Lise Wei

1.4k total citations · 1 hit paper
24 papers, 860 citations indexed

About

Lise Wei is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Lise Wei has authored 24 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Artificial Intelligence and 7 papers in Biomedical Engineering. Recurrent topics in Lise Wei's work include Radiomics and Machine Learning in Medical Imaging (18 papers), Advanced X-ray and CT Imaging (6 papers) and Hepatocellular Carcinoma Treatment and Prognosis (5 papers). Lise Wei is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (18 papers), Advanced X-ray and CT Imaging (6 papers) and Hepatocellular Carcinoma Treatment and Prognosis (5 papers). Lise Wei collaborates with scholars based in United States, France and Netherlands. Lise Wei's co-authors include Issam El Naqa, Martin Vallières, Joseph Stancanello, Arvind Rao, Olivier Morin, Sarah A. Mattonen, Michele Avanzo, Sunan Cui, Randall K. Ten Haken and Yi Luo and has published in prestigious journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics and Medical Physics.

In The Last Decade

Lise Wei

24 papers receiving 842 citations

Hit Papers

Machine and deep learning methods for radiomics 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lise Wei United States 13 627 218 197 176 117 24 860
Kyle J. Lafata United States 16 602 1.0× 333 1.5× 160 0.8× 198 1.1× 157 1.3× 63 892
Roman Zeleznik United States 8 716 1.1× 399 1.8× 184 0.9× 271 1.5× 82 0.7× 15 892
Qingxia Wu China 15 709 1.1× 146 0.7× 174 0.9× 218 1.2× 67 0.6× 42 1.1k
Turkey Refaee Saudi Arabia 14 872 1.4× 384 1.8× 319 1.6× 179 1.0× 133 1.1× 31 1.1k
Ghasem Hajianfar Iran 20 1.0k 1.6× 329 1.5× 391 2.0× 210 1.2× 77 0.7× 86 1.2k
Vishwa S. Parekh United States 14 722 1.2× 154 0.7× 213 1.1× 252 1.4× 128 1.1× 39 942
Aydın Demircioğlu Germany 16 545 0.9× 186 0.9× 168 0.9× 132 0.8× 101 0.9× 53 861
Jan Hendrik Moltz Germany 16 644 1.0× 294 1.3× 174 0.9× 204 1.2× 129 1.1× 47 965
Cheng Jin China 13 577 0.9× 160 0.7× 123 0.6× 212 1.2× 169 1.4× 33 901
Fadila Zerka Netherlands 7 418 0.7× 155 0.7× 124 0.6× 151 0.9× 73 0.6× 14 646

Countries citing papers authored by Lise Wei

Since Specialization
Citations

This map shows the geographic impact of Lise Wei'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 Lise Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lise Wei more than expected).

Fields of papers citing papers by Lise Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lise Wei. 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 Lise Wei. The network helps show where Lise Wei may publish in the future.

