Dong‐Hwan Har

528 total citations
29 papers, 367 citations indexed

About

Dong‐Hwan Har is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biomedical Engineering. According to data from OpenAlex, Dong‐Hwan Har has authored 29 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 6 papers in Biomedical Engineering. Recurrent topics in Dong‐Hwan Har's work include Anatomy and Medical Technology (6 papers), Image and Video Quality Assessment (5 papers) and Consumer Perception and Purchasing Behavior (4 papers). Dong‐Hwan Har is often cited by papers focused on Anatomy and Medical Technology (6 papers), Image and Video Quality Assessment (5 papers) and Consumer Perception and Purchasing Behavior (4 papers). Dong‐Hwan Har collaborates with scholars based in South Korea and United States. Dong‐Hwan Har's co-authors include Jin Seo Park, Min Suk Chung, Hyung Seon Park, Sung Bae Hwang, Dong Sun Shin, Young Lae Moon, Beom Sun Chung, Joonki Paik, Vivek Maik and Jeongho Shin and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Journal of Forensic Sciences and IEEE Transactions on Consumer Electronics.

In The Last Decade

Dong‐Hwan Har

20 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dong‐Hwan Har South Korea	9	159	121	105	67	42	29	367
D. Meyer‐Ebrecht Germany	11	85 0.5×	130 1.1×	141 1.3×	73 1.1×	10 0.2×	44	449
William D. Richard United States	10	199 1.3×	50 0.4×	230 2.2×	207 3.1×	31 0.7×	30	523
Adrian J. Chung United Kingdom	12	100 0.6×	109 0.9×	223 2.1×	35 0.5×	31 0.7×	19	321
Cristian A. Linte United States	15	309 1.9×	254 2.1×	283 2.7×	199 3.0×	18 0.4×	122	711
Ken’ichi Morooka Japan	11	74 0.5×	81 0.7×	172 1.6×	69 1.0×	32 0.8×	53	402
Alexander Bornik Austria	15	109 0.7×	91 0.8×	376 3.6×	110 1.6×	85 2.0×	39	566
Krishna Subramanyan United States	9	143 0.9×	50 0.4×	182 1.7×	201 3.0×	20 0.5×	44	564
Ihar Volkau Singapore	15	163 1.0×	71 0.6×	229 2.2×	189 2.8×	33 0.8×	29	533
Sean Jy-Shyang Chen Canada	9	141 0.9×	79 0.7×	152 1.4×	108 1.6×	10 0.2×	12	316
Rafael Palomar Norway	10	165 1.0×	129 1.1×	135 1.3×	31 0.5×	10 0.2×	19	312

Countries citing papers authored by Dong‐Hwan Har

Since Specialization

Citations

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

Fields of papers citing papers by Dong‐Hwan Har

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong‐Hwan Har. 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 Dong‐Hwan Har. The network helps show where Dong‐Hwan Har may publish in the future.

Co-authorship network of co-authors of Dong‐Hwan Har

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

All Works

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20 of 20 papers shown

Lee, Daewon, et al.. (2021). Reflectance transformation imaging for documenting changes through treatment of Joseon dynasty coins. Heritage Science. 9(1). 9 indexed citations

Chung, Beom Sun, Chang‐Yeop Jeon, Jae‐Won Huh, et al.. (2019). Rise of the Visible Monkey: Sectioned Images of Rhesus Monkey. Journal of Korean Medical Science. 34(8). e66–e66. 14 indexed citations

Chung, Beom Sun, Miran Han, Dong‐Hwan Har, & Jin Seo Park. (2019). Advanced Sectioned Images of a Cadaver Head with Voxel Size of 0.04 mm. Journal of Korean Medical Science. 34(34). e218–e218. 7 indexed citations

Har, Dong‐Hwan, et al.. (2013). Optimum Parameter Ranges on Highly Preferred Images: Focus on Dynamic Range, Color, and Contrast. The Journal of the Korea Contents Association. 13(1). 9–18.

Har, Dong‐Hwan, et al.. (2012). Detection of Forged Regions and Filtering Regions of Digital Images Using the Characteristics of Re-interpolation. Journal of Korea Multimedia Society. 15(2). 179–194.

Kim, Yoojin, et al.. (2012). The infrared lighting system for the efficient photography of the pretreated fingerprint. Australian Journal of Forensic Sciences. 44(3). 273–284. 2 indexed citations

Har, Dong‐Hwan, et al.. (2012). Linguistic Analysis of Human Sensibility in Various Pictorial Images. The Journal of the Korea Contents Association. 12(2). 182–195. 1 indexed citations

Kim, Dongmin, et al.. (2011). Extraction of Subject Size in Still Image Using Floor Pattern. The Journal of the Korea Contents Association. 11(4). 11–17. 1 indexed citations

Har, Dong‐Hwan, et al.. (2011). Adjustment of Stereoscopic Camera's Optical Axis Distance Considering Human Stereopsis Characteristics. The Journal of the Korea Contents Association. 11(5). 41–49. 2 indexed citations

10.

Choi, Young‐Ho, et al.. (2011). Development of a Flatbed Scanner for Reflection Infrared Photography. The Journal of the Korea Contents Association. 11(4). 57–66. 1 indexed citations

11.

Kim, Yoojin, et al.. (2011). Analysis on Sequence of Ball-pen and Pencil by using Digital Infrared Photography -with Emphasis on the Documents Authentication-. The Journal of the Korea Contents Association. 11(5). 481–488. 2 indexed citations

12.

Har, Dong‐Hwan, et al.. (2011). Subjective image quality assessment based on objective image quality measurement factors. IEEE Transactions on Consumer Electronics. 57(3). 1176–1184. 18 indexed citations

13.

Har, Dong‐Hwan, et al.. (2010). Methods of Subjective Image Quality Evaluation in Pictorial Images. The Journal of the Korea Contents Association. 10(8). 186–197. 1 indexed citations

14.

Lee, Young‐Kyu & Dong‐Hwan Har. (2010). Appropriate Digital Camera System for Digital Ultraviolet Photography. The Journal of the Korea Contents Association. 10(7). 40–48. 2 indexed citations

15.

Har, Dong‐Hwan, et al.. (2009). Effect of Noise Reduction Function in Digital Camera on the Resolution of Digital Image. The Journal of the Korea Contents Association. 9(5). 91–98. 1 indexed citations

16.

Kim, Yoojin, et al.. (2008). A study on infrared reflectography for underdrawing detection using a digital camera. 128–134. 3 indexed citations

17.

Har, Dong‐Hwan, et al.. (2008). Detection of digital forgeries using an image interpolation from digital images. 1–4. 4 indexed citations

18.

Park, Jin Seo, et al.. (2005). Technical Report on Semiautomatic Segmentation Using the Adobe Photoshop. Journal of Digital Imaging. 18(4). 333–343. 72 indexed citations

19.

Park, Jin Seo, et al.. (2005). Visible Korean Human: Improved serially sectioned images of the entire body. IEEE Transactions on Medical Imaging. 24(3). 352–360. 150 indexed citations

20.

Har, Dong‐Hwan, et al.. (2004). SLR digital camera for forensic photography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5301. 276–276. 5 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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