Yingwei Wu

52 total papers · 926 total citations
38 papers, 653 citations indexed

About

Yingwei Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Otorhinolaryngology. According to data from OpenAlex, Yingwei Wu has authored 38 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Surgery and 6 papers in Otorhinolaryngology. Recurrent topics in Yingwei Wu's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Inflammatory Bowel Disease (5 papers) and MRI in cancer diagnosis (5 papers). Yingwei Wu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Inflammatory Bowel Disease (5 papers) and MRI in cancer diagnosis (5 papers). Yingwei Wu collaborates with scholars based in China, United States and United Kingdom. Yingwei Wu's co-authors include Xiaofeng Tao, Feng Zeng, Zhonglian Cao, Cong Li, Qinghua Guo, Xinwei Li, Cheuk Y. Tang, Ying Mao, Xiaobing Lou and Bingwen Hu and has published in prestigious journals such as Angewandte Chemie International Edition, Nano Letters and PLoS ONE.

In The Last Decade

Yingwei Wu

33 papers receiving 645 citations

Author Peers

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

Author						Papers	Cites
Yingwei Wu	136	132	127	123	122	38	653
Jing Yang	95 0.7×	81 0.6×	133 1.0×	184 1.5×	82 0.7×	39	665
Moriel Vandsburger	103 0.8×	345 2.6×	134 1.1×	68 0.6×	99 0.8×	45	653
Farhan Qureshi	78 0.6×	176 1.3×	72 0.6×	328 2.7×	56 0.5×	38	662
Hiroto Takeuchi	42 0.3×	69 0.5×	134 1.1×	142 1.2×	99 0.8×	37	557
Zion Zibly	49 0.4×	134 1.0×	183 1.4×	279 2.3×	53 0.4×	40	717
Wim Van Hecke	37 0.3×	44 0.3×	177 1.4×	105 0.9×	86 0.7×	34	756
Takuya Watanabe	59 0.4×	45 0.3×	238 1.9×	123 1.0×	88 0.7×	37	696
Olivia Hough	90 0.7×	187 1.4×	112 0.9×	402 3.3×	107 0.9×	16	671
Bhavana Solanky	35 0.3×	214 1.6×	90 0.7×	83 0.7×	76 0.6×	26	651
Fei Miao	94 0.7×	178 1.3×	76 0.6×	167 1.4×	131 1.1×	33	644

Countries citing papers authored by Yingwei Wu

Since Specialization

Citations

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

Fields of papers citing papers by Yingwei Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingwei Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yingwei Wu. A scholar is included among the top collaborators of Yingwei Wu 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 Yingwei Wu. Yingwei Wu 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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