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Citation Analysis

\bf Difference-in-Differences using Double Negative Controls and Graph Neural Networks for Unmeasured Network Confounding
Zihan Zhang, Lianyan Fu, Dehui Wang
https://arxiv.org/abs/2601.00603
85
Citation mentions
45
Cited references
11
Sections
5,753
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 Leung \harvardand\ Loupos 2022 13 5 22.0 0.153 1.000 100%
2 Kojevnikov, Marmer \harvardand\ Song 2021 7 4 13.0 0.082 1.000 100%
3 Leung 2022 4 3 6.0 0.047 0.928 100%
4 Miao, Geng \harvardand\ Tchetgen Tchetgen 2018 4 3 7.0 0.047 0.928 100%
5 Cui, Pu, Shi, Miao \harvardand\ Tchetgen Tchetgen 2024 5 2 8.0 0.059 0.874 100%
6 Egami \harvardand\ Tchetgen Tchetgen 2024 6 2 11.0 0.071 0.874 100%
7 Hoshino \harvardand\ Yanagi 2024 3 3 5.0 0.035 0.843 100%
8 Savje 2024 2 2 3.0 0.024 0.644 100%
9 Xu 2023 2 2 3.0 0.024 0.644 100%
10 Hansen 1982 2 2 3.0 0.024 0.644 100%
11 Kress 1989 2 1 4.0 0.024 0.511 100%
12 Farrell 2015 2 1 4.0 0.024 0.511 100%
13 He \harvardand\ Song 2024 1 1 1.0 0.012 0.406 100%
14 Paluck, Shepherd \harvardand\ Aronow 2016 1 1 1.0 0.012 0.406 100%
15 Halloran \harvardand\ Struchiner 1995 1 1 1.0 0.012 0.406 100%
16 Morozova, Cohen \harvardand\ Crawford 2018 1 1 1.0 0.012 0.406 100%
17 Christakis \harvardand\ Fowler 2013 1 1 1.0 0.012 0.406 100%
18 Rubin 1980 1 1 1.0 0.012 0.406 100%
19 Toulis \harvardand\ Kao 2013 1 1 1.0 0.012 0.406 100%
20 Athey, Eckles \harvardand\ Imbens 2018 1 1 1.0 0.012 0.406 100%
21 Li \harvardand\ Wager 2022 1 1 1.0 0.012 0.406 100%
22 Manski 2013 1 1 1.0 0.012 0.406 100%
23 Aronow \harvardand\ Samii 2017 1 1 1.0 0.012 0.406 100%
24 Savje, Aronow \harvardand\ Hudgens 2021 1 1 1.0 0.012 0.406 100%
25 Van der Laan 2014 1 1 1.0 0.012 0.406 100%
26 Forastiere, Airoldi \harvardand\ Mealli 2021 1 1 1.0 0.012 0.406 100%
27 Tchetgen Tchetgen, Fulcher \harvardand\ Shpitser 2021 1 1 1.0 0.012 0.406 100%
28 Leung 2023 1 1 1.0 0.012 0.406 100%
29 Ogburn, Sofrygin, Diaz \harvardand\ Van der Laan 2024 1 1 1.0 0.012 0.406 100%
30 Liu, Hudgens, Saul, Clemens, Ali \harvardand\ Emch 2019 1 1 1.0 0.012 0.406 100%
31 Manski 1993 1 1 1.0 0.012 0.406 100%
32 VanderWeele \harvardand\ An 2013 1 1 1.0 0.012 0.406 100%
33 Lipsitch, Tchetgen \harvardand\ Cohen 2010 1 1 1.0 0.012 0.406 100%
34 Shi, Miao, Nelson \harvardand\ Tchetgen Tchetgen 2020 1 1 1.0 0.012 0.406 100%
35 Sant’Anna \harvardand\ Zhao 2020 1 1 1.0 0.012 0.406 100%
36 Roth, Sant’Anna, Bilinski \harvardand\ Poe 2023 1 1 2.0 0.012 0.406 100%
37 Butts 2021 1 1 2.0 0.012 0.406 100%
38 Deuchert, Huber \harvardand\ Schelker 2019 1 1 2.0 0.012 0.406 100%
39 Chen, Liu, Ma \harvardand\ Zhang (self) 2024 1 1 2.0 0.012 0.406 100%
40 Doukhan \harvardand\ Louhichi 1999 1 1 2.0 0.012 0.406 100%
41 Imbens \harvardand\ Rubin 2015 1 1 2.0 0.012 0.406 100%
42 1 1 2.0 0.012 0.406 100%
43 Huang, Gao \harvardand\ Jia 2023 1 1 2.0 0.012 0.406 100%
44 Li, Liu, Song \harvardand\ Zhang (self) 2024 1 1 2.0 0.012 0.406 100%
45 Liu, Wang \harvardand\ Cai 2019 1 1 2.0 0.012 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.

Citation intensity data generated from LaTeX source analysis.