Yajia Gu

560 citations
17 papers · 296 indexed · h-index 11
Topics
Radiomics and Machine Learning in Medical Imaging (7 papers)MRI in cancer diagnosis (5 papers)Medical Imaging Techniques and Applications (2 papers)

In The Last Decade

Yajia Gu

16 papers receiving 292 citations

Peers

Yajia Gu
Comparison fields: 5 of 59
  • Radiology, Nuclear Medicine and Imaging 183
  • Oncology 100
  • Pulmonary and Respiratory Medicine 75
  • Artificial Intelligence 47
  • Pathology and Forensic Medicine 46
Replace Filiz Çelebi with:
Filiz Çelebi Türkiye
Jennifer Glendenning United Kingdom
Minyi Cheng China
Hai-Yun Yang China
Jingming Ye China
Davide Balmativola Italy
Valentina Magri Italy
Jing Hang China
Jason C. Ye United States
Yiwei Tong China
Yajia Gu relative to Filiz Çelebi Türkiye Filiz Çelebi's profile →
Citations per field
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Filiz Çelebi · 1×
Citations per year

Countries citing papers authored by Yajia Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yajia Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yajia Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Yajia Gu. A scholar is included among the top collaborators of Yajia Gu 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 Yajia Gu. Yajia Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 10
3 58
4 12
5 49
6 12
7 11
8 3
9 25
10 23
11 20
12 13
13 45
14 1
15
[Functional motor innervation of brachial plexus roots: an intraoperative electrophysiological study].
8
16
[An experimental study of the treatment of root avulsion of brachial plexus using contralateral C7 nerve neurotization (nerve transfer)].
5
17 1

About Yajia Gu

Yajia Gu is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 296 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), MRI in cancer diagnosis (5 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (183 citations), Oncology (100 citations) and Health Informatics (4 citations). Yajia Gu has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Chao You, Peng Wang, Haoran Liu, Xiaoyun Shen, Rui Li, Jian Zhang, Joyce O’Shaughnessy, Xichun Hu, Dongmei Ji and Guan-Hua Su. Their work appears in journals such as Cancer Research, Radiology and Clinical Cancer Research.

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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