Youngchoon Park

792 total citations · 1 hit paper
17 papers, 443 citations indexed

About

Youngchoon Park is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Youngchoon Park has authored 17 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 5 papers in Management Science and Operations Research. Recurrent topics in Youngchoon Park's work include Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers) and Data Quality and Management (5 papers). Youngchoon Park is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers) and Data Quality and Management (5 papers). Youngchoon Park collaborates with scholars based in United States and South Korea. Youngchoon Park's co-authors include AnHai Doan, Ganesh Krishnan, Esteban Arcaute, Sidharth Mudgal, Han Li, Theodoros Rekatsinas, Forouzan Golshani, Sanjib Das, Paul Suganthan and Jeffrey F. Naughton and has published in prestigious journals such as Proceedings of the VLDB Endowment, Multimedia Tools and Applications and Journal of Intelligent & Robotic Systems.

In The Last Decade

Youngchoon Park

14 papers receiving 407 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Learning for Entity Matching

2018 282 citations Sidharth Mudgal, Han Li et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Youngchoon Park United States	8	322	307	113	61	60	17	443
Héléna Galhardas Portugal	8	223 0.7×	341 1.1×	221 2.0×	25 0.4×	251 4.2×	33	514
Gengxin Miao United States	8	216 0.7×	148 0.5×	269 2.4×	45 0.7×	136 2.3×	11	420
Varish Mulwad United States	9	198 0.6×	115 0.4×	220 1.9×	16 0.3×	123 2.0×	21	359
Sukriti Ramesh Switzerland	5	309 1.0×	175 0.6×	87 0.8×	39 0.6×	69 1.1×	7	523
Yile Liang China	7	185 0.6×	51 0.2×	299 2.6×	80 1.3×	36 0.6×	10	393
Lipyeow Lim United States	12	221 0.7×	64 0.2×	121 1.1×	31 0.5×	216 3.6×	32	361
Benjamin Cogrel Italy	5	294 0.9×	105 0.3×	100 0.9×	25 0.4×	134 2.2×	6	366
Chengfeng Xu China	6	414 1.3×	116 0.4×	481 4.3×	100 1.6×	56 0.9×	7	548
Sérgio Canuto Brazil	13	333 1.0×	37 0.1×	114 1.0×	45 0.7×	19 0.3×	25	424
Paolo Rosso Switzerland	7	182 0.6×	28 0.1×	87 0.8×	45 0.7×	23 0.4×	16	292

Countries citing papers authored by Youngchoon Park

Since Specialization

Citations

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

Fields of papers citing papers by Youngchoon Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youngchoon Park

This figure shows the co-authorship network connecting the top 25 collaborators of Youngchoon Park. A scholar is included among the top collaborators of Youngchoon 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 Youngchoon Park. Youngchoon Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

1.

Konda, Pradap, Paul Suganthan, N. Palaniappan, et al.. (2019). Entity Matching Meets Data Science. 389–403. 12 indexed citations

2.

Paulson, Erik K., et al.. (2018). Cloudmatcher. Proceedings of the VLDB Endowment. 11(12). 2042–2045. 10 indexed citations

3.

Li, Han, Pradap Konda, AnHai Doan, et al.. (2018). MatchCatcher: A Debugger for Blocking in Entity Matching. Movebank. 9 indexed citations

4.

Mudgal, Sidharth, Han Li, Theodoros Rekatsinas, et al.. (2018). Deep Learning for Entity Matching. 19–34. 282 indexed citations breakdown →

5.

Das, Sanjib, Paul Suganthan, AnHai Doan, et al.. (2017). Falcon. 1431–1446. 63 indexed citations

6.

Park, Youngchoon, et al.. (2017). Building an Effective IoT Ecosystem for Your Business. DIAL (Catholic University of Leuven). 13 indexed citations

7.

Morellas, Vassilios, et al.. (2010). Dictionary learning based object detection and counting in traffic scenes. 42–48. 7 indexed citations

8.

Fehr, Duc, et al.. (2009). Counting People in Groups. 152–157. 20 indexed citations

9.

Golshani, Forouzan, et al.. (2004). A Multimedia Information Repository for Cross Cultural Dance Studies. Multimedia Tools and Applications. 24(2). 89–103. 11 indexed citations

10.

Park, Youngchoon, et al.. (2003). The Measurement of Pedestrian Speed in Central Business District. 15(2). 113–126.

11.

Park, Youngchoon. (2000). Efficient tools for power annotation of visual contents. 426–428. 1 indexed citations

12.

Park, Youngchoon, et al.. (2000). <title>Conceptualization and ontology: tools for efficient storage and retrieval of semantic visual information</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4210. 37–48.

13.

Park, Youngchoon, et al.. (2000). MP7TV. 505–506.

14.

Golshani, Forouzan & Youngchoon Park. (1999). Perspective: A Standards-Based System for Manufacturing Information Integration. Journal of Intelligent & Robotic Systems. 26(3-4). 231–247. 7 indexed citations

15.

Park, Youngchoon, Forouzan Golshani, Sethuraman Panchanathan, & K. Selçuk Candan. (1998). <title>Interactive classification and indexing of still and motion pictures in VideoRoadMap</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3527. 122–133. 1 indexed citations

16.

Park, Youngchoon, et al.. (1998). <title>Personalized image retrieval with user's preference model</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3527. 47–55. 3 indexed citations

17.

Golshani, Forouzan & Youngchoon Park. (1997). <title>Content-based image indexing and retrieval system in ImageRoadMap</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3229. 194–205. 4 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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