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Mingxiong Huang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 48 6250 5757 2723 2457 138 7446

Mingxiong Huang publications per year

The chart shows the history of publications by Mingxiong Huang between 1996 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mingxiong Huang published across 30 years, from 1996 to 2025, averaging 5.4 papers a year. Output peaked at 10 publications in 1998. 12 of the 162 publications appeared in the last two years.

No. of publications
2 4 6 8 10
Bar chart. Horizontal axis: year, 1996 to 2025. Vertical axis: number of publications, 0 to 10. Peak 10 publications in 1998. 1996: 3 publications 1997: 3 publications 1998: 10 publications 1999: 1 publication 2000: 5 publications 2001: 2 publications 2002: 2 publications 2003: 9 publications 2004: 4 publications 2005: 6 publications 2006: 5 publications 2007: 6 publications 2008: 3 publications 2009: 5 publications 2010: 4 publications 2011: 5 publications 2012: 4 publications 2013: 5 publications 2014: 7 publications 2015: 9 publications 2016: 5 publications 2017: 5 publications 2018: 6 publications 2019: 8 publications 2020: 10 publications 2021: 5 publications 2022: 6 publications 2023: 7 publications 2024: 3 publications 2025: 9 publications
1996 2025

162 publications in total across all disciplines

View publications per year as a table
Mingxiong Huang: publications per year, 1996 to 2025
Year Publications
1996 3
1997 3
1998 10
1999 1
2000 5
2001 2
2002 2
2003 9
2004 4
2005 6
2006 5
2007 6
2008 3
2009 5
2010 4
2011 5
2012 4
2013 5
2014 7
2015 9
2016 5
2017 5
2018 6
2019 8
2020 10
2021 5
2022 6
2023 7
2024 3
2025 9
Total 162
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Mingxiong Huang publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Mingxiong Huang sits on this spectrum.

No. of scientists
100 200 300 400 500
Bar chart with 86 bars. Horizontal axis: publications, 38–47 to 887+. Vertical axis: number of scientists, 0 to 539. Most scientists, 539, have 98–107 publications. The last bar groups every scientist with 887 publications or more. The highlighted bar, 138–147 publications, is where this scientist sits. 38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientist 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38–47 publications 887+

This scientist: 138 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

View publications distribution as a table
Number of Neuroscience scientists by publication count, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
Publications Scientists This scientist
38–47 18
48–57 79
58–67 193
68–77 323
78–87 406
88–97 452
98–107 539
108–117 505
118–127 522
128–137 469
138–147 456 138
148–157 459
158–167 397
168–177 383
178–187 350
188–197 302
198–207 306
208–217 262
218–227 242
228–237 220
238–247 203
248–257 174
258–267 176
268–277 175
278–287 125
288–297 116
298–307 127
308–317 128
318–327 99
328–337 89
338–347 78
348–357 96
358–367 66
368–377 59
378–387 65
388–397 54
398–407 48
408–417 49
418–427 34
428–437 31
438–447 30
448–457 31
458–467 36
468–477 40
478–487 35
488–497 30
498–507 23
508–517 26
518–527 20
528–537 23
538–547 20
548–557 20
558–567 17
568–577 14
578–587 20
588–597 20
598–607 19
608–617 18
618–627 17
628–637 11
638–647 11
648–657 11
658–667 8
668–677 7
678–687 11
688–697 10
698–707 4
708–717 6
718–727 5
728–737 5
738–747 9
748–757 9
758–767 3
768–777 7
778–787 7
788–797 6
798–807 2
808–817 2
818–827 7
828–837 0
838–847 9
848–857 3
858–867 1
868–877 3
878–886 6
887+ 100
Download as CSV

Mingxiong Huang D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Mingxiong Huang sits on this spectrum.

No. of scientists
100 200 300 400 500
Bar chart with 68 bars. Horizontal axis: D-Index, 30–31 to 163+. Vertical axis: number of scientists, 0 to 512. Most scientists, 512, have 46–47 D-Index. The last bar groups every scientist with 163 D-Index or more. The highlighted bar, 48–49 D-Index, is where this scientist sits. 30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30–31 D-Index 163+

