Maebashi Institute of Technology
In research, Maebashi Institute of Technology stands highest in Physical Sciences (#11,980 of 12,888 worldwide), 2022–2025.
- World rank, 2022–2025
- #22,969 of 28,054 · #21,943 all time
- Rank in Japan
- #735 of 1,070
- Research works
- 941 ▼ 10% vs 2013–17
- Citations
- 7.3k 7.8 per fractional work
- Top-10% rate
- 4.2% record average 16.5%
- Open access
- 43% world 28%
What is Maebashi Institute of Technology known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #11,980 of 12,888 | 3.3% | 81 | #14746 |
Each strip is that field’s whole ranked pool, with the notch where Maebashi Institute of Technology sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).
Field profile
Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.
Rings at 0.5×, 1× and 2×. Widest outward: Neuroscience, 4.3×. Every wedge is a field page.
- Neuroscience 4.3×
- Mathematics 3.7×
- Biochemistry, Genetics and Molecular Biology 2.2×
- Computer Science 1.8×
- Engineering 1.7×
- Energy 1.2×
- Chemical Engineering 1.1×
- Physics and Astronomy 1.0×
- Health Professions 1.0×
- Immunology and Microbiology 1.0×
- Agricultural and Biological Sciences 0.9×
- Psychology 0.9×
- Chemistry 0.9×
- Veterinary 0.8×
- Medicine 0.5×
- Environmental Science 0.5×
- Business, Management and Accounting 0.4×
- Economics, Econometrics and Finance 0.4×
- Social Sciences 0.4×
- Materials Science 0.4×
- Nursing 0.2×
- Decision Sciences 0.2×
- Earth and Planetary Sciences 0.2×
- Arts and Humanities 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
Who are the top researchers at Maebashi Institute of Technology?
Ranked on the composite score, Chi Zhu, Ning Zhong and Na Zhong lead among researchers whose main affiliation is Maebashi Institute of Technology.
- 1 Chi Zhu Japan · #466,642 worldwide 100 citations · 39 works
- 2 Ning Zhong Japan · #482,478 worldwide 502 citations · 180 works
- 3 Na Zhong Japan · #487,481 worldwide 103 citations · 24 works
- 4 Akira Yuzawa Japan · #1,005,378 worldwide 6 citations · 24 works
- 5 Kazuharu Sugawara Japan · #1,196,749 worldwide 43 citations · 20 works
- 6 Kazuyuki Imamura Japan · #1,341,764 worldwide 33 citations · 28 works
- 7 Masatoshi Ito Japan · #1,440,381 worldwide 12 citations · 21 works
- 8 Satoshi Fukuchi Japan · #1,453,399 worldwide 6 citations · 27 works
- 9 Minoru Komatsu Japan · #1,580,864 worldwide 5 citations · 20 works
Which keywords describe research at Maebashi Institute of Technology?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Hyperspectral Imaging, Sparse Representation, Vibration Control, Pest Management, Metabolic Regulation and Human-Computer Interaction.
- Yeast
- Beamforming
- Sound Quality
- Biogenic Amines
- Fungal Pathogens
- Wave Propagation
- Hand Gesture
- Fault Diagnosis
- Drosophila
- Speech Perception
- Olfactory System
- Wavelet Transform
- Blind Separation
- Near-Infrared Spectroscopy
- Chemical Ecology
- Human-Computer Interaction
- Metabolic Regulation
- Vibration Control
- Hyperspectral Imaging
- Neural Networks
- Deep Learning
- Machine Learning
- Sparse Representation
- Pest Management
- Social Capital
- Pheromones
- Odor Source Localization
- Virtual Reality
- Independent Component Analysis
- Insulin Signaling
- Sign Language
- Brain-Computer Interfaces
- EEG Analysis
- Gesture Recognition
- Monte Carlo Simulation
- Autonomous Vehicles
- Acoustic Metamaterials
- Phononic Crystals
- Transfer Path Analysis
- Wearable Sensors
Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 40 words, with their numbers
- Deep Learning14▲ 2.6×31 topics
- Neural Networks8▲ 3.4×14 topics
- Machine Learning5◆ 1.06×15 topics
- Hyperspectral Imaging5▲ 11×4 topics
- Sparse Representation4▲ 14×4 topics
- Vibration Control4▲ 41×2 topics
- Pest Management4▲ 27×2 topics
- Metabolic Regulation3▲ 13×4 topics
- Social Capital3▲ 4.0×3 topics
- Human-Computer Interaction3▲ 12×2 topics
- Pheromones3▲ 40×2 topics
- Chemical Ecology3▲ 252×1 topic
- Odor Source Localization3▲ 252×1 topic
- Near-Infrared Spectroscopy3▲ 21×2 topics
- Virtual Reality3▲ 3.7×2 topics
- Blind Separation3▲ 84×1 topic
- Independent Component Analysis3▲ 84×1 topic
- Wavelet Transform3▲ 7.5×3 topics
- Insulin Signaling2▲ 19×2 topics
- Olfactory System2▲ 23×2 topics
- Sign Language2▲ 23×2 topics
- Speech Perception2▲ 17×3 topics
- Brain-Computer Interfaces2▲ 14×1 topic
- Drosophila2▲ 33×1 topic
- EEG Analysis2▲ 14×1 topic
- Fault Diagnosis2▲ 9.4×3 topics
- Gesture Recognition2▲ 18×1 topic
- Hand Gesture2▲ 39×1 topic
- Monte Carlo Simulation2▲ 6.7×2 topics
- Wave Propagation2▲ 12×2 topics
- Autonomous Vehicles2▲ 6.3×3 topics
- Fungal Pathogens2▲ 9.9×3 topics
- Acoustic Metamaterials2▲ 35×1 topic
- Biogenic Amines2▲ 29×2 topics
- Phononic Crystals2▲ 35×1 topic
- Sound Quality2▲ 96×1 topic
- Transfer Path Analysis2▲ 96×1 topic
- Beamforming2▲ 11×2 topics
- Wearable Sensors2▲ 10×2 topics
- Yeast2▲ 59×2 topics
Which research topics does Maebashi Institute of Technology publish most on?
By volume in 2022–2025: Insect Pheromone Research and Control, Blind Source Separation Techniques, Neurobiology and Insect Physiology Research and EEG and Brain-Computer Interfaces.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Insect Pheromone Research and Control Insect Science 3 works
- 2 Blind Source Separation Techniques Signal Processing 3 works
- 3 Neurobiology and Insect Physiology Research Cellular and Molecular Neuroscience 2 works
- 4 EEG and Brain-Computer Interfaces Cognitive Neuroscience 2 works
- 5 Hand Gesture Recognition Systems Human-Computer Interaction 2 works
- 6 Acoustic Wave Phenomena Research Biomedical Engineering 2 works
- 7 Vehicle Noise and Vibration Control Automotive Engineering 2 works
- 8 Noise Effects and Management Speech and Hearing 2 works
- 9 Robotics and Automated Systems Control and Systems Engineering 2 works
- 10 Non-Invasive Vital Sign Monitoring Biomedical Engineering 2 works
How open and international is its research?
Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 28% of research is openly available.
World: 19% is written across borders.
How has Maebashi Institute of Technology's research output changed?
Output in 2018–2022 was 10% lower than in 2013–2017.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Other research institutions in Maebashi
- Gunma University
- Gunma University Hospital
- National Institute of Technology, Gunma College
- Maebashi Red Cross Hospital
- Gunma Prefectural Cardiovascular Center
- Gunma Chuo Hospital
- Gunma Prefectural Institute of Public Health and Environmental Sciences
- Gunma Prefectural College of Health Sciences
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.