Jee‐In Kim

1.1k citations
57 papers · 752 indexed · h-index 13

Jee‐In Kim

54 papers receiving 728 citations

Peers

Jee‐In Kim
Comparison fields: 5 of 144
  • Human-Computer Interaction 95
  • Otorhinolaryngology 41
  • Computer Vision and Pattern Recognition 158
  • Applied Psychology 26
  • Cancer Research 53
Replace Muhammad Arsalan with:
Muhammad Arsalan South Korea
Guido Brunnett Germany
Hendry Hendry Indonesia
Yingying Zhao China
Marco Agus Qatar
Wanwan Li United States
Lisa Li United States
Longsheng Wei China
Jee‐In Kim relative to Muhammad Arsalan South Korea Muhammad Arsalan's profile →
Citations per field
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Muhammad Arsalan · 1×
Citations per year

Countries citing papers authored by Jee‐In Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jee‐In Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jee‐In Kim. 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 Jee‐In Kim. The network helps show where Jee‐In Kim may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 202323
3 202320
4 202137
5 20198
6 201814
7
An Augmented Reality Application with Hand Gestures to Support Studying Geometry
20162
8 201632
9
Case Study on Natural Interaction of Multi-touch Interface and Its Application
20121
10
A real-time sand simulation using a GPU
20123
11 201275
12 20126
13 20122
14 20114
15 20100
16 20104
17
Emotion Recognition System Using Neural Networks in Textile Images
20071
18 20079
19 2005174
20 20047

About Jee‐In Kim

Jee‐In Kim is a scholar working on Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Space and Planetary Science, having authored 57 papers that have together received 752 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (13 papers), Augmented Reality Applications (9 papers), Tactile and Sensory Interactions (8 papers), Multimedia Communication and Technology (5 papers), Computer Graphics and Visualization Techniques (4 papers), Scientific Computing and Data Management (4 papers), Teleoperation and Haptic Systems (4 papers) and Bone Metabolism and Diseases (3 papers). The work is most often cited by research in Human-Computer Interaction (95 citations), Otorhinolaryngology (41 citations) and Computer Vision and Pattern Recognition (158 citations). Jee‐In Kim has collaborated with scholars based in South Korea, United States and Spain. Frequent co-authors include Hyung Seok Kim, Seung‐Kyu Chung, Yang Na, Jaehun Bang, Suk‐Chul Bae, Kang‐Young Choi, Xin‐Zi Chi, Je‐Yong Choi, Youn Jeong Kim and Je‐Yoel Cho. Their work appears in journals such as Sensors, Journal of Biomechanics, BMB Reports, IEEE Transactions on Human-Machine Systems and International Journal of Human-Computer Interaction.

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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