Hakcheon Jeong
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 10%
- Artificial Intelligence top 10%
- Cognitive Neuroscience
- Polymers and Plastics
- Co-authors
- Shinhyun ChoiSee‐On ParkJongyong ParkTaehoon ParkBeomjin KimDonghoon KimMyung‐Su KimSujin Sung
- Topics
- Advanced Memory and Neural Computing (12 papers)Neuroscience and Neural Engineering (4 papers)Photoreceptor and optogenetics research (3 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringPolymers and Plastics
- Journals
- NatureNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- South KoreaUnited States
In The Last Decade
Hakcheon Jeong
14 papers receiving 388 citations
Hit Papers
Peers
Comparison fields: 5 of 37
- Electrical and Electronic Engineering 374
- Cellular and Molecular Neuroscience 138
- Artificial Intelligence 94
- Cognitive Neuroscience 70
- Polymers and Plastics 54
Countries citing papers authored by Hakcheon Jeong
This map shows the geographic impact of Hakcheon Jeong'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 Hakcheon Jeong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hakcheon Jeong more than expected).
Fields of papers citing papers by Hakcheon Jeong
This network shows the impact of papers produced by Hakcheon Jeong. 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 Hakcheon Jeong. The network helps show where Hakcheon Jeong may publish in the future.
Co-authorship network of co-authors of Hakcheon Jeong
This figure shows the co-authorship network connecting the top 25 collaborators of Hakcheon Jeong. A scholar is included among the top collaborators of Hakcheon Jeong 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 Hakcheon Jeong. Hakcheon Jeong 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 | 5 | |
| 3 | 9 | |
| 4 | 34 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 17 | |
| 10 | Experimental demonstration of highly reliable dynamic memristor for artificial neuron and neuromorphic computingbreakdown → | 226 |
| 11 | 51 | |
| 12 | 28 | |
| 13 | 8 | |
| 14 | 1 |
About Hakcheon Jeong
Hakcheon Jeong is a scholar working on Cellular and Molecular Neuroscience, Hardware and Architecture and Instrumentation, having authored 14 papers that have together received 392 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), Neuroscience and Neural Engineering (4 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (138 citations), Electrical and Electronic Engineering (374 citations) and Polymers and Plastics (54 citations). Hakcheon Jeong has collaborated with scholars based in South Korea and United States. Frequent co-authors include Shinhyun Choi, See‐On Park, Jongyong Park, Taehoon Park, Beomjin Kim, Donghoon Kim, Myung‐Su Kim, Sujin Sung, Yang‐Kyu Choi and Jun-Kyu Park. Their work appears in journals such as Nature, 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.