Jue Jiang

1.9k citations
59 papers · 1.3k indexed · h-index 18
Topics
Radiomics and Machine Learning in Medical Imaging (26 papers)Advanced Radiotherapy Techniques (13 papers)Medical Imaging Techniques and Applications (9 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Jue Jiang

53 papers receiving 1.3k citations

Peers

Jue Jiang
Comparison fields: 5 of 119
  • Radiology, Nuclear Medicine and Imaging 658
  • Computer Vision and Pattern Recognition 349
  • Artificial Intelligence 343
  • Pulmonary and Respiratory Medicine 275
  • Radiation 174
Replace Wenjian Qin with:
Wenjian Qin China
Hidetaka Arimura Japan
Kelei He China
Aria Pezeshk United States
Ester Bonmati United Kingdom
Junjie Hu China
Lei Xiang China
Phillip Chlap Australia
Nico Karssemeijer Netherlands
Roger Trullo United States
Jue Jiang relative to Wenjian Qin China Wenjian Qin's profile →
Citations per field
00.5×1.5×2.2×
Wenjian Qin · 1×
Citations per year

Countries citing papers authored by Jue Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Jue Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jue Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Jue Jiang. A scholar is included among the top collaborators of Jue 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 Jue Jiang. Jue 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
#WorkIndexed citations
1 0
2 3
3 3
4 1
5 0
6 1
7 0
8 12
9 7
10 2
11 20
12 13
13 32
14 7
15 17
16 23
17 13
18 75
19 126
20
Contrast-enhanced Ultrasound in Nodular Goiter
1

About Jue Jiang

Jue Jiang is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Health Informatics, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (26 papers), Advanced Radiotherapy Techniques (13 papers) and Medical Imaging Techniques and Applications (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (658 citations), Radiation (174 citations) and Health Informatics (25 citations). Jue Jiang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Harini Veeraraghavan, Joseph O. Deasy, Yu‐Chi Hu, Neelam Tyagi, G Mageras, Andreas Rimner, Matthew D. Hellmann, Chia‐Ju Liu, Darragh Halpenny and Pengpeng Zhang. Their work appears in journals such as Molecular Cell, International Journal of Molecular Sciences and IEEE Access.

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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