Mijung Park
- Cognitive Neuroscience
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Biophysics
- Molecular Biology
- Co-authors
- Jonathan W. PillowJungkun ParkGregory D. HorwitzAdam S. CharlesZoltán SzabóManeesh SahaniLars BuesingWittawat Jitkrittum
- Topics
- Gaussian Processes and Bayesian Inference (5 papers)Neural dynamics and brain function (4 papers)Privacy-Preserving Technologies in Data (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Mijung Park
14 papers receiving 167 citations
Peers
Comparison fields: 5 of 55
- Cognitive Neuroscience 95
- Cellular and Molecular Neuroscience 38
- Artificial Intelligence 34
- Biophysics 22
- Molecular Biology 20
Countries citing papers authored by Mijung Park
This map shows the geographic impact of Mijung Park'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 Mijung Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mijung Park more than expected).
Fields of papers citing papers by Mijung Park
This network shows the impact of papers produced by Mijung Park. 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 Mijung Park. The network helps show where Mijung Park may publish in the future.
Co-authorship network of co-authors of Mijung Park
This figure shows the co-authorship network connecting the top 25 collaborators of Mijung Park. A scholar is included among the top collaborators of Mijung Park 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 Mijung Park. Mijung Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | Dirichlet Pruning for Convolutional Neural Networks | 0 |
| 5 | Differentially Private Mean Embeddings with Random Features (DP-MERF) for Simple & Practical Synthetic Data Generation. | 1 |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 24 | |
| 9 | Bayesian manifold learning: the Locally Linear Latent Variable Model | 1 |
| 10 | Sparse Bayesian Structure Learning with Dependent Relevance Determination Priors | 5 |
| 11 | 8 | |
| 12 | Bayesian active learning with localized priors for fast receptive field characterization | 18 |
| 13 | 4 | |
| 14 | Active learning of neural response functions with Gaussian processes | 16 |
| 15 | 57 | |
| 16 | 22 | |
| 17 | Development and Evaluation of a Web-Based Instructional Program on Basic Nursing Science for Nursing Students | 1 |
About Mijung Park
Mijung Park is a scholar working on Signal Processing, Artificial Intelligence and Statistics and Probability, having authored 17 papers that have together received 168 indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (5 papers), Neural dynamics and brain function (4 papers) and Privacy-Preserving Technologies in Data (3 papers). The work is most often cited by research in Cognitive Neuroscience (95 citations), Biophysics (22 citations) and Cellular and Molecular Neuroscience (38 citations). Mijung Park has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jonathan W. Pillow, Jungkun Park, Gregory D. Horwitz, Adam S. Charles, Zoltán Szabó, Maneesh Sahani, Lars Buesing, Wittawat Jitkrittum, Oluwasanmi Koyejo and Marcel Nassar. Their work appears in journals such as PLoS Computational Biology, Neural Computation and Journal of Artificial Intelligence Research.
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.