Yae Jee Cho
Impact in
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Stochastic Gradient Optimization Techniques
- Cryptography and Data Security
Papers in
-
- Millimeter-Wave Propagation and Modeling 5
- Microwave Engineering and Waveguides 3
- Advanced MIMO Systems Optimization 3
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- Privacy-Preserving Technologies in Data 3
- Stochastic Gradient Optimization Techniques 3
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Chan‐Byoung Chae (7 shared papers)Gauri Joshi (3 shared papers)Dimitrios Dimitriadis (2 shared papers)Andre Manoel (1 shared paper)Dong Ku Kim (1 shared paper)Robert B. Sim (1 shared paper)Yeon-Geun Lim (3 shared papers)Jianyu Wang (1 shared paper)
- Journals
- IEEE Journal of Selected Topics in Signal Processing (1 paper)IEEE Wireless Communications Letters (1 paper)Transactions on Emerging Telecommunications Technologies (1 paper)IEEE Wireless Communications (1 paper)IEEE Communications Magazine (1 paper)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Yae Jee Cho
11 papers receiving 250 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 99
- Health Informatics 4
- Aerospace Engineering 62
- Computer Science Applications 11
- Electrical and Electronic Engineering 116
Countries citing papers authored by Yae Jee Cho
This map shows the geographic impact of Yae Jee Cho'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 Yae Jee Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yae Jee Cho more than expected).
Fields of papers citing papers by Yae Jee Cho
This network shows the impact of papers produced by Yae Jee Cho. 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 Yae Jee Cho. The network helps show where Yae Jee Cho may publish in the future.
Co-authors
The 17 scholars most cited alongside Yae Jee Cho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 58 | |
| 2 | 2022 | 58 | |
| 3 | 2023 | 39 | |
| 4 | 2020 | 39 | |
| 5 | 2024 | 14 | |
| 6 | 2017 | 13 | |
| 7 | 2018 | 12 | |
| 8 | 2023 | 6 | |
| 9 | 2016 | 5 | |
| 10 | Map-based Millimeter-Wave Channel Models: An Overview, Guidelines, and Data. | 2017 | 5 |
| 11 | 2018 | 4 |
About Yae Jee Cho
Yae Jee Cho is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Molecular Biology, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 253 indexed citations. Recurring topics across this work include Millimeter-Wave Propagation and Modeling (5 papers), Privacy-Preserving Technologies in Data (3 papers), Stochastic Gradient Optimization Techniques (3 papers), Microwave Engineering and Waveguides (3 papers), Advanced MIMO Systems Optimization (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Molecular Communication and Nanonetworks (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Artificial Intelligence (99 citations), Health Informatics (4 citations), Aerospace Engineering (62 citations), Computer Science Applications (11 citations) and Electrical and Electronic Engineering (116 citations). Yae Jee Cho has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Chan‐Byoung Chae, Gauri Joshi, Dimitrios Dimitriadis, Andre Manoel, Dong Ku Kim, Robert B. Sim, Yeon-Geun Lim, Jianyu Wang, Younsun Kim and Min Soo Sim. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, IEEE Wireless Communications Letters, Transactions on Emerging Telecommunications Technologies, IEEE Wireless Communications and IEEE Communications Magazine.
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.