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Teresa Wu

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 45 7284 7073 3178 3058 179 7089

Teresa Wu publications per year

The chart shows the history of publications by Teresa Wu between 2001 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Teresa Wu published across 25 years, from 2001 to 2025, averaging 14.2 papers a year. Output peaked at 39 publications in 2023. 69 of the 355 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2001 to 2025. Vertical axis: number of publications, 0 to 39. Peak 39 publications in 2023. 2001: 1 publication 2002: 0 publications 2003: 1 publication 2004: 9 publications 2005: 6 publications 2006: 3 publications 2007: 7 publications 2008: 4 publications 2009: 11 publications 2010: 11 publications 2011: 11 publications 2012: 15 publications 2013: 13 publications 2014: 18 publications 2015: 15 publications 2016: 19 publications 2017: 15 publications 2018: 14 publications 2019: 13 publications 2020: 11 publications 2021: 26 publications 2022: 24 publications 2023: 39 publications 2024: 36 publications 2025: 33 publications
2001 2025

355 publications in total across all disciplines

View publications per year as a table
Teresa Wu: publications per year, 2001 to 2025
Year Publications
2001 1
2002 0
2003 1
2004 9
2005 6
2006 3
2007 7
2008 4
2009 11
2010 11
2011 11
2012 15
2013 13
2014 18
2015 15
2016 19
2017 15
2018 14
2019 13
2020 11
2021 26
2022 24
2023 39
2024 36
2025 33
Total 355
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Teresa Wu publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Teresa Wu sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 172–181 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 179 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556 179
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Teresa Wu D-index placement in Computer Science in 2026

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

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 44–45 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763 45
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

Teresa Wu is affiliated with Arizona State University in the United States. Their research spans multiple fields, primarily focusing on Medicine and Computer Science. Within these fields, they have contributed extensively to subfields such as Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Psychiatry and Mental Health, Neurology, and Computer Vision and Pattern Recognition.

Their research topics cover a diverse range of areas including:

  • Dementia and Cognitive Impairment Research
  • Machine Learning in Healthcare
  • Migraine and Headache Studies
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Medical Imaging Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Functional Brain Connectivity Studies

Teresa Wu's frequent publication venues include:

  • Alzheimer s & Dementia
  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Neurology
  • Scientific Reports

Frequently collaborating co-authors are:

  • Catherine D. Chong
  • Todd J. Schwedt
  • Jay Shah
  • Kewei Chen
  • Zheng O'Neill

Some of their recent papers are:

  • "Ten questions concerning occupant health in buildings during normal operations and extreme events including the COVID-19 pandemic" (2020), published in Building and Environment
  • "Occupant health in buildings: Impact of the COVID-19 pandemic on the opinions of building professionals and implications on research" (2021), published in Building and Environment
  • "AD-NET: Age-adjust neural network for improved MCI to AD conversion prediction" (2020), published in NeuroImage Clinical
  • "A critical review of cyber-physical security for building automation systems" (2023), published in Annual Reviews in Control
  • "Deep learning strategies for critical heat flux detection in pool boiling" (2021), published in Applied Thermal Engineering

Best Publications

  • A model for inbound supply risk analysis

    Teresa Wu;Jennifer Blackhurst;Vellayappan Chidambaram

  • Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation.

    Shuai Huang;Jing Li;Liang Sun;Jieping Ye

  • Methodology for supply chain disruption analysis

    Teresa Wu;J. Blackhurst;P. O'Grady

  • An Adaptive Particle Swarm Optimization With Multiple Adaptive Methods

    Mengqi Hu;Teresa Wu;Jeffery D. Weir

  • MMR: An algorithm for clustering categorical data using Rough Set Theory

    Darshit Parmar;Teresa Wu;Jennifer Blackhurst

  • SD-CNN: A shallow-deep CNN for improved breast cancer diagnosis.

    Fei Gao;Teresa Wu;Jing Li;Bin Zheng

  • PCDM: a decision support modeling methodology for supply chain, product and process design decisions

    Jennifer Blackhurst;Teresa Wu;Peter O'Grady

  • Supplier evaluation and selection: an augmented DEA approach

    Teresa Wu;Jennifer Blackhurst

  • Evolution of operations management: past, present and future

    Erkan Bayraktar;M.C. Jothishankar;Ekrem Tatoglu;Teresa Wu

  • Network-based approach to modelling uncertainty in a supply chain

    J. Blackhurst;Teresa Wu;P. O'Grady

  • Use of multimodality imaging and artificial intelligence for diagnosis and prognosis of early stages of Alzheimer's disease.

