Dengbin Wang

1.3k citations
48 papers · 976 · h-index 20

Impact in

Papers in

    • MRI in cancer diagnosis 12
    • Radiomics and Machine Learning in Medical Imaging 6
    • Advanced MRI Techniques and Applications 5
    • Advanced Neuroimaging Techniques and Applications 2
    • Hepatocellular Carcinoma Treatment and Prognosis 3

Dengbin Wang

48 papers receiving 954 citations

Peers

Dengbin Wang
Comparison fields: 5 of 68
  • Radiology, Nuclear Medicine and Imaging 463
  • Hepatology 71
  • Health Informatics 14
  • Clinical Biochemistry 18
  • Drug Discovery 1
Replace Bing Wu with:
Bing Wu China
Bumwoo Park South Korea
Yanji Luo China
Barry McCook United States
Aman Khurana United States
Chunhong Hu China
Junlin Zhou China
Amarnath Jena India
Jialiang Ren China
Rutger M. Schols Netherlands
Dengbin Wang relative to Bing Wu China Bing Wu's profile →
Citations per field
00.5×2×4×5.1×
Bing Wu · 1×
Citations per year

Countries citing papers authored by Dengbin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dengbin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202091
2 201875
3 202169
4 202039
5 201934
6 201333
7 201633
8 201031
9 201029
10 200928
11 202128
12 201627
13 201526
14 201826
15 201826
16 200825
17 202224
18 201723
19 202021
20 201420

About Dengbin Wang

Dengbin Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology, Ophthalmology, Reproductive Medicine and Surgery, having authored 48 papers that have together received 976 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (12 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced MRI Techniques and Applications (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Characterization and Applications of Magnetic Nanoparticles (3 papers), AI in cancer detection (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (463 citations), Hepatology (71 citations), Health Informatics (14 citations), Clinical Biochemistry (18 citations) and Drug Discovery (1 citation). Dengbin Wang has collaborated with scholars based in China and United States. Frequent co-authors include Caiyuan Zhang, Yanfen Cui, Huanhuan Liu, Qingbing Wang, Jinning Li, Huanhuan Liu, Hui Wen Zheng, Chenqing Wu, Lijun Wang and Shaofeng Duan. Their work appears in journals such as European Radiology, Oncotarget, World Journal of Surgical Oncology, Scientific Reports and International Journal of Nanomedicine.

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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