Ryuichi Takanobu

1.2k total citations
16 papers, 469 citations indexed

About

Ryuichi Takanobu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ryuichi Takanobu has authored 16 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ryuichi Takanobu's work include Topic Modeling (13 papers), Speech and dialogue systems (8 papers) and Natural Language Processing Techniques (7 papers). Ryuichi Takanobu is often cited by papers focused on Topic Modeling (13 papers), Speech and dialogue systems (8 papers) and Natural Language Processing Techniques (7 papers). Ryuichi Takanobu collaborates with scholars based in China, United States and Switzerland. Ryuichi Takanobu's co-authors include Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Qi Zhu, Minlie Huang, Zheng Zhang, Heng Ji, Yujia Qin, Peng Li and Maosong Sun and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE/ACM Transactions on Audio Speech and Language Processing and Science China Technological Sciences.

In The Last Decade

Ryuichi Takanobu

15 papers receiving 452 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ryuichi Takanobu China 11 418 90 67 25 20 16 469
Segev Shlomov Israel 5 387 0.9× 79 0.9× 50 0.7× 21 0.8× 27 1.4× 11 465
Rotem Dror Israel 9 366 0.9× 57 0.6× 51 0.8× 18 0.7× 24 1.2× 13 427
Julien Plu France 5 468 1.1× 91 1.0× 55 0.8× 38 1.5× 22 1.1× 10 507
Meng Zhao China 8 318 0.8× 61 0.7× 45 0.7× 10 0.4× 19 0.9× 34 380
Wenpeng Hu China 12 390 0.9× 125 1.4× 56 0.8× 12 0.5× 12 0.6× 27 438
Oren Melamud Israel 8 410 1.0× 44 0.5× 42 0.6× 17 0.7× 26 1.3× 14 458
Jayant Krishnamurthy United States 9 434 1.0× 161 1.8× 42 0.6× 36 1.4× 20 1.0× 17 471
Xiangyang Zhou China 7 473 1.1× 67 0.7× 56 0.8× 12 0.5× 9 0.5× 9 502
Yuxian Gu China 6 259 0.6× 72 0.8× 44 0.7× 18 0.7× 14 0.7× 9 311
Daniel Beck Australia 8 304 0.7× 62 0.7× 45 0.7× 10 0.4× 37 1.9× 29 365

Countries citing papers authored by Ryuichi Takanobu

Since Specialization
Citations

This map shows the geographic impact of Ryuichi Takanobu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ryuichi Takanobu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryuichi Takanobu more than expected).

Fields of papers citing papers by Ryuichi Takanobu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryuichi Takanobu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ryuichi Takanobu. The network helps show where Ryuichi Takanobu may publish in the future.

Co-authorship network of co-authors of Ryuichi Takanobu

This figure shows the co-authorship network connecting the top 25 collaborators of Ryuichi Takanobu. A scholar is included among the top collaborators of Ryuichi Takanobu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ryuichi Takanobu. Ryuichi Takanobu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Takanobu, Ryuichi, et al.. (2024). Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding. 13700–13710. 31 indexed citations
2.
Takanobu, Ryuichi, et al.. (2022). End-to-End Task-Oriented Dialog Modeling With Semi-Structured Knowledge Management. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 2173–2187. 3 indexed citations
3.
Li, Jinchao, Qi Zhu, Lars Lidén, et al.. (2021). Multi-domain Task-oriented Dialog Challenge II at DSTC9. National Conference on Artificial Intelligence. 3 indexed citations
4.
Takanobu, Ryuichi, et al.. (2021). CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 1839–1851. 29 indexed citations
5.
Takanobu, Ryuichi, et al.. (2021). HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management. 8 indexed citations
6.
Qin, Yujia, Yankai Lin, Ryuichi Takanobu, et al.. (2021). ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning. 3350–3363. 59 indexed citations
7.
Takanobu, Ryuichi, et al.. (2021). Turn-Level User Satisfaction Estimation in E-commerce Customer Service. 26–32. 1 indexed citations
8.
Takanobu, Ryuichi, et al.. (2021). Robustness Testing of Language Understanding in Task-Oriented Dialog. 18 indexed citations
9.
Takanobu, Ryuichi, Qi Zhu, Jinchao Li, et al.. (2020). Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation. 297–310. 1 indexed citations
10.
Li, Jinchao, Baolin Peng, Sung‐Jin Lee, et al.. (2020). Results of the Multi-Domain Task-Completion Dialog Challenge. National Conference on Artificial Intelligence. 13 indexed citations
11.
Zhang, Zheng, Ryuichi Takanobu, Qi Zhu, Minlie Huang, & Xiaoyan Zhu. (2020). Recent advances and challenges in task-oriented dialog systems. Science China Technological Sciences. 63(10). 2011–2027. 97 indexed citations
12.
Liao, Lizi, Ryuichi Takanobu, Yunshan Ma, et al.. (2020). Topic-Guided Conversational Recommender in Multiple Domains. IEEE Transactions on Knowledge and Data Engineering. 34(5). 2485–2496. 12 indexed citations
13.
Takanobu, Ryuichi, et al.. (2020). Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition. 625–638. 28 indexed citations
14.
Zhao, Xiang, et al.. (2020). Joint Event Extraction with Hierarchical Policy Network. 2653–2664. 11 indexed citations
15.
Takanobu, Ryuichi, et al.. (2019). A Hierarchical Framework for Relation Extraction with Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 7072–7079. 130 indexed citations
16.
Takanobu, Ryuichi, Minlie Huang, Feng-Lin Li, et al.. (2018). A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning. 4403–4410. 25 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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