    Xiaonan Liu;Kewei Chen;Teresa Wu;David Weidman

  • Multi-Parametric MRI and Texture Analysis to Visualize Spatial Histologic Heterogeneity and Tumor Extent in Glioblastoma

    Leland S. Hu;Leland S. Hu;Shuluo Ning;Jennifer M. Eschbacher;Nathan Gaw

  • Heterogeneous data fusion for alzheimer's disease study

    Jieping Ye;Kewei Chen;Teresa Wu;Jing Li

  • AIDEA: a methodology for supplier evaluation and selection in a supplier-based manufacturing environment

    Teresa Wu;Dan L. Shunk;Jennifer Blackhurst;Rajendra Appalla

  • Short-term building energy model recommendation system: A meta-learning approach

    Can Cui;Teresa Wu;Mengqi Hu;Jefferey D. Weir

  • A feature transfer enabled multi-task deep learning model on medical imaging

    Fei Gao;Hyunsoo Yoon;Hyunsoo Yoon;Teresa Wu;Teresa Wu;Xianghua Chu

  • A stochastic AHP decision making methodology for imprecise preferences

    Eugene Rex Jalao;Teresa Wu;Dan L. Shunk

  • MRI Texture Analysis Predicts p53 Status in Head and Neck Squamous Cell Carcinoma

    M. Dang;J. T. Lysack;Teresa Wu;T. W. Matthews

  • A systematic approach for supply chain conflict detection with a hierarchical Petri Net extension

    Jennifer Blackhurst;Teresa Wu;Christopher W. Craighead

  • Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data

    Shuai Huang;Jing Li;Liang Sun;Jun Liu

  • Decentralized operation strategies for an integrated building energy system using a memetic algorithm

    Mengqi Hu;Jeffery D. Weir;Teresa Wu

  • An intelligent augmentation of particle swarm optimization with multiple adaptive methods

    Mengqi Hu;Teresa Wu;Jeffery D. Weir

Frequent Co-Authors

Jennifer Blackhurst
Jennifer Blackhurst Auburn University
Kewei Chen
Kewei Chen Arizona State University
John W. Fowler
John W. Fowler Arizona State University
Jieping Ye
Jieping Ye Alibaba Group (China)
Leslie C. Baxter
Leslie C. Baxter Mayo Clinic
Eric M. Reiman
Eric M. Reiman Arizona State University
Wei Qian
Wei Qian The University of Texas at El Paso
Bruce L. Miller
Bruce L. Miller University of California, San Francisco
Adam S. Fleisher
Adam S. Fleisher Avid Radiopharmaceuticals
Amylou C. Dueck
Amylou C. Dueck Mayo Clinic

External Links

Personal website of Teresa Wu

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Best Scientists Citing Teresa Wu

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 79

Daoqiang Zhang

Daoqiang Zhang

Nanjing University of Aeronautics and Astronautics

Publications: 26

Tutut Herawan

Tutut Herawan

University of Malaya

Publications: 23

Chong Yaw Wee

Chong Yaw Wee

University of North Carolina at Chapel Hill

Publications: 19

Moo K. Chung

Moo K. Chung

University of Wisconsin–Madison

Publications: 17

John R. Hodges

John R. Hodges

University of Sydney

Publications: 17

Wei Qian

Wei Qian

The University of Texas at El Paso

Publications: 16

Jieping Ye

Jieping Ye

Alibaba Group (China)

Publications: 16

Bruce L. Miller

Bruce L. Miller

University of California, San Francisco

Publications: 16

Lei Wang

Lei Wang

University of Wollongong

Publications: 16

Liang Gao

Liang Gao

Huazhong University of Science and Technology

Publications: 13

Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

Publications: 13

Xiangnan Kong

Xiangnan Kong

Worcester Polytechnic Institute

Publications: 13

Howard J. Rosen

Howard J. Rosen

University of California, San Francisco

Publications: 12

Dmitry Ivanov

Dmitry Ivanov

Berlin School of Economics and Law

Publications: 12

Han Zhang

Han Zhang

ShanghaiTech University

Publications: 11

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