Chengyue Wu

116 total papers · 913 total citations
40 papers, 481 citations indexed

About

Chengyue Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Modeling and Simulation. According to data from OpenAlex, Chengyue Wu has authored 40 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Cancer Research and 9 papers in Modeling and Simulation. Recurrent topics in Chengyue Wu's work include MRI in cancer diagnosis (17 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Medical Imaging Techniques and Applications (10 papers). Chengyue Wu is often cited by papers focused on MRI in cancer diagnosis (17 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Medical Imaging Techniques and Applications (10 papers). Chengyue Wu collaborates with scholars based in United States, Italy and China. Chengyue Wu's co-authors include Thomas E. Yankeelov, David A. Hormuth, Guillermo Lorenzo, Ernesto A. B. F. Lima, Angela M. Jarrett, Debra A. Patt, John Virostko, Federico Pineda, Gregory S. Karczmar and Julie C. DiCarlo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Nature Protocols.

In The Last Decade

Chengyue Wu

35 papers receiving 476 citations

Author Peers

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

Author						Papers	Cites
Chengyue Wu	260	119	105	75	53	40	481
Julián Pérez-Beteta	305 1.2×	38 0.3×	81 0.8×	53 0.7×	59 1.1×	32	421
Jiacheng Song	240 0.9×	42 0.4×	80 0.8×	63 0.8×	63 1.2×	49	488
Nkiruka C. Atuegwu	352 1.4×	160 1.3×	50 0.5×	98 1.3×	65 1.2×	13	525
Lujia Wang	125 0.5×	19 0.2×	17 0.2×	63 0.8×	56 1.1×	36	516
Jong Bum Son	369 1.4×	10 0.1×	55 0.5×	17 0.2×	23 0.4×	30	486
Christian Diehl	122 0.5×	43 0.4×	28 0.3×	44 0.6×	46 0.9×	51	550
Iraj Hosseini	104 0.4×	11 0.1×	76 0.7×	18 0.2×	183 3.5×	31	510
Behnaz Abdollahi	204 0.8×	13 0.1×	49 0.5×	49 0.7×	136 2.6×	12	473
N.A. Mouravliansky	196 0.8×	55 0.5×	46 0.4×	13 0.2×	24 0.5×	23	409
Jianing Liu	58 0.2×	16 0.1×	28 0.3×	26 0.3×	132 2.5×	28	455

Countries citing papers authored by Chengyue Wu

Since Specialization

Citations

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

Fields of papers citing papers by Chengyue Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengyue Wu

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