Xiaocheng Wei

78 total papers · 599 total citations
35 papers, 427 citations indexed

About

Xiaocheng Wei is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Epidemiology. According to data from OpenAlex, Xiaocheng Wei has authored 35 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Hepatology and 4 papers in Epidemiology. Recurrent topics in Xiaocheng Wei's work include MRI in cancer diagnosis (18 papers), Advanced MRI Techniques and Applications (12 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Xiaocheng Wei is often cited by papers focused on MRI in cancer diagnosis (18 papers), Advanced MRI Techniques and Applications (12 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Xiaocheng Wei collaborates with scholars based in China, United States and Spain. Xiaocheng Wei's co-authors include Yi Wei, Bin Song, Hehan Tang, Zixing Huang, Jiaxing Li, Yuan Yuan, Dongbo Wu, Lin‐Feng Yan, Guangbin Cui and Weibo Gao and has published in prestigious journals such as Scientific Reports, Neuroscience and Medicine.

In The Last Decade

Xiaocheng Wei

32 papers receiving 426 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Xiaocheng Wei	320	92	37	36	33	35	427
Salvatore Annunziata	265 0.8×	28 0.3×	31 0.8×	126 3.5×	28 0.8×	36	462
Kun Lv	146 0.5×	47 0.5×	37 1.0×	73 2.0×	48 1.5×	47	427
Theodore T. Pierce	160 0.5×	59 0.6×	50 1.4×	82 2.3×	102 3.1×	43	372
Shuji Date	177 0.6×	71 0.8×	13 0.4×	49 1.4×	63 1.9×	27	377
Anselm Schulz	264 0.8×	72 0.8×	108 2.9×	52 1.4×	21 0.6×	36	409
Kazuhiro Yoshizumi	106 0.3×	109 1.2×	37 1.0×	57 1.6×	68 2.1×	17	433
Yingying Liang	225 0.7×	73 0.8×	22 0.6×	72 2.0×	55 1.7×	48	455
Santhosh Gaddikeri	156 0.5×	61 0.7×	33 0.9×	103 2.9×	108 3.3×	27	475
Emanuele David	166 0.5×	14 0.2×	8 0.2×	73 2.0×	40 1.2×	46	432
Jianye Liang	305 1.0×	31 0.3×	33 0.9×	105 2.9×	50 1.5×	30	482

Countries citing papers authored by Xiaocheng Wei

Since Specialization

Citations

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

Fields of papers citing papers by Xiaocheng Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaocheng Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaocheng Wei. A scholar is included among the top collaborators of Xiaocheng 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 Xiaocheng Wei. Xiaocheng Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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