Xiaojun Jiang

581 total citations
36 papers, 435 citations indexed

About

Xiaojun Jiang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, Xiaojun Jiang has authored 36 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Biomedical Engineering and 9 papers in Radiation. Recurrent topics in Xiaojun Jiang's work include Advanced Radiotherapy Techniques (9 papers), Medical Imaging Techniques and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Xiaojun Jiang is often cited by papers focused on Advanced Radiotherapy Techniques (9 papers), Medical Imaging Techniques and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Xiaojun Jiang collaborates with scholars based in United States, China and France. Xiaojun Jiang's co-authors include Xiaofeng Yang, Walter J. Curran, Yang Lei, Tonghe Wang, Hui Huang, Yingzi Liu, Jun Wang, Long Zhang, Guangcheng Yang and Bing Gao and has published in prestigious journals such as Journal of Clinical Oncology, Nano Energy and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Xiaojun Jiang

34 papers receiving 424 citations

Peers

Xiaojun Jiang
Comparison fields: 5 of 68
  • Radiology, Nuclear Medicine and Imaging 174
  • Radiation 109
  • Biomedical Engineering 102
  • Mechanics of Materials 94
  • Pulmonary and Respiratory Medicine 77
Replace Jianqi Sun with:
Jianqi Sun China
Zhikai Liu China
D. L. Hykes United States
Joonsang Lee United States
Kyle Champley United States
Shirô Watanabe Japan
Tsuicheng Chiu United States
Hans Peter Meinzer Germany
José A. Bencomo United States
Lucian Gheorghe Gruionu Romania
Jianqi Sun China View profile →
Citations per field, relative to Xiaojun Jiang
Xiaojun Jiang · 1×
Citations per year, relative to Xiaojun Jiang
Xiaojun Jiang · 1×

Countries citing papers authored by Xiaojun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojun Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojun Jiang. A scholar is included among the top collaborators of Xiaojun Jiang 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 Xiaojun Jiang. Xiaojun Jiang 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 1
2 1
3 4
4 36
5 2
6 32
7 13
8 10
9 32
10 17
11 9
12 3
13
[From Grid Cells to Place Cells:A Gauss Distribution Activation Function Model].
2
14 91
15
Duodenal gangliocytic paraganglioma: report of two cases and review of literature.
9
16 5
17 13
18 12
19 16
20 0

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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