Demo Data from EDBT 2026 / reviewers in the wild / expert
Yujian Chen
dblp:14/5425
· DBLP profile ↗
4ranked-venue papers
0as first author
0since 2021 · last 2005
0000-0002-6472-314XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2Graphics, computer vision, multimedia, augmented reality and games · 1Applied, 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.
| Computer graphics and multimedia
1 paper |
Geometric modeling and processing · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing › solid modeling
solid reconstruction |
0.0 | 1 | 2001 | Reconstruction of curved solids from engineering drawings · Comput. Aided Des. 2001 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | DMC: a more precise cohesion measure for classes
Jianmin Wang 0001, Yuming Zhou, Lijie Wen 0001, Yujian Chen, Hongmin Lu, Baowen Xu |
Inf. Softw. Technol. | 4 |
| 2003 | DRC: A Dependence Relationships Based Cohesion Measure for ClassesabstractA large number of cohesion measures based on method-attribute references have been proposed. However, virtually no attention has been paid to the abstract representation that objectively depicts the relationships among the members of a class. Specially, the flow dependence relationship among attributes, the indirect and potential dependence relationships among class members, and the direction of method-attribute references are ignored. To address this problem, we first identifies four types of basic dependence relationships and uses a class member dependence graph to represent all dependences among the members of a class. Then, a dependence relationships based measure for measuring the class cohesiveness is proposed. Finally, we compare our class cohesion measure with typical cohesion measures. Yuming Zhou, Lijie Wen 0001, Jianmin Wang 0001, Yujian Chen, Hongmin Lu, Baowen Xu |
APSEC | 4 |
| 2001 | Reconstruction of curved solids from engineering drawings
Shi-Xia Liu, Shi-Min Hu 0001, Yujian Chen, Jia-Guang Sun 0001 |
Comput. Aided Des. | 3 |
| 1996 | Advanced geometric modeler with hybrid representation
Changgui Yang, Yujian Chen, Jia-Guang Sun 0001 |
J. Comput. Sci. Technol. | 2 |