Kanji Ueda

1.4k total citations
69 papers, 816 citations indexed

About

Kanji Ueda is a scholar working on Mechanical Engineering, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Kanji Ueda has authored 69 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Mechanical Engineering, 17 papers in Biomedical Engineering and 12 papers in Mechanics of Materials. Recurrent topics in Kanji Ueda's work include Advanced Surface Polishing Techniques (17 papers), Evolutionary Algorithms and Applications (9 papers) and Metal Forming Simulation Techniques (8 papers). Kanji Ueda is often cited by papers focused on Advanced Surface Polishing Techniques (17 papers), Evolutionary Algorithms and Applications (9 papers) and Metal Forming Simulation Techniques (8 papers). Kanji Ueda collaborates with scholars based in Japan, United Kingdom and United States. Kanji Ueda's co-authors include Jari Vaario, Kazuaki IWATA, Nobutada Fujii, Takeshi Takenaka, Itsuo Hatono, Kazuo Nakayama, Kazuhiro Ohkura, Tomomi Kito, Nariaki Nishino and Attila Lengyel and has published in prestigious journals such as Wear, CIRP Annals and Computers & Industrial Engineering.

In The Last Decade

Kanji Ueda

61 papers receiving 745 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kanji Ueda Japan 16 292 268 186 129 101 69 816
John K. L. Ho Hong Kong 17 335 1.1× 103 0.4× 83 0.4× 40 0.3× 93 0.9× 41 933
Paul Young Ireland 14 226 0.8× 160 0.6× 144 0.8× 70 0.5× 26 0.3× 59 810
M. Eugene Merchant United States 13 322 1.1× 412 1.5× 66 0.4× 299 2.3× 17 0.2× 41 786
Zhiwen Liu China 15 187 0.6× 192 0.7× 18 0.1× 99 0.8× 72 0.7× 39 847
Fernando Castaño Spain 19 203 0.7× 475 1.8× 98 0.5× 46 0.4× 20 0.2× 48 990
Kjeld Nielsen Denmark 19 575 2.0× 392 1.5× 102 0.5× 238 1.8× 450 4.5× 79 1.1k
Rajat Roy India 17 312 1.1× 166 0.6× 20 0.1× 81 0.6× 91 0.9× 45 976
Wu Zhao China 13 201 0.7× 102 0.4× 27 0.1× 131 1.0× 37 0.4× 60 552
Hakki Eres United Kingdom 13 142 0.5× 84 0.3× 29 0.2× 207 1.6× 17 0.2× 43 682
Duck Young Kim South Korea 12 158 0.5× 116 0.4× 23 0.1× 68 0.5× 85 0.8× 43 613

Countries citing papers authored by Kanji Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Kanji Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanji Ueda

