World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 83 429 415 201 191 551 26130
Materials Science 77 3116 3009 871 818 510 22129

Yu-Chong Tai publications per year

The chart shows the history of publications by Yu-Chong Tai between 1987 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yu-Chong Tai published across 39 years, from 1987 to 2025, averaging 17 papers a year. Output peaked at 41 publications in 2006. 5 of the 662 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1987 to 2025. Vertical axis: number of publications, 0 to 41. Peak 41 publications in 2006. 1987: 2 publications 1988: 6 publications 1989: 4 publications 1990: 3 publications 1991: 1 publication 1992: 1 publication 1993: 2 publications 1994: 6 publications 1995: 15 publications 1996: 17 publications 1997: 23 publications 1998: 19 publications 1999: 25 publications 2000: 24 publications 2001: 14 publications 2002: 14 publications 2003: 28 publications 2004: 35 publications 2005: 38 publications 2006: 41 publications 2007: 29 publications 2008: 36 publications 2009: 18 publications 2010: 23 publications 2011: 27 publications 2012: 33 publications 2013: 25 publications 2014: 14 publications 2015: 30 publications 2016: 24 publications 2017: 14 publications 2018: 12 publications 2019: 11 publications 2020: 10 publications 2021: 14 publications 2022: 3 publications 2023: 16 publications 2024: 3 publications 2025: 2 publications
1987 2025

662 publications in total across all disciplines

View publications per year as a table
Yu-Chong Tai: publications per year, 1987 to 2025
Year Publications
1987 2
1988 6
1989 4
1990 3
1991 1
1992 1
1993 2
1994 6
1995 15
1996 17
1997 23
1998 19
1999 25
2000 24
2001 14
2002 14
2003 28
2004 35
2005 38
2006 41
2007 29
2008 36
2009 18
2010 23
2011 27
2012 33
2013 25
2014 14
2015 30
2016 24
2017 14
2018 12
2019 11
2020 10
2021 14
2022 3
2023 16
2024 3
2025 2
Total 662
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Yu-Chong Tai publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Yu-Chong Tai sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 534–553 publications, is where this scientist sits. 34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34–53 publications 1,065+

This scientist: 551 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92 551
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
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Yu-Chong Tai D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Yu-Chong Tai sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 83 D-Index, is where this scientist sits. 30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 83 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23 83
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
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Research.com Recognitions

  • 2019 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2016 - Fellow, National Academy of Inventors
  • 2006 - IEEE Fellow For contributions to integrated nano/micro-electro-mechanical systems (MEMS) and nano/micro-fluidics for Lab-on-a-Chip applications.

Overview

Yu-Chong Tai is affiliated with the California Institute of Technology in the United States and has made contributions primarily in the fields of Engineering and Medicine. Their research spans several subfields including Biomedical Engineering, Electrical and Electronic Engineering, Neurology, Radiology, Nuclear Medicine and Imaging, and Materials Chemistry.

Their work covers multiple scientific and technical topics such as Electrical and Bioimpedance Tomography, Acute Ischemic Stroke Management, Photoacoustic and Ultrasonic Imaging, Graphene research and applications, Graphene and Nanomaterials Applications, Pancreatic function and diabetes, and Diabetes Management and Research.

Among the recent papers authored or co-authored by Yu-Chong Tai are:

  • First Human Results With the 256 Channel Intelligent Micro Implant Eye (IMIE 256), 2021, Translational Vision Science & Technology
  • A systematic review of next-generation point-of-care stroke diagnostic technologies, 2021, Neurosurgical FOCUS
  • A subcutaneous pancreatic islet transplantation platform using a clinically applicable, biodegradable Vicryl mesh scaffold - an experimental study, 2020, Transplant International
  • A wearable eddy current based pulmonary function sensor for continuous non-contact point-of-care monitoring during the COVID-19 pandemic, 2021, Scientific Reports
  • Machine learning-directed electrical impedance tomography to predict metabolically vulnerable plaques, 2023, Bioengineering & Translational Medicine

Yu-Chong Tai has frequently published in venues including Scientific Reports, Neurosurgical FOCUS, American Journal of Physiology-Cell Physiology, Stroke, and bioRxiv (Cold Spring Harbor Laboratory).

