Do‐Hyung Kim
- Oral Surgery top 0.5%
- Global and Planetary Change top 2%
- Ecology top 2%
- Environmental Engineering top 2%
- Biomedical Engineering top 10%
- Co-authors
- Jae‐Hong LeeSeong‐Nyum JeongSeong‐Ho ChoiJohn TownshendJoe SextonAnupam AnandChengquan HuangMin Feng
- Topics
- Remote Sensing in Agriculture (8 papers)Oral microbiology and periodontitis research (7 papers)Face and Expression Recognition (7 papers)
- Partner nations
- South KoreaUnited StatesItaly
In The Last Decade
Do‐Hyung Kim
39 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Oral Surgery 1.1k
- Global and Planetary Change 717
- Ecology 708
- Environmental Engineering 425
- Biomedical Engineering 333
Countries citing papers authored by Do‐Hyung Kim
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 23 | |
| 3 | 14 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 21 | |
| 7 | 22 | |
| 8 | 40 | |
| 9 | 15 | |
| 10 | Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithmbreakdown → | 324 |
| 11 | Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithmbreakdown → | 629 |
| 12 | 50 | |
| 13 | 15 | |
| 14 | 146 | |
| 15 | 64 | |
| 16 | 20 | |
| 17 | Detection of Faces Located at a Long Range with Low-resolution Input Images for Mobile Robots | 0 |
| 18 | Comparison of Three Land Cover Classification Algorithms -ISODATA, SMA, and SOM - for the Monitoring of North Korea with MODIS Multi-temporal Data | 8 |
| 19 | Real-Time Face and Gesture Recognition for Human-Robot Interaction | 0 |
| 20 | 5 |
About Do‐Hyung Kim
Do‐Hyung Kim is a scholar working on Periodontics, Oral Surgery and Urology, having authored 43 papers that have together received 2.6k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (8 papers), Oral microbiology and periodontitis research (7 papers) and Face and Expression Recognition (7 papers). The work is most often cited by research in General Dentistry (289 citations), Oral Surgery (1.1k citations) and Health Informatics (175 citations). Do‐Hyung Kim has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include Jae‐Hong Lee, Seong‐Nyum Jeong, Seong‐Ho Choi, John Townshend, Joe Sexton, Anupam Anand, Chengquan Huang, Min Feng, Saurabh Channan and Praveen Noojipady. Their work appears in journals such as Remote Sensing of Environment, Nature Climate Change and Journal of Environmental Management.
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.