Wenzhi Lv

About

Wenzhi Lv is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Wenzhi Lv has authored 42 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Wenzhi Lv’s work include Radiomics and Machine Learning in Medical Imaging (23 papers), Thyroid Cancer Diagnosis and Treatment (8 papers) and MRI in cancer diagnosis (7 papers). Wenzhi Lv is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (23 papers), Thyroid Cancer Diagnosis and Treatment (8 papers) and MRI in cancer diagnosis (7 papers). Wenzhi Lv collaborates with scholars based in China, Hong Kong and Switzerland. Wenzhi Lv's co-authors include Xin‐Wu Cui, Christoph F. Dietrich, Meng Jiang, Changli Li, Xiaomao Luo, Xu Li, Ruixue Chen, Song-Yuan Yu, Bin Wang and Ge-Ge Wu and has published in prestigious journals such as Scientific Reports, Carbohydrate Polymers and Optics Letters.

In The Last Decade

Co-authorship network of co-authors of Wenzhi Lv i

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Fields of papers citing papers by Wenzhi Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wenzhi Lv

Since Specialization

Citations

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

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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