Citation Analysis

Predictive Quantile Regression with High-Dimensional Predictors: The Variable Screening Approach
Hongqi Chen, Ji Hyung Lee
https://arxiv.org/abs/2410.15097

Citation mentions

Cited references

Sections

5,875

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	4	3	7.0	0.043	0.928	100%
2	32	10	47.5	0.348	0.883	69%
3	7	2	12.0	0.076	0.874	100%
4	5	2	9.0	0.054	0.874	100%
5	3	2	5.0	0.033	0.737	100%
6	3	2	5.0	0.033	0.737	100%
7	2	2	3.0	0.022	0.644	100%
8	2	1	2.0	0.022	0.511	100%
9	2	2	2.5	0.022	0.511	50%
10	2	2	2.5	0.022	0.511	50%
11	8	5	5.5	0.087	0.500	12%
12	1	1	1.0	0.011	0.406	100%
13	1	1	1.0	0.011	0.406	100%
14	1	1	1.0	0.011	0.406	100%
15	1	1	1.0	0.011	0.406	100%
16	1	1	1.0	0.011	0.406	100%
17	1	1	1.0	0.011	0.406	100%
18	1	1	1.0	0.011	0.406	100%
19	1	1	1.0	0.011	0.406	100%
20	1	1	1.0	0.011	0.406	100%
21	1	1	1.0	0.011	0.406	100%
22	1	1	1.0	0.011	0.406	100%
23	1	1	2.0	0.011	0.406	100%
24	1	1	2.0	0.011	0.406	100%
25	1	1	2.0	0.011	0.406	100%
26	1	1	2.0	0.011	0.406	100%
27	3	1	1.5	0.033	0.126	0%
28	3	1	1.5	0.033	0.126	0%
29	1	1	0.5	0.011	0.087	0%

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.