Dongyeol Ju
- Electrical and Electronic Engineering
- Cellular and Molecular Neuroscience top 10%
- Artificial Intelligence
- Cognitive Neuroscience
- Polymers and Plastics
- Co-authors
- Sungjun KimJang Hyun KimChandreswar MahataMuhammad IsmailKyungchul ParkSangwan KimTanmoy DasSungjoon Kim
- Topics
- Advanced Memory and Neural Computing (34 papers)Neural Networks and Reservoir Computing (17 papers)Neural dynamics and brain function (15 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringCognitive Neuroscience
- Journals
- The Journal of Chemical PhysicsAdvanced Functional MaterialsACS Applied Materials & Interfaces
- Partner nations
- South KoreaMalaysiaEthiopia
In The Last Decade
Dongyeol Ju
33 papers receiving 320 citations
Peers
Comparison fields: 5 of 18
- Electrical and Electronic Engineering 312
- Cellular and Molecular Neuroscience 146
- Artificial Intelligence 90
- Cognitive Neuroscience 78
- Polymers and Plastics 35
Countries citing papers authored by Dongyeol Ju
This map shows the geographic impact of Dongyeol Ju'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 Dongyeol Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongyeol Ju more than expected).
Fields of papers citing papers by Dongyeol Ju
This network shows the impact of papers produced by Dongyeol Ju. 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 Dongyeol Ju. The network helps show where Dongyeol Ju may publish in the future.
Co-authorship network of co-authors of Dongyeol Ju
This figure shows the co-authorship network connecting the top 25 collaborators of Dongyeol Ju. A scholar is included among the top collaborators of Dongyeol Ju 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 Dongyeol Ju. Dongyeol Ju is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 16 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 12 | |
| 13 | 10 | |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | 35 | |
| 18 | 12 | |
| 19 | 4 | |
| 20 | 1 |
About Dongyeol Ju
Dongyeol Ju is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 34 papers that have together received 325 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (34 papers), Neural Networks and Reservoir Computing (17 papers) and Neural dynamics and brain function (15 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (146 citations), Electrical and Electronic Engineering (312 citations) and Cognitive Neuroscience (78 citations). Dongyeol Ju has collaborated with scholars based in South Korea, Malaysia and Ethiopia. Frequent co-authors include Sungjun Kim, Jang Hyun Kim, Chandreswar Mahata, Muhammad Ismail, Kyungchul Park, Sangwan Kim, Tanmoy Das, Sungjoon Kim, A. V. Emelyanov and Sunghun Kim. Their work appears in journals such as The Journal of Chemical Physics, Advanced Functional Materials and ACS Applied Materials & Interfaces.
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.