M. Hanai

928 total citations
49 papers, 568 citations indexed

About

M. Hanai is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Computer Networks and Communications. According to data from OpenAlex, M. Hanai has authored 49 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 24 papers in Materials Chemistry and 8 papers in Computer Networks and Communications. Recurrent topics in M. Hanai's work include High voltage insulation and dielectric phenomena (23 papers), Power Transformer Diagnostics and Insulation (16 papers) and Lightning and Electromagnetic Phenomena (8 papers). M. Hanai is often cited by papers focused on High voltage insulation and dielectric phenomena (23 papers), Power Transformer Diagnostics and Insulation (16 papers) and Lightning and Electromagnetic Phenomena (8 papers). M. Hanai collaborates with scholars based in Japan, Singapore and China. M. Hanai's co-authors include T. Hoshino, C.S. Chang, N. Kobayashi, Jaehyeok Jin, Toyotaro Suzumura, H. Ōkubo, K. Nojima, S. Maruyama, Naoki Hayakawa and H. Kojima and has published in prestigious journals such as The Journal of Chemical Physics, IEEE Transactions on Power Delivery and Proceedings of the VLDB Endowment.

In The Last Decade

M. Hanai

44 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Hanai Japan 15 363 347 105 94 79 49 568
Lijun Jin China 14 273 0.8× 175 0.5× 108 1.0× 143 1.5× 63 0.8× 86 543
T. Hoshino Japan 18 627 1.7× 635 1.8× 114 1.1× 65 0.7× 276 3.5× 59 784
Yuqiang Liu China 12 84 0.2× 132 0.4× 55 0.5× 197 2.1× 18 0.2× 62 605
Arup Kumar Das India 12 239 0.7× 130 0.4× 75 0.7× 36 0.4× 36 0.5× 46 430
Tingting Yuan China 15 332 0.9× 74 0.2× 37 0.4× 63 0.7× 24 0.3× 67 622
Zhen Wei China 14 471 1.3× 73 0.2× 285 2.7× 21 0.2× 19 0.2× 91 832
Hongwu Peng United States 15 531 1.5× 110 0.3× 42 0.4× 118 1.3× 22 0.3× 48 734
L. Satish India 23 1.3k 3.7× 1.1k 3.1× 285 2.7× 180 1.9× 337 4.3× 60 1.6k
G.W. Swift Canada 18 1.3k 3.6× 401 1.2× 730 7.0× 33 0.4× 164 2.1× 52 1.4k
Hyeong-Seok Kim South Korea 13 405 1.1× 47 0.1× 63 0.6× 36 0.4× 25 0.3× 77 588

Countries citing papers authored by M. Hanai

Since Specialization
Citations

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

Fields of papers citing papers by M. Hanai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Hanai

This figure shows the co-authorship network connecting the top 25 collaborators of M. Hanai. A scholar is included among the top collaborators of M. Hanai 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 M. Hanai. M. Hanai 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.
Shiba, Hayato, M. Hanai, Toyotaro Suzumura, & Takashi Shimokawabe. (2023). BOTAN: BOnd TArgeting Network for prediction of slow glassy dynamics by machine learning relative motion. The Journal of Chemical Physics. 158(8). 84503–84503. 23 indexed citations
2.
Hanai, M., Mitsuaki Kawamura, Ryo Ishikawa, Toyotaro Suzumura, & Kenjiro Taura. (2023). Cloud Data Acquisition from Shared-Use Facilities in A University-Scale Laboratory Information Management System. 1–9. 1 indexed citations
3.
Hanai, M., Toyotaro Suzumura, Georgios Theodoropoulos, & Kalyan S. Perumalla. (2015). Towards large-scale what-if traffic simulation with exact-differential simulation. Winter Simulation Conference. 748–756. 1 indexed citations
4.
Hanai, M., Toyotaro Suzumura, Georgios Theodoropoulos, & Kalyan S. Perumalla. (2015). Exact-Differential Large-Scale Traffic Simulation. Durham Research Online (Durham University). 271–280. 9 indexed citations
5.
Kojima, H., et al.. (2014). Influence of longitudinal temperature distribution on current limiting function of Superconducting Fault Current Limiting Cable (SFCLC). Journal of Physics Conference Series. 507(3). 32026–32026. 4 indexed citations
6.
7.
Hanai, M. & Kazuyuki Shudo. (2012). Simulation of Large-Scale Distributed Systems with a Distributed Graph Processing System. IEICE technical report. Speech. 111(468). 529–534.
8.
Hayakawa, Naoki, H. Kojima, M. Hanai, et al.. (2012). Feasibility Study of Superconducting Power Flow Controller and Fault Current Limiter (SPFCL). IEEE Transactions on Applied Superconductivity. 23(3). 5600504–5600504.
9.
Kojima, H., M. Ishida, Naoki Hayakawa, et al.. (2012). Charge behavior and partial discharge characteristics on alumina dielectrics under AC voltage application in vacuum. 68–71. 6 indexed citations
10.
Kurimoto, Muneaki, Hiroto Watanabe, K. Kato, et al.. (2009). Dielectric characteristics of epoxy/alumina nanocomposite with particle dispersion techniques using ultrasonic wave and centrifugal force. 515–518. 2 indexed citations
11.
Kurimoto, Muneaki, Hiroto Watanabe, K. Kato, et al.. (2008). Dielectric Properties of Epoxy/Alumina Nanocomposite Influenced by Particle Dispersibility. 706–709. 13 indexed citations
12.
Hoshina, Yoshikazu, et al.. (2006). Lightning impulse breakdown characteristics of SF 6 alternative gases for gas-insulated switchgear. IEE Proceedings - Science Measurement and Technology. 153(1). 1–6. 17 indexed citations
13.
Jin, Jaehyeok, et al.. (2006). Classification of partial discharge events in gas-insulated substations using wavelet packet transform and neural network approaches. IEE Proceedings - Science Measurement and Technology. 153(2). 55–63. 17 indexed citations
14.
Jin, Jaehyeok, et al.. (2006). Online source recognition of partial discharge for gas insulated substations using independent component analysis. IEEE Transactions on Dielectrics and Electrical Insulation. 13(4). 892–902. 17 indexed citations
15.
Chang, C.S., Jiong Jin, Sanjeev Kumar, et al.. (2005). Denoising of partial discharge signals in wavelet packets domain. IEE Proceedings - Science Measurement and Technology. 152(3). 129–140. 40 indexed citations
16.
17.
Chang, C.S., et al.. (2005). Source classification of partial discharge for gas insulated substation using waveshape pattern recognition. IEEE Transactions on Dielectrics and Electrical Insulation. 12(2). 374–386. 44 indexed citations
18.
Hoshino, T., S. Maruyama, K. Nojima, & M. Hanai. (2005). A Unique Sensitivity Verification Combined With Real-Time Partial-Discharge Identification Method. IEEE Transactions on Power Delivery. 20(3). 1890–1896. 19 indexed citations
19.
Yamada, Yutaka, et al.. (2000). Pilot study of continuous low-dose 5-fluorouracil and cisplatin (FP regimen) for the treatment of metastatic breast cancer. International Journal of Clinical Oncology. 5(1). 18–21. 6 indexed citations
20.
Morita, Masayuki, M. Hanai, & H. Shimanuki. (1973). Voltage stabilizers and their mechanisms in solid dielectrics. 299–306. 2 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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