Citation Analysis

Covariance Function Estimation for High-Dimensional Functional Time Series with Dual Factor Structures
Chenlei Leng, Degui Li, Hanlin Shang, Yingcun Xia
https://arxiv.org/abs/2401.05784

Citation mentions

Cited references

Sections

3,574

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	13	5	21.0	0.131	1.000	100%
2	7	5	12.0	0.071	1.000	100%
3	8	5	15.0	0.081	1.000	100%
4	7	3	10.0	0.071	1.000	100%
5	11	6	18.0	0.111	1.000	100%
6	5	3	7.0	0.051	1.000	100%
7	7	4	10.0	0.071	1.000	100%
8	5	2	10.0	0.051	0.874	100%
9	3	3	5.0	0.030	0.843	100%
10	2	2	3.0	0.020	0.644	100%
11	2	2	3.0	0.020	0.644	100%
12	2	2	3.0	0.020	0.644	100%
13	2	2	4.0	0.020	0.644	100%
14	2	2	4.0	0.020	0.644	100%
15	2	1	2.0	0.020	0.511	100%
16	2	1	2.0	0.020	0.511	100%
17	1	1	1.0	0.010	0.406	100%
18	1	1	1.0	0.010	0.406	100%
19	1	1	1.0	0.010	0.406	100%
20	1	1	1.0	0.010	0.406	100%
21	1	1	1.0	0.010	0.406	100%
22	1	1	1.0	0.010	0.406	100%
23	1	1	1.0	0.010	0.406	100%
24	1	1	1.0	0.010	0.406	100%
25	1	1	1.0	0.010	0.406	100%
26	1	1	1.0	0.010	0.406	100%
27	1	1	2.0	0.010	0.406	100%
28	1	1	2.0	0.010	0.406	100%
29	1	1	2.0	0.010	0.406	100%
30	1	1	2.0	0.010	0.406	100%
31	1	1	2.0	0.010	0.406	100%
32	1	1	2.0	0.010	0.406	100%
33	1	1	2.0	0.010	0.406	100%
34	1	1	2.0	0.010	0.406	100%
35	1	1	2.0	0.010	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.