This scientist: 48 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

View D-Index distribution as a table
Number of Neuroscience scientists by D-index, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
D-Index Scientists This scientist
30–31 42
32–33 172
34–35 296
36–37 435
38–39 459
40–41 456
42–43 467
44–45 478
46–47 512
48–49 435 48
50–51 425
52–53 418
54–55 392
56–57 357
58–59 334
60–61 328
62–63 260
64–65 278
66–67 239
68–69 250
70–71 210
72–73 200
74–75 189
76–77 170
78–79 146
80–81 113
82–83 126
84–85 100
86–87 84
88–89 99
90–91 84
92–93 85
94–95 72
96–97 76
98–99 45
100–101 49
102–103 43
104–105 32
106–107 45
108–109 50
110–111 32
112–113 39
114–115 32
116–117 29
118–119 27
120–121 19
122–123 23
124–125 27
126–127 16
128–129 24
130–131 13
132–133 21
134–135 17
136–137 14
138–139 15
140–141 10
142–143 10
144–145 13
146–147 9
148–149 8
150–151 6
152–153 6
154–155 7
156–157 7
158–159 10
160–161 4
162 8
163+ 100
Download as CSV

Overview

Mingxiong Huang is affiliated with the University of California, San Diego in the United States. Their research focus spans multiple fields primarily centered on neuroscience and medicine.

The main areas of study covered in their work include:

  • Neuroscience
  • Medicine

Within these broad fields, their subfields of study highlight specialized expertise in:

  • Cognitive Neuroscience
  • Epidemiology
  • Neurology
  • Radiology, Nuclear Medicine and Imaging
  • Atomic and Molecular Physics, and Optics

Mingxiong Huang's research interests are reflected in the main topics explored through their publications:

  • Functional Brain Connectivity Studies
  • Traumatic Brain Injury Research
  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function
  • Advanced MRI Techniques and Applications
  • Atomic and Subatomic Physics Research
  • Traumatic Brain Injury and Neurovascular Disturbances

Significant collaborators contributing to their body of work include:

  • Roland R. Lee
  • Deborah L. Harrington
  • Imanuel Lerman
  • Dewleen G. Baker
  • Sharon Nichols

The frequent venues where their research is published demonstrate a focus on neuroscience and neuroimaging, including:

  • Neuroimaging Clinics of North America
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Neurotrauma
  • Frontiers in Aging Neuroscience
  • Frontiers in Physiology

Recent publications by Mingxiong Huang capture advances in brain imaging, brain-computer interfaces, and traumatic brain injury, exemplified by:

  • "Peripheral Nerve Magnetoneurography With Optically Pumped Magnetometers," 2022, Frontiers in Physiology
  • "Presurgical Functional Mapping with Magnetoencephalography," 2020, Neuroimaging Clinics of North America
  • "Detection of Chronic Blast-Related Mild Traumatic Brain Injury with Diffusion Tensor Imaging and Support Vector Machines," 2022, Diagnostics
  • "Resting-state magnetoencephalography source magnitude imaging with deep-learning neural network for classification of symptomatic combat-related mild traumatic brain injury," 2021, Human Brain Mapping
  • "Magnetoencephalogram-based brain-computer interface for hand-gesture decoding using deep learning," 2023, Cerebral Cortex

Best Publications

  • A sensor-weighted overlapping-sphere head model and exhaustive head model comparison for MEG.

    M X Huang;J C Mosher;R M Leahy

  • A Study of Dipole Localization Accuracy for MEG and EEG using a Human Skull Phantom

    R.M. Leahy;J.C. Mosher;M.E. Spencer;M.X. Huang

  • Integrated imaging approach with MEG and DTI to detect mild traumatic brain injury in military and civilian patients.

    Ming-Xiong Huang;Rebecca J. Theilmann;Ashley Robb;Annemarie Angeles

  • Neural representation of interval encoding and decision making

    Deborah L. Harrington;Lara A. Boyd;Andrew R. Mayer;Daniel M. Sheltraw

  • Spinal cord stimulation in chronic pain: evidence and theory for mechanisms of action

    Jacob Caylor;Rajiv Reddy;Sopyda Yin;Christina Cui

  • Lateralization of Auditory Sensory Gating and Neuropsychological Dysfunction in Schizophrenia

    Robert J. Thoma;Faith M. Hanlon;Sandra N. Moses;J. Christopher Edgar

  • Xenomelia: a new right parietal lobe syndrome

    Paul D McGeoch;David Brang;Tao Song;Roland R Lee

  • Multi-start downhill simplex method for spatio-temporal source localization in magnetoencephalography.

    M Huang;C.J Aine;S Supek;E Best

  • Magnetoencephalography reveals early activation of V4 in grapheme-color synesthesia.

    David Brang;E. M. Hubbard;Seana Coulson;M. Huang

  • Commonalities and differences among vectorized beamformers in electromagnetic source imaging.

