Jane Wang

681 citations
34 papers · 418 · h-index 11

Impact in

    • Radiomics and Machine Learning in Medical Imaging
    • MRI in cancer diagnosis
    • Infrared Thermography in Medicine
    • Medical Imaging Techniques and Applications
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Jane Wang

33 papers receiving 400 citations

Peers

Jane Wang
Comparison fields: 5 of 97
  • Radiology, Nuclear Medicine and Imaging 204
  • Hepatology 37
  • Artificial Intelligence 77
  • Aging 4
  • Cognitive Neuroscience 42
Replace Ke Qiu with:
Ke Qiu China
Ping Yin China
Hajime Sakamoto Japan
Kyu Sung Choi South Korea
Maciej Cebula Poland
Chenyang Liu China
Zohaib Salahuddin Netherlands
Kangneng Zhou China
Cheng Zhao China
Jane Wang relative to Ke Qiu China Ke Qiu's profile →
Citations per field
00.5×6.6×
Ke Qiu · 1×
Citations per year

Countries citing papers authored by Jane Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jane Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200853
2 201050
3 200446
4 202228
5 201725
6 200721
7 202021
8 200919
9 201319
10 201811
11 200310
12 20169
13 20239
14 20189
15 20109
16 20247
17 20107
18 20087
19 20156
20 20146

About Jane Wang

Jane Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine, Biomedical Engineering and Molecular Biology, having authored 34 papers that have together received 418 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (5 papers), AI in cancer detection (5 papers), Medical Imaging Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced MRI Techniques and Applications (3 papers), Infrared Thermography in Medicine (3 papers), Thermography and Photoacoustic Techniques (3 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (204 citations), Hepatology (37 citations), Artificial Intelligence (77 citations), Aging (4 citations) and Cognitive Neuroscience (42 citations). Jane Wang has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Tiffany Ting‐Fang Shih, Ruoh‐Fang Yen, Chen He, Chin‐Yu Chen, Yuk‐Ming Tsang, Li‐Tzong Chen, Tsang‐Wu Liu, Yuh‐Show Tsai, Ke-Cheng Chen and Yen‐Wen Wu. Their work appears in journals such as American Journal of Roentgenology, BioMedical Engineering OnLine, Sensors, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and JCO Clinical Cancer Informatics.

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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