Qianjun Jia

570 citations
32 papers · 380 · h-index 11

Impact in

Papers in

Qianjun Jia

30 papers receiving 377 citations

Peers

Qianjun Jia
Comparison fields: 5 of 62
  • Health Informatics 12
  • Radiology, Nuclear Medicine and Imaging 159
  • Otorhinolaryngology 18
  • Computer Vision and Pattern Recognition 64
  • Pulmonary and Respiratory Medicine 73
Replace Sarah Leclerc with:
Sarah Leclerc France
Xiangfei Chai China
Yihua He China
Martin Segeroth Switzerland
Joseph Bae United States
Su Yang South Korea
Pavan Annangi India
Fuk Tang Hong Kong
Archana Laroia United States
Luba Frank United States
Qianjun Jia relative to Sarah Leclerc France Sarah Leclerc's profile →
Citations per field
00.5×
Sarah Leclerc · 1×
Citations per year

Countries citing papers authored by Qianjun Jia

Since Specialization
Citations

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

Fields of papers citing papers by Qianjun Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Qianjun Jia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Qianjun Jia Line = papers co-authored together Qianjun Jia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201461
2 201941
3 201437
4 202128
5 202026
6 201723
7 202019
8 201614
9 202113
10 202312
11 201910
12 201810
13 201710
14 202010
15 20218
16 20228
17 20208
18 20217
19 20226
20 20245

About Qianjun Jia

Qianjun Jia is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Epidemiology, Computer Vision and Pattern Recognition and Surgery, having authored 32 papers that have together received 380 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (7 papers), Advanced X-ray and CT Imaging (4 papers), Aortic Disease and Treatment Approaches (3 papers), MRI in cancer diagnosis (3 papers), Medical Image Segmentation Techniques (3 papers), Retinal Imaging and Analysis (2 papers), Coronary Interventions and Diagnostics (2 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Health Informatics (12 citations), Radiology, Nuclear Medicine and Imaging (159 citations), Otorhinolaryngology (18 citations), Computer Vision and Pattern Recognition (64 citations) and Pulmonary and Respiratory Medicine (73 citations). Qianjun Jia has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Meiping Huang, Jian Zhuang, Xiaowei Xu, Haiyun Yuan, Changhong Liang, Yiyu Shi, Tianchen Wang, Wenbo Chen, Shuixing Zhang and Qianhui Qiu. Their work appears in journals such as European Radiology, Frontiers in Cardiovascular Medicine, ACM Journal on Emerging Technologies in Computing Systems, Journal of Computer Assisted Tomography and Energy Science & Engineering.

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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