    Ming Xiong Huang;Ming Xiong Huang;J. J. Shih;R. R. Lee;R. R. Lee;D. L. Harrington;D. L. Harrington

  • A Modified Probabilistic Neural Network for Partial Volume Segmentation in Brain MR Image

    Tao Song;M.M. Jamshidi;R.R. Lee;Mingxiong Huang

  • Vector-based spatial-temporal minimum L1-norm solution for MEG

    Ming Xiong Huang;Ming Xiong Huang;Anders M. Dale;Tao Song;Eric Halgren

  • A Novel Integrated MEG and EEG Analysis Method for Dipolar Sources

    Mingxiong Huang;Mingxiong Huang;Tao Song;Donald J. Hagler;Igor Podgorny

  • Impairment on the hippocampal-dependent virtual Morris water task in schizophrenia.

    Faith M. Hanlon;Michael P. Weisend;Michael P. Weisend;Derek A. Hamilton;Aaron P. Jones

  • Single-subject-based whole-brain MEG slow-wave imaging approach for detecting abnormality in patients with mild traumatic brain injury.

    Ming-Xiong Huang;Sharon Nichols;Dewleen G. Baker;Ashley Robb

  • An automatic MEG low-frequency source imaging approach for detecting injuries in mild and moderate TBI patients with blast and non-blast causes.

    Mingxiong Huang;Sharon L. Nichols;Ashley Robb;Annemarie Angeles

  • M50 sensory gating predicts negative symptoms in schizophrenia

    Robert J. Thoma;Faith M. Hanlon;Sandra N. Moses;Daniel Ricker

  • Voxel-wise resting-state MEG source magnitude imaging study reveals neurocircuitry abnormality in active-duty service members and veterans with PTSD.

    Ming-Xiong Huang;Ming-Xiong Huang;Kate A. Yurgil;Ashley Robb;Annemarie Angeles

  • Interpreting abnormality: an EEG and MEG study of P50 and the auditory paired-stimulus paradigm.

    J.C Edgar;M.X Huang;M.P Weisend;A Sherwood

  • Predicting EEG responses using MEG sources in superior temporal gyrus reveals source asynchrony in patients with schizophrenia.

    M.X. Huang;J.C. Edgar;R.J. Thoma;F.M. Hanlon

  • Cognitive Abilities and 50- and 100-msec Paired-Click Processes in Schizophrenia

    Ashley K. Smith;J. Christopher Edgar;Mingxiong Huang;Brett Y. Lu

Frequent Co-Authors

Roland R. Lee
Roland R. Lee Veterans Health Administration
José M. Cañive
José M. Cañive University of New Mexico
Deborah L. Harrington
Deborah L. Harrington Veterans Health Administration
Gregory A. Miller
Gregory A. Miller University of California, Los Angeles
Michael P. Weisend
Michael P. Weisend Mind Research Network
Dewleen G. Baker
Dewleen G. Baker University of California, San Diego
Robert J. Thoma
Robert J. Thoma University of New Mexico
Faith M. Hanlon
Faith M. Hanlon Mind Research Network
J. Christopher Edgar
J. Christopher Edgar Children's Hospital of Philadelphia
Sharon Nichols
Sharon Nichols University of California, San Diego

External Links

Personal website of Mingxiong Huang

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Best Scientists Citing Mingxiong Huang

Matthew J. Brookes

Matthew J. Brookes

University of Nottingham

Publications: 52

Sylvain Baillet

Sylvain Baillet

McGill University

Publications: 48

Krish D. Singh

Krish D. Singh

Cardiff University

Publications: 43

Timothy P.L. Roberts

Timothy P.L. Roberts

Children's Hospital of Philadelphia

Publications: 39

Gregory A. Miller

Gregory A. Miller

University of California, Los Angeles

Publications: 35

J. Christopher Edgar

J. Christopher Edgar

Children's Hospital of Philadelphia

Publications: 32

Julia M. Stephen

Julia M. Stephen

Mind Research Network

Publications: 32

Suresh D. Muthukumaraswamy

Suresh D. Muthukumaraswamy

University of Auckland

Publications: 31

Arjan Hillebrand

Arjan Hillebrand

Vrije Universiteit Amsterdam

Publications: 29

Mark W. Woolrich

Mark W. Woolrich

University of Oxford

Publications: 28

John C. Mosher

John C. Mosher

Cleveland Clinic

Publications: 25

Gareth R. Barnes

Gareth R. Barnes

University College London

Publications: 25

Matti Hämäläinen

Matti Hämäläinen

Harvard Medical School

Publications: 22

Srikantan S. Nagarajan

Srikantan S. Nagarajan

University of California, San Francisco

Publications: 22

Richard M. Leahy

Richard M. Leahy

University of Southern California

Publications: 22

Bin He

Bin He

Carnegie Mellon University

Publications: 21

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