Teresa Wu

8.7k total citations
237 papers, 5.6k citations indexed

About

Teresa Wu is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Teresa Wu has authored 237 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Artificial Intelligence, 50 papers in Radiology, Nuclear Medicine and Imaging and 35 papers in Psychiatry and Mental health. Recurrent topics in Teresa Wu's work include Dementia and Cognitive Impairment Research (22 papers), Functional Brain Connectivity Studies (17 papers) and Building Energy and Comfort Optimization (16 papers). Teresa Wu is often cited by papers focused on Dementia and Cognitive Impairment Research (22 papers), Functional Brain Connectivity Studies (17 papers) and Building Energy and Comfort Optimization (16 papers). Teresa Wu collaborates with scholars based in United States, China and South Korea. Teresa Wu's co-authors include Jennifer Blackhurst, Mengqi Hu, Jeffery D. Weir, Peter O’Grady, Jing Li, Kewei Chen, Jieping Ye, Fei Gao, Eric M. Reiman and Kevin M. Bennett and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Teresa Wu

218 papers receiving 5.4k citations

Peers

Teresa Wu
Teresa Wu
Citations per year, relative to Teresa Wu Teresa Wu (= 1×) peers A. S. Albahri

Countries citing papers authored by Teresa Wu

Since Specialization
Citations

This map shows the geographic impact of Teresa Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Teresa Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teresa Wu more than expected).

Fields of papers citing papers by Teresa Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Teresa Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Teresa Wu. The network helps show where Teresa Wu may publish in the future.

Co-authorship network of co-authors of Teresa Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Teresa Wu. A scholar is included among the top collaborators of Teresa Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Teresa Wu. Teresa Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Sheth, Deepa, Md Mahfuzur Rahman Siddiquee, Catherine D. Chong, et al.. (2025). Leveraging multi-modal foundation model image encoders to enhance brain MRI-based headache classification. Scientific Reports. 15(1). 33256–33256.
3.
Li, Guowen, Yangyang Fu, Zheng O’Neill, et al.. (2025). A cyber-resilient control framework with adaptive model predictive control (AMPC) for securing energy systems in smart buildings. Science and Technology for the Built Environment. 32(1). 1–24.
4.
Luo, Ji, et al.. (2024). Enhancing Amyloid PET Quantification: MRI-Guided Super-Resolution Using Latent Diffusion Models. Life. 14(12). 1580–1580. 4 indexed citations
5.
Pedrielli, Giulia, et al.. (2024). Predicting RNA sequence-structure likelihood via structure-aware deep learning. BMC Bioinformatics. 25(1). 316–316. 3 indexed citations
6.
Geda, Yonas E., et al.. (2024). Smart Driving Technology for Non-Invasive Detection of Age-Related Cognitive Decline. Sensors. 24(24). 8062–8062.
7.
Pradhan, Ojas, et al.. (2024). An entropy-based causality framework for cross-level faults diagnosis and isolation in building HVAC systems. Energy and Buildings. 317. 114378–114378. 6 indexed citations
8.
Xu, Yanzhe, et al.. (2023). BlobCUT: A Contrastive Learning Method to Support Small Blob Detection in Medical Imaging. Bioengineering. 10(12). 1372–1372. 4 indexed citations
9.
Siddiquee, Md Mahfuzur Rahman, et al.. (2023). Domain-knowledge Inspired Pseudo Supervision (DIPS) for unsupervised image-to-image translation models to support cross-domain classification. Engineering Applications of Artificial Intelligence. 127. 107255–107255. 6 indexed citations
10.
Charlton, Jennifer R., Teng Li, Teresa Wu, et al.. (2023). Use of novel structural features to identify urinary biomarkers during acute kidney injury that predict progression to chronic kidney disease. BMC Nephrology. 24(1). 178–178. 3 indexed citations
11.
Siddiquee, Md Mahfuzur Rahman, Catherine D. Chong, Simona Nikolova, et al.. (2022). Headache classification and automatic biomarker extraction from structural MRIs using deep learning. Brain Communications. 5(1). fcac311–fcac311. 21 indexed citations
12.
Gao, Fei, Teresa Wu, Jing Li, et al.. (2018). SD-CNN: A shallow-deep CNN for improved breast cancer diagnosis. Computerized Medical Imaging and Graphics. 70. 53–62. 152 indexed citations
13.
Cui, Can, Mengqi Hu, Jeffery D. Weir, & Teresa Wu. (2015). A recommendation system for meta-modeling: A meta-learning based approach. Expert Systems with Applications. 46. 33–44. 46 indexed citations
14.
Beeman, Scott C., Luise A. Cullen‐McEwen, Victor G. Puelles, et al.. (2014). MRI-based glomerular morphology and pathology in whole human kidneys. American Journal of Physiology-Renal Physiology. 306(11). F1381–F1390. 78 indexed citations
15.
Wu, Teresa. (2014). Patient Specific Radiation Dose Tracking: Improving Quality Assurance in Radiology Practices. Journal of Health & Medical Informatics. 5(5). 1 indexed citations
16.
Ramírez–Nafarrate, Adrián, John Fowler, & Teresa Wu. (2011). Design of centralized ambulance diversion policies using simulation-optimization. Winter Simulation Conference. 1251–1262. 6 indexed citations
17.
Zhang, Xiaoling, Qiang Lu, & Teresa Wu. (2010). Petri-net based applications for supply chain management: an overview. International Journal of Production Research. 49(13). 3939–3961. 36 indexed citations
18.
Ramírez–Nafarrate, Adrián, John Fowler, & Teresa Wu. (2010). Bi-criteria analysis of ambulance diversion policies. Winter Simulation Conference. 2315–2326. 10 indexed citations
19.
Fowler, John, et al.. (2009). Analysis of ambulance diversion policies for a large-size hospital. Winter Simulation Conference. 1875–1886. 13 indexed citations
20.
Tseng, Tzu-Liang, et al.. (2004). Applying data mining approaches for defect diagnosis in manufacturing industry. 1441–1447. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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