Hiroaki Hayashi

4.0k total citations · 1 hit paper
19 papers, 2.3k citations indexed

About

Hiroaki Hayashi is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Hiroaki Hayashi has authored 19 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Electrical and Electronic Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in Hiroaki Hayashi's work include Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers) and Advancements in Photolithography Techniques (3 papers). Hiroaki Hayashi is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers) and Advancements in Photolithography Techniques (3 papers). Hiroaki Hayashi collaborates with scholars based in Japan, United States and United Kingdom. Hiroaki Hayashi's co-authors include Graham Neubig, Pengfei Liu, Zhengbao Jiang, Jinlan Fu, Weizhe Yuan, Zi-Yi Dou, Keiichirō Nasu, Chenyan Xiong, Peng Wang and Jayanth Koushik and has published in prestigious journals such as Physical review. B, Condensed matter, Physical Review B and ACM Computing Surveys.

In The Last Decade

Hiroaki Hayashi

18 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

2022 2.0k citations Pengfei Liu, Weizhe Yuan et al. ACM Computing Surveys profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hiroaki Hayashi Japan	9	1.6k	423	342	120	118	19	2.3k
Weizhe Yuan United States	5	1.4k 0.9×	411 1.0×	344 1.0×	125 1.0×	122 1.0×	13	2.1k
Zhengbao Jiang United States	11	1.8k 1.2×	508 1.2×	485 1.4×	131 1.1×	138 1.2×	16	2.6k
Jinlan Fu China	15	2.1k 1.3×	538 1.3×	439 1.3×	121 1.0×	124 1.1×	28	2.9k
Lin Li China	22	1.0k 0.7×	367 0.9×	428 1.3×	78 0.7×	178 1.5×	243	2.0k
Wei Ye China	13	756 0.5×	155 0.4×	237 0.7×	87 0.7×	181 1.5×	41	1.4k
Andrea Madotto Hong Kong	17	1.6k 1.0×	280 0.7×	214 0.6×	293 2.4×	50 0.4×	42	2.4k
Xintao Wu United States	26	2.0k 1.3×	247 0.6×	472 1.4×	58 0.5×	527 4.5×	146	2.7k
Hannaneh Hajishirzi United States	31	3.5k 2.2×	1.1k 2.7×	556 1.6×	72 0.6×	91 0.8×	114	4.1k
Shimei Pan United States	21	1.3k 0.8×	457 1.1×	352 1.0×	55 0.5×	127 1.1×	92	2.2k

Countries citing papers authored by Hiroaki Hayashi

Since Specialization

Citations

This map shows the geographic impact of Hiroaki Hayashi'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 Hiroaki Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroaki Hayashi more than expected).

Fields of papers citing papers by Hiroaki Hayashi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hiroaki Hayashi. 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 Hiroaki Hayashi. The network helps show where Hiroaki Hayashi may publish in the future.

Co-authorship network of co-authors of Hiroaki Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroaki Hayashi. A scholar is included among the top collaborators of Hiroaki Hayashi 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 Hiroaki Hayashi. Hiroaki Hayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Liu, Pengfei, Weizhe Yuan, Jinlan Fu, et al.. (2022). Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing. ACM Computing Surveys. 55(9). 1–35. 2003 indexed citations breakdown →

Hu, Junjie, Hiroaki Hayashi, Kyunghyun Cho, & Graham Neubig. (2022). DEEP: DEnoising Entity Pre-training for Neural Machine Translation. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 1753–1766. 7 indexed citations

Dou, Zi-Yi, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, & Graham Neubig. (2021). GSum: A General Framework for Guided Neural Abstractive Summarization. 4830–4842. 122 indexed citations

Hayashi, Hiroaki, et al.. (2021). WikiAsp: A Dataset for Multi-domain Aspect-based Summarization. Transactions of the Association for Computational Linguistics. 9. 211–225. 29 indexed citations

Heafield, Kenneth, Hiroaki Hayashi, Yusuke Oda, et al.. (2020). Findings of the Fourth Workshop on Neural Generation and Translation. Edinburgh Research Explorer. 1–9. 3 indexed citations

Hayashi, Hiroaki, et al.. (2020). Latent Relation Language Models. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 7911–7918. 21 indexed citations

Hayashi, Hiroaki, et al.. (2019). Learning to Describe Unknown Phrases with Local and Global Contexts. 21 indexed citations

Koushik, Jayanth & Hiroaki Hayashi. (2017). Improving Stochastic Gradient Descent with Feedback. 7 indexed citations

Littell, Patrick, Tian Tian, Ruochen Xu, et al.. (2017). The ARIEL-CMU situation frame detection pipeline for LoReHLT16: a model translation approach. Machine Translation. 32(1-2). 105–126. 3 indexed citations

10.

He, Chao, Bin Xie, Hiroaki Hayashi, et al.. (2011). 鉄系超伝導体BaFe 1.85 Co 0.15 As 2 のバンドの軌道特性. Physical Review B. 83(5). 1–54510. 22 indexed citations

11.

Suzuki, Noriyoshi, et al.. (2011). Periodic Broadcast Timing Reservation Multiple Access for Inter-vehicle Communication. Journal of Information Processing. 19. 141–152. 2 indexed citations

12.

Suzuki, Noriyoshi, et al.. (2009). Periodic Broadcast Type Timing Reservation MAC Protocol for Inter-Vehicle Communications. 48. 1–6.

13.

Takata, Tomoaki, Kenta Nakamura, Hiroaki Hayashi, et al.. (2006). A Character Size Optimization Technique for Throughput Enhancement of Character Projection Lithography. 26. 2561–2564. 8 indexed citations

14.

Nakamura, Kenta, et al.. (2006). Technology mapping technique for throughput enhancement of character projection equipment. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6151. 61510Z–61510Z. 10 indexed citations

15.

Takata, Tomoaki, Kenta Nakamura, Hiroaki Hayashi, et al.. (2005). Cell Library Development Methodology for Throughput Enhancement of Electron Beam Direct-Write Lithography Systems. 26. 137–140. 4 indexed citations

16.

Hayashi, Hiroaki, et al.. (2003). Particle element and size measurement using LIBS. Society of Instrument and Control Engineers of Japan. 2. 1191–1195. 2 indexed citations

17.

Takahashi, Hiroshi, et al.. (1990). A simulation study on the application of a fuzzy algorithm to a feedwater control system in a nuclear power plant. Reliability Engineering & System Safety. 28(3). 319–335. 10 indexed citations

18.

Hayashi, Hiroaki. (1988). Excitonic molecule with electron-hole exchange interaction. Physical review. B, Condensed matter. 38(6). 4016–4021. 1 indexed citations

19.

Hayashi, Hiroaki & Keiichirō Nasu. (1985). Effect of electron correlation on the ground state, the singlet-exciton states, and the triplet-exciton states oftrans-polyacetylene. Physical review. B, Condensed matter. 32(8). 5295–5302. 28 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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