Young-Tack Park

680 citations
52 papers · 504 · h-index 8

Impact in

Papers in

Young-Tack Park

33 papers receiving 458 citations

Peers

Young-Tack Park
Comparison fields: 5 of 92
  • Computer Vision and Pattern Recognition 249
  • Experimental and Cognitive Psychology 90
  • Artificial Intelligence 214
  • Signal Processing 38
  • Human-Computer Interaction 18
Replace R.S. Rajesh with:
R.S. Rajesh India
Linqin Cai China
Ashim Saha India
Borui Cai Australia
Dawei Zhou United States
Shuangfei Zhai United States
Lan Wang China
Juan Yang China
Girdhari Singh India
Anil Kumar Budati India
Young-Tack Park relative to R.S. Rajesh India R.S. Rajesh's profile →
Citations per field
00.5×3.3×
R.S. Rajesh · 1×
Citations per year

Countries citing papers authored by Young-Tack Park

Since Specialization
Citations

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

Fields of papers citing papers by Young-Tack Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015141
2 2011122
3 200755
4 201949
5 201336
6 201910
7 20219
8
Establishing the coherence of an explanation to improve refinement of an incomplete knowledge base
19908
9 20157
10
Real-time Route Inference and Learning for Smartphone Users using Probabilistic Graphical Models
20126
11 20156
12
Probabilistic Graphical Model based Personal Route Prediction in Mobile Environment
20125
13 20145
14 20194
15
Semantic Point of Interest Detection from Large-scale GPS Data of Mobile Users
20123
16 20183
17 19943
18
Rule-based Context Modelling for Context-aware Services in Smart Phone Environments
20112
19
MOnCa: Framework for Ontology-based Context Aware Smart Phone Applications
20112
20 20082

About Young-Tack Park

Young-Tack Park is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing and Transportation, having authored 52 papers that have together received 504 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (13 papers), Service-Oriented Architecture and Web Services (10 papers), Human Mobility and Location-Based Analysis (8 papers), Context-Aware Activity Recognition Systems (7 papers), Technology and Data Analysis (7 papers), Data Management and Algorithms (6 papers), Geographic Information Systems Studies (5 papers) and Data Quality and Management (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (249 citations), Experimental and Cognitive Psychology (90 citations), Artificial Intelligence (214 citations), Signal Processing (38 citations) and Human-Computer Interaction (18 citations). Young-Tack Park has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Sungyoung Lee, Brian J. d’Auriol, La The Vinh, Adil Khan, Muhammad Hameed Siddiqi, Rahman Ali, Jung-Hwa Choi, Jae‐Seung Roh, Min‐Sung Kim and Jemin Kim. Their work appears in journals such as Expert Systems with Applications, Applied Intelligence, IEEE Transactions on Image Processing, Advanced Science Letters and Materials performance.

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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