Bai‐Sun Kong
- Electrical and Electronic Engineering top 5%
- Biomedical Engineering top 10%
- Artificial Intelligence top 5%
- Cellular and Molecular Neuroscience top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- Young-Hyun JunBomin JooLinfeng SunHeejun YangJinbao JiangWoo Jong YuYeji KimShoujun Zheng
- Topics
- Low-power high-performance VLSI design (47 papers)Analog and Mixed-Signal Circuit Design (45 papers)Advancements in Semiconductor Devices and Circuit Design (32 papers)
- Cited by
- Electrical and Electronic EngineeringHardware and ArchitectureCellular and Molecular Neuroscience
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
Bai‐Sun Kong
82 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 46
- Electrical and Electronic Engineering 1.3k
- Biomedical Engineering 331
- Artificial Intelligence 219
- Cellular and Molecular Neuroscience 196
- Cognitive Neuroscience 140
Countries citing papers authored by Bai‐Sun Kong
This map shows the geographic impact of Bai‐Sun Kong'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 Bai‐Sun Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bai‐Sun Kong more than expected).
Fields of papers citing papers by Bai‐Sun Kong
This network shows the impact of papers produced by Bai‐Sun Kong. 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 Bai‐Sun Kong. The network helps show where Bai‐Sun Kong may publish in the future.
Co-authorship network of co-authors of Bai‐Sun Kong
This figure shows the co-authorship network connecting the top 25 collaborators of Bai‐Sun Kong. A scholar is included among the top collaborators of Bai‐Sun Kong 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 Bai‐Sun Kong. Bai‐Sun Kong 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 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | In-sensor reservoir computing for language learning via two-dimensional memristorsbreakdown → | 340 |
| 6 | 9 | |
| 7 | 204 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | Low-Voltage CMOS Differential Logic Style With Supply Voltage Approaching Device Threshold | 1 |
| 11 | Low-Power Data Serializer for Mobile TFT-LCD Driver IC | 6 |
| 12 | 18 | |
| 13 | High-Efficiency Charge Pump for CMOS Image Sensor | 0 |
| 14 | 10 | |
| 15 | A High Voltage CMOS Rail-to-Rail Input/Output Operational Amplifier with Gain enhancement | 0 |
| 16 | 1 | |
| 17 | High Speed Pulse-based Flip-Flop with Pseudo MUX-type Scan for Standard Cell Library | 0 |
| 18 | 1 | |
| 19 | 8 | |
| 20 | 1 |
About Bai‐Sun Kong
Bai‐Sun Kong is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Hardware and Architecture, having authored 93 papers that have together received 1.4k indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (47 papers), Analog and Mixed-Signal Circuit Design (45 papers) and Advancements in Semiconductor Devices and Circuit Design (32 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.3k citations), Hardware and Architecture (98 citations) and Cellular and Molecular Neuroscience (196 citations). Bai‐Sun Kong has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Young-Hyun Jun, Bomin Joo, Linfeng Sun, Heejun Yang, Jinbao Jiang, Woo Jong Yu, Yeji Kim, Shoujun Zheng, Zhongrui Wang and Rong Zhao. Their work appears in journals such as Nature Communications, Science Advances and IEEE Access.
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.