Xi Wei

3.5k citations
134 papers · 2.7k · 2 hit papers · h-index 28

Impact in

Papers in

Xi Wei

126 papers receiving 2.6k citations

Xi Wei's Hit Papers

2020 Chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the C-TIRADS 2020 · 244 citations
2440+2+5Years since publication100200300

Peers

Xi Wei
Comparison fields: 5 of 113
  • Endocrinology, Diabetes and Metabolism 915
  • Health Informatics 92
  • Cancer Research 186
  • Artificial Intelligence 415
  • Radiology, Nuclear Medicine and Imaging 252
Replace Yubo Liu with:
Yubo Liu China
Jingqiang Zhu China
Ji Soo Choi South Korea
Shengping Wang China
Young‐Hoon Kim South Korea
Weiwei Zhan China
Jian Huang China
Jiajun Du China
Takashi Matsunaga Japan
Xi Wei relative to Yubo Liu China Yubo Liu's profile →
Citations per field
00.5×2×4×6×8.2×
Yubo Liu · 1×
Citations per year

Countries citing papers authored by Xi Wei

Since Specialization
Citations

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

Fields of papers citing papers by Xi Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xi Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xi Wei Line = papers co-authored together Xi Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study
Hit paper breakdown →
2018342
2
2020 Chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the C-TIRADS
Hit paper breakdown →
2020244
3 2010146
4 202184
5 201178
6 201878
7 201975
8 201974
9 201755
10 201953
11 201444
12 201644
13 202040
14 202240
15 201738
16 202038
17 201036
18 201936
19 201735
20 201835

About Xi Wei

Xi Wei is a scholar working on Endocrinology, Diabetes and Metabolism, Hepatology, Oncology, Cancer Research and Artificial Intelligence, having authored 134 papers that have together received 2.7k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (43 papers), AI in cancer detection (13 papers), Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Ultrasound and Hyperthermia Applications (9 papers), Medical Image Segmentation Techniques (8 papers), Nanoplatforms for cancer theranostics (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Ophthalmology and Visual Impairment Studies (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (915 citations), Health Informatics (92 citations), Cancer Research (186 citations), Artificial Intelligence (415 citations) and Radiology, Nuclear Medicine and Imaging (252 citations). Xi Wei has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Sheng Zhang, Ming Gao, Ming Gao, Jialin Zhu, Ying Li, Xiangqian Zheng, Xinrong Lu, Jun Zhang, Lihong Qi and Irva Hertz‐Picciotto. Their work appears in journals such as Tumor Biology, Cancer Medicine, Cancer Biology and Medicine, Journal of Cancer and Cancer Imaging.

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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