---
title: "Who cites A self-attentive model for knowledge tracing"
description: "21 papers of the Elamur Research library cite «A self-attentive model for knowledge tracing», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/pandey-2019-self-attentive-model-knowledge-tracing/cited-by/"
---
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# Who cites «A self-attentive model for knowledge tracing»

21 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «A self-attentive model for knowledge tracing»](https://md.research.elamur.ai/free/en/papers/pandey-2019-self-attentive-model-knowledge-tracing/)

1. **[Context-Aware Attentive Knowledge Tracing](https://md.research.elamur.ai/free/en/papers/ghosh-2020-context-aware-attentive-knowledge-tracing/) [ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD)](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/)**Aritra Ghosh, Neil Heffernan, Andrew S. Lan*2020 · 601 citations*
2. **[Knowledge Tracing: A Survey](https://md.research.elamur.ai/free/en/papers/abdelrahman-2023-knowledge-tracing-survey/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Ghodai Abdelrahman, Qing Wang, Bernardo Nunes*2023 · 480 citations*
3. **[Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing](https://md.research.elamur.ai/free/en/papers/choi-2020-appropriate-query-key-value-computation/) [ACM Conference on Learning @ Scale (L@S)](https://md.research.elamur.ai/free/en/venues/acm-conference-on-learning-scale-l-s/)**Youngduck Choi, Youngnam Lee, Junghyun Cho, et al.*2020 · 267 citations*
4. **[LLM-KT: Enhancing Large Language Models with Knowledge Tracing via Multi-Level Plug-and-Play Alignment](https://md.research.elamur.ai/free/en/papers/wang-2026-llm-kt-enhancing-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ziwei Wang, Jie Zhou, Qin Chen, et al.*2026 · 1 citation*
5. **[Tracing Mathematical Proficiency Through Problem-Solving Processes](https://md.research.elamur.ai/free/en/papers/park-2026-tracing-mathematical-proficiency-through-problem/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jungyang Park, Suho Kang, Jaewoo Park, et al.*2026*
6. **[Review and Performance Comparison of Deep Knowledge Tracing Models (深度知识追踪模型综述和性能比较)](https://md.research.elamur.ai/free/en/papers/wang-2022-performance-comparison-deep/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yu Wang (王宇), Mengxia Zhu (朱梦霞), Shanghui Yang (杨尚辉), et al.*2022*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/pandey-2019-self-attentive-model-knowledge-tracing/) — A self-attentive model for knowledge tracing