World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

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

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

John W. Fowler
John W. Fowler Arizona State University
Leslie C. Baxter
Leslie C. Baxter Mayo Clinic
Jieping Ye
Jieping Ye Alibaba Group (China)
Eric M. Reiman
Eric M. Reiman Arizona State University
Wei Qian
Wei Qian The University of Texas at El Paso
Adam S. Fleisher
Adam S. Fleisher Avid Radiopharmaceuticals
Junwen Wang
Junwen Wang Mayo Clinic
Nong Ye
Nong Ye Arizona State University
Jun Liu
Jun Liu Infinia ML (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring career pathways in computer science opens doors to a wide variety of online degrees and specialized qualifications. For those interested in expanding their technical expertise, pursuing an online master’s in electrical engineering degree can complement core computer science skills and lead to advanced roles in technology and engineering.

If you are looking to boost your earning potential quickly, consider earning certifications that pay well. These industry-recognized certificates can help you stand out in a competitive job market and lead to lucrative positions in IT, cybersecurity, or data analysis.

Time-conscious professionals might be interested in the shortest masters degree programs available online. These accelerated programs allow you to gain new qualifications without putting your career on hold for an extended period.

For those planning long-term career growth, researching the best masters degree to get can help you align your educational investment with current industry demand and future-proof your skills.

Best Scientists Citing Teresa Wu

Trending Scientists

Recently Published Articles