Citation Analysis

Forecasting Crypto Market Risk via Liquidity Spillovers:\\ A Multi-Layer Granger--VAR--HAR-X--ML Pipeline
Yimeng Qiu, Feihuang Fang
https://arxiv.org/abs/2510.20066
28
Citation mentions
18
Cited references
6
Sections
1,243
Words (approx)

References by Citation Intensity

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

# Reference Year Mentions Breadth Sec. Wtd Share Composite Main %
1 Amihud, Yakov 2002 3 3 3.5 0.107 0.843 100%
2 Granger, C. W. J. 1969 3 3 3.5 0.107 0.737 67%
3 Sims, Christopher A. 1980 3 3 3.5 0.107 0.737 67%
4 Corsi, Fulvio 2009 3 3 3.5 0.107 0.737 67%
5 Chen, Tianqi and Guestrin, Carlos 2016 2 2 2.5 0.071 0.644 100%
6 Lundberg, Scott M. and Lee, Su-In 2017 2 2 2.5 0.071 0.644 100%
7 Chordia, Tarun and Roll, Richard and Subrahmanyam,... 2000 1 1 1.0 0.036 0.406 100%
8 Diebold, Francis X. and Yilmaz, Kamil 2012 1 1 1.0 0.036 0.406 100%
9 Barun\'\i 2018 1 1 1.0 0.036 0.406 100%
10 Parkinson, Michael 1980 1 1 0.5 0.036 0.406 100%
11 Bollerslev, Tim 1986 1 1 0.5 0.036 0.406 100%
12 Newey, Whitney K. and West, Kenneth D. 1987 1 1 0.5 0.036 0.406 100%
13 Sergey Brin and Lawrence Page 1998 1 1 2.0 0.036 0.406 100%
14 Liu, Yujun and Li, Zhongfei and Nekhili, Ramzi and... 2023 1 1 2.0 0.036 0.406 100%
15 Wang, Yijun and Andreeva, Galina and Martin-Barrag... 2023 1 1 2.0 0.036 0.406 100%
16 Qiu, Yue and Wang, Yifan and Xie, Tian (self) 2021 1 1 2.0 0.036 0.406 100%
17 Adelopo, Ismail and Luo, Xiaojun 2025 1 1 2.0 0.036 0.406 100%
18 Hasan, Mudassar and Naeem, Muhammad Abubakr and Ar... 2022 1 1 2.0 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.