Sang‐Hyeob Kim
- Materials Chemistry top 10%
- Biomedical Engineering top 10%
- Electrical and Electronic Engineering top 10%
- Polymers and Plastics top 10%
- Electronic, Optical and Magnetic Materials
- Co-authors
- Sang‐Woo KimEun-Hye JangJin‐Hun SohnByoung‐Jun ParkJae‐Young ChoiSangyoon LeeDukhyun ChoiIn-Soo Kim
- Topics
- Emotion and Mood Recognition (11 papers)ZnO doping and properties (9 papers)EEG and Brain-Computer Interfaces (8 papers)
- Partner nations
- South KoreaJapanSingapore
In The Last Decade
Sang‐Hyeob Kim
40 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 119
- Materials Chemistry 530
- Biomedical Engineering 451
- Electrical and Electronic Engineering 437
- Polymers and Plastics 169
- Electronic, Optical and Magnetic Materials 162
Countries citing papers authored by Sang‐Hyeob Kim
This map shows the geographic impact of Sang‐Hyeob 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 Sang‐Hyeob Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang‐Hyeob Kim more than expected).
Fields of papers citing papers by Sang‐Hyeob Kim
This network shows the impact of papers produced by Sang‐Hyeob 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 Sang‐Hyeob Kim. The network helps show where Sang‐Hyeob Kim may publish in the future.
Co-authorship network of co-authors of Sang‐Hyeob Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Hyeob Kim. A scholar is included among the top collaborators of Sang‐Hyeob 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 Sang‐Hyeob Kim. Sang‐Hyeob 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 | Classification of Human Emotions from Physiological signals using Machine Learning Algorithms Recognition of Pain, Boredom, and Surprise Emotions | 2 |
| 2 | 118 | |
| 3 | 23 | |
| 4 | Subcutaneous leiomyosarcoma in a Smad3+/- mouse. | 0 |
| 5 | 22 | |
| 6 | 16 | |
| 7 | 5 | |
| 8 | Classification of Three Negative Emotions based on Physiological Signals | 4 |
| 9 | Emotion Recognition using Autonomic Nervous System Responses | 3 |
| 10 | Classification of Human Emotions from Physiological signals using Machine Learning Algorithms | 8 |
| 11 | 0 | |
| 12 | 10 | |
| 13 | 5 | |
| 14 | Emotion Recognition Through ANS Responses Evoked by Negative Emotions | 3 |
| 15 | 5 | |
| 16 | 18 | |
| 17 | 378 | |
| 18 | 10 | |
| 19 | 24 | |
| 20 | Deposition of Ferroelectric PB(Zr 0.52 Ti 0.48 )O 3 Films on Platinized Silicon Using Nd:YAG Laser | 2 |
About Sang‐Hyeob Kim
Sang‐Hyeob Kim is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Human-Computer Interaction, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (11 papers), ZnO doping and properties (9 papers) and EEG and Brain-Computer Interfaces (8 papers). The work is most often cited by research in Polymers and Plastics (169 citations), Materials Chemistry (530 citations) and Biomedical Engineering (451 citations). Sang‐Hyeob Kim has collaborated with scholars based in South Korea, Japan and Singapore. Frequent co-authors include Sang‐Woo Kim, Eun-Hye Jang, Jin‐Hun Sohn, Byoung‐Jun Park, Jae‐Young Choi, Sangyoon Lee, Dukhyun Choi, In-Soo Kim, Mi‐Jin Jin and Jong Min Kim. Their work appears in journals such as Advanced Materials, Angewandte Chemie International Edition and Applied Physics Letters.
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.