Hanjing Kong

423 total citations
20 papers, 316 citations indexed

About

Hanjing Kong is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Nephrology. According to data from OpenAlex, Hanjing Kong has authored 20 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pulmonary and Respiratory Medicine and 4 papers in Nephrology. Recurrent topics in Hanjing Kong's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced MRI Techniques and Applications (6 papers) and MRI in cancer diagnosis (5 papers). Hanjing Kong is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced MRI Techniques and Applications (6 papers) and MRI in cancer diagnosis (5 papers). Hanjing Kong collaborates with scholars based in China, United Kingdom and Ethiopia. Hanjing Kong's co-authors include Gaorong Han, Qiang Chu, Xiang Li, Chao Fang, Guodong Cao, Xiangxi Meng, Yanye Lu, Kun Yang, Hongming Shan and Hongbin Han and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Advanced Science and Journal of Magnetic Resonance Imaging.

In The Last Decade

Hanjing Kong

19 papers receiving 314 citations

Peers

Hanjing Kong
Comparison fields: 5 of 69
  • Biomedical Engineering 156
  • Radiology, Nuclear Medicine and Imaging 112
  • Materials Chemistry 83
  • Computer Vision and Pattern Recognition 70
  • Biomaterials 50
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Adnan Bibic United States
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Qingsheng Peng China View profile →
Citations per field, relative to Hanjing Kong
Hanjing Kong · 1×
Citations per year, relative to Hanjing Kong
Hanjing Kong · 1×

Countries citing papers authored by Hanjing Kong

Since Specialization
Citations

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

Fields of papers citing papers by Hanjing Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanjing Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Hanjing Kong. A scholar is included among the top collaborators of Hanjing 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 Hanjing Kong. Hanjing Kong 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
# Work Indexed citations
1 0
2 3
3 8
4 10
5 2
6 1
7 111
8 1
9 109
10 22
11
Comparison diagnostic value of 18F-FDG PET/MRI and PET/CT in evaluation of pleural invasion in patient with non-small cell lung cancer
1
12 1
13 11
14 2
15 1
16 13
17 6
18 11
19 2
20 1

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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