World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
7089
World Ranking
7284
National Ranking
3178

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.

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 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.

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.

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 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.

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

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