Hyewon Jeong

510 total citations
24 papers, 166 citations indexed

About

Hyewon Jeong is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Hyewon Jeong has authored 24 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 3 papers in Cognitive Neuroscience and 3 papers in Artificial Intelligence. Recurrent topics in Hyewon Jeong's work include Advancements in Battery Materials (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Autism Spectrum Disorder Research (2 papers). Hyewon Jeong is often cited by papers focused on Advancements in Battery Materials (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Autism Spectrum Disorder Research (2 papers). Hyewon Jeong collaborates with scholars based in South Korea, United States and Canada. Hyewon Jeong's co-authors include Jiheon Kim, Hansol Kim, Do Hoon Kim, Daeyoung Roh, Eunho Yang, Ilsong Choi, Jae‐Hyun Kim, Ji Hyun Baek, Kwansoo Kim and Seung‐Hee Lee and has published in prestigious journals such as Neuron, Blood and Journal of Power Sources.

In The Last Decade

Hyewon Jeong

18 papers receiving 160 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hyewon Jeong South Korea 7 56 43 22 19 13 24 166
Marie‐Hélène Soriani France 7 83 1.5× 18 0.4× 16 0.7× 63 3.3× 12 0.9× 19 229
Amparo Güemes United Kingdom 9 30 0.5× 38 0.9× 35 1.6× 74 3.9× 3 0.2× 16 257
Zhengyu Lin China 10 21 0.4× 46 1.1× 11 0.5× 34 1.8× 41 3.2× 45 300
Qiong Ding China 10 71 1.3× 20 0.5× 9 0.4× 25 1.3× 6 0.5× 27 250
Onanong Phokaewvarangkul Thailand 10 32 0.6× 14 0.3× 6 0.3× 39 2.1× 6 0.5× 36 228
Jason Turuwhenua New Zealand 11 61 1.1× 21 0.5× 8 0.4× 10 0.5× 5 0.4× 32 300
Nicole R. Provenza United States 8 116 2.1× 20 0.5× 9 0.4× 68 3.6× 29 2.2× 34 196
Austin Chang United States 7 16 0.3× 13 0.3× 13 0.6× 22 1.2× 19 1.5× 23 290
Victor Nozais France 8 106 1.9× 11 0.3× 8 0.4× 35 1.8× 3 0.2× 14 190

Countries citing papers authored by Hyewon Jeong

Since Specialization
Citations

This map shows the geographic impact of Hyewon 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 Hyewon Jeong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyewon Jeong more than expected).

Fields of papers citing papers by Hyewon Jeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyewon 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 Hyewon Jeong. The network helps show where Hyewon Jeong may publish in the future.

Co-authorship network of co-authors of Hyewon Jeong

This figure shows the co-authorship network connecting the top 25 collaborators of Hyewon Jeong. A scholar is included among the top collaborators of Hyewon 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 Hyewon Jeong. Hyewon Jeong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zheng, Zhuoyuan, Hyewon Jeong, Yashraj Gurumukhi, et al.. (2025). Quantitative analysis of energy dissipation in thin film Si anodes upon lithiation. Journal of Power Sources. 631. 236231–236231. 5 indexed citations
2.
Hu, Zhiyuan, Hyewon Jeong, Mingyu Lu, et al.. (2025). BehaviorSFT: Behavioral Token Conditioning for Health Agents Across the Proactivity Spectrum. 9789–9817.
3.
Oh, Sarah Soyeon, et al.. (2024). A Multivariable Prediction Model for Mild Cognitive Impairment and Dementia: Algorithm Development and Validation. JMIR Medical Informatics. 12. e59396–e59396. 2 indexed citations
4.
5.
Jeong, Hyewon, et al.. (2024). Chemo-electrochemical Evolution of Cathode–Solid Electrolyte Interface in All-Solid-State Batteries. ACS Energy Letters. 9(10). 4746–4752. 4 indexed citations
6.
Jeong, Hyewon, et al.. (2023). Meta-analysis on the effectiveness of parent education for children with disabilities. World Journal of Clinical Cases. 11(29). 7082–7090. 1 indexed citations
7.
Jeong, Hyewon, et al.. (2023). Learner Experience on Anatomy Learning with Virtual Reality in a Medical College. 36(2). 51–51. 1 indexed citations
8.
Oh, Sarah Soyeon, Hyewon Jeong, Boyu Ren, et al.. (2023). Predicting Fetal Alcohol Spectrum Disorders Using Machine Learning Techniques: Multisite Retrospective Cohort Study. Journal of Medical Internet Research. 25. e45041–e45041. 5 indexed citations
9.
Tashi, Tsewang, et al.. (2023). Real-World Experience of Ropeginterferon-Alfa Treatment of PV and ET - Two Centers Experience. Blood. 142(Supplement 1). 6397–6397.
10.
Jeong, Hyewon, et al.. (2022). Comparison of Patterns of Non-suicidal Self-Injury and Emotion Dysregulation Across Mood Disorder Subtypes. Frontiers in Psychiatry. 13. 757933–757933. 11 indexed citations
11.
Kim, Jiheon, Hansol Kim, Hyewon Jeong, Daeyoung Roh, & Do Hoon Kim. (2021). tACS as a promising therapeutic option for improving cognitive function in mild cognitive impairment: A direct comparison between tACS and tDCS. Journal of Psychiatric Research. 141. 248–256. 54 indexed citations
12.
Susila, Hendry, Zeeshan Nasim, Suhyun Jin, et al.. (2021). Profiling Protein–DNA Interactions by Chromatin Immunoprecipitation in Arabidopsis. Methods in molecular biology. 2261. 345–356. 5 indexed citations
13.
Jeong, Hyewon, et al.. (2021). Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 35(10). 9081–9091. 9 indexed citations
14.
Jeong, Hyewon, et al.. (2020). Cost-effective Interactive Attention Learning with Neural Attention Process. 1. 4228–4238. 1 indexed citations
15.
Jeong, Hyewon, Junseong Park, Jin‐Kyoung Shim, et al.. (2019). Combined treatment with 2′-hydroxycinnamaldehyde and temozolomide suppresses glioblastoma tumorspheres by decreasing stemness and invasiveness. Journal of Neuro-Oncology. 143(1). 69–77. 13 indexed citations
16.
Tuan, Nguyen Anh, et al.. (2019). Temporal Probabilistic Asymmetric Multi-task Learning. 1 indexed citations
17.
Kim, Jae‐Hyun, Hyewon Jeong, Ilsong Choi, et al.. (2017). A Neural Circuit for Auditory Dominance over Visual Perception. Neuron. 93(5). 1236–1237. 17 indexed citations
18.
Jeong, Hyewon, et al.. (2013). Low-Complexity Low-Latency Architecture for Matching of Data Encoded With Hard Systematic Error-Correcting Codes. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 22(7). 1648–1652. 6 indexed citations
19.
Choi, Sung-Kyu, et al.. (2011). Photoelectrochemical Water Oxidation Using ZnO Nanorods Coupled with Cobalt-Based Catalysts. Journal of Electrochemical Science and Technology. 2(4). 187–192. 4 indexed citations
20.
Oh, Mi Sun, Hyewon Jeong, Byung‐Chul Lee, et al.. (2004). A Case of Krabbe Disease Confirmed by Identification of Mutations in the Galactocerbroside beta-galactosidase Gene (GALC).. Journal of the Korean Neurological Association. 22(2). 167–171. 1 indexed citations

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.

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