Sungmoon Jeong

760 citations
56 papers · 433 indexed · h-index 11
Topics
Target Tracking and Data Fusion in Sensor Networks (9 papers)Social Robot Interaction and HRI (8 papers)Visual Attention and Saliency Detection (7 papers)

In The Last Decade

Sungmoon Jeong

46 papers receiving 424 citations

Peers

Sungmoon Jeong
Comparison fields: 5 of 93
  • Computer Vision and Pattern Recognition 156
  • Artificial Intelligence 114
  • Social Psychology 78
  • Control and Systems Engineering 57
  • Aerospace Engineering 51
Replace Frederic D. McKenzie with:
Frederic D. McKenzie United States
Steve Maddock United Kingdom
Nurullah Akkaya Cyprus
Munaf Rashid Pakistan
Kazunori Kotani Japan
Byoung‐Ju Yun South Korea
Ryo Takahashi Japan
Sezer Ulukaya Türkiye
Norliza Mohd Noor Malaysia
Patrick Saalfeld Germany
Sungmoon Jeong relative to Frederic D. McKenzie United States Frederic D. McKenzie's profile →
Citations per field
00.5×10×
Frederic D. McKenzie · 1×
Citations per year

Countries citing papers authored by Sungmoon Jeong

Since Specialization
Citations

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

Fields of papers citing papers by Sungmoon Jeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungmoon Jeong

This figure shows the co-authorship network connecting the top 25 collaborators of Sungmoon Jeong. A scholar is included among the top collaborators of Sungmoon Jeong 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 Sungmoon Jeong. Sungmoon Jeong 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 0
2 0
3 0
4 0
5 0
6 0
7 3
8 1
9 0
10 1
11 4
12 0
13 36
14 3
15 6
16 10
17 24
18 3
19 14
20 15

About Sungmoon Jeong

Sungmoon Jeong is a scholar working on General Dentistry, Issues, ethics and legal aspects and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 433 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (9 papers), Social Robot Interaction and HRI (8 papers) and Visual Attention and Saliency Detection (7 papers). The work is most often cited by research in General Dentistry (19 citations), Computer Vision and Pattern Recognition (156 citations) and Human-Computer Interaction (28 citations). Sungmoon Jeong has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Nak Young Chong, Minho Lee, Sang-Woo Ban, Itthisek Nilkhamhang, Eun‐Kyong Kim, Qing Zhang, Jun Tani, Hiroaki Arie, Matthew T. Mason and Jaechan Park. Their work appears in journals such as PLoS ONE, Scientific Reports and The American Journal of Gastroenterology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026