Yifan Jiang

532 citations
21 papers · 310 indexed · h-index 8
Topics
Radiomics and Machine Learning in Medical Imaging (5 papers)COVID-19 diagnosis using AI (5 papers)Human Pose and Action Recognition (4 papers)

In The Last Decade

Yifan Jiang

20 papers receiving 298 citations

Peers

Yifan Jiang
Comparison fields: 5 of 72
  • Radiology, Nuclear Medicine and Imaging 120
  • Artificial Intelligence 109
  • Computer Vision and Pattern Recognition 100
  • Control and Systems Engineering 48
  • Aerospace Engineering 26
Replace Yuming Jiang with:
Yuming Jiang China
Tahereh Hassanzadeh Australia
Qianqian Du China
Donglin Di China
Nitin Singhal South Korea
Qingji Guan China
Zhineng Chen China
Dongnan Liu Australia
Lechao Cheng China
Kristoffer Wickstrøm Norway
Yifan Jiang relative to Yuming Jiang China Yuming Jiang's profile →
Citations per field
00.5×3.4×
Yuming Jiang · 1×
Citations per year

Countries citing papers authored by Yifan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Yifan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yifan Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Yifan Jiang. A scholar is included among the top collaborators of Yifan 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 Yifan Jiang. Yifan 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 2
2 1
3 1
4 3
5 0
6 6
7 3
8 6
9 18
10 1
11 27
12 2
13 10
14 118
15 27
16 6
17
StrokeNet: A Neural Painting Environment.
22
18 4
19 7
20 38

About Yifan Jiang

Yifan Jiang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Human-Computer Interaction, having authored 21 papers that have together received 310 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), COVID-19 diagnosis using AI (5 papers) and Human Pose and Action Recognition (4 papers). The work is most often cited by research in Health Informatics (18 citations), Radiology, Nuclear Medicine and Imaging (120 citations) and Computer Vision and Pattern Recognition (100 citations). Yifan Jiang has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Hanseok Ko, Han Chen, Murray H. Loew, Chaoyang Dong, Yingxin Zhang, Qing Wang, Bonhwa Ku, Ding-jiang Huang, Zhihui Li and David K. Han. Their work appears in journals such as Scientific Reports, IEEE Access and IEEE Transactions on Biomedical 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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