Keiji Yamada

2.6k citations
178 papers · 1.9k indexed · h-index 20
Topics
Advanced machining processes and optimization (54 papers)Advanced Surface Polishing Techniques (49 papers)Advanced Machining and Optimization Techniques (26 papers)
Journals
SHILAP Revista de lepidopterologíaApplied Physics LettersScientific Reports

In The Last Decade

Keiji Yamada

162 papers receiving 1.7k citations

Peers

Keiji Yamada
Comparison fields: 5 of 144
  • Mechanical Engineering 683
  • Electrical and Electronic Engineering 448
  • Biomedical Engineering 415
  • Materials Chemistry 361
  • Artificial Intelligence 322
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Pei Zhang China
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Keiji Yamada relative to Tian-Bing Xu United States Tian-Bing Xu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Keiji Yamada

Since Specialization
Citations

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

Fields of papers citing papers by Keiji Yamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiji Yamada

This figure shows the co-authorship network connecting the top 25 collaborators of Keiji Yamada. A scholar is included among the top collaborators of Keiji Yamada 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 Keiji Yamada. Keiji Yamada 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
#WorkIndexed citations
1 1
2 5
3 0
4 2
5 1
6
A Discussion Support System Using Visualization of Utterance Intentions for Group Decision Making
1
7 6
8 3
9 4
10
Visualization for Statistical Term Network in Newspaper
1
11 1
12 1
13
A model of scan paths applied to face recognition
14
14 2
15 1
16 11
17 3
18 5
19
Development of Sustained-Release Formulation of Chlorpheniramine Maleate Using Powder-Coated Microsponge Prepared by Dry Impact Blending Method
15
20
Generalized Learning Vector Quantization
301

About Keiji Yamada

Keiji Yamada is a scholar working on Computational Mathematics, Mechanical Engineering and Statistical and Nonlinear Physics, having authored 178 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced machining processes and optimization (54 papers), Advanced Surface Polishing Techniques (49 papers) and Advanced Machining and Optimization Techniques (26 papers). The work is most often cited by research in Computational Mathematics (18 citations), Mechanical Engineering (683 citations) and Computer Vision and Pattern Recognition (301 citations). Keiji Yamada has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Atsushi Sato, Takashi UEDA, Akira Hosokawa, Ryutaro Tanaka, Katsuhiko Sekiya, Yasuo Yamane, Kazuo Nakayama, Hiroyasu Nishiguchi, Makoto Ando and Yusaku Takita. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Scientific Reports.

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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