Co-authorship network of co-authors of Lise Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Lise Wei. A scholar is included among the top collaborators of Lise Wei 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 Lise Wei. Lise Wei 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
1.
Lu, Zhong‐Lin, Lise Wei, Madhava Aryal, et al.. (2024). PET/CT-Based Absorbed Dose Maps in90Y Selective Internal Radiation Therapy Correlate with Spatial Changes in Liver Function Derived from Dynamic MRI. Journal of Nuclear Medicine. 65(8). 1224–1230. 5 indexed citations
2.
Wei, Lise, Madhava Aryal, Choonik Lee, et al.. (2024). Interpretable survival network for progression risk analysis of multimodality imaging biomarkers in poor-prognosis head and neck cancers. Scientific Reports. 14(1). 30004–30004. 1 indexed citations
3.
Wei, Lise, Madhava Aryal, Kyle C. Cuneo, et al.. (2023). Deep learning prediction of post‐SBRT liver function changes and NTCP modeling in hepatocellular carcinoma based on DGAE‐MRI. Medical Physics. 50(9). 5597–5608. 4 indexed citations
4.
Cui, Sunan, Alberto Traverso, Dipesh Niraula, et al.. (2023). Interpretable artificial intelligence in radiology and radiation oncology. British Journal of Radiology. 96(1150). 20230142–20230142. 9 indexed citations
5.
Ger, Rachel, Lise Wei, Issam El Naqa, & Jing Wang. (2023). The Promise and Future of Radiomics for Personalized Radiotherapy Dosing and Adaptation. Seminars in Radiation Oncology. 33(3). 252–261. 9 indexed citations
6.
Wei, Lise, Madhava Aryal, M.M. Matuszak, et al.. (2022). The Effect of Stereotactic Body Radiation Therapy for Hepatocellular Cancer on Regional Hepatic Liver Function. International Journal of Radiation Oncology*Biology*Physics. 115(3). 794–802. 8 indexed citations
7.
Niraula, Dipesh, Sunan Cui, Lise Wei, et al.. (2022). Current status and future developments in predicting outcomes in radiation oncology. British Journal of Radiology. 95(1139). 20220239–20220239. 15 indexed citations
8.
Wei, Lise, Dawn Owen, Benjamin Rosen, et al.. (2021). A deep survival interpretable radiomics model of hepatocellular carcinoma patients. Physica Medica. 82. 295–305. 42 indexed citations
9.
Pfaehler, Elisabeth, Ivan Zhovannik, Lise Wei, et al.. (2021). A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic features. Physics and Imaging in Radiation Oncology. 20. 69–75. 63 indexed citations
10.
Wei, Lise & Issam El Naqa. (2020). Artificial Intelligence for Response Evaluation With PET/CT. Seminars in Nuclear Medicine. 51(2). 157–169. 16 indexed citations
11.
Wei, Lise, et al.. (2020). Tumor response prediction in 90Y radioembolization with PET-based radiomics features and absorbed dose metrics. EJNMMI Physics. 7(1). 74–74. 14 indexed citations
12.
Avanzo, Michele, Lise Wei, Joseph Stancanello, et al.. (2020). Machine and deep learning methods for radiomics. Medical Physics. 47(5). e185–e202. 360 indexed citations breakdown →
13.
Wei, Lise, Benjamin Rosen, Martin Vallières, et al.. (2019). Automatic recognition and analysis of metal streak artifacts in head and neck computed tomography for radiomics modeling. Physics and Imaging in Radiation Oncology. 10. 49–54. 19 indexed citations
14.
Luo, Yi, H. Eric Tseng, Sunan Cui, et al.. (2019). Balancing accuracy and interpretability of machine learning approaches for radiation treatment outcomes modeling. BJR|Open. 1(1). 20190021–20190021. 77 indexed citations
15.
Wei, Lise, Sarah Osman, Mathieu Hatt, & Issam El Naqa. (2019). Machine learning for radiomics-based multimodality and multiparametric modeling. The Quarterly Journal of Nuclear Medicine and Molecular Imaging. 63(4). 323–338. 36 indexed citations
16.
Tseng, H. Eric, Lise Wei, Sunan Cui, et al.. (2018). Machine Learning and Imaging Informatics in Oncology. Oncology. 98(6). 344–362. 46 indexed citations
17.
Constanzo, Julie, et al.. (2017). Radiomics in precision medicine for lung cancer. Translational Lung Cancer Research. 6(6). 635–647. 25 indexed citations
18.
Qin, Zhixin, Chenguang He, Lise Wei, et al.. (2015). Study on AlGaN P-I-N-I-N solar-blind avalanche photodiodes with Al0.45Ga0.55N multiplication layer. Electronic Materials Letters. 11(6). 1053–1058. 11 indexed citations
19.
Meyer, John F. & Lise Wei. (2003). Analysis of workload influence on dependability. 84–89. 21 indexed citations
20.
Meyer, John F. & Lise Wei. (1988). Influence of workload on error recovery in random access memories. IEEE Transactions on Computers. 37(4). 500–507. 9 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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