Bohyung Han
About
In The Last Decade
Bohyung Han
95 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Computer Vision and Pattern Recognition 3.2k
- Artificial Intelligence 1.3k
- Aerospace Engineering 317
- Electrical and Electronic Engineering 239
- Media Technology 223
Countries citing papers authored by Bohyung Han
This map shows the geographic impact of Bohyung Han'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 Bohyung Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bohyung Han more than expected).
Fields of papers citing papers by Bohyung Han
This network shows the impact of papers produced by Bohyung Han. 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 Bohyung Han. The network helps show where Bohyung Han may publish in the future.
Co-authorship network of co-authors of Bohyung Han
This figure shows the co-authorship network connecting the top 25 collaborators of Bohyung Han. A scholar is included among the top collaborators of Bohyung Han 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 Bohyung Han. Bohyung Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 179 | |
| 8 | Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud | 2 |
| 9 | Combinatorial Inference against Label Noise | 8 |
| 10 | Learning to Optimize Domain Specific Normalization with Domain Augmentation for Domain Generalization | 1 |
| 11 | Learning to Specialize with Knowledge Distillation for Visual Question Answering | 16 |
| 12 | 244 | |
| 13 | Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization | 34 |
| 14 | 167 | |
| 15 | Image Retrieval with Deep Local Features and Attention-based Keypoints. | 6 |
| 16 | Progressive Attention Networks for Visual Attribute Prediction | 3 |
| 17 | Object Localization based on Structural SVM using Privileged Information | 24 |
| 18 | 8 | |
| 19 | 36 | |
| 20 | 125 |
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.