This figure shows the co-authorship network connecting the top 25 collaborators of Kanji Ueda. A scholar is included among the top collaborators of Kanji Ueda 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 Kanji Ueda. Kanji Ueda 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.
Car, Zlatan, et al.. (2008). NEW TRENDS IN INTELLIGENT MANUFACTURING. Engineering review. 28(2). 91–100. 2 indexed citations
2.
Nishino, Nariaki, et al.. (2006). Analysis of Purchase Decision Making: Network Externalities and Asymmetric Information.. 515–522. 1 indexed citations
3.
Suzuki, Shintaro, Takeshi Takenaka, & Kanji Ueda. (2006). Co-creative Composition Using Multiagent Learning: Toward the Emergence of Musical Structure.. 30(11). 479–486.
4.
Ohkura, Kazuhiro, et al.. (2004). Evolutionary dynamics of genetic algorithm in the fitness landscape including neutral Networks.. Transactions of the Institute of Systems Control and Information Engineers. 17(5). 187–195.
5.
Yamada, Kazuaki, Kazuhiro Ohkura, & Kanji Ueda. (2003). Cooperative Behavior Acquisition of Autonomous Arm Robots through Reinforcement Learning. Transactions of the Society of Instrument and Control Engineers. 39(3). 266–275. 4 indexed citations
6.
Chang, Ming, Kazuhiro Ohkura, & Kanji Ueda. (2002). A Cooperatively Coevolutionary Genetic Algorithm to the Dynamic Facility Layout Problems. Transactions of the Institute of Systems Control and Information Engineers. 15(4). 167–174. 1 indexed citations
7.
Ueda, Kanji, et al.. (2000). Finite Element Analysis of 3-Dimensional Cutting Processes with Groove Tools.. Journal of the Japan Society for Precision Engineering. 66(9). 1451–1455. 1 indexed citations
8.
Ueda, Kanji, et al.. (2000). 3-Dimensional Simulation of Cutting Process by Dynamic-Explicit Elastic-Plastic FEM. Development of Simulation Method and Application to Turning Process.. Journal of the Japan Society for Precision Engineering. 66(3). 429–433. 3 indexed citations
9.
Ohkura, Kazuhiro & Kanji Ueda. (1996). A Genetic Algorithm with Neutral Mutations for Deceptive Function Optimization. Transactions of the Society of Instrument and Control Engineers. 32(10). 1461–1469. 2 indexed citations
10.
Ueda, Kanji, et al.. (1996). Rigid-Plastic FEM Analysis of Three-Dimensional Cutting Mechanism (2nd Report). Journal of the Japan Society for Precision Engineering. 62(4). 526–530. 2 indexed citations
11.
Ueda, Kanji, et al.. (1996). Implicit-type Elastic-Plastic FEM Analysis of Cutting Mechanism. Radial Return Formulation and Chip Curling Simulation.. Journal of the Japan Society for Precision Engineering. 62(8). 1151–1155. 1 indexed citations
12.
Ohkura, Kazuhiro & Kanji Ueda. (1995). A Genetic Algorithm for Nonstationary Function Optimization Problems. Transactions of the Institute of Systems Control and Information Engineers. 8(6). 269–276. 4 indexed citations
13.
Ueda, Kanji, et al.. (1993). Rigid-Plastic FEM Analysis of Three-Dimensional Cutting Mechanism. Chip Formation Mechanism in Oblique Cutting.. Journal of the Japan Society for Precision Engineering. 59(10). 1701–1706. 1 indexed citations
14.
Ito, Masato, et al.. (1990). Fracture mechanics analysis of thermal shock cracking of ceramics in laser heating.. Journal of the Japan Society for Precision Engineering. 56(8). 1487–1492. 2 indexed citations
15.
Ueda, Kanji, et al.. (1987). Microcutting of amorphous metals - Chip formation mechanism of rapidly quenched Fe-base alloys.. Journal of the Japan Society for Precision Engineering. 53(11). 1785–1790. 4 indexed citations
16.
Ueda, Kanji, et al.. (1987). Study on strength reliability evaluation of ceramics - Fatigue crack growth of partially stabilized Zirconia.. Journal of the Japan Society for Precision Engineering. 53(7). 1039–1044. 1 indexed citations
17.
Ueda, Kanji, et al.. (1985). Fracture mechanics study on microcutting of ceramics. Mechanism of material removal process with residual crack.. Journal of the Japan Society of Precision Engineering. 51(10). 1940–1945. 2 indexed citations
18.
IWATA, Kazuaki, et al.. (1982). . Journal of the Japan Society of Precision Engineering. 48(4). 510–515. 14 indexed citations
19.
IWATA, Kazuaki, et al.. (1977). Study on Micro-machining Mechanics Based on Direct SEM Observation (1st Report). Journal of the Japan Society of Precision Engineering. 43(507). 311–317. 1 indexed citations
20.
IWATA, Kazuaki & Kanji Ueda. (1977). Study on Micro-machining Mechanics Based on Direct SEM Observation (2nd Report). Journal of the Japan Society of Precision Engineering. 43(512). 932–937. 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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