Yingqian Ge

467 citations
22 papers · 330 indexed · h-index 12
Topics
Radiomics and Machine Learning in Medical Imaging (15 papers)Advanced X-ray and CT Imaging (7 papers)Gastric Cancer Management and Outcomes (6 papers)

In The Last Decade

Yingqian Ge

21 papers receiving 324 citations

Peers

Yingqian Ge
Comparison fields: 5 of 35
  • Radiology, Nuclear Medicine and Imaging 274
  • Pulmonary and Respiratory Medicine 137
  • Biomedical Engineering 119
  • Oncology 61
  • Endocrinology, Diabetes and Metabolism 40
Replace Carsten Ammitzbøl Lauridsen with:
Carsten Ammitzbøl Lauridsen Denmark
Gabin Yun South Korea
Fuping Zhu China
Haiyan Du China
Reza Kaboteh Sweden
Louis Deprez Belgium
Gumuyang Zhang China
Denis Danthine Belgium
Zhuangsheng Liu China
C. Daniel Johnson United States
Yingqian Ge relative to Carsten Ammitzbøl Lauridsen Denmark Carsten Ammitzbøl Lauridsen's profile →
Citations per field
00.5×2.5×
Carsten Ammitzbøl Lauridsen · 1×
Citations per year

Countries citing papers authored by Yingqian Ge

Since Specialization
Citations

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

Fields of papers citing papers by Yingqian Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingqian Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Yingqian Ge. A scholar is included among the top collaborators of Yingqian Ge 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 Yingqian Ge. Yingqian Ge 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 0
2 7
3 22
4 3
5 9
6 21
7 14
8 21
9 5
10 6
11 61
12 25
13 37
14 4
15 11
16 13
17 14
18 25
19 8
20 1

About Yingqian Ge

Yingqian Ge is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology, having authored 22 papers that have together received 330 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (15 papers), Advanced X-ray and CT Imaging (7 papers) and Gastric Cancer Management and Outcomes (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (274 citations), Health Informatics (13 citations) and Pulmonary and Respiratory Medicine (137 citations). Yingqian Ge has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhihan Xu, Guo‐Yi Su, Yan Zhou, Meiping Shen, Xiao‐Quan Xu, Hao Hu, Yan Si, Feiyun Wu, Bin Yang and Fuhua Yan. Their work appears in journals such as Radiology, American Journal of Neuroradiology and European Radiology.

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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