Tetsuya Wada

29 papers receiving 430 citations

Peers

Tetsuya Wada
Comparison fields: 5 of 67
  • Mechanics of Materials 191
  • Mechanical Engineering 181
  • Materials Chemistry 212
  • Ceramics and Composites 20
  • Structural Biology 3
Replace В. В. Шпейзман with:
В. В. Шпейзман Russia
Chunxu Wang China
Ruihua Zhu China
Wilfredo Morales United States
Ho-Young Lee South Korea
Yu Liao China
Weiwei Jin China
A. R. Clough United Kingdom
Tie Jun Wang China
Qi-lin Xiong China
Tetsuya Wada relative to В. В. Шпейзман Russia В. В. Шпейзман's profile →
Citations per field
00.5×5.5×
В. В. Шпейзман · 1×
Citations per year

Countries citing papers authored by Tetsuya Wada

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tetsuya Wada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tetsuya Wada Line = papers co-authored together Tetsuya Wada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999273
2 199556
3 202329
4 199711
5
Interval GA for evolving neural networks with interval weights and biases
20128
6 20227
7 20065
8 19995
9 20125
10 20104
11 20234
12 20163
13 19763
14 20233
15 20253
16 20113
17 20163
18 19963
19 20062
20 20002

About Tetsuya Wada

Tetsuya Wada is a scholar working on Aerospace Engineering, Materials Chemistry, Control and Systems Engineering, Computer Vision and Pattern Recognition and Condensed Matter Physics, having authored 31 papers that have together received 445 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Robotics and Automated Systems (5 papers), Evolutionary Algorithms and Applications (3 papers), X-ray Spectroscopy and Fluorescence Analysis (3 papers), Advanced X-ray Imaging Techniques (3 papers), Metal and Thin Film Mechanics (2 papers), High-Temperature Coating Behaviors (2 papers) and Crystallography and Radiation Phenomena (2 papers). The work is most often cited by research in Mechanics of Materials (191 citations), Mechanical Engineering (181 citations), Materials Chemistry (212 citations), Ceramics and Composites (20 citations) and Structural Biology (3 citations). Tetsuya Wada has collaborated with scholars based in Japan, United States and Hungary. Frequent co-authors include Hiroshi Nishikawa, Toshiaki WAKABAYASHI, Kazumi Okada, Yoshitsugu Kimura, Makoto Ogawa, Kazuyuki Kuroda, Iwao Matsuda, Masafumi Horio, Zhidong Wang and Hidehiko Okada. Their work appears in journals such as Journal of Vacuum Science & Technology A Vacuum Surfaces and Films, Computers & Chemical Engineering, Applied Physics Express, Applied Physics Letters and MATERIALS TRANSACTIONS.

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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