Shandong Wu

3.8k citations
105 papers · 2.5k indexed · 1 hit paper · h-index 28
Topics
Radiomics and Machine Learning in Medical Imaging (39 papers)AI in cancer detection (38 papers)MRI in cancer diagnosis (17 papers)

In The Last Decade

Shandong Wu

98 papers receiving 2.5k citations

Hit Papers

Chaotic invariants of Lagrangian particle trajectories fo...20102026201520202010100200300

Peers

Shandong Wu
Comparison fields: 5 of 156
  • Artificial Intelligence 1.3k
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Computer Vision and Pattern Recognition 653
  • Pulmonary and Respiratory Medicine 416
  • Oncology 240
Replace Andrzej Materka with:
Andrzej Materka Poland
Stavroula Mougiakakou Switzerland
Weijie Chen United States
Ulaş Bağcı United States
Themis P. Exarchos Greece
Ashish Sharma United States
Christopher Pal Canada
Evangelia I. Zacharaki Greece
J. Shin United States
Xin Yang China
Shandong Wu relative to Andrzej Materka Poland Andrzej Materka's profile →
Citations per field
00.5×3.0×
Andrzej Materka · 1×
Citations per year

Countries citing papers authored by Shandong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shandong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shandong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shandong Wu. A scholar is included among the top collaborators of Shandong 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 Shandong Wu. Shandong 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 0
2 0
3 4
4 0
5 4
6 7
7 3
8 5
9 7
10 6
11 10
12 7
13 9
14 67
15 24
16 96
17 106
18 8
19 20
20 62

About Shandong Wu

Shandong Wu is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 105 papers that have together received 2.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (39 papers), AI in cancer detection (38 papers) and MRI in cancer diagnosis (17 papers). The work is most often cited by research in Health Informatics (81 citations), Radiology, Nuclear Medicine and Imaging (1.2k citations) and Artificial Intelligence (1.3k citations). Shandong Wu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Mubarak Shah, Brian E. Moore, Aly A. Mohamed, Dooman Arefan, Wendie A. Berg, Jules H. Sumkin, Margarita L. Zuley, Despina Kontos, Rachel C. Jankowitz and Susan P. Weinstein. Their work appears in journals such as Nature Communications, PLoS ONE and Scientific Reports.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026