---
title: "Who cites GCAN: Graph-aware Co-Attention — 63 citing papers"
description: "63 papers of the Elamur Research library cite «GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social…"
canonical: "https://research.elamur.ai/free/en/papers/lu-2020-gcan-graph-aware-co-attention/cited-by/"
---
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# Who cites «GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media»

63 papers of our library cite it (of the 141,840 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media»](https://md.research.elamur.ai/free/en/papers/lu-2020-gcan-graph-aware-co-attention/)

1. [**A Survey on Automated Fact-Checking**Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos*2022 · 646 citations*](https://md.research.elamur.ai/free/en/papers/guo-2022-survey-automated-fact-checking/)
2. [**Fact-Checking Complex Claims with Program-Guided Reasoning**Liangming Pan, Xiaobao Wu, Xinyuan Lu, et al.*2023 · 146 citations*](https://md.research.elamur.ai/free/en/papers/pan-2023-fact-checking-complex-claims-program/)
3. [**Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification**Libo Qin, Zhouyang Li, Wanxiang Che, et al.*2020 · 84 citations*](https://md.research.elamur.ai/free/en/papers/qin-2020-co-gat-co-interactive-graph/)

60 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/lu-2020-gcan-graph-aware-co-attention/) — GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media