Janguk Han
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 10%
- Cellular and Molecular Neuroscience
- Cognitive Neuroscience
- Hardware and Architecture top 10%
- Co-authors
- Cheol Seong HwangKyung Seok WooYoon Ho JangWoohyun KimJaehyun KimJoon‐Kyu HanSoo Hyung LeeJihun Kim
- Topics
- Advanced Memory and Neural Computing (28 papers)Neural dynamics and brain function (14 papers)Neural Networks and Reservoir Computing (13 papers)
- Cited by
- Electrical and Electronic EngineeringCellular and Molecular NeuroscienceHardware and Architecture
- Journals
- Advanced MaterialsNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- South KoreaArgentinaUnited States
In The Last Decade
Janguk Han
25 papers receiving 427 citations
Peers
Comparison fields: 5 of 26
- Electrical and Electronic Engineering 395
- Artificial Intelligence 180
- Cellular and Molecular Neuroscience 120
- Cognitive Neuroscience 100
- Hardware and Architecture 39
Countries citing papers authored by Janguk Han
This map shows the geographic impact of Janguk Han'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 Janguk Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janguk Han more than expected).
Fields of papers citing papers by Janguk Han
This network shows the impact of papers produced by Janguk Han. 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 Janguk Han. The network helps show where Janguk Han may publish in the future.
Co-authorship network of co-authors of Janguk Han
This figure shows the co-authorship network connecting the top 25 collaborators of Janguk Han. A scholar is included among the top collaborators of Janguk Han 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 Janguk Han. Janguk Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 27 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 39 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 5 | |
| 17 | 12 | |
| 18 | 27 | |
| 19 | 73 | |
| 20 | 1 |
About Janguk Han
Janguk Han is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering, having authored 29 papers that have together received 431 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (28 papers), Neural dynamics and brain function (14 papers) and Neural Networks and Reservoir Computing (13 papers). The work is most often cited by research in Electrical and Electronic Engineering (395 citations), Cellular and Molecular Neuroscience (120 citations) and Hardware and Architecture (39 citations). Janguk Han has collaborated with scholars based in South Korea, Argentina and United States. Frequent co-authors include Cheol Seong Hwang, Kyung Seok Woo, Yoon Ho Jang, Woohyun Kim, Jaehyun Kim, Joon‐Kyu Han, Soo Hyung Lee, Jihun Kim, Jeong Woo Jeon and Suhas Kumar. Their work appears in journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.
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.