Ju-Bong Kim
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Control and Systems Engineering
- Signal Processing
- Electrical and Electronic Engineering
- Co-authors
- Youn‐Hee HanHyun-Kyo LimYong-Geun HongKwihoon KimIhsan UllahYu‐Ryang PyunYoung-Han KimSang‐Youn Kim
- Topics
- Reinforcement Learning in Robotics (7 papers)Agriculture, Soil, Plant Science (4 papers)Food Quality and Safety Studies (4 papers)
- Journals
- IEEE AccessSensorsNeural Networks
- Partner nations
- South Korea
In The Last Decade
Ju-Bong Kim
24 papers receiving 284 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 152
- Computer Networks and Communications 136
- Control and Systems Engineering 58
- Signal Processing 35
- Electrical and Electronic Engineering 32
Countries citing papers authored by Ju-Bong Kim
This map shows the geographic impact of Ju-Bong 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 Ju-Bong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ju-Bong Kim more than expected).
Fields of papers citing papers by Ju-Bong Kim
This network shows the impact of papers produced by Ju-Bong 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 Ju-Bong Kim. The network helps show where Ju-Bong Kim may publish in the future.
Co-authorship network of co-authors of Ju-Bong Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Ju-Bong Kim. A scholar is included among the top collaborators of Ju-Bong 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 Ju-Bong Kim. Ju-Bong 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 | 2 | |
| 3 | 12 | |
| 4 | 6 | |
| 5 | 14 | |
| 6 | 11 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 72 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | Rheological Characteristics of Thermal Gelatinized Corn Starch Solution | 1 |
| 14 | Changes in tissue structure and pectins of Chinese cabbage during salting and heating | 8 |
| 15 | Thermal Conductivity of Petiole Tissue of Chinese Cabbage | 1 |
| 16 | Changes in Physical Characteristics of Chinese Cabbage during Salting and Blanching | 2 |
| 17 | Adsorption Characteristics of Organic Substances by Korean Activated Carbon | 1 |
| 18 | Diffusion of Sodium Chloride In Chinese Cabbage during Salting | 6 |
| 19 | Rheological Properties of Gelatinized Chestnut Starch Solution | 3 |
| 20 | Studies on the Heat Penetration and Pasteurization Conditions of Retort Pouch Kimchi | 10 |
About Ju-Bong Kim
Ju-Bong Kim is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Artificial Intelligence, having authored 27 papers that have together received 301 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (7 papers), Agriculture, Soil, Plant Science (4 papers) and Food Quality and Safety Studies (4 papers). The work is most often cited by research in Computer Networks and Communications (136 citations), Artificial Intelligence (152 citations) and Signal Processing (35 citations). Ju-Bong Kim has collaborated with scholars based in South Korea. Frequent co-authors include Youn‐Hee Han, Hyun-Kyo Lim, Yong-Geun Hong, Kwihoon Kim, Ihsan Ullah, Yu‐Ryang Pyun, Young-Han Kim, Sang‐Youn Kim, Shin-Young Lee and Sung‐Kon Kim. Their work appears in journals such as IEEE Access, Sensors and Neural Networks.
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.