  • Cognitive Neuroscience 146
  • Industrial and Manufacturing Engineering 43
  • Leadership and Management 4
Replace Arnulph Fuhrmann with:
Arnulph Fuhrmann Germany
Hooman Samani Taiwan
Egils Avots Estonia
Rainer Herpers Germany
Lau Bee Theng Malaysia
Stephen Hughes United States
Chaitanya Gharpure United States
Patrick Bourdot France
Kazuki Takashima Japan
Ryo Yonetani Japan
Jaeyeon Lee relative to Arnulph Fuhrmann Germany Arnulph Fuhrmann's profile →
Citations per field
00.5×1.5×2.4×
Arnulph Fuhrmann · 1×
Citations per year

Countries citing papers authored by Jaeyeon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jaeyeon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaeyeon Lee. 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 Jaeyeon Lee. The network helps show where Jaeyeon Lee may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20242
3 20243
4 20217
5 20211
6 20212
7 20208
8 202053
9 20169
10
The Relationship Between Emotion Neglect and Children's Ego Resilience and School-Related Adjustment
20112
11 20111
12
The Effectiveness of Problem-Solving Treatment on Geriatric Depression
20102
13 20106
14
The effects of the ‘Taegyo’ program using art therapy techniques on the anxiety, postpartum depression and maternal identity of pregnant women
20062
15 20062
16
Analysis of Research in the Korean Journals of Play therapy
20051
17
The Violation of Children’s Rights Committed by Child Pornography on the Internet
20053
18
Parent Education for Preventing Child Abuse and Neglect
20040
19
Nature and effect of child abuse in reported child abuse
20035
20
Child Abuse and Child, Parent, and Family Characteristics
20034

About Jaeyeon Lee

Jaeyeon Lee is a scholar working on Computer Vision and Pattern Recognition, Leadership and Management and Human-Computer Interaction, having authored 66 papers that have together received 603 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (11 papers), Robotics and Sensor-Based Localization (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Face recognition and analysis (6 papers), Psychosocial Factors Impacting Youth (6 papers), Video Surveillance and Tracking Methods (6 papers), Industrial Vision Systems and Defect Detection (6 papers) and Social Robot Interaction and HRI (6 papers). The work is most often cited by research in Human-Computer Interaction (176 citations), Computer Vision and Pattern Recognition (285 citations) and Cognitive Neuroscience (146 citations). Jaeyeon Lee has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Jaehong Kim, Dohyung Kim, Christian Holz, Mike Sinclair, Eyal Ofek, Mar González-Franco, Minsu Jang, Geehyuk Lee, Ho‐Sub Yoon and Jinhyeok Jang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

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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