Sangho Park

1.7k citations
41 papers · 1.2k indexed · h-index 15

Sangho Park

36 papers receiving 1.1k citations

Peers

Sangho Park
Comparison fields: 5 of 108
  • Computer Vision and Pattern Recognition 586
  • Human-Computer Interaction 123
  • Ophthalmology 156
  • Oncology 249
  • Artificial Intelligence 206
Replace Muhammad Arsalan with:
Muhammad Arsalan South Korea
Bilal Hassan Pakistan
Valery Naranjo Spain
Pantelis A. Asvestas Greece
Miao Liao China
Ce Wang China
Florian Hoppe Germany
Gavriel J. Iddan United Kingdom
Liangqiong Qu China
Toru Tamaki Japan
Sangho Park relative to Muhammad Arsalan South Korea Muhammad Arsalan's profile →
Citations per field
00.5×3.1×
Muhammad Arsalan · 1×
Citations per year

Countries citing papers authored by Sangho Park

Since Specialization
Citations

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

Fields of papers citing papers by Sangho Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20255
3 20250
4 20245
5 20242
6 20228
7 20223
8 20185
9 201651
10 20111
11
Privacy-Preserving Recognition of Activities in Daily Living from Multi-view Silhouettes and RFID-based Training.
200811
12 200816
13 20071
14 200668
15 200619
16
A Study on the usage behavior for electronic book activation: Emphasized on research of audience opinion
20050
17 200483
18 200212
19
THE N-TH PRETOPOLOGICAL MODIFICATION OF CONVERGENCE SPACES
19960
20 1989358

About Sangho Park

Sangho Park is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (14 papers), Human Pose and Action Recognition (12 papers), Anomaly Detection Techniques and Applications (8 papers), Advanced Vision and Imaging (5 papers), Context-Aware Activity Recognition Systems (3 papers), Gait Recognition and Analysis (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Hand Gesture Recognition Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (586 citations), Human-Computer Interaction (123 citations) and Ophthalmology (156 citations). Sangho Park has collaborated with scholars based in United States and South Korea. Frequent co-authors include J.K. Aggarwal, Mohan M. Trivedi, Susan Canning, Thaddeus P. Dryja, Peter Whyte, Ed Harlow, David W. Yandell, Karen Buchkovich, Jonathan M. Horowitz and Robert A. Weinberg. Their work appears in journals such as Science, Scientific Reports and American Journal of Kidney Diseases.

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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