Y. Maeda

870 citations
79 papers · 657 indexed · h-index 15

Y. Maeda

73 papers receiving 630 citations

Peers

Y. Maeda
Comparison fields: 5 of 118
  • Computer Graphics and Computer-Aided Design 51
  • Immunology and Allergy 58
  • Computer Vision and Pattern Recognition 152
  • Human-Computer Interaction 35
  • Reproductive Medicine 39
Replace Hao Su with:
Hao Su China
Longsheng Wei China
Teng Li China
Jiaxin Cheng China
Jee‐In Kim South Korea
J Buckingham United States
Deyuan Liu China
Zhuming Ai United States
A.M. Vossepoel Netherlands
Hua Zhong China
Y. Maeda relative to Hao Su China Hao Su's profile →
Citations per field
00.5×10×15×19.3×
Hao Su · 1×
Citations per year

Countries citing papers authored by Y. Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Y. Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Y. Maeda, 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 Y. Maeda Line = papers co-authored together Y. Maeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20243
4 20241
5 20235
6 20235
7 20233
8 20232
9 20239
10 20220
11 20227
12 202118
13 201814
14 201821
15
Influence of network delay on pen strokes in bilateral remote robot control with haptic sence
20152
16
Influence of Network Delay on Work Efficiency in Remote Robot Control with Force Feedback
20151
17
Influence of Network Delay on Fairness between Players in Networked Game with Olfactory and Haptic Senses
20156
18
A-16-2 Influence of Local Lag on Interactivity in Networked Haptic Drum Performance
20131
19 201114
20 20093

About Y. Maeda

Y. Maeda is a scholar working on Immunology and Allergy, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 79 papers that have together received 657 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (15 papers), Image Enhancement Techniques (12 papers), Vitamin D Research Studies (5 papers), Advanced Image Processing Techniques (5 papers), Allergic Rhinitis and Sensitization (4 papers), Teleoperation and Haptic Systems (4 papers), Advanced Vision and Imaging (4 papers) and Advanced Image Fusion Techniques (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (51 citations), Immunology and Allergy (58 citations) and Computer Vision and Pattern Recognition (152 citations). Y. Maeda has collaborated with scholars based in Japan, United States and Cameroon. Frequent co-authors include Norishige Fukushima, Mikio Namiki, Akiko Shiratsuchi, Yoshinobu Nakanishi, Hiroshi Matsuo, Takashi Nakaya, Issei Fujishiro, Hiroki Sato, Yasuhiro Takeshima and Kohki Akiyama. Their work appears in journals such as IEEE Access, IEEE Communications Magazine, Allergy, Journal of Allergy and Clinical Immunology and Japanese Journal of Clinical Oncology.

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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