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Yu-Te Wu

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 42 7500 6915 19 18 182 19323

Yu-Te Wu publications per year

The chart shows the history of publications by Yu-Te Wu between 1995 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yu-Te Wu published across 31 years, from 1995 to 2025, averaging 8.1 papers a year. Output peaked at 28 publications in 2024. 43 of the 252 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1995 to 2025. Vertical axis: number of publications, 0 to 28. Peak 28 publications in 2024. 1995: 2 publications 1996: 0 publications 1997: 1 publication 1998: 1 publication 1999: 1 publication 2000: 2 publications 2001: 3 publications 2002: 4 publications 2003: 11 publications 2004: 7 publications 2005: 5 publications 2006: 4 publications 2007: 7 publications 2008: 10 publications 2009: 13 publications 2010: 11 publications 2011: 12 publications 2012: 8 publications 2013: 19 publications 2014: 13 publications 2015: 5 publications 2016: 11 publications 2017: 10 publications 2018: 5 publications 2019: 5 publications 2020: 6 publications 2021: 14 publications 2022: 7 publications 2023: 12 publications 2024: 28 publications 2025: 15 publications
1995 2025

252 publications in total across all disciplines

View publications per year as a table
Yu-Te Wu: publications per year, 1995 to 2025
Year Publications
1995 2
1996 0
1997 1
1998 1
1999 1
2000 2
2001 3
2002 4
2003 11
2004 7
2005 5
2006 4
2007 7
2008 10
2009 13
2010 11
2011 12
2012 8
2013 19
2014 13
2015 5
2016 11
2017 10
2018 5
2019 5
2020 6
2021 14
2022 7
2023 12
2024 28
2025 15
Total 252
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Yu-Te Wu 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 Yu-Te Wu 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, 178–187 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: 182 publications — 56th percentile

56% 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
148–157 459
158–167 397
168–177 383
178–187 350 182
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

Yu-Te Wu 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 Yu-Te Wu 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, 42–43 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: 42 D-Index — 22nd percentile

22% 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 42
44–45 478
46–47 512
48–49 435
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

Yu-Te Wu is affiliated with National Yang Ming University in Taiwan and has contributed extensively to the field of medicine, particularly focusing on radiology, neuroscience, and imaging. Their research spans a variety of specialized subfields including Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Neurology, Pulmonary and Respiratory Medicine, and Psychiatry and Mental Health.

Their work has been published in several prominent venues where they have multiple publications. These include:

  • Cancers
  • Progress in Brain Research
  • Radiotherapy and Oncology
  • Journal of Medical and Biological Engineering
  • Cancer Imaging

Research topics prominently addressed by Yu-Te Wu cover:

  • Radiomics and Machine Learning in Medical Imaging
  • Functional Brain Connectivity Studies
  • Lung Cancer Diagnosis and Treatment
  • Meningioma and Schwannoma Management
  • Bipolar Disorder and Treatment
  • Advanced Neuroimaging Techniques and Applications
  • Advanced X-ray and CT Imaging

The scientist has a range of recent publications demonstrating involvement in both medical imaging and signal processing. Notable papers include:

  • Multi-Instrument Automatic Music Transcription With Self-Attention-Based Instance Segmentation, 2020, IEEE/ACM Transactions on Audio Speech and Language Processing
  • Prediction of Pseudoprogression and Long-Term Outcome of Vestibular Schwannoma After Gamma Knife Radiosurgery Based on Preradiosurgical MR Radiomics, 2020, Radiotherapy and Oncology
  • Applying Artificial Intelligence to Longitudinal Imaging Analysis of Vestibular Schwannoma Following Radiosurgery, 2021, Scientific Reports
  • Using Fractal Dimension Analysis with the Desikan-Killiany Atlas to Assess the Effects of Normal Aging on Subregional Cortex Alterations in Adulthood, 2021, Brain Sciences
  • Combining Analysis of Multi-Parametric MR Images into a Convolutional Neural Network: Precise Target Delineation for Vestibular Schwannoma Treatment Planning, 2020, Artificial Intelligence in Medicine

The frequent collaborators working alongside Yu-Te Wu include:

  • Chia-Feng Lu
  • Tingwei Wang
  • Jia-Sheng Hong
  • Huai-Che Yang
  • Wan-Yuo Guo

Best Publications

  • The CMS experiment at the CERN LHC

    S. Chatrchyan;G. Hmayakyan;V. Khachatryan;A. M. Sirunyan

  • The psychotomimetic effects of intravenous Delta-9-tetrahydrocannabinol in healthy individuals: Implications for psychosis

    Deepak Cyril D'Souza;Edward Perry;Lisa MacDougall;Yola Ammerman

  • Subtype-specific alterations of gamma-aminobutyric acid and glutamate in patients with major depression.

