Kota Ando

822 total citations
47 papers, 585 citations indexed

About

Kota Ando is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kota Ando has authored 47 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 26 papers in Electrical and Electronic Engineering and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kota Ando's work include Advanced Memory and Neural Computing (19 papers), Advanced Neural Network Applications (17 papers) and Machine Learning and ELM (10 papers). Kota Ando is often cited by papers focused on Advanced Memory and Neural Computing (19 papers), Advanced Neural Network Applications (17 papers) and Machine Learning and ELM (10 papers). Kota Ando collaborates with scholars based in Japan, Switzerland and United States. Kota Ando's co-authors include Masato Motomura, Shinya Takamaeda-Yamazaki, Kodai Ueyoshi, Tadahiro Kuroda, Tetsuya Asai, Masayuki Ikebe, Shimpei Sato, Hiroki Nakahara, Haruyoshi Yonekawa and Mototsugu Hamada and has published in prestigious journals such as Advanced Functional Materials, IEEE Access and IEEE Journal of Solid-State Circuits.

In The Last Decade

Kota Ando

36 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kota Ando Japan 10 400 231 169 81 68 47 585
Shinya Takamaeda-Yamazaki Japan 10 377 0.9× 236 1.0× 191 1.1× 94 1.2× 97 1.4× 48 584
Hyunjoon Kim Singapore 15 407 1.0× 221 1.0× 134 0.8× 115 1.4× 90 1.3× 23 595
Yinqi Tang United States 9 614 1.5× 195 0.8× 112 0.7× 118 1.5× 71 1.0× 12 732
Shimpei Sato Japan 12 371 0.9× 147 0.6× 310 1.8× 94 1.2× 74 1.1× 52 588
Hongyang Jia China 11 668 1.7× 218 0.9× 99 0.6× 157 1.9× 91 1.3× 36 826
Geethan Karunaratne Switzerland 12 499 1.2× 289 1.3× 131 0.8× 48 0.6× 62 0.9× 24 699
Aayush Ankit United States 16 839 2.1× 349 1.5× 203 1.2× 109 1.3× 78 1.1× 32 1.1k
Hossein Valavi United States 7 892 2.2× 216 0.9× 147 0.9× 161 2.0× 75 1.1× 10 992
V. Sreekanth Annapureddy United States 8 578 1.4× 208 0.9× 266 1.6× 37 0.5× 321 4.7× 14 808
En-Yu Yang United States 8 494 1.2× 151 0.7× 131 0.8× 91 1.1× 58 0.9× 15 620

Countries citing papers authored by Kota Ando

Since Specialization
Citations

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

Fields of papers citing papers by Kota Ando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kota Ando

This figure shows the co-authorship network connecting the top 25 collaborators of Kota Ando. A scholar is included among the top collaborators of Kota Ando 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 Kota Ando. Kota Ando 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.
Marukame, Takao, et al.. (2025). Split weight distribution learning for binary neural networks exploiting nano-memristive graphene/sumanene/graphene devices. Japanese Journal of Applied Physics. 64(4). 04SP05–04SP05. 1 indexed citations
2.
Ando, Kota, et al.. (2024). Acquisition of physical kinetics of permanent magnet dc motor by reservoir computing. Nonlinear Theory and Its Applications IEICE. 15(4). 899–909.
3.
Marukame, Takao, et al.. (2024). Common Bases Hypothesis: exploring multi-task collaborative learning of neural networks. Nonlinear Theory and Its Applications IEICE. 16(1). 79–95.
4.
Takahashi, Ryo, Kota Ando, & Hiroki Nakahara. (2024). A Stacked FPGA utilizing 3D-SRAM with Latency Optimization. 400–406.
5.
Ando, Kota, et al.. (2024). Stochastic memory device based on a bistable system model with a simple analog circuit. Nonlinear Theory and Its Applications IEICE. 15(2). 249–261. 1 indexed citations
6.
7.
Ando, Kota, et al.. (2023). Design and evaluation of brain-inspired predictive coding networks based on the free-energy principle for novel neuromorphic hardware. Nonlinear Theory and Its Applications IEICE. 15(1). 107–118.
8.
Yu, Jaehoon, et al.. (2023). Pianissimo: A Sub-mW Class DNN Accelerator With Progressively Adjustable Bit-Precision. IEEE Access. 12. 2057–2073. 1 indexed citations
9.
Asai, Tetsuya, et al.. (2023). Fabrication and Training of 3D Conductive Polymer Networks for Neuromorphic Wetware. Advanced Functional Materials. 33(42). 8 indexed citations
10.
Ando, Kota, et al.. (2023). A Fully-Parallel Annealing Algorithm with Autonomous Pinning Effect Control for Various Combinatorial Optimization Problems. IEICE Transactions on Information and Systems. E106.D(12). 1969–1978. 1 indexed citations
11.
12.
Kawamura, Kazushi, Kota Ando, Takashi Takemoto, et al.. (2020). STATICA: A 512-Spin 0.25M-Weight Annealing Processor With an All-Spin-Updates-at-Once Architecture for Combinatorial Optimization With Complete Spin–Spin Interactions. IEEE Journal of Solid-State Circuits. 56(1). 165–178. 73 indexed citations
13.
Shiba, K., Kodai Ueyoshi, Kota Ando, et al.. (2020). A 3D-Stacked SRAM using Inductive Coupling with Low-Voltage Transmitter and 12:1 SerDes. 1–5. 3 indexed citations
14.
15.
Yonekawa, Haruyoshi, Shimpei Sato, Hiroki Nakahara, et al.. (2017). In-memory area-efficient signal streaming processor design for binary neural networks. 345. 116–119. 6 indexed citations
16.
Ando, Kota, Kodai Ueyoshi, Haruyoshi Yonekawa, et al.. (2017). BRein Memory: A Single-Chip Binary/Ternary Reconfigurable in-Memory Deep Neural Network Accelerator Achieving 1.4 TOPS at 0.6 W. IEEE Journal of Solid-State Circuits. 53(4). 983–994. 115 indexed citations
17.
18.
Fujimura, Y., et al.. (2000). Synonym hit RAM - a 500-MHz CMOS SRAM macro with 576-bit parallel comparison and parity check functions. IEEE Journal of Solid-State Circuits. 35(2). 163–174. 1 indexed citations
19.
20.
Ando, Kota, et al.. (1985). 18.2 A Flicker-Free 2448×2048 Dot Color CRT Display(Display Systems, Large Screen Displays, Measurement Techniques (Session 5,14,16,18)(Report of 1985 SID International Symposium)). 9(10). 13. 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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