Lijuan Yu
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- Radiomics and Machine Learning in Medical Imaging 20
- Medical Imaging Techniques and Applications 13
- MRI in cancer diagnosis 4
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- Lung Cancer Diagnosis and Treatment 12
- Lung Cancer Treatments and Mutations 5
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- Video Analysis and Summarization 3
- Image Retrieval and Classification Techniques 3
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- Pancreatic and Hepatic Oncology Research 3
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterología (2 papers)PLoS ONE (3 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Lijuan Yu
45 papers receiving 549 citations
Peers
Comparison fields: 5 of 76
- Radiology, Nuclear Medicine and Imaging 336
- Pulmonary and Respiratory Medicine 253
- Computer Vision and Pattern Recognition 60
- Obstetrics and Gynecology 23
- Cancer Research 44
Countries citing papers authored by Lijuan Yu
This map shows the geographic impact of Lijuan Yu'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 Lijuan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lijuan Yu more than expected).
Fields of papers citing papers by Lijuan Yu
This network shows the impact of papers produced by Lijuan Yu. 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 Lijuan Yu. The network helps show where Lijuan Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lijuan Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 14 | |
| 7 | 2021 | 33 | |
| 8 | 2019 | 16 | |
| 9 | 2018 | 10 | |
| 10 | 2018 | 19 | |
| 11 | 2016 | 0 | |
| 12 | 2016 | 17 | |
| 13 | 2016 | 17 | |
| 14 | 2014 | 73 | |
| 15 | 2014 | 26 | |
| 16 | 2012 | 10 | |
| 17 | (18)F-FDG PET/CT imaging and diagnosis method of pancreatic carcinoma | 2011 | 1 |
| 18 | 2009 | 30 | |
| 19 | ~(18)F-FDG PET/CT in detection of pancreatic cancer:value of synthetic analysis interpretation | 2007 | 1 |
| 20 | Improving diagnostic performance of PET/CT in single lung nodule with partial volume effect correction | 2007 | 1 |
About Lijuan Yu
Lijuan Yu is a scholar working on Radiology, Nuclear Medicine and Imaging, Energy Engineering and Power Technology and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 558 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (20 papers), Medical Imaging Techniques and Applications (13 papers), Lung Cancer Diagnosis and Treatment (12 papers), Lung Cancer Treatments and Mutations (5 papers), MRI in cancer diagnosis (4 papers), Video Analysis and Summarization (3 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (336 citations), Pulmonary and Respiratory Medicine (253 citations) and Computer Vision and Pattern Recognition (60 citations). Lijuan Yu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yanqin Sun, Wenzhi Wang, Qing Li, Chunyu Chu, Wanyu Liu, Jun Xin, Xiaofeng Yang, Haoran Xie, Jiahe Tian and Dawei Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.