Dongyang Du

402 citations
20 papers · 286 · h-index 9

Impact in

Papers in

Dongyang Du

20 papers receiving 282 citations

Peers

Dongyang Du
Comparison fields: 5 of 38
  • Radiology, Nuclear Medicine and Imaging 184
  • Otorhinolaryngology 34
  • Health Informatics 4
  • Pulmonary and Respiratory Medicine 51
  • Artificial Intelligence 33
Replace Laquan Li with:
Laquan Li China
Xudong Xue China
Jianrong Dai China
Marina Romanchikova United Kingdom
Valentin Oreiller Switzerland
Shaohan Yin China
Zhaoshuo Diao China
Ana Jiménez-Pastor Spain
Tassilo Wald Germany
Xiao Liang United States
Dongyang Du relative to Laquan Li China Laquan Li's profile →
Citations per field
00.5×3.8×
Laquan Li · 1×
Citations per year

Countries citing papers authored by Dongyang Du

Since Specialization
Citations

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

Fields of papers citing papers by Dongyang Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201964
2 201960
3 202044
4 202218
5 201717
6 202116
7 202315
8 202110
9 20208
10 20197
11 20227
12 20207
13 20253
14 20233
15 20242
16 20251
17 20221
18 20251
19 20201
20 20221

About Dongyang Du

Dongyang Du is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 20 papers that have together received 286 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Advanced X-ray and CT Imaging (3 papers), Medical Imaging Techniques and Applications (3 papers), Cardiac Imaging and Diagnostics (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Head and Neck Cancer Studies (1 paper), Sarcoma Diagnosis and Treatment (1 paper) and Vehicle License Plate Recognition (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (184 citations), Otorhinolaryngology (34 citations), Health Informatics (4 citations), Pulmonary and Respiratory Medicine (51 citations) and Artificial Intelligence (33 citations). Dongyang Du has collaborated with scholars based in China, Canada and Malaysia. Frequent co-authors include Wenbing Lv, Lijun Lu, Qianjin Feng, Hui Feng, Arman Rahmim, Qingyu Yuan, Wei Yang, Quanshi Wang, Jianhua Ma and Hubing Wu. Their work appears in journals such as Molecular Imaging and Biology, Frontiers in Oncology, Physics in Medicine and Biology, Journal of Nuclear Cardiology and IEEE Access.

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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