Ke Zhang

2.2k citations
114 papers · 1.6k · h-index 18

Impact in

    • Sirtuins and Resveratrol in Medicine
    • Advanced MRI Techniques and Applications
    • Medical Imaging Techniques and Applications
    • MRI in cancer diagnosis
    • Advanced Neuroimaging Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging

Papers in

Ke Zhang

105 papers receiving 1.6k citations

Peers

Ke Zhang
Comparison fields: 5 of 153
  • Geriatrics and Gerontology 95
  • Radiology, Nuclear Medicine and Imaging 426
  • Genetics 113
  • Hepatology 76
  • Oncology 244
Replace Seung Hwan Moon with:
Seung Hwan Moon South Korea
Mark Carpenter United States
Amit Garg United States
Sijian Wang United States
Moon‐Hyoung Lee South Korea
Andreas Schäfer Germany
Cong Wang China
Claudio Brunelli Italy
Xiaoyan Jiang China
Namsik Chung South Korea
Ke Zhang relative to Seung Hwan Moon South Korea Seung Hwan Moon's profile →
Citations per field
00.5×1.5×1.9×
Seung Hwan Moon · 1×
Citations per year

Countries citing papers authored by Ke Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ke Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012176
2 2010163
3 2009111
4 2014107
5 201495
6 201367
7 201860
8 201256
9 200954
10 202030
11 201029
12 202325
13 201724
14 202223
15 201822
16 199321
17 201719
18 201718
19 201117
20 201316

About Ke Zhang

Ke Zhang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computational Mechanics, Surgery and Cardiology and Cardiovascular Medicine, having authored 114 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (25 papers), MRI in cancer diagnosis (13 papers), Atomic and Subatomic Physics Research (10 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Imaging Techniques and Applications (6 papers), Lung Cancer Diagnosis and Treatment (6 papers) and Functional Brain Connectivity Studies (5 papers). The work is most often cited by research in Geriatrics and Gerontology (95 citations), Radiology, Nuclear Medicine and Imaging (426 citations), Genetics (113 citations), Hepatology (76 citations) and Oncology (244 citations). Ke Zhang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include N. Jon Shah, Wenyi Qin, Weizhu Zhu, George E. Rottinghaus, Edward R. Sauter, Hans Herzog, Heinz H. Coenen, Christian Filß, Xu Ma and Zhizhong Ma. Their work appears in journals such as PLoS ONE, Magnetic Resonance Imaging, NMR in Biomedicine, Journal of Magnetic Resonance 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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