Demo Data from VLDB 2026 / reviewers in the wild / expert
Luchen Deng
dblp:370/5539
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
bioimage informatics |
0.7 | 1 | 2023 | Vaa3D-x for cross-platform teravoxel-scale immersive exploration of multidimensional image data · Bioinform. 2023 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Vaa3D-x for cross-platform teravoxel-scale immersive exploration of multidimensional image dataabstractSUMMARY: Vaa3D is a software package that has been widely used to visualize and analyze multidimensional microscopic images in a number of cutting edge bioimage informatics applications. However, due to many recent updates of both software development environments and operating systems, it was highly requested to maintain Vaa3D and disseminate it on latest operating systems. In addition, there has never been a showcase about how to use Vaa3D's cross-platform visualization and immersive exploration functions for multidimensional and teravoxel-scale images. Here, we introduce a newly developed version of the software, called Vaa3D-x, to address all the above issues. AVAILABILITY AND IMPLEMENTATION: Vaa3D-x is released in both binary and Open-Source available at vaa3d.org and GitHub (https://github.com/Vaa3D). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Jiangshan Liang, Luchen Deng, Shize Chen, Zongcai Ruan |
Bioinform. | 2 |