Daiwei Han

472 citations
19 papers · 301 · h-index 8

Impact in

Papers in

Daiwei Han

14 papers receiving 287 citations

Peers

Daiwei Han
Comparison fields: 5 of 41
  • Radiology, Nuclear Medicine and Imaging 220
  • Pulmonary and Respiratory Medicine 232
  • Health Informatics 7
  • Health Information Management 11
  • Neurology 12
Replace Hwa‐Yen Chiu with:
Hwa‐Yen Chiu Taiwan
Yingpu Cui China
Jingchen Ma China
Florian Michallek Germany
Fatemeh Zabihollahy Canada
Xinpeng Xie China
Carsten Ammitzbøl Lauridsen Denmark
Rita Simões Netherlands
Wuchao Li China
Daiwei Han relative to Hwa‐Yen Chiu Taiwan Hwa‐Yen Chiu's profile →
Citations per field
00.5×12×
Hwa‐Yen Chiu · 1×
Citations per year

Countries citing papers authored by Daiwei Han

Since Specialization
Citations

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

Fields of papers citing papers by Daiwei Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2021125
2 201760
3 201737
4 201918
5 201816
6 201913
7 202013
8 20207
9 20244
10 20202
11 20242
12 20232
13 20201
14 20241
15 20240
16 20250
17 20250
18 20250
19 20250

About Daiwei Han

Daiwei Han is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 301 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (16 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Lung Cancer Treatments and Mutations (10 papers), Medical Imaging Techniques and Applications (3 papers), Radiation Dose and Imaging (1 paper), COVID-19 diagnosis using AI (1 paper), Pleural and Pulmonary Diseases (1 paper) and Mechanical stress and fatigue analysis (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (220 citations), Pulmonary and Respiratory Medicine (232 citations), Health Informatics (7 citations), Health Information Management (11 citations) and Neurology (12 citations). Daiwei Han has collaborated with scholars based in Netherlands, China and Italy. Frequent co-authors include Matthijs Oudkerk, Marjolein A. Heuvelmans, Mieneke Rook, Monique D. Dorrius, Rozemarijn Vliegenthart, Peter M. A. van Ooijen, Sarim Ather, Heiko Peschl, L. Pickup and Claus Peter Heußel. Their work appears in journals such as European Journal of Cancer, European Journal of Radiology, Translational Lung Cancer Research, British Journal of Radiology and Clinical Lung Cancer.

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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