Do‐Hyung Kim

3.7k total citations · 3 hit papers
43 papers, 2.6k citations indexed

About

Do‐Hyung Kim is a scholar working on Computer Vision and Pattern Recognition, Ecology and Oral Surgery. According to data from OpenAlex, Do‐Hyung Kim has authored 43 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Ecology and 8 papers in Oral Surgery. Recurrent topics in Do‐Hyung Kim's work include Remote Sensing in Agriculture (8 papers), Oral microbiology and periodontitis research (7 papers) and Face and Expression Recognition (7 papers). Do‐Hyung Kim is often cited by papers focused on Remote Sensing in Agriculture (8 papers), Oral microbiology and periodontitis research (7 papers) and Face and Expression Recognition (7 papers). Do‐Hyung Kim collaborates with scholars based in South Korea, United States and Italy. Do‐Hyung Kim's co-authors include Jae‐Hong Lee, Seong‐Nyum Jeong, Seong‐Ho Choi, Joe Sexton, John Townshend, Anupam Anand, Chengquan Huang, Saurabh Channan, Min Feng and Praveen Noojipady and has published in prestigious journals such as Remote Sensing of Environment, Nature Climate Change and Journal of Environmental Management.

In The Last Decade

Do‐Hyung Kim

39 papers receiving 2.6k citations

Hit Papers

Detection and diagnosis of dental caries using a deep... 2013 2026 2017 2021 2018 2013 2018 200 400 600
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.

  1. Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm
    2018 629 citations Jae‐Hong Lee, Do‐Hyung Kim et al. Journal of Dentistry profile →
  2. Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error
    2013 597 citations Joe Sexton, Anupam Anand et al. profile →
  3. Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm
    2018 324 citations Jae‐Hong Lee, Do‐Hyung Kim et al. Journal of Periodontal & Implant Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Do‐Hyung Kim South Korea 20 1.1k 717 708 425 333 43 2.6k
Marcelo Corrêa Alves Brazil 20 310 0.3× 45 0.1× 60 0.1× 226 0.5× 29 0.1× 71 1.2k
Ashim Gupta United States 30 26 0.0× 746 1.0× 131 0.2× 524 1.2× 223 0.7× 205 3.8k
Yinghui Wang China 28 69 0.1× 183 0.3× 542 0.8× 202 0.5× 103 0.3× 137 2.6k
Paolo Vescovi Italy 19 106 0.1× 313 0.4× 59 0.1× 34 0.1× 25 0.1× 57 1.4k
Thomas Stark Germany 19 65 0.1× 193 0.3× 57 0.1× 141 0.3× 80 0.2× 63 1.2k
Jinwon Kim South Korea 24 15 0.0× 1.3k 1.8× 163 0.2× 221 0.5× 5 0.0× 100 1.9k
Alejandro Sánchez de Miguel Spain 23 24 0.0× 2.4k 3.3× 638 0.9× 518 1.2× 10 0.0× 80 2.8k
C. J. E. M. Fortes Portugal 15 49 0.0× 79 0.1× 114 0.2× 47 0.1× 26 0.1× 137 1.0k
Kai Lee United States 18 14 0.0× 304 0.4× 97 0.1× 31 0.1× 42 0.1× 56 1.1k

Countries citing papers authored by Do‐Hyung Kim

Since Specialization
Citations

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

Fields of papers citing papers by Do‐Hyung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Do‐Hyung Kim. 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 Do‐Hyung Kim. The network helps show where Do‐Hyung Kim may publish in the future.

