Dongming Han

554 citations
30 papers · 370 · h-index 12

Impact in

    • MRI in cancer diagnosis
    • Radiomics and Machine Learning in Medical Imaging
    • Advanced MRI Techniques and Applications
    • Advanced Neuroimaging Techniques and Applications
    • Medical Imaging Techniques and Applications
    • Endometrial and Cervical Cancer Treatments

Papers in

Dongming Han

28 papers receiving 369 citations

Peers

Dongming Han
Comparison fields: 5 of 41
  • Radiology, Nuclear Medicine and Imaging 289
  • Obstetrics and Gynecology 95
  • Reproductive Medicine 35
  • Hepatology 19
  • Materials Chemistry 108
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S M Todd United Kingdom
Jannis Radeleff Germany
Amandeep Taggar Canada
Jo‐Chi Jao Taiwan
Yasushi Domeki Japan
Hiroyoshi Isoda Japan
Kim S. de Valk Netherlands
Conrado Pla Canada
Mihaela Rata United Kingdom
Georgios Ioannidis Greece
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Citations per year

Countries citing papers authored by Dongming Han

Since Specialization
Citations

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

Fields of papers citing papers by Dongming Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202039
2 202037
3 201933
4 202133
5 202027
6 201920
7 202119
8 201817
9 202016
10 202116
11 202014
12 202012
13 202111
14 202211
15 201110
16 20239
17 20228
18 20208
19 20178
20 20136

About Dongming Han

Dongming Han is a scholar working on Radiology, Nuclear Medicine and Imaging, Materials Chemistry, Pulmonary and Respiratory Medicine, Obstetrics and Gynecology and Surgery, having authored 30 papers that have together received 370 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (18 papers), Lanthanide and Transition Metal Complexes (12 papers), Advanced MRI Techniques and Applications (7 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Endometrial and Cervical Cancer Treatments (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Colorectal Cancer Surgical Treatments (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (289 citations), Obstetrics and Gynecology (95 citations), Reproductive Medicine (35 citations), Hepatology (19 citations) and Materials Chemistry (108 citations). Dongming Han has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Kaiyu Wang, Nan Meng, Xuejia Wang, Jing Sun, Kaiyu Wang, Ruifang Yan, Wenjun Liu, Baolin Wu, Jie Shang and Feng-Mei Zhou. Their work appears in journals such as Journal of Magnetic Resonance Imaging, European Radiology, Frontiers in Oncology, BMC Cancer and Insights into Imaging.

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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