Jichen Yang

14 papers receiving 471 citations

Jichen Yang's Hit Papers

Segment anything model for medical image analysis: An experimental study 2023 · 342 citations
3420+1+2Years since publication100200300

Peers

Jichen Yang
Comparison fields: 5 of 103
  • Health Informatics 37
  • Computer Vision and Pattern Recognition 145
  • Radiology, Nuclear Medicine and Imaging 155
  • Neurology 37
  • Artificial Intelligence 107
Replace Yan Chai Hum with:
Yan Chai Hum Malaysia
Dexing Kong China
Phillip Chlap Australia
Francesco Calivá United States
Gengyan Zhao United States
Mohd Ezane Aziz Malaysia
Zhennan Yan United States
D. R. Sarvamangala India
Kim Eun Hee Germany
Xinglong Wu China
Jichen Yang relative to Yan Chai Hum Malaysia Yan Chai Hum's profile →
Citations per field
00.5×1.5×
Yan Chai Hum · 1×
Citations per year

Countries citing papers authored by Jichen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jichen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jichen Yang, 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 Jichen Yang Line = papers co-authored together Jichen Yang links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Segment anything model for medical image analysis: An experimental study
Hit paper breakdown →
2023342
2 202169
3 202220
4 201517
5 20217
6 20255
7 20235
8 20234
9 20244
10 20243
11 20132
12 20161
13 20201
14 20161
15 20260
16 20240
17
Lip Motion and Voice Consistency Algorithm Based on Fusing Spatiotemporal Correlation Degree
20140
18 20100
19 20240

About Jichen Yang

Jichen Yang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 481 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Music and Audio Processing (2 papers), Advanced Neural Network Applications (2 papers), Speech and Audio Processing (2 papers), Remote-Sensing Image Classification (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Nonlinear Photonic Systems (1 paper). The work is most often cited by research in Health Informatics (37 citations), Computer Vision and Pattern Recognition (145 citations), Radiology, Nuclear Medicine and Imaging (155 citations), Neurology (37 citations) and Artificial Intelligence (107 citations). Jichen Yang has collaborated with scholars based in United States and China. Frequent co-authors include Maciej A. Mazurowski, Haoyu Dong, Hanxue Gu, Nicholas Konz, Yixin Zhang, Nianyi Li, J. M. O’Donnell, Stephen A. Ramsey, William A. Jiranek and Richard C. Mather. Their work appears in journals such as Bioinformatics, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, American Journal of Roentgenology, IEEE Transactions on Biomedical Engineering and Computers in Biology and Medicine.

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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