--- title: "Gated recurrent unit (GRU): formula and 18 recent papers" description: "Gated recurrent unit (GRU) was mentioned in 18 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #47 of the 104 equations and models mentioned." url: https://scholar4ai.com/equations/gated-recurrent-unit-gru markdown_url: https://scholar4ai.com/equations/gated-recurrent-unit-gru.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) data_url: https://scholar4ai.com/data/rankings.json updated: 2026-10-26T13:22:50+09:00 window: 2026-09-27 to 2026-10-26 source: OpenAlex (CC0) --- # Gated recurrent unit (GRU) $$ h_t = (1 - z_t) \odot h_{t-1} + z_t \odot \tilde h_t $$ A simpler gated recurrent cell with update and reset gates. - area: Machine learning - 1 papers in the last 7 days - Names searched for: gated recurrent unit, GRU Back to the ranking: https://scholar4ai.com/rankings/equations.md ## Key findings - Gated recurrent unit (GRU) was mentioned in 18 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #47 of the 104 equations and models mentioned. - By journal category: AI (13), Finance (3) and Management (2). - Most of them appeared in Financial Innovation (2), Neural Networks (2) and Knowledge-Based Systems (2). - Often mentioned together with Long short-term memory (LSTM) (12), Convolutional neural network (CNN) (11) and Scaled dot-product attention (Transformer) (9). - Datasets named in the same papers: OR-Library (4), Amazon reviews (2) and Speech emotion (IEMOCAP, RAVDESS) (2). - From Apr 2024 to Sep 2026, 256 archived papers mentioned Gated recurrent unit (GRU) in their title, abstract or keywords, most of them in Jun 2025 (22). ## Mentions over 30 months *Papers mentioning it by publication month, Apr 2024 to Sep 2026 (titles, abstracts and keywords)* | Trend | Apr 24–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 30 months | |---|---:|---:|---:|---:| | | 73 | 166 | 17 | 256 | *Papers mentioning Gated recurrent unit (GRU), newest first.* | Date | Title | Journal | Authors | Affiliations | |---|---|---|---|---| | 2026-10-22 | [Research on the spatiotemporal prediction of supply chain finance risk contagion based on a dynamic graph attention diffusion mechanism](https://doi.org/10.1186/s40854-026-00980-3) | [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | Yulong Zhang, Yulong Zhang, Yaqing Zhang et al. | Hengshui University; Columbia University | | 2026-10-19 | [Tempered fractional rabies dynamics with deep neural surrogate modeling: Analysis, computation, and prediction](https://doi.org/10.1016/j.neunet.2026.109788) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Mohamed Nidhal Sallami, Ouissem Ben Fredj, Praveen Agarwal et al. | University of Sfax; University of Kairouan; Ajman University; … | | 2026-10-19 | [DReX: An explainable deep learning-based multimodal recommendation framework](https://doi.org/10.1016/j.knosys.2026.117184) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Adamya Shyam, Venkateswara Rao Kagita, Bharti Rana et al. | University of Delhi; National Institute of Technology Warangal | | 2026-10-17 | [Multi-Perspective explainability in traffic prediction: A neuro-symbolic approach using CNN-LSTMs and concept lattices](https://doi.org/10.1007/s10489-026-07512-7) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Suraya Syazwani Mohamad Yusof, Hadhrami Ab Ghani, Nurul Izrin Md Saleh et al. | Universiti Malaysia Kelantan; Universiti Teknikal Malaysia Melaka; University of Technology Malaysia | | 2026-10-16 | [Generative deep learning for class imbalance in credit risk modeling: comparative evaluation of synthetic oversampling methods and an elastic oversampling extension](https://doi.org/10.1186/s40854-026-00970-5) | [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | Tae Yeon Kwon | Hankuk University of Foreign Studies | | 2026-10-16 | [ITEACH-Net: Inverted teacher-student search network for emotion recognition in conversation](https://doi.org/10.1016/j.artint.2026.104643) | [Artificial Intelligence](https://scholar4ai.com/journals/artificial-intelligence.md) | Haiyang Sun, Zheng Lian, Chenglong Wang et al. | Chinese Academy of Sciences; Institute of Automation; University of Chinese Academy of Sciences; … | | 2026-10-15 | [VLGRA: Visual-Language Semantic Optimization and Graph Reasoning for cross-modal retrieval](https://doi.org/10.1016/j.ipm.2026.105238) | [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | Shiyuan Yang, Zhixin Li, 尤忠祥 et al. | Guangxi Normal University | | 2026-10-06 | [Learn from historical subgraph for temporal knowledge graph extrapolation reasoning](https://doi.org/10.1016/j.knosys.2026.117132) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Lin Zhu, Xin Ren, Luyi Bai | North Minzu University; Eastern University | | 2026-10-05 | [An innovative approach to stock forecasting: combining LSTM, VMD, and artificial rabbit optimization](https://doi.org/10.1186/s43093-026-00987-3) | [Future Business Journal](https://scholar4ai.com/journals/future-business-journal.md) | Homa Mehtarizadeh, Najme Mansouri, Behnam Mohammad Hasani Zade et al. | Shahid Bahonar University of Kerman | | 2026-10-03 | [Kinematic-aware AIS preprocessing and bidirectional recurrent modeling for multi-output vessel trajectory prediction](https://doi.org/10.1186/s40537-026-01562-x) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Marilena Sinni, Dimitris M. Kyriazanos | National Centre of Scientific Research "Demokritos" | | 2026-10-01 | [TFMNet: A Decomposition-Driven Hierarchical Framework for Multi-Step Forecasting of Nonstationary Industrial Time Series](https://doi.org/10.1016/j.eswa.2026.134826) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Wenkui Bian, Dakuo He, Runda Jia et al. | Northeastern University; Beijing General Research Institute of Mining and Metallurgy | | 2026-10-01 | [A domain-aware explainable AI framework for multi-class intrusion detection with cybersecurity-oriented semantic interpretation](https://doi.org/10.1007/s00521-026-12597-9) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Salah ElDin Zaher Olaymi | Taibah University | | 2026-10-01 | [Addressing Methodological Challenges in Time Series Anomaly Detection](https://doi.org/10.1007/s10994-026-07183-y) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Nancy Xu, Henrik Boström | | | 2026-10-01 | [Dynamic factor loadings and portfolio return prediction: Evidence from deep sequence models](https://doi.org/10.1016/j.iref.2026.105909) | [International Review of Economics & Finance](https://scholar4ai.com/journals/international-review-of-economics-finance.md) | Viktor Manahov, Zihao Hou, Dimitrios Stafylas | | | 2026-10-01 | [Detection of causality in sentences: a comparative study of ensemble and non-ensemble approaches across embedding paradigms with explainable AI](https://doi.org/10.1186/s40537-026-01553-y) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | C. H. Rohith, K. B. Sivachandra, Neethu Mohan et al. | Amrita Vishwa Vidyapeetham; Universitat Pompeu Fabra | | 2026-10-01 | [A comprehensive survey on multimodal sentiment analysis: Approaches, challenges and open issues](https://doi.org/10.1016/j.ijinfomgt.2026.103138) | [International Journal of Information Management](https://scholar4ai.com/journals/international-journal-of-information-management.md) | Fatemeh Hemmatian, Arash Sabbaghi, Mohammad Karim Sohrabi | Islamic Azad University Semnan | | 2026-10-01 | [Parallelizable memory recurrent units](https://doi.org/10.1016/j.neunet.2026.109797) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Florent De Geeter, Gaspard Lambrechts, Damien Ernst et al. | University of Liège | | 2026-09-30 | [A systematic evaluation of classical, transformer-based, and foundation models for photovoltaic power time-series forecasting](https://doi.org/10.1007/s00521-026-12498-x) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Diaa Salman, Imad Alzeer, Wahib Isayed | Al-Quds University | ## Cite this page Scholar4AI. (2026). Gated recurrent unit (GRU). Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/equations/gated-recurrent-unit-gru ```bibtex @misc{scholar4ai-equations-gated-recurrent-unit-gru, author = {{Scholar4AI}}, title = {Gated recurrent unit (GRU)}, year = {2026}, howpublished = {\url{https://scholar4ai.com/equations/gated-recurrent-unit-gru}}, urldate = {2026-10-26}, note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0} } ``` License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).