Senhu Li

1.2k citations
9 papers · 97 · h-index 7

Impact in

Papers in

Senhu Li

9 papers receiving 94 citations

Peers

Senhu Li
Comparison fields: 5 of 36
  • Radiology, Nuclear Medicine and Imaging 50
  • Computer Vision and Pattern Recognition 37
  • Biomedical Engineering 45
  • Biophysics 5
  • Radiation 7
Replace Philipp Schad with:
Philipp Schad Germany
Elizabeth K. Cole United States
Federico Biavati Germany
Tobias Roß Germany
D. Lemoine France
Paul F. Jäger Germany
Yunguan Fu United Kingdom
Kinda Anna Saddi United Kingdom
Sekeun Kim United States
Adi Szeskin Israel
Senhu Li relative to Philipp Schad Germany Philipp Schad's profile →
Citations per field
00.5×
Philipp Schad · 1×
Citations per year

Countries citing papers authored by Senhu Li

Since Specialization
Citations

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

Fields of papers citing papers by Senhu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Senhu Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Senhu Li Line = papers co-authored together Senhu Li links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Semi-automatic Segmentation of the Liver and its Evaluation on the MICCAI 2007 Grand Challenge Data Set
200736
2 200620
3 200612
4 20059
5 20056
6 20086
7 20066
8 20091
9 20151

About Senhu Li

Senhu Li is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Surgery, having authored 9 papers that have together received 97 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (2 papers), Digital Radiography and Breast Imaging (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers), bioluminescence and chemiluminescence research (2 papers), Advanced X-ray and CT Imaging (2 papers), Medical Image Segmentation Techniques (2 papers), Optical Imaging and Spectroscopy Techniques (2 papers) and Coronary Interventions and Diagnostics (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (50 citations), Computer Vision and Pattern Recognition (37 citations), Biomedical Engineering (45 citations), Biophysics (5 citations) and Radiation (7 citations). Senhu Li has collaborated with scholars based in United States and China. Frequent co-authors include Brian Lennon, Benoît M. Dawant, Rui Li, Huabei Jiang, Qizhi Zhang, Raymond P. Vito, Seán M. Sullivan, Wouter H. P. Driessen, Huabei Jiang and Rui Li. Their work appears in journals such as Medical Physics, Journal of Biomechanics, Journal of X-Ray Science and Technology, Applied Optics and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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