Citation Analysis

Learning from Double Positive and Unlabeled Data for Potential-Customer Identification
Masahiro Kato, Yuki Ikeda, Kentaro Baba, Takashi Imai, Ryo Inokuchi
https://arxiv.org/abs/2506.00436

Citation mentions

Cited references

Sections

2,107

Words (approx)

References by Citation Intensity

Ordered by composite index (descending). Higher values indicate more intensive citation.

#	Mentions	Breadth	Sec. Wtd	Share	Composite	Main %
1	6	5	5.0	0.214	0.874	67%
2	3	2	3.0	0.107	0.737	100%
3	3	2	6.0	0.107	0.737	100%
4	2	2	2.5	0.071	0.644	100%
5	2	1	1.0	0.071	0.511	100%
6	1	1	1.0	0.036	0.406	100%
7	1	1	1.0	0.036	0.406	100%
8	1	1	1.0	0.036	0.406	100%
9	1	1	1.0	0.036	0.406	100%
10	1	1	1.0	0.036	0.406	100%
11	1	1	2.0	0.036	0.406	100%
12	1	1	2.0	0.036	0.406	100%
13	1	1	2.0	0.036	0.406	100%
14	1	1	2.0	0.036	0.406	100%
15	1	1	2.0	0.036	0.406	100%
16	1	1	2.0	0.036	0.406	100%
17	1	1	0.5	0.036	0.406	100%

Measures: Mentions = total in-text citations; Breadth = distinct sections; Sec. Wtd = section-weighted count (body ×2, lit review/appendix ×0.5); Share = mentions / total citations in paper; Composite = geometric mean of normalised count, breadth, and main-text ratio; Main % = fraction of mentions in main text (excl. appendix). (self) = self-citation.