Young Ho Kwon

407 total citations
9 papers, 272 citations indexed

About

Young Ho Kwon is a scholar working on Computer Vision and Pattern Recognition, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Young Ho Kwon has authored 9 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Surgery and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Young Ho Kwon's work include Face recognition and analysis (3 papers), Peripheral Nerve Disorders (2 papers) and Face and Expression Recognition (2 papers). Young Ho Kwon is often cited by papers focused on Face recognition and analysis (3 papers), Peripheral Nerve Disorders (2 papers) and Face and Expression Recognition (2 papers). Young Ho Kwon collaborates with scholars based in South Korea and United States. Young Ho Kwon's co-authors include Niels da Vitoria Lobo, Gun Woo Lee, Se Hwan Kwon, Tae Won Lee, Joo Hyeong Oh, Kyung Hwan Jeong, Chang‐Su Kim, Tae‐Gyun Kim, Joon Heo and Sangyoon Park and has published in prestigious journals such as Journal of Vascular and Interventional Radiology, Journal of Korean Neurosurgical Society and Clinics in Orthopedic Surgery.

In The Last Decade

Young Ho Kwon

7 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Young Ho Kwon South Korea	5	230	67	20	19	19	9	272
Shixing Chen United States	7	266 1.2×	54 0.8×	2 0.1×	78 4.1×	15 0.8×	13	316
Andreas Morel-Forster Switzerland	4	125 0.5×	22 0.3×	5 0.3×	38 2.0×	4 0.2×	4	162
Georgios Passalis Greece	5	401 1.7×	178 2.7×	24 1.2×	2 0.1×	4 0.2×	6	423
Marco Piccirilli United States	7	100 0.4×	22 0.3×	5 0.3×	38 2.0×	22 1.2×	8	182
Amir Jamaludin United Kingdom	5	120 0.5×	80 1.2×	13 0.7×	20 1.1×	7 0.4×	6	164
Marc Liévin Germany	6	117 0.5×	37 0.6×	10 0.5×	4 0.2×	7 0.4×	9	152
Abdelkrim Ouafi Algeria	8	122 0.5×	45 0.7×	1 0.1×	19 1.0×	16 0.8×	28	160
Johannes Keustermans Belgium	5	190 0.8×	43 0.6×	3 0.1×	6 0.3×	7 0.4×	10	217
Shengju Qian Hong Kong	5	170 0.7×	20 0.3×	2 0.1×	45 2.4×	3 0.2×	8	190
Hyunsuk Ko South Korea	9	245 1.1×	89 1.3×	24 1.2×	9 0.5×	71 3.7×	26	340

Countries citing papers authored by Young Ho Kwon

Since Specialization

Citations

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

Fields of papers citing papers by Young Ho Kwon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Ho Kwon. 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 Ho Kwon. The network helps show where Young Ho Kwon may publish in the future.

Co-authorship network of co-authors of Young Ho Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Young Ho Kwon. A scholar is included among the top collaborators of Young Ho Kwon 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 Ho Kwon. Young Ho Kwon 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:

9 of 9 papers shown

1.

Kwon, Young Ho, et al.. (2024). Training Data Sensitivity Analysis of Deep Neural Network for Differentiating Construction Laborers with/without Safety Helmets. 516–524.

2.

Kim, Tae‐Gyun, et al.. (2019). Is It Radiculopathy or Referred Pain? Buttock Pain in Spinal Stenosis Patients. Clinics in Orthopedic Surgery. 11(1). 89–89. 4 indexed citations

3.

Kwon, Young Ho, Se Hwan Kwon, Joo Hyeong Oh, Kyung Hwan Jeong, & Tae Won Lee. (2014). Fluoroscopic Guide Wire Manipulation of Malfunctioning Peritoneal Dialysis Catheters Initially Placed by Interventional Radiologists. Journal of Vascular and Interventional Radiology. 25(6). 904–910. 9 indexed citations

4.

Lee, Gun Woo & Young Ho Kwon. (2012). The Purport of Steroid Treatment in the Weakness Phase of Parsonage-Turner Syndrome. The Journal of the Korean Orthopaedic Association. 47(4). 311–311. 2 indexed citations

5.

Lee, Gun Woo, et al.. (2011). The Efficacy of Scalene Injection in Thoracic Outlet Syndrome. Journal of Korean Neurosurgical Society. 50(1). 36–36. 15 indexed citations

6.

Kwon, Young Ho & Niels da Vitoria Lobo. (2002). Face detection using templates. Journal of International Crisis and Risk Communication Research. 1. 764–767. 15 indexed citations

7.

Kwon, Young Ho, et al.. (1998). Reconstruction Options after Surgical Resection in Muskuloskeletal Tumors of the Extremity. The Journal of the Korean Orthopaedic Association. 33(3). 624–624.

8.

Kwon, Young Ho, et al.. (1994). Age classification from facial images. 762–767. 213 indexed citations

9.

Kwon, Young Ho & Niels da Vitoria Lobo. (1993). <title>Locating facial features for age classification</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2055. 62–72. 14 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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