Hong Bae Kim
- Electrical and Electronic Engineering
- Materials Chemistry
- Molecular Biology
- Artificial Intelligence top 10%
- Accounting top 10%
- Co-authors
- Dae-Ki KangKwang‐Sup SohJung Sun YooJong Hoon ChungKu Youn BaikPill‐Hoon ChoungMohammad Hossein AyatiMyung Chul Lee
- Topics
- ZnO doping and properties (10 papers)Microbial Inactivation Methods (7 papers)Gas Sensing Nanomaterials and Sensors (6 papers)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Hong Bae Kim
41 papers receiving 691 citations
Peers
Comparison fields: 5 of 130
- Electrical and Electronic Engineering 162
- Materials Chemistry 147
- Molecular Biology 118
- Artificial Intelligence 102
- Accounting 82
Countries citing papers authored by Hong Bae Kim
This map shows the geographic impact of Hong Bae 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 Hong Bae Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Bae Kim more than expected).
Fields of papers citing papers by Hong Bae Kim
This network shows the impact of papers produced by Hong Bae 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 Hong Bae Kim. The network helps show where Hong Bae Kim may publish in the future.
Co-authorship network of co-authors of Hong Bae Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Hong Bae Kim. A scholar is included among the top collaborators of Hong Bae 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 Hong Bae Kim. Hong Bae 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 | 2 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 12 | |
| 5 | 11 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 16 | |
| 9 | 23 | |
| 10 | 21 | |
| 11 | 42 | |
| 12 | Imposition of the Carbon Taxation and Double-Dividend Effect in Korea | 1 |
| 13 | Calculating Carbon Dioxide Emissions in the City and Key Sectors for Low-Carbon City | 2 |
| 14 | 45 | |
| 15 | Model Development for Forecasting Regional Population - Using Cohort-Component Method and Markov Chain Model - | 1 |
| 16 | An alternative Method of Forecasting Regional and Urban Housing Demand : the Case of Korea | 1 |
| 17 | 26 | |
| 18 | The Impact Zone Measurement of the Private Investment Highway | 1 |
| 19 | The Effect of the Fasting for Body Composition Changes in Two Obese Adolescents | 2 |
| 20 | A Case of Congenital Long QT Syndrome with Reccurent Syncope | 1 |
About Hong Bae Kim
Hong Bae Kim is a scholar working on Biotechnology, Transportation and Physiology, having authored 46 papers that have together received 720 indexed citations. Recurring topics across this work include ZnO doping and properties (10 papers), Microbial Inactivation Methods (7 papers) and Gas Sensing Nanomaterials and Sensors (6 papers). The work is most often cited by research in Accounting (82 citations), Complementary and alternative medicine (46 citations) and Biotechnology (47 citations). Hong Bae Kim has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Dae-Ki Kang, Kwang‐Sup Soh, Jung Sun Yoo, Jong Hoon Chung, Ku Youn Baik, Pill‐Hoon Choung, Mohammad Hossein Ayati, Myung Chul Lee, Vyacheslav Ogay and Jiwon Bang. Their work appears in journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.
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.