Demo Data from SIGIR 2026 / reviewers in the wild / expert
Weijia Jin
dblp:311/1909
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2024
0000-0002-0644-5153ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author · 2 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Databases, data management, data science and information retrieval · 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 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
massively parallel reporter assay |
0.8 | 1 | 2024 | MPRAVarDB: an online database and web server for exploring regulatory effects of genetic variants · Bioinform. 2024 |
Methods — techniques the papers use, named apart from their topics
machine learning · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | MPRAVarDB: an online database and web server for exploring regulatory effects of genetic variantsabstractSUMMARY: Massively parallel reporter assay (MPRA) is an important technology for evaluating the impact of genetic variants on gene regulation. Here, we present MPRAVarDB, an online database and web server for exploring regulatory effects of genetic variants. MPRAVarDB harbors 18 MPRA experiments designed to assess the regulatory effects of genetic variants associated with GWAS loci, eQTLs, and genomic features, totaling 242 818 variants tested more than 30 cell lines and 30 human diseases or traits. MPRAVarDB enables users to query MPRA variants by genomic region, disease and cell line, or any combination of these parameters. Notably, MPRAVarDB offers a suite of pretrained machine-learning models tailored to the specific disease and cell line, facilitating the prediction of regulatory variants. The user-friendly interface allows users to receive query and prediction results with just a few clicks. AVAILABILITY AND IMPLEMENTATION: https://mpravardb.rc.ufl.edu. Weijia Jin, Javlon Nizomov, Qing Lu 0004, Li Chen 0029 |
Bioinform. | 1 |
| 2021 | How Does Movie Production Determine Box Office? Tests of Mediation and Moderation EffectsabstractThe major aim of this study is to investigate the mechanism and pathway within the relationship between movie production and box office. Previous studies have identified the production of a movie’s effect on box office, but they cannot explain the process through which such effects come about. Drawing on methods from social sciences, we propose that distribution quality has the potential to play as a mediator or moderator between movie production and box office. The empirical study is based on a combined dataset from movie website, professional financial database and social media. We develop several models, and the results reveal that with other influential factors controlled, the movie production’s effect on box office is largely mediated by distribution quality. Our findings also suggest that the movie production’s effect on box office varies across different distribution qualities. Good distribution quality can enlarge the magnitude of production. These results extend the knowledge on the factors that influence a movie’s box office and provide implications for successful movie formation in movie industry. (Abstract) Weijia Jin |
IEEE BigData | 2 |