Citation Analysis

\Large\bf Factor Models of Matrix-Valued Time Series with Nonstationarity
Degui Li, Yayi Yan, Qiwei Yao
https://arxiv.org/abs/2508.11358

107

Citation mentions

Cited references

Sections

4,226

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	0.121	1.000	100%
2	7	4	11.0	0.065	1.000	100%
3	6	3	10.0	0.056	1.000	100%
4	6	4	10.0	0.056	1.000	100%
5	5	4	8.0	0.047	1.000	100%
6	5	3	8.0	0.047	1.000	100%
7	5	4	9.0	0.047	1.000	100%
8	5	3	10.0	0.047	1.000	100%
9	5	2	6.0	0.047	0.874	100%
10	3	3	5.0	0.028	0.843	100%
11	3	2	4.0	0.028	0.737	100%
12	3	2	4.0	0.028	0.737	100%
13	3	2	5.0	0.028	0.737	100%
14	2	2	3.0	0.019	0.644	100%
15	2	2	3.0	0.019	0.644	100%
16	2	2	3.0	0.019	0.644	100%
17	2	2	3.0	0.019	0.644	100%
18	2	2	3.0	0.019	0.644	100%
19	2	2	4.0	0.019	0.644	100%
20	2	2	4.0	0.019	0.644	100%
21	2	2	4.0	0.019	0.644	100%
22	2	2	4.0	0.019	0.644	100%
23	2	1	2.0	0.019	0.511	100%
24	2	1	4.0	0.019	0.511	100%
25	1	1	1.0	0.009	0.406	100%
26	1	1	1.0	0.009	0.406	100%
27	1	1	1.0	0.009	0.406	100%
28	1	1	1.0	0.009	0.406	100%
29	1	1	1.0	0.009	0.406	100%
30	1	1	1.0	0.009	0.406	100%
31	1	1	1.0	0.009	0.406	100%
32	1	1	2.0	0.009	0.406	100%
33	1	1	2.0	0.009	0.406	100%
34	1	1	2.0	0.009	0.406	100%
35	1	1	2.0	0.009	0.406	100%
36	1	1	2.0	0.009	0.406	100%
37	1	1	2.0	0.009	0.406	100%
38	1	1	2.0	0.009	0.406	100%
39	1	1	2.0	0.009	0.406	100%
40	1	1	2.0	0.009	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.