Tetsuya Wada

553 citations
29 papers · 433 indexed · h-index 6

Impact in

Papers in

Tetsuya Wada

28 papers receiving 418 citations

Peers

Tetsuya Wada
Comparison fields: 5 of 67
  • Mechanics of Materials 191
  • Mechanical Engineering 180
  • Materials Chemistry 210
  • Ceramics and Composites 20
  • Structural Biology 3
Replace Chunxu Wang with:
Chunxu Wang China
Ruihua Zhu China
Wilfredo Morales United States
Weiwei Jin China
Ho-Young Lee South Korea
Yu Liao China
K. Szymański Poland
Tie Jun Wang China
F. Kosior France
Tetsuya Wada relative to Chunxu Wang China Chunxu Wang's profile →
Citations per field
00.5×1.5×2.2×
Chunxu Wang · 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
#Work
1 20250
2 20231
3 20232
4 20234
5 20221
6 20163
7 20163
8 20152
9 20142
10
Interval GA for evolving neural networks with interval weights and biases
20128
11
Evolving Robocup Soccer Player formations by particle swarm optimization
20112
12 20111
13 20104
14 20065
15 20062
16 20002
17 20002
18 19995
19 19981
20 199711

About Tetsuya Wada

Tetsuya Wada is a scholar working on Structural Biology, Radiation, Condensed Matter Physics, Aerospace Engineering and Control and Systems Engineering, having authored 29 papers that have together received 433 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Robotics and Automated Systems (5 papers), Advanced X-ray Imaging Techniques (3 papers), Evolutionary Algorithms and Applications (3 papers), X-ray Spectroscopy and Fluorescence Analysis (3 papers), Diamond and Carbon-based Materials Research (2 papers), Boron and Carbon Nanomaterials Research (2 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Mechanics of Materials (191 citations), Mechanical Engineering (180 citations), Materials Chemistry (210 citations), Ceramics and Composites (20 citations) and Structural Biology (3 citations). Tetsuya Wada has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Toshiaki WAKABAYASHI, Yoshitsugu Kimura, Hiroshi Nishikawa, Kazumi Okada, Kazuyuki Kuroda, Makoto Ogawa, Hidehiko Okada, Masafumi Horio, Zhidong Wang and Iwao Matsuda. Their work appears in journals such as Journal of Vacuum Science & Technology A Vacuum Surfaces and Films, Computers & Chemical Engineering, Applied Physics Letters, Wear and Physical Review Materials.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026