Young-Tack Park

673 total citations
48 papers, 503 citations indexed

About

Young-Tack Park is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Young-Tack Park has authored 48 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Information Systems, 18 papers in Artificial Intelligence and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Young-Tack Park's work include Semantic Web and Ontologies (11 papers), Service-Oriented Architecture and Web Services (9 papers) and Human Mobility and Location-Based Analysis (8 papers). Young-Tack Park is often cited by papers focused on Semantic Web and Ontologies (11 papers), Service-Oriented Architecture and Web Services (9 papers) and Human Mobility and Location-Based Analysis (8 papers). Young-Tack Park collaborates with scholars based in South Korea, United States and Russia. Young-Tack Park's co-authors include Sungyoung Lee, La The Vinh, Brian J. d’Auriol, Adil Khan, Muhammad Hameed Siddiqi, Rahman Ali, Jemin Kim, Jung-Hwa Choi, Min‐Sung Kim and Hyo-Won Suh and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and Applied Intelligence.

In The Last Decade

Young-Tack Park

30 papers receiving 451 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Young-Tack Park South Korea 8 249 210 92 61 51 48 503
Dawei Zhou United States 15 134 0.5× 355 1.7× 42 0.5× 58 1.0× 81 1.6× 44 649
Linqin Cai China 13 144 0.6× 167 0.8× 59 0.6× 29 0.5× 56 1.1× 47 469
Faliang Huang China 13 152 0.6× 396 1.9× 36 0.4× 133 2.2× 26 0.5× 50 702
Szymon Bobek Poland 11 91 0.4× 143 0.7× 59 0.6× 67 1.1× 33 0.6× 38 352
Yin Zhu Hong Kong 9 154 0.6× 235 1.1× 33 0.4× 57 0.9× 11 0.2× 13 476
Shuangfei Zhai United States 11 279 1.1× 310 1.5× 28 0.3× 66 1.1× 15 0.3× 16 577
Ashim Saha India 9 181 0.7× 110 0.5× 54 0.6× 33 0.5× 13 0.3× 32 379
Chokri Ben Amar Tunisia 16 603 2.4× 132 0.6× 87 0.9× 46 0.8× 17 0.3× 69 774
Binh T. Nguyen Vietnam 14 165 0.7× 173 0.8× 38 0.4× 43 0.7× 18 0.4× 69 512

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-authorship network of co-authors of Young-Tack Park

This figure shows the co-authorship network connecting the top 25 collaborators of Young-Tack Park. A scholar is included among the top collaborators of Young-Tack Park 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 Young-Tack Park. Young-Tack Park 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
1.
Park, Hyunkyu, et al.. (2019). A UAV Situational Awareness Method through the Threat-Related Relation Reasoning between UAV and Surrounding Objects. Journal of KIISE. 46(2). 141–153. 1 indexed citations
2.
Park, Hyunkyu, et al.. (2018). Approach for Learning Intention Prediction Model based on Recurrent Neural Network. Journal of KIISE. 45(4). 360–369. 3 indexed citations
3.
Park, Young-Tack, et al.. (2018). A Study on Distributed Parallel SWRL Inference in an In-Memory-Based Cluster Environment. Journal of KIISE. 45(3). 224–233.
4.
5.
Park, Young-Tack, et al.. (2015). ABox Realization Reasoning in Distributed In-Memory System. Journal of KIISE. 42(7). 852–859.
6.
Kwon, Soonhyun, et al.. (2015). Real-time and Parallel Semantic Translation Technique for Large-Scale Streaming Sensor Data in an IoT Environment. Journal of KIISE. 42(1). 54–67. 7 indexed citations
7.
Park, Young-Tack, et al.. (2012). GPS based Smartphone Users' Personal Route Model Learning and Moving Route Prediction. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 39(1). 56–65. 1 indexed citations
8.
Kim, Jemin, et al.. (2012). GPS Noise Reduction and Trajectories Simplification for Personal Routes Learning in Close Range. 39(4). 260–269. 2 indexed citations
9.
Kim, Jemin & Young-Tack Park. (2012). GPS-based Noise Reduction Approach for Trajectory Recognition. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 39(4). 328–337. 2 indexed citations
10.
Choi, Jung-Hwa, et al.. (2012). Semantic Point of Interest Detection from Large-scale GPS Data of Mobile Users. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 39(3). 175–184. 3 indexed citations
11.
Heo, Min-Oh, et al.. (2012). Real-time Route Inference and Learning for Smartphone Users using Probabilistic Graphical Models. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 39(6). 425–435. 6 indexed citations
12.
Kim, Mi-Hwa, et al.. (2011). MOnCa: Framework for Ontology-based Context Aware Smart Phone Applications. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 38(7). 369–381. 2 indexed citations
13.
Choi, Jung-Hwa, et al.. (2011). Rule-based Context Modelling for Context-aware Services in Smart Phone Environments. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 38(3). 144–156. 2 indexed citations
14.
Park, Sang-Won, et al.. (2009). An Expert Recommendation System using Ontology-based Social Network Analysis. Jeongbo gwahaghoe nonmunji. keompyuting ui silje. 15(5). 390–394. 1 indexed citations
15.
Choi, Jung-Hwa & Young-Tack Park. (2009). A Dynamic Service Supporting Model for Semantic Web-based Situation Awareness Service. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 36(9). 732–748.
16.
Kim, Jemin & Young-Tack Park. (2006). Web Contents Recommendation based on Ontology. 294–299. 1 indexed citations
17.
Choi, Jung-Hwa & Young-Tack Park. (2006). Ontology-based Automated Metadata Generation Considering Semantic Ambiguity. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 33(11). 986–998.
18.
Park, Young-Tack. (2004). Context Awareness in Ubiquitous Computing. 119–136. 1 indexed citations
19.
Cho, We‐Duke, et al.. (2004). Context-Awareness for Ubiquitous Computing System. 158–161. 1 indexed citations
20.
Park, Young-Tack & David C. Wilkins. (1990). Establishing the coherence of an explanation to improve refinement of an incomplete knowledge base. National Conference on Artificial Intelligence. 511–516. 8 indexed citations

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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