Lisheng Wang

3.9k citations
139 papers · 2.6k indexed · h-index 24
Topics
Radiomics and Machine Learning in Medical Imaging (21 papers)Medical Image Segmentation Techniques (19 papers)Retinal Imaging and Analysis (14 papers)

In The Last Decade

Lisheng Wang

130 papers receiving 2.5k citations

Peers

Lisheng Wang
Comparison fields: 5 of 164
  • Molecular Biology 952
  • Cancer Research 777
  • Radiology, Nuclear Medicine and Imaging 673
  • Pulmonary and Respiratory Medicine 331
  • Computer Vision and Pattern Recognition 279
Replace Xiaohua Qian with:
Xiaohua Qian China
Zhen Qian China
Zheng Liu China
Kar‐Ming Fung United States
Cheng Lu China
Albert J. Sinusas United States
Lei Cai China
Lizhi Liu China
Mehdi Totonchi Iran
Maode Lai China
Lisheng Wang relative to Xiaohua Qian China Xiaohua Qian's profile →
Citations per field
00.5×
Xiaohua Qian · 1×
Citations per year

Countries citing papers authored by Lisheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lisheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisheng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Lisheng Wang. A scholar is included among the top collaborators of Lisheng 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 Lisheng Wang. Lisheng 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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[Inhibition of alphastatin on angiogenesis in human endothelial cells and the mechanism thereof: an experimental study].
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About Lisheng Wang

Lisheng Wang is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 139 papers that have together received 2.6k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (21 papers), Medical Image Segmentation Techniques (19 papers) and Retinal Imaging and Analysis (14 papers). The work is most often cited by research in Cancer Research (777 citations), Radiology, Nuclear Medicine and Imaging (673 citations) and Health Informatics (28 citations). Lisheng Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Fengjun Xiao, Zongben Xu, Yuefeng Yang, Huai Chen, Shaoli Song, Yijie Huang, Hua Wang, Xiuying Wang, Yau‐Huei Wei and Chun‐Ming Tsai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Blood.

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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