Zhongwei Lv
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging
- Surgery
- Computer Vision and Pattern Recognition
- Co-authors
- Shangli ChengFei LiDan LiGuangqi ChenShen QuAaron M. GusdonYueye HuangHuixiong Xu
- Topics
- Thyroid Cancer Diagnosis and Treatment (11 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)Radiopharmaceutical Chemistry and Applications (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaCell ReportsMedicine
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Zhongwei Lv
34 papers receiving 388 citations
Peers
Comparison fields: 5 of 82
- Endocrinology, Diabetes and Metabolism 144
- Molecular Biology 101
- Radiology, Nuclear Medicine and Imaging 81
- Surgery 58
- Computer Vision and Pattern Recognition 51
Countries citing papers authored by Zhongwei Lv
This map shows the geographic impact of Zhongwei Lv'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 Zhongwei Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongwei Lv more than expected).
Fields of papers citing papers by Zhongwei Lv
This network shows the impact of papers produced by Zhongwei Lv. 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 Zhongwei Lv. The network helps show where Zhongwei Lv may publish in the future.
Co-authorship network of co-authors of Zhongwei Lv
This figure shows the co-authorship network connecting the top 25 collaborators of Zhongwei Lv. A scholar is included among the top collaborators of Zhongwei Lv 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 Zhongwei Lv. Zhongwei Lv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 13 | |
| 8 | 12 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 99Tc-Methylene Diphosphonate Treatment is Safe and Efficacious for Osteoporosis in Postmenopausal Differentiated Thyroid Cancer Patients Undergoing TSH Suppression: A Three-Center Non-Randomized Clinical Study | 1 |
| 12 | Deep Learning for the Automatic Diagnosis and Analysis of Bone Metastasis on Bone Scintigrams | 28 |
| 13 | 3 | |
| 14 | 12 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 9 | |
| 19 | 108 | |
| 20 | 24 |
About Zhongwei Lv
Zhongwei Lv is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 38 papers that have together received 403 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). The work is most often cited by research in Health Informatics (19 citations), Endocrinology, Diabetes and Metabolism (144 citations) and Media Technology (50 citations). Zhongwei Lv has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Shangli Cheng, Fei Li, Dan Li, Guangqi Chen, Shen Qu, Aaron M. Gusdon, Yueye Huang, Huixiong Xu, Chunjun Sheng and Mingzhao Xing. Their work appears in journals such as SHILAP Revista de lepidopterología, Cell Reports and Medicine.
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.