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Matthew Ming Fai Yuen publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Matthew Ming Fai Yuen sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

The last bar groups every scientist with 659 publications or more.

Matthew Ming Fai Yuen D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Matthew Ming Fai Yuen sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

The last bar groups every scientist with 93 D-Index or more.

Overview

Matthew Ming Fai Yuen is affiliated with the Hong Kong University of Science and Technology in China. Their research is primarily focused on the field of Medicine, with significant contributions within the subfields of Neurology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Cellular and Molecular Neuroscience, and Pulmonary and Respiratory Medicine.

The scientist's work covers several main topics, including:

  • Traumatic Brain Injury and Neurovascular Disturbances
  • Acute Ischemic Stroke Management
  • Advanced MRI Techniques and Applications
  • Cerebrospinal fluid and hydrocephalus
  • Intracerebral and Subarachnoid Hemorrhage Research
  • Cerebrovascular and Carotid Artery Diseases
  • MRI in cancer diagnosis

Among the more recent papers authored or co-authored by Matthew Ming Fai Yuen are:

  • "Assessment of Brain Injury Using Portable, Low-Field Magnetic Resonance Imaging at the Bedside of Critically Ill Patients" (2020), published in JAMA Neurology
  • "Portable, bedside, low-field magnetic resonance imaging for evaluation of intracerebral hemorrhage" (2021), published in Nature Communications
  • "Portable, low-field magnetic resonance imaging enables highly accessible and dynamic bedside evaluation of ischemic stroke" (2022), published in Science Advances
  • "Bedside detection of intracranial midline shift using portable magnetic resonance imaging" (2022), published in Scientific Reports
  • "Deep Learning Applications for Acute Stroke Management" (2022), published in Annals of Neurology

The scientist has collaborated frequently with several co-authors, including Mercy H. Mazurek, Gordon Sze, W. Taylor Kimberly, Bradley A. Cahn, and Matthew S. Rosen. Collaborations with these researchers have resulted in multiple publications.

Key publication venues for Matthew Ming Fai Yuen include:

  • Neurology
  • Stroke
  • bioRxiv (Cold Spring Harbor Laboratory)
  • JAMA Neurology
  • Nature Communications

Best Publications

  • Carbon nanotube (CNT)-based composites as electrode material for rechargeable Li-ion batteries: A review

    Xianming Liu;Zhendong Huang;SeiWoon Oh;Biao Zhang

  • Silver Nanowires: From Scalable Synthesis to Recyclable Foldable Electronics

    Cheng Yang;Hongwei Gu;Wei Lin;Matthew Ming Fai Yuen

  • A survey on CAD methods in 3D garment design

    Yong-Jin Liu;Dong-Liang Zhang;Matthew Ming-Fai Yuen

  • Luminogenic materials constructed from tetraphenylethene building blocks: Synthesis, aggregation-induced emission, two-photon absorption, light refraction, and explosive detection

    Rongrong Hu;Joseluis Maldonado;Mario Rodriguez;Chunmei Deng

  • Carbon nanotube thermal interface material for high-brightness light-emitting-diode cooling

    Kai Zhang;Yang Chai;Matthew Ming Fai Yuen;DavidGuowei Xiao

  • Surface flattening based on energy model

    Charlie C. L. Wang;Shana Shiang-Fong Smith;Matthew Ming-Fai Yuen

  • From laser-scanned data to feature human model: a system based on fuzzy logic concept

    Charlie Changling Wang;Terry Chang;Matthew Ming Fai Yuen

  • Design automation for customized apparel products

    Charlie C. L. Wang;Yu Wang;Matthew M. F. Yuen

  • Feature based 3D garment design through 2D sketches

    Charlie Changling Wang;Y. Wang;Matthew Ming Fai Yuen

  • Printed electrically conductive composites: conductive filler designs and surface engineering

    Cheng Yang;Ching Ping Wong;Ching Ping Wong;Matthew M. F. Yuen

  • Electrical properties of polymer composites prepared by sintering a mixture of carbon black and ultra-high molecular weight polyethylene powder

    Chi Ming Chan;Chi-Leung Cheng;Matthew Ming Fai Yuen

  • Electro-deposition of CoNi2S4 flower-like nanosheets on 3D hierarchically porous nickel skeletons with high electrochemical capacitive performance

    Tao Wang;Tao Wang;Bo Zhao;Hong Jiang;Haipeng Yang

  • Thermal chemical vapor deposition grown graphene heat spreader for thermal management of hot spots

    Zhaoli Gao;Zhaoli Gao;Yong Zhang;Yong Zhang;Yifeng Fu;Matthew Ming Fai Yuen

  • Exceptional thermal interface properties of a three-dimensional graphene foam

    Xinfeng Zhang;Kan Kan Kandy Yeung;Zhaoli Gao;Jinkai Li

  • Enabling room-temperature solid-state lithium-metal batteries with fluoroethylene carbonate-modified plastic crystal interlayers

    Ziheng Lu;Jing Yu;Junxiong Wu;Mohammed B. Effat

  • Silver Surface Iodination for Enhancing the Conductivity of Conductive Composites

    Cheng Yang;Yutao Xie;Matthew Ming Fai Yuen;Bing Xu

  • Feature-based reverse engineering of mannequin for garment design

    Chikit K. Au;Matthew Ming-Fai Yuen

  • Virtual human modeling from photographs for garment industry

    Charlie C. L. Wang;Yu Wang;Terry K. K. Chang;Matthew Ming-Fai Yuen

  • Apparatus having thermal-enhanced and cost-effective 3D IC integration structure with through silicon via interposers

    Hon Shing Lau;Shi-Wei Lee;Matthew Ming Fai Yuen;Jingshen Wu

  • Passive UHF RFID Packaging With Electromagnetic Band Gap (EBG) Material for Metallic Objects Tracking

    Bo Gao;Matthew M. F. Yuen

Frequent Co-Authors

Ching-Ping Wong
Ching-Ping Wong Georgia Institute of Technology
Xian-Zhu Fu
Xian-Zhu Fu Shenzhen University
Rong Sun
Rong Sun Shenzhen Institutes of Advanced Technology
Charlie C. L. Wang
Charlie C. L. Wang University of Manchester
Yong-Jin Liu
Yong-Jin Liu Tsinghua University
Bing Xu
Bing Xu Brandeis University
Jang Kyo Kim
Jang Kyo Kim University of New South Wales
Ben Zhong Tang
Ben Zhong Tang Chinese University of Hong Kong, Shenzhen
Edward K. L. Chan
Edward K. L. Chan University of Florida
Francesco Ciucci
Francesco Ciucci Hong Kong University of Science and Technology

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