Their frequent co-authors include:

  • Shane Shahrestani
  • Kuang-Ming Shang
  • Gabriel Zada
  • Tzung K. Hsiai
  • Nerses Sanossian

Yu-Chong Tai has been recognized with several awards, including being named a Fellow of the Indian National Academy of Engineering (INAE) in 2019, a Fellow of the National Academy of Inventors in 2016, and an IEEE Fellow in 2006. The IEEE Fellowship was awarded for contributions to integrated nano/micro-electro-mechanical systems (MEMS) and nano/micro-fluidics relevant to Lab-on-a-Chip applications.

Best Publications

  • MICRO-ELECTRO-MECHANICAL-SYSTEMS (MEMS) AND FLUID FLOWS

    Chih-Ming Ho;Yu-Chong Tai

  • Membrane microfilter device for selective capture, electrolysis and genomic analysis of human circulating tumor cells

    Siyang Zheng;Henry Lin;Jing Quan Liu;Jing Quan Liu;Marija Balic

  • Unsteady aerodynamics and flow control for flapping wing flyers

    Steven Ho;Hany Nassef;Nick Pornsinsirirak;Yu-Chong Tai

  • Portable Filter-Based Microdevice for Detection and Characterization of Circulating Tumor Cells

    Henry K. Lin;Siyang Zheng;Anthony J. Williams;Marija Balic

  • 3D microfilter device for viable circulating tumor cell (CTC) enrichment from blood

    Siyang Zheng;Henry K. Lin;Bo Lu;Anthony Williams

  • IC-processed electrostatic micromotors

    Long-Shen Fan;Yu-Chong Tai;Richard S. Muller

  • Integrated movable micromechanical structures for sensors and actuators

    L.-S. Fan;Y.-C. Tai;R.S. Muller

  • The neurochip: a new multielectrode device for stimulating and recording from cultured neurons.

    Michael P. Maher;Jerome Pine;John Wright;Yu-Chong Tai

  • Flexible parylene-based multielectrode array technology for high-density neural stimulation and recording

    Damien C. Rodger;Damien C. Rodger;Andy J. Fong;Wen Li;Hossein Ameri

  • A Micromachined Chip-Based Electrospray Source for Mass Spectrometry

    Larry Licklider;Xuan-Qi Wang;Amish Desai;Yu-Chong Tai

  • REVIEW: MEMS and Its Applications for Flow Control

    Chih-Ming Ho;Yu-Chong Tai

  • Wireless Intraocular Pressure Sensing Using Microfabricated Minimally Invasive Flexible-Coiled LC Sensor Implant

    Po-Jui Chen;Saloomeh Saati;Rohit Varma;Mark S Humayun

  • Parylene-based electret power generators

    Hsi-wen Lo;Yu-Chong Tai

  • Microfabricated Implantable Parylene-Based Wireless Passive Intraocular Pressure Sensors

    Po-Jui Chen;D.C. Rodger;S. Saati;M.S. Humayun

  • A micro cell lysis device

    Sang-Wook Lee;Yu-Chong Tai

  • MEMS flow sensors for nano-fluidic applications

    S. Wu;Q. Lin;Y. Yuen;Y.C. Tai

  • Titanium-alloy MEMS wing technology for a micro aerial vehicle application

    T.Nick Pornsin-sirirak;Y.C. Tai;H. Nassef;C.M. Ho

  • A micromachined flow shear-stress sensor based on thermal transfer principles

    Chang Liu;Jin-Biao Huang;Jin-Biao Huang;Jin-Biao Huang;Zhenjun Zhu;Fukang Jiang

  • An electrochemical intraocular drug delivery device

    Po-Ying Li;Jason Shih;Ronalee Lo;Saloomeh Saati

  • A MEMS thermopneumatic silicone rubber membrane valve

    Xing Yang;Charles Grosjean;Yu-Chong Tai;Chih-Ming Ho

  • IC-processed electrostatic micro-motors

    Long-Sheng Fan;Yu-Chong Tai;R.S. Muller

Frequent Co-Authors

Mark S. Humayun
Mark S. Humayun University of Southern California
Chih-Ming Ho
Chih-Ming Ho University of California, Los Angeles
Ellis Meng
Ellis Meng University of Southern California
Richard J. Cote
Richard J. Cote Washington University in St. Louis
James D. Weiland
James D. Weiland University of Michigan–Ann Arbor
Joel W. Burdick
Joel W. Burdick California Institute of Technology
Richard S. Muller
Richard S. Muller University of California, Berkeley
Chang Liu
Chang Liu University of Chinese Academy of Sciences
Qiao Lin
Qiao Lin Columbia University
Gwo-Bin Lee
Gwo-Bin Lee National Tsing Hua University

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