Masaki Kobayashi

2.7k total citations
230 papers, 2.1k citations indexed

About

Masaki Kobayashi is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Masaki Kobayashi has authored 230 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Artificial Intelligence, 62 papers in Computational Mechanics and 48 papers in Computer Vision and Pattern Recognition. Recurrent topics in Masaki Kobayashi's work include Neural Networks and Applications (78 papers), Advanced Adaptive Filtering Techniques (51 papers) and Speech and Audio Processing (32 papers). Masaki Kobayashi is often cited by papers focused on Neural Networks and Applications (78 papers), Advanced Adaptive Filtering Techniques (51 papers) and Speech and Audio Processing (32 papers). Masaki Kobayashi collaborates with scholars based in Japan, China and United Kingdom. Masaki Kobayashi's co-authors include Yasuo OCHI, Takashi Matsumura, Shinya Yoshida, Tomokazu Sano, Yuji Sano, Shigeru Tachibana, Kôji Hayashi, Hiroshi Gotoda, Yuta Okuno and Fumio Okano and has published in prestigious journals such as IEEE Transactions on Signal Processing, Chemical Engineering Science and Cement and Concrete Composites.

In The Last Decade

Masaki Kobayashi

207 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masaki Kobayashi Japan 23 838 474 412 412 365 230 2.1k
Chun Yin China 30 479 0.6× 679 1.4× 244 0.6× 362 0.9× 479 1.3× 127 3.1k
Hanping Hu China 26 516 0.6× 368 0.8× 1.1k 2.6× 215 0.5× 222 0.6× 126 2.6k
Ming Liu China 38 577 0.7× 1.7k 3.6× 379 0.9× 430 1.0× 344 0.9× 187 6.2k
Hao Hu China 19 223 0.3× 291 0.6× 699 1.7× 280 0.7× 259 0.7× 86 1.5k
Xinkai Chen Japan 38 308 0.4× 705 1.5× 321 0.8× 477 1.2× 583 1.6× 235 4.8k
Khanh Pham United States 23 786 0.9× 720 1.5× 267 0.6× 209 0.5× 375 1.0× 303 3.3k
Chunlin Chen China 32 1.6k 1.9× 446 0.9× 782 1.9× 134 0.3× 661 1.8× 203 3.3k
Changxi Zheng United States 29 208 0.2× 262 0.6× 735 1.8× 144 0.3× 187 0.5× 87 2.4k
Prahlad Vadakkepat Singapore 26 708 0.8× 244 0.5× 872 2.1× 281 0.7× 195 0.5× 120 2.5k
Bei Yu Hong Kong 35 982 1.2× 392 0.8× 1.0k 2.4× 233 0.6× 3.7k 10.0× 394 5.5k

Countries citing papers authored by Masaki Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Masaki Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaki Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Masaki Kobayashi. A scholar is included among the top collaborators of Masaki Kobayashi 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 Masaki Kobayashi. Masaki Kobayashi 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.
Kobayashi, Masaki. (2024). Group ring-valued Hopfield networks. Nonlinear Theory and Its Applications IEICE. 15(4). 910–919. 1 indexed citations
2.
Kobayashi, Masaki. (2024). Complex-valued Hopfield associative memories with hybrid connections. Nonlinear Theory and Its Applications IEICE. 16(1). 13–29. 1 indexed citations
3.
Kobayashi, Masaki, et al.. (2023). Generation of IDS Signatures through Exhaustive Execution Path Exploration in PoC Codes for Vulnerabilities. Journal of Information Processing. 31(0). 591–601. 1 indexed citations
4.
Kobayashi, Masaki, et al.. (2019). A Case of Railway Structures Using New ASR Control Measures and Mineral Admixtures. Concrete Journal. 57(7). 498–503. 1 indexed citations
5.
Kobayashi, Masaki. (2017). Hyperbolic Hopfield neural networks with directional multistate activation function. Neurocomputing. 275. 2217–2226. 37 indexed citations
6.
Kobayashi, Masaki, et al.. (2017). Fundamental Study on Generalization of the Dielectric Measurement Procedure in liquids via the Cut-off Circular Waveguide Reflection Method by Using a Comparison Formula with a Reference Material and a Commercially Available Electromagnetic Field Simulator. IEICE Technical Report; IEICE Tech. Rep.. 116(515). 23–28. 1 indexed citations
7.
Kobayashi, Masaki, et al.. (2014). Centrifuge Model tests on Failure Pattern of Group Column Type Deep Mixing Improved Ground. 4 indexed citations
8.
Kobayashi, Masaki, et al.. (2014). Prototype and Characteristic Evaluation of a Soundless Type Tube Pump Using Shape Memory Alloy Actuators. Journal of the Japan Society of Applied Electromagnetics and Mechanics. 22(2). 268–273. 1 indexed citations
9.
Kobayashi, Masaki, et al.. (2012). A Study on Bias Free Cascaded Adaptive Notch Filter Using Adaptive Line Enhancer. IEICE Technical Report; IEICE Tech. Rep.. 112(207). 57–62. 2 indexed citations
10.
Kobayashi, Masaki, et al.. (2011). A Study on Adaptive Notch Filter Using Second-Order Allpass Filter and Adaptive Line Enhancer. IEICE Technical Report; IEICE Tech. Rep.. 111(342). 69–74. 1 indexed citations
11.
Kobayashi, Masaki, et al.. (2011). Complex-valued Associative Memory with Strong Thresholds. 45. 4 indexed citations
12.
Kobayashi, Masaki, et al.. (2008). An equation error algorithm based on correlation function with variable delay. European Signal Processing Conference. 1–5. 1 indexed citations
13.
Tsukada, Takao, Masaki Kobayashi, & Chengjun Jing. (2007). A global analysis of heat transfer in the CZ crystal growth of oxide: Recent developments in the model. Journal of Crystal Growth. 303(1). 150–155. 14 indexed citations
14.
Kobayashi, Masaki, et al.. (2005). A Study on an Adaptive Noise Canceller. IEICE technical report. Speech. 105(297). 13–18. 1 indexed citations
15.
Tsukada, Takao, Masaki Kobayashi, Chengjun Jing, & Nobuyuki Imaishi. (2005). Numerical Simulation of CZ Crystal Growth of Oxide. 1(1). 45–62. 9 indexed citations
16.
Kobayashi, Masaki, et al.. (2004). Parallel Composition Based Adaptive Notch Filter: Performance and Analysis. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 87(7). 1747–1755. 7 indexed citations
17.
Fukui, Yutaka, et al.. (1999). A Simple Algorithm for Adaptive Allpass-FIR Digital Filter Using Lattice Allpass Filter with Minimum Multipliers. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 82(1). 138–144.
18.
Kobayashi, Masaki, et al.. (1999). A Study on an Algorithm and a Convergence Performance for Adaptive Notch Filter Utilizing an Allpass Filte. 82(3). 325–332. 14 indexed citations
19.
Kim, Young‐Bok, Masao Ikeda, Yasumasa Fujisaki, & Masaki Kobayashi. (1998). Robust Stability of a Two-Degree-of-Freedom Servosystem with a Tuning Gain. Transactions of the Society of Instrument and Control Engineers. 34(10). 1411–1418.
20.
Kobayashi, Masaki, et al.. (1982). Use of Mineral Fines in High Strength Concrete -Water Requirement andStrength. ACI Concrete International. 4(7). 33–40. 3 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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