Jixiang Guo

1.5k citations
72 papers · 999 indexed · h-index 17
Topics
Dental Radiography and Imaging (21 papers)Radiomics and Machine Learning in Medical Imaging (19 papers)Lung Cancer Diagnosis and Treatment (16 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessFuel

In The Last Decade

Jixiang Guo

61 papers receiving 970 citations

Peers

Jixiang Guo
Comparison fields: 5 of 100
  • Radiology, Nuclear Medicine and Imaging 534
  • Computer Vision and Pattern Recognition 258
  • Pulmonary and Respiratory Medicine 242
  • Artificial Intelligence 235
  • Biomedical Engineering 164
Replace Muthu Subash Kavitha with:
Muthu Subash Kavitha Japan
Jai Prashanth Rao Singapore
Kyu-Hwan Jung South Korea
Mohammad Hesam Hesamian Australia
Gabriel Chartrand Canada
Eugene Vorontsov Canada
Debdoot Sheet India
Mehdi Moradi United States
Yuchen Qiu United States
Zhennan Yan United States
Jixiang Guo relative to Muthu Subash Kavitha Japan Muthu Subash Kavitha's profile →
Citations per field
00.5×9.7×
Muthu Subash Kavitha · 1×
Citations per year

Countries citing papers authored by Jixiang Guo

Since Specialization
Citations

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

Fields of papers citing papers by Jixiang Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jixiang Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Jixiang Guo. A scholar is included among the top collaborators of Jixiang Guo 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 Jixiang Guo. Jixiang Guo 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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2 0
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5 0
6 0
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8 2
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11 12
12 0
13 7
14 2
15 8
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18 24
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20 3

About Jixiang Guo

Jixiang Guo is a scholar working on Oral Surgery, Radiology, Nuclear Medicine and Imaging and Orthodontics, having authored 72 papers that have together received 999 indexed citations. Recurring topics across this work include Dental Radiography and Imaging (21 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Lung Cancer Diagnosis and Treatment (16 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (534 citations), Health Informatics (26 citations) and Health Information Management (70 citations). Jixiang Guo has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yi Zhang, Xiuyuan Xu, Tao He, Chengdi Wang, Jie Zhong, Yuanyuan Chen, Zhentao Gao, Jie Li, Weimin Li and Jianyong Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Fuel.

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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