Guangzhi Wang

2.7k citations
159 papers · 1.8k indexed · h-index 24

Guangzhi Wang

145 papers receiving 1.8k citations

Peers

Guangzhi Wang
Comparison fields: 5 of 164
  • Orthopedics and Sports Medicine 157
  • Computer Vision and Pattern Recognition 335
  • Radiology, Nuclear Medicine and Imaging 342
  • Biomedical Engineering 546
  • Health Informatics 15
Replace Erik B. Dam with:
Erik B. Dam Denmark
Pietro Cerveri Italy
Guangquan Zhou China
Sergio Casciaro Italy
Kimerly Powell United States
Cong Gao China
Siddhartha Sikdar United States
Parvin Mousavi Canada
Kenneth A. Philbrick United States
Yongjin Zhou China
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Citations per year

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

The 25 scholars most cited alongside Guangzhi Wang, 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 Guangzhi Wang Line = papers co-authored together Guangzhi Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20250
4 20245
5 20242
6 20241
7 20233
8 202227
9 20204
10 20184
11 201413
12 201211
13
Combined Method of Chaotic Theory and Neural Networks for Water Quality Prediction
20103
14
Power controlling system design on electrosurgical generator
20070
15
Segmentation of masses in mammograms
20071
16
Research on the File Format Analysis and Application of DICOM Medical Image
20063
17
Design and Implementation of RFID Technology Based Circle-Counting and Timing System Used in Sports
20061
18
Reliability of the gait analysis system based on digital video and image processing in the assessment of gait
20051
19
Monitoring of the heart-rate of moving body in real time using a frequency-based method
20020
20
Dynamic and static properties of the human knee joint in axial rotation
19971

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), Advanced MRI Techniques and Applications (12 papers), Muscle activation and electromyography studies (10 papers), AI in cancer detection (10 papers), Soft Robotics and Applications (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced X-ray and CT Imaging (9 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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