Qingcong Kong

512 total citations
19 papers, 328 citations indexed

About

Qingcong Kong is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Qingcong Kong has authored 19 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Cancer Research and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Qingcong Kong's work include MRI in cancer diagnosis (12 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Breast Cancer Treatment Studies (4 papers). Qingcong Kong is often cited by papers focused on MRI in cancer diagnosis (12 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Breast Cancer Treatment Studies (4 papers). Qingcong Kong collaborates with scholars based in China and United States. Qingcong Kong's co-authors include Yeqing Zhu, Zhuang Kang, Zhenzhen Liu, Jin Wang, Li Huang, Wenjie Tang, Yuan Guo, Yuhang Pan, Yi Jin and Dayue Tong and has published in prestigious journals such as Radiology, Frontiers in Immunology and American Journal of Roentgenology.

In The Last Decade

Qingcong Kong

18 papers receiving 326 citations

Peers

Qingcong Kong
Comparison fields: 5 of 37
  • Surgery 129
  • Radiology, Nuclear Medicine and Imaging 129
  • Cancer Research 83
  • Pulmonary and Respiratory Medicine 71
  • Molecular Biology 57
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Pierluigi Bonfili Italy
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Shinya Maita Japan
Naomi Livni United Kingdom
Lu Wen China
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Citations per field, relative to Qingcong Kong
Qingcong Kong · 1×
Citations per year, relative to Qingcong Kong
Qingcong Kong · 1×

Countries citing papers authored by Qingcong Kong

Since Specialization
Citations

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

Fields of papers citing papers by Qingcong Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingcong Kong

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 1
3 4
4 3
5 6
6 5
7 7
8 2
9 10
10 20
11 32
12 17
13 14
14 62
15 18
16 108
17 15
18
[Using 1H-MRS to evaluate the effects of warm ischemia reperfusion injury on the regeneration of hepatic cells in orthotopic transplanted livers in rats].
2
19
[The application of spiral CT in diagnosing the otitis media with cholesteatoma].
2

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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