Co-authorship network of co-authors of Do‐Hyung Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Do‐Hyung Kim. A scholar is included among the top collaborators of Do‐Hyung Kim 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 Do‐Hyung Kim. Do‐Hyung Kim 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.
Nowakowski, Artur, et al.. (2021). AI Opportunities and Challenges for Crop Type Mapping Using Sentinel-2 and Drone Data. IRIS Research product catalog (Sapienza University of Rome). 258–261. 1 indexed citations
2.
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Kim, Do‐Hyung, Seong‐Nyum Jeong, & Jae‐Hong Lee. (2019). Soft tissue augmentation with volume stable collagen matrix: Two cases report. 43(2). 161–168. 1 indexed citations
4.
Kim, Yeon‐Tae, Jung Kyu Choi, Do‐Hyung Kim, Seong‐Nyum Jeong, & Jae‐Hong Lee. (2019). Association between health status and tooth loss in Korean adults: longitudinal results from the National Health Insurance Service-Health Examinee Cohort, 2002–2015. Journal of Periodontal & Implant Science. 49(3). 158–158. 21 indexed citations
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Kim, Do‐Hyung, Young‐Soo Kim, Tae‐Won Yang, & Oh‐Young Kwon. (2019). Optimal cutoff score of the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) for detecting major depressive disorder: A meta-analysis. Epilepsy & Behavior. 92. 61–70. 40 indexed citations
8.
Lee, Jae‐Hong, Do‐Hyung Kim, & Seong‐Nyum Jeong. (2019). Diagnosis of cystic lesions using panoramic and cone beam computed tomographic images based on deep learning neural network. Oral Diseases. 26(1). 152–158. 157 indexed citations
9.
Kim, Min‐Jung, Young‐Soo Kim, Do‐Hyung Kim, Tae‐Won Yang, & Oh‐Young Kwon. (2018). Major depressive disorder in epilepsy clinics: A meta-analysis. Epilepsy & Behavior. 84. 56–69. 50 indexed citations
10.
Lee, Jae‐Hong, Do‐Hyung Kim, Seong‐Nyum Jeong, & Seong‐Ho Choi. (2018). Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm. Journal of Periodontal & Implant Science. 48(2). 114–114. 324 indexed citations breakdown →
11.
Kim, Do‐Hyung, et al.. (2018). A radiographic evaluation of graft height changes after maxillary sinus augmentation. Journal of Periodontal & Implant Science. 48(3). 174–174. 15 indexed citations
12.
Lee, Jae‐Hong, Do‐Hyung Kim, Seong‐Nyum Jeong, & Seong‐Ho Choi. (2018). Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm. Journal of Dentistry. 77. 106–111. 629 indexed citations breakdown →
13.
Kim, Do‐Hyung, Jung Seok Lee, Hyoung−il Kim, et al.. (2017). Synchronized methylene blue removal using Fenton-like reaction induced by phosphorous oxoanion and submerged plasma irradiation process. Journal of Environmental Management. 206. 77–84. 15 indexed citations
14.
Nagol, Jyoteshwar, Joe Sexton, Do‐Hyung Kim, et al.. (2014). Bidirectional effects in Landsat reflectance estimates: Is there a problem to solve?. ISPRS Journal of Photogrammetry and Remote Sensing. 103. 129–135. 64 indexed citations
15.
Kim, Do‐Hyung, Yeomin Yoon, Kitae Baek, Jonghun Han, & Namguk Her. (2013). Occurrence of perchlorate in rice from different areas in the Republic of Korea. Environmental Science and Pollution Research. 21(2). 1251–1257. 20 indexed citations
16.
Kim, Do‐Hyung, et al.. (2009). Detection of Faces Located at a Long Range with Low-resolution Input Images for Mobile Robots. The Journal of Korea Robotics Society. 4(4). 257–264.
17.
Kim, Do‐Hyung, et al.. (2007). Comparison of Three Land Cover Classification Algorithms -ISODATA, SMA, and SOM - for the Monitoring of North Korea with MODIS Multi-temporal Data. National Remote Sensing Bulletin. 23(3). 181–188. 8 indexed citations
18.
Kwak, Keun-Chang, et al.. (2006). Real-Time Face and Gesture Recognition for Human-Robot Interaction. 134–139.
19.
Kim, Do‐Hyung, et al.. (2005). Reduction of plasma-induced damage during intermetal dielectric deposition in high-density plasma. 20. 99–102. 5 indexed citations
20.
Kim, Do‐Hyung, Jaeyeon Lee, Eui-Young Cha, & Young-Jo Cho. (2005). FACE IDENTIFICATION USING MULTIPLE COMBINATION STRATEGY FOR HUMAN ROBOT INTERACTION. IFAC Proceedings Volumes. 38(1). 1053–1058. 2 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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