Guangzhi Wang

2.7k citations
159 papers · 1.8k indexed · h-index 24
Topics
Medical Image Segmentation Techniques (20 papers)Total Knee Arthroplasty Outcomes (12 papers)Advanced MRI Techniques and Applications (12 papers)

In The Last Decade

Guangzhi Wang

145 papers receiving 1.8k citations

Peers

Guangzhi Wang
Comparison fields: 5 of 164
  • Biomedical Engineering 546
  • Surgery 408
  • Radiology, Nuclear Medicine and Imaging 342
  • Computer Vision and Pattern Recognition 335
  • Molecular Biology 197
Replace Erik B. Dam with:
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Citations per field
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Countries citing papers authored by Guangzhi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guangzhi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangzhi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guangzhi Wang. A scholar is included among the top collaborators of Guangzhi 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 Guangzhi Wang. Guangzhi 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
1 1
2 1
3 0
4 5
5 2
6 1
7 3
8 27
9 4
10 4
11 13
12 11
13
Combined Method of Chaotic Theory and Neural Networks for Water Quality Prediction
3
14
Power controlling system design on electrosurgical generator
0
15
Segmentation of masses in mammograms
1
16
Research on the File Format Analysis and Application of DICOM Medical Image
3
17
Design and Implementation of RFID Technology Based Circle-Counting and Timing System Used in Sports
1
18
Reliability of the gait analysis system based on digital video and image processing in the assessment of gait
1
19
Monitoring of the heart-rate of moving body in real time using a frequency-based method
0
20
Dynamic and static properties of the human knee joint in axial rotation
1

About Guangzhi Wang

Guangzhi Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 159 papers that have together received 1.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (20 papers), Total Knee Arthroplasty Outcomes (12 papers) and Advanced MRI Techniques and Applications (12 papers). The work is most often cited by research in Orthopedics and Sports Medicine (157 citations), Computer Vision and Pattern Recognition (335 citations) and Radiology, Nuclear Medicine and Imaging (342 citations). Guangzhi Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hui Ding, Liqun Zhang, Jason L. Koh, Xiaodong Wang, Jinfeng Sun, Qing Huang, Ronald W. Hendrix, Gordon W. Nuber, Li‐Qun Zhang and Joel M. Press. Their work appears in journals such as PLoS ONE, Journal of Bone and Joint Surgery and ACS Applied Materials & Interfaces.

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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