Chengyue Wu

941 citations
41 papers · 509 indexed · h-index 12
Topics
MRI in cancer diagnosis (18 papers)Radiomics and Machine Learning in Medical Imaging (15 papers)Medical Imaging Techniques and Applications (10 papers)
Journals
SHILAP Revista de lepidopterologíaCancer ResearchNature Protocols
Partner nations
United StatesItalyChina

In The Last Decade

Chengyue Wu

36 papers receiving 502 citations

Peers

Chengyue Wu
Comparison fields: 5 of 81
  • Radiology, Nuclear Medicine and Imaging 275
  • Modeling and Simulation 124
  • Biomedical Engineering 111
  • Cancer Research 76
  • Oncology 55
Replace Olya Grove with:
Olya Grove United States
C.H. Holdsworth United States
Nkiruka C. Atuegwu United States
Julián Pérez-Beteta Spain
Luís A. Pérez-Romasanta Spain
Kerri‐Ann Norton United States
Esther Alberts Germany
John‐Melle Bokhorst Netherlands
Ermanno Cordelli Italy
Guillaume Jaume United States
Chengyue Wu relative to Olya Grove United States Olya Grove's profile →
Citations per field
00.5×
Olya Grove · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 3
2 7
3 3
4 4
5 4
6 4
7 41
8 68
9 10
10 4
11 45
12 17
13 26
14 2
15 37
16 20
17 24
18 38
19 0
20 46

About Chengyue Wu

Chengyue Wu is a scholar working on Structural Biology, Modeling and Simulation and Radiology, Nuclear Medicine and Imaging, having authored 41 papers that have together received 509 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (18 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Medical Imaging Techniques and Applications (10 papers). The work is most often cited by research in Modeling and Simulation (124 citations), Health Informatics (36 citations) and Radiology, Nuclear Medicine and Imaging (275 citations). Chengyue Wu has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Thomas E. Yankeelov, David A. Hormuth, Guillermo Lorenzo, Ernesto A. B. F. Lima, Angela M. Jarrett, Debra A. Patt, John Virostko, Gregory S. Karczmar, Federico Pineda and Julie C. DiCarlo. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and Nature Protocols.

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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