Xiangxue Wang

1.2k citations
31 papers · 759 indexed · h-index 13
Topics
Radiomics and Machine Learning in Medical Imaging (21 papers)AI in cancer detection (15 papers)Sperm and Testicular Function (4 papers)

In The Last Decade

Xiangxue Wang

29 papers receiving 752 citations

Peers

Xiangxue Wang
Comparison fields: 5 of 63
  • Radiology, Nuclear Medicine and Imaging 444
  • Artificial Intelligence 339
  • Oncology 241
  • Pulmonary and Respiratory Medicine 193
  • Cancer Research 117
Replace Germán Corredor with:
Germán Corredor United States
Andreas Kleppe Norway
Tarjei S. Hveem Norway
Manohar Pradhan Norway
Balázs Ács Sweden
Olga Kondrashova Australia
Matahi Moarii France
Yosep Chong South Korea
Pierre Courtiol France
Meriem Sefta France
Xiangxue Wang relative to Germán Corredor United States Germán Corredor's profile →
Citations per field
00.5×3.5×
Germán Corredor · 1×
Citations per year

Countries citing papers authored by Xiangxue Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiangxue Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangxue Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangxue Wang. A scholar is included among the top collaborators of Xiangxue Wang 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 Xiangxue Wang. Xiangxue Wang 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
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9 48
10 12
11 15
12 12
13 41
14 51
15 96
16 29
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18 94
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高度に効率的な水素発生反応のためのpH普遍的電極触媒としての三元NiCo_2P_xナノワイヤ【Powered by NICT】
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About Xiangxue Wang

Xiangxue Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Reproductive Medicine and Artificial Intelligence, having authored 31 papers that have together received 759 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (21 papers), AI in cancer detection (15 papers) and Sperm and Testicular Function (4 papers). The work is most often cited by research in Health Informatics (35 citations), Radiology, Nuclear Medicine and Imaging (444 citations) and Biophysics (69 citations). Xiangxue Wang has collaborated with scholars based in United States, China and Colombia. Frequent co-authors include Anant Madabhushi, Vamsidhar Velcheti, Cheng Lu, Pingfu Fu, Kurt A. Schalper, Andrew Janowczyk, David L. Rimm, Yu Zhou, Germán Corredor and Kaustav Bera. Their work appears in journals such as Advanced Materials, Journal of Clinical Oncology and Bioinformatics.

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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