---
title: "Who cites A Time Series is Worth 64 Words: — 79 citing papers"
description: "79 papers of the Elamur Research library cite «A Time Series is Worth 64 Words: Long-term Forecasting with Transformers», found in their…"
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# Who cites «A Time Series is Worth 64 Words: Long-term Forecasting with Transformers»

79 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 Time Series is Worth 64 Words: Long-term Forecasting with Transformers»](https://md.research.elamur.ai/free/en/papers/nie-2022-time-series-worth-64-words/)

1. [**Time-LLM: Time Series Forecasting by Reprogramming Large Language Models arXiv:2310.01728**Ming Jin, Shiyu Wang, Lintao Ma, et al.*2023 · 77 citations*](https://md.research.elamur.ai/free/en/papers/jin-2023-time-llm-time-series-forecasting/)
2. **[SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition](https://md.research.elamur.ai/free/en/papers/li-2025-sensorllm-aligning-large-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zechen Li, Shohreh Deldari, Linyao Chen, et al.*2025 · 27 citations*
3. **[STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/ni-2026-streasoner-empowering-llms-spatio-temporal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Juntong Ni, Shiyu Wang, Qi He, et al.*2026 · 3 citations*
4. **[Enhancing Zero-Shot Time Series Forecasting in Off-the-Shelf LLMs via Noise Injection Prompting](https://md.research.elamur.ai/free/en/papers/yin-2026-enhancing-zero-shot-time-series/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xingyou Yin, Ceyao Zhang, Min Hu, et al.*2026*
5. **[Markovian Linguistic-Temporal Bridge: Unlocking the Potential of LLMs for Time Series Forecasting](https://md.research.elamur.ai/free/en/papers/sun-2026-markovian-linguistic-temporal-bridge-unlocking/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Siming Sun, Kai Zhang, Xuejun Jiang, et al.*2026*
6. **[TimeSAF: Towards LLM-Guided Semantic Asynchronous Fusion for Time Series Forecasting](https://md.research.elamur.ai/free/en/papers/zhang-2026-timesaf-llm-guided-semantic-asynchronous/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fan Zhang, Shiming Fan, Hua Wang*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/nie-2022-time-series-worth-64-words/) — A Time Series is Worth 64 Words: Long-term Forecasting with Transformers