Demo Data from VLDB 2026 / reviewers in the wild / expert
Jin Fu 0001
dblp:54/9984-1
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
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 · 50% Computational science and engineering · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › systems biology › biochemical simulation
biochemical system simulation |
0.1 | 1 | 2011 | StochKit2: software for discrete stochastic simulation of biochemical systems with events · Bioinform. 2011 |
Computational science and engineering › numerical simulation
stochastic simulation algorithm |
0.1 | 1 | 2011 | StochKit2: software for discrete stochastic simulation of biochemical systems with events · Bioinform. 2011 |
Methods — techniques the papers use, named apart from their topics
gillespie stochastic simulation algorithm · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | StochKit2: software for discrete stochastic simulation of biochemical systems with eventsabstractSUMMARY: StochKit2 is the first major upgrade of the popular StochKit stochastic simulation software package. StochKit2 provides highly efficient implementations of several variants of Gillespie's stochastic simulation algorithm (SSA), and tau-leaping with automatic step size selection. StochKit2 features include automatic selection of the optimal SSA method based on model properties, event handling, and automatic parallelism on multicore architectures. The underlying structure of the code has been completely updated to provide a flexible framework for extending its functionality. AVAILABILITY: StochKit2 runs on Linux/Unix, Mac OS X and Windows. It is freely available under GPL version 3 and can be downloaded from http://sourceforge.net/projects/stochkit/. CONTACT: [email protected]. Kevin R. Sanft, Sheng Wu 0002, Min K. Roh, Jin Fu 0001, Rone Kwei Lim, Linda R. Petzold |
Bioinform. | 4 |