Hideaki Hayashi

2.6k total citations
118 papers, 1.7k citations indexed

About

Hideaki Hayashi is a scholar working on Biomedical Engineering, Condensed Matter Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Hideaki Hayashi has authored 118 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Biomedical Engineering, 32 papers in Condensed Matter Physics and 25 papers in Electrical and Electronic Engineering. Recurrent topics in Hideaki Hayashi's work include Superconducting Materials and Applications (34 papers), Physics of Superconductivity and Magnetism (32 papers) and Photochemistry and Electron Transfer Studies (12 papers). Hideaki Hayashi is often cited by papers focused on Superconducting Materials and Applications (34 papers), Physics of Superconductivity and Magnetism (32 papers) and Photochemistry and Electron Transfer Studies (12 papers). Hideaki Hayashi collaborates with scholars based in Japan, United States and Italy. Hideaki Hayashi's co-authors include S. Nagakura, Seiichi Uchida, Ryosuke Araki, Changhee Han, Hideki Nakayama, Giancarlo Mauri, Yujiro Furukawa, Leonardo Rundo, Toshio Tsuji and Wataru Shimoda and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Hideaki Hayashi

108 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideaki Hayashi Japan 22 327 306 275 272 229 118 1.7k
Sang‐Il Choi South Korea 25 303 0.9× 346 1.1× 381 1.4× 390 1.4× 420 1.8× 111 2.0k
Elmar W. Lang Germany 30 68 0.2× 804 2.6× 290 1.1× 863 3.2× 220 1.0× 205 3.6k
Satoshi Suzuki Japan 27 493 1.5× 172 0.6× 429 1.6× 325 1.2× 265 1.2× 238 2.8k
Jae Youn Hwang South Korea 26 110 0.3× 824 2.7× 132 0.5× 165 0.6× 156 0.7× 106 2.1k
Samuel S. Schoenholz United States 18 81 0.2× 315 1.0× 76 0.3× 251 0.9× 280 1.2× 36 2.8k
Mark K. Transtrum United States 18 59 0.2× 168 0.5× 50 0.2× 102 0.4× 172 0.8× 93 1.4k
Peter H. Bartels United States 29 29 0.1× 658 2.2× 401 1.5× 391 1.4× 247 1.1× 193 4.5k
Yanjun Ma United States 25 50 0.2× 106 0.3× 201 0.7× 466 1.7× 300 1.3× 96 2.0k
Changsheng Wang China 25 83 0.3× 108 0.4× 59 0.2× 427 1.6× 549 2.4× 123 2.4k
András Lörincz Hungary 21 73 0.2× 112 0.4× 224 0.8× 296 1.1× 145 0.6× 174 1.6k

Countries citing papers authored by Hideaki Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Hideaki Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideaki Hayashi

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

All Works

20 of 20 papers shown
1.
Hayashi, Hideaki, et al.. (2024). Deep Bayesian active learning-to-rank with relative annotation for estimation of ulcerative colitis severity. Medical Image Analysis. 97. 103262–103262. 3 indexed citations
2.
Hayashi, Hideaki, et al.. (2024). MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition. 6538–6548. 4 indexed citations
3.
Hayashi, Hideaki, et al.. (2019). Endoscopic Image Clustering with Temporal Ordering Information Based on Dynamic Programming. PubMed. 2019. 3681–3684.
4.
Han, Changhee, Hideaki Hayashi, Leonardo Rundo, et al.. (2018). GAN-based synthetic brain MR image generation. BOA (University of Milano-Bicocca). 734–738. 195 indexed citations
5.
Furui, Akira, et al.. (2017). An artificial EMG generation model based on signal-dependent noise and related application to motion classification. PLoS ONE. 12(6). e0180112–e0180112. 12 indexed citations
6.
Hayashi, Hideaki, et al.. (2015). A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis. IEEE Transactions on Neural Networks and Learning Systems. 26(12). 3021–3033. 18 indexed citations
7.
Nakashima, Shota, Hideaki Hayashi, Keisuke Shima, et al.. (2014). A Clinical Diagnosis Support System for General Movements Evaluation to Assess Spontaneous Movements in Infants. Transactions of the Society of Instrument and Control Engineers. 50(9). 684–692. 2 indexed citations
8.
Hayashi, Hideaki, et al.. (2013). Development of Pre-Crash Safety System with Pedestrian Collision Avoidance Assist. 17 indexed citations
9.
Kajikawa, K., et al.. (2008). Finite element analysis of pulsed field magnetization process in a cylindrical bulk superconductor. Physica C Superconductivity. 468(15-20). 1494–1497. 9 indexed citations
10.
Kohiyama, Masayuki, et al.. (2004). Early damaged area estimation system using DMSP-OLS night-time imagery. International Journal of Remote Sensing. 25(11). 2015–2036. 65 indexed citations
11.
Hibino, Sawako, Kohji Nishida, Daniel Serrano, et al.. (2003). The Effect of Ethanol Treatment on Rabbit Corneal Epithelium: A Histological Study. Investigative Ophthalmology & Visual Science. 44(13). 3834–3834. 1 indexed citations
12.
Hayashi, Hideaki, et al.. (2002). SSM-MP: more scalability in shared-memory multi-processor. 558–563.
13.
Hayashi, Hideaki, et al.. (2002). International collaboration for the early damaged area estimation system using DMSP/OLS nighttime images. 6. 2697–2699. 3 indexed citations
14.
Shimada, Kazuhiko, S. Hanai, Kanji Hirabayashi, et al.. (2001). Experimental and analytical studies on mechanical behavior of superconducting coil for SMES. IEEE Transactions on Applied Superconductivity. 11(1). 1912–1915. 4 indexed citations
15.
Tanaka, Hideki, M. Iwakuma, K. Funaki, et al.. (1999). Current Distribution in Superconducting Parallel Conductors wound to pancake coils. 59. 202. 2 indexed citations
16.
Imamura, Takuya, Naoto Tamai, Y Fukuda, et al.. (1987). External magnetic field effect on the fluorescence of CS2 excited to the V1B2 state with nanosecond and picosecond dye lasers. Chemical Physics Letters. 135(3). 208–212. 26 indexed citations
17.
Yagi, Mikio, S. Nagakura, & Hideaki Hayashi. (1973). Delayed charge-transfer fluorescence of the tetracyanobenzene-biphenyl complex in the crystalline state. Chemical Physics Letters. 18(2). 272–275. 9 indexed citations
18.
Hayashi, Hideaki. (1970). [Lens illumination photography with slit lamp microscopic photoapparatus].. PubMed. 12(9). 788–91. 1 indexed citations
19.
Itoh, K., Hideaki Hayashi, & S. Nagakura. (1969). Determination of the singlet-triplet separation of a weakly interacting radical pair from the E.S.R. spectrum. Molecular Physics. 17(6). 561–577. 48 indexed citations
20.
Yamagiwa, H, et al.. (1968). Stomach carcinomas with squamous component.. PubMed. 18(2). 89–97. 1 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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