    Gerard Sanacora;Ralitza Gueorguieva;C. Neill Epperson;Yu-Te Wu

  • Riluzole Augmentation in Treatment-Resistant Obsessive–Compulsive Disorder: An Open-Label Trial

    Vladimir Coric;Sarper Taskiran;Christopher Pittenger;Suzanne Wasylink

  • Temporoparietal Transcranial Magnetic Stimulation for Auditory Hallucinations: Safety, Efficacy and Moderators in a Fifty Patient Sample

    Ralph E. Hoffman;Ralitza Gueorguieva;Keith A. Hawkins;Maxine Varanko

  • Activation of the hypothalamus characterizes the acupuncture stimulation at the analgesic point in human: a positron emission tomography study.

    Jen Chuen Hsieh;Jen Chuen Hsieh;Chung Haow Tu;Chung Haow Tu;Fang Pey Chen;Fang Pey Chen;Min Chi Chen

  • Brain morphological changes associated with cyclic menstrual pain

    Cheng-Hao Tu;David M. Niddam;David M. Niddam;Hsiang-Tai Chao;Li-Fen Chen;Li-Fen Chen

  • CMS Physics : Technical Design Report Volume 1: Detector Performance and Software

    G L Bayatian;A Korablev;A Soha;O Sharif

  • Frequency effects of Chinese character processing in the brain: An event-related fMRI study

    Wen-Jui Kuo;Tzu-Chen Yeh;Tzu-Chen Yeh;Chia-Ying Lee;Y.u-T.e Wu;Y.u-T.e Wu

  • Impairments in Cognitive Function and Brain Connectivity in Severe Asymptomatic Carotid Stenosis

    Hsien-Lin Cheng;Chun-Jen Lin;Bing-Wen Soong;Pei-Ning Wang

  • Image Registration Using Wavelet-Based Motion Model

    Yu-Te Wu;Takeo Kanade;Ching-Chung Li;Jeffrey Cohn

  • Neuronal correlates of consistency and frequency effects on Chinese character naming: an event-related fMRI study $

    Chia Ying Lee;Jie Li Tsai;Wen Jui Kuo;Wen Jui Kuo;Tzu Chen Yeh;Tzu Chen Yeh

  • A left-lateralized network for reading Chinese words: A 3 T fMRI study

    Wen Jui Kuo;Tzu Chen Yeh;Jeng Ren Duann;Yu Te Wu

  • Maintaining gait performance by cortical activation during dual-task interference: A functional near-infrared spectroscopy study

    Chia Feng Lu;Yan Ci Liu;Yea Ru Yang;Yu Te Wu

  • Neuronal correlates of gastric pain induced by fundus distension: a 3T-fMRI study.

    C.-L. Lu;Y.-T. Wu;T.-C. Yeh;T.-C. Yeh;L.-F. Chen

  • Optical flow estimation using wavelet motion model

    Yu-Te Wu;T. Kanade;J. Cohn;Ching-Chung Li

  • Implementation of Pipelined FastICA on FPGA for Real-Time Blind Source Separation

    Kuo-Kai Shyu;Ming-Huan Lee;Yu-Te Wu;Po-Lei Lee

  • Alterations in white matter micro-integrity of the superior longitudinal fasciculus and anterior thalamic radiation of young adult patients with depression.

    C.-H. Lai;Y.-T. Wu

  • Fractal dimension analysis for quantifying cerebellar morphological change of multiple system atrophy of the cerebellar type (MSA-C)

    Yu Te Wu;Kuo Kai Shyu;Chii Wen Jao;Zun Yun Wang

  • Recognition of motor imagery electroencephalography using independent component analysis and machine classifiers.

    Chih-I Hung;Chih-I Hung;Po-Lei Lee;Yu-Te Wu;Yu-Te Wu;Li-Fen Chen;Li-Fen Chen

  • Event-related functional MRI study on central representation of acute muscle pain induced by electrical stimulation.

    David M. Niddam;David M. Niddam;Tzu Chen Yeh;Tzu Chen Yeh;Yu Te Wu;Yu Te Wu;Po Lei Lee

  • First episode drug-naïve major depressive disorder with panic disorder: gray matter deficits in limbic and default network structures.

    Chien Han Lai;Yuan Yu Hsu;Yu Te Wu

Frequent Co-Authors

Jen Chuen Hsieh
Jen Chuen Hsieh National Yang Ming Chiao Tung University
Tzu Chen Yeh
Tzu Chen Yeh Taipei Veterans General Hospital
Kuo-Kai Shyu
Kuo-Kai Shyu National Central University
Ovid J.L. Tzeng
Ovid J.L. Tzeng Academia Sinica
Yung-Yang Lin
Yung-Yang Lin National Yang Ming Chiao Tung University
Shou-Dong Lee
Shou-Dong Lee Taipei Veterans General Hospital
Cheng-Ta Li
Cheng-Ta Li Taipei Veterans General Hospital

External Links

Personal website of Yu-Te Wu

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