H. Kwon

597 total citations
16 papers, 204 citations indexed

About

H. Kwon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biophysics. According to data from OpenAlex, H. Kwon has authored 16 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Biophysics. Recurrent topics in H. Kwon's work include Face recognition and analysis (4 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Video Surveillance and Tracking Methods (3 papers). H. Kwon is often cited by papers focused on Face recognition and analysis (4 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Video Surveillance and Tracking Methods (3 papers). H. Kwon collaborates with scholars based in South Korea and Japan. H. Kwon's co-authors include Nam Ik Cho, Hyung Il Koo, Nam Soo Kim, Jong Won Shin, Seok Hee Lee, Yoonsik Kim, Sang Yoon Han, Jae Woong Soh, Jae‐Heon Kang and Nack‐Gyun Chung and has published in prestigious journals such as Applied Physics Letters, IEEE Access and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

H. Kwon

15 papers receiving 198 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Kwon South Korea 8 69 63 32 30 20 16 204
Yuru Pei China 10 51 0.7× 149 2.4× 23 0.7× 38 1.3× 15 0.8× 41 317
Paul P. van Saarloos Australia 11 40 0.6× 150 2.4× 26 0.8× 5 0.2× 24 1.2× 30 412
Pengcheng Gao China 7 20 0.3× 86 1.4× 3 0.1× 57 1.9× 15 0.8× 25 238
Frank Förster United Kingdom 10 5 0.1× 187 3.0× 18 0.6× 26 0.9× 21 1.1× 29 320
Yu Han China 11 12 0.2× 206 3.3× 28 0.9× 14 0.5× 14 0.7× 41 313
Qin Cai United States 8 19 0.3× 133 2.1× 15 0.5× 6 0.2× 6 0.3× 10 239
Cayetano Guerra Spain 5 27 0.4× 100 1.6× 2 0.1× 10 0.3× 5 0.3× 6 358
Miaomiao Cui China 9 9 0.1× 218 3.5× 34 1.1× 38 1.3× 5 0.3× 23 286
Stephen O′Hara United States 7 6 0.1× 46 0.7× 4 0.1× 33 1.1× 5 0.3× 20 177
Zhiqiang Qin China 10 12 0.2× 30 0.5× 17 0.5× 59 2.0× 106 5.3× 31 312

Countries citing papers authored by H. Kwon

Since Specialization
Citations

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

Fields of papers citing papers by H. Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Kwon

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

All Works

16 of 16 papers shown
2.
Kwon, H., Hyung Il Koo, & Nam Ik Cho. (2022). Understanding and explaining convolutional neural networks based on inverse approach. Cognitive Systems Research. 77. 142–152. 3 indexed citations
3.
Kwon, H., Hyung Il Koo, Jae Woong Soh, & Nam Ik Cho. (2021). Inverse-Based Approach to Explaining and Visualizing Convolutional Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 33(12). 7318–7329. 10 indexed citations
4.
Kwon, H., et al.. (2021). Multistage Probabilistic Approach for the Localization of Cephalometric Landmarks. IEEE Access. 9. 21306–21314. 13 indexed citations
5.
Kwon, H., Hyung Il Koo, & Nam Ik Cho. (2021). Improving Explainability of Integrated Gradients with Guided Non-Linearity. abs 1610 2391. 385–391. 3 indexed citations
6.
Han, Sang Yoon, H. Kwon, Yoonsik Kim, & Nam Ik Cho. (2020). Noise-Robust Pupil Center Detection Through CNN-Based Segmentation With Shape-Prior Loss. IEEE Access. 8. 64739–64749. 23 indexed citations
8.
Kwon, H., Hyung Il Koo, Jae Woong Soh, & Nam Ik Cho. (2019). Age Estimation Using Trainable Gabor Wavelet Layers In A Convolutional Neural Network. 3626–3630. 6 indexed citations
9.
Lee, Seok Hee, et al.. (2018). Age and gender classification using wide convolutional neural network and Gabor filter. 1–3. 39 indexed citations
10.
Lee, Seok Hee, et al.. (2018). Age and gender estimation using deep residual learning network. 16 indexed citations
11.
Kwon, H., et al.. (2017). Multiple face tracking method in the wild using color histogram features. 51–55. 1 indexed citations
12.
Kwon, H., Jae Wook Lee, Nack‐Gyun Chung, et al.. (2012). Life-threatening Scrub Typhus with Hemophagocytosis and Acute Respiratory Distress Syndrome in an Infant. Journal of Tropical Pediatrics. 59(1). 67–69. 21 indexed citations
13.
Kwon, H., et al.. (2012). Rendering of human skin during physical exercise. 1–1. 1 indexed citations
14.
Kwon, H., et al.. (2008). Experimental Study of Interfacial Shear Stress for an Analogy Model of Evaporative Heat Transfer. Journal of Nuclear Science and Technology. 45(6). 487–497. 4 indexed citations
15.
Shin, Jong Won, et al.. (2008). Voice Activity Detection Based on Conditional MAP Criterion. IEEE Signal Processing Letters. 15. 257–260. 50 indexed citations
16.
Kwon, H., et al.. (2007). Effects of Al content on the electrical properties of LaxAlyOz films grown on TiN substrate by atomic layer deposition. Applied Physics Letters. 90(10). 12 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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