Albert C. S. Chung
About
In The Last Decade
Albert C. S. Chung
109 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 1.8k
- Radiology, Nuclear Medicine and Imaging 495
- Media Technology 300
- Artificial Intelligence 288
- Pulmonary and Respiratory Medicine 173
Countries citing papers authored by Albert C. S. Chung
This map shows the geographic impact of Albert C. S. Chung'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 Albert C. S. Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert C. S. Chung more than expected).
Fields of papers citing papers by Albert C. S. Chung
This network shows the impact of papers produced by Albert C. S. Chung. 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 Albert C. S. Chung. The network helps show where Albert C. S. Chung may publish in the future.
Co-authorship network of co-authors of Albert C. S. Chung
This figure shows the co-authorship network connecting the top 25 collaborators of Albert C. S. Chung. A scholar is included among the top collaborators of Albert C. S. Chung 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 Albert C. S. Chung. Albert C. S. Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 50 | |
| 3 | 19 | |
| 4 | Random Walks with Adaptive Cylinder Flux based Connectivity for Vessel Segmentation | 1 |
| 5 | 4 | |
| 6 | An oriented flux symmetry based active contour model for three dimensional vessel segmentation | 3 |
| 7 | 3 | |
| 8 | Minimal Weighted Local Variance as Edge Detector for Active Contour Models | 3 |
| 9 | Cerebral vascular tree matching of 3D-RA data based on tree edit distance | 2 |
| 10 | Combining microscopic and macroscopic information for rotation and histogram equalization invariant texture classification | 5 |
| 11 | Multi-resolution vessel segmentation using normalized cuts in retinal images | 1 |
| 12 | 11 | |
| 13 | 1 | |
| 14 | 43 | |
| 15 | Distance-intensity for image registration | 2 |
| 16 | 17 | |
| 17 | Multimodal brain image registration based on wavelet transform using SAD and MI | 4 |
| 18 | Efficient 3D-3D vascular registration based on multiple orthogonal 2D projections | 2 |
| 19 | 4 | |
| 20 | Rigid registration of Echoplanar and conventional magnetic resonance images by minimizing the Kullback-Leibler distance | 2 |
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.