Ming‐De Lu

7.3k citations
214 papers · 5.7k · 1 hit paper · h-index 42

Impact in

Papers in

Ming‐De Lu

209 papers receiving 5.6k citations

Ming‐De Lu's Hit Papers

Collaborative Enhancement of Consistency and Accuracy in US Diagnosis of Thyroid Nodules Using Large Language Models 2024 · 72 citations
720+1Years since publication204060

Peers

Ming‐De Lu
Comparison fields: 5 of 71
  • Hepatology 1.8k
  • Radiology, Nuclear Medicine and Imaging 957
  • Health Informatics 83
  • Pulmonary and Respiratory Medicine 339
  • Critical Care and Intensive Care Medicine 38
Replace Xiao-yan Xie with:
Xiao-yan Xie China
Aya Kamaya United States
Khaled M. Elsayes United States
Rita Golfieri Italy
Christian Stroszczynski Germany
Meghan G. Lubner United States
Hong Ding China
So Yeon Kim South Korea
Andrej P. Lyshchik United States
Min Woo Lee South Korea
Ming‐De Lu relative to Xiao-yan Xie China Xiao-yan Xie's profile →
Citations per field
00.5×1.6×
Xiao-yan Xie · 1×
Citations per year

Countries citing papers authored by Ming‐De Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐De Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐De Lu. 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 Ming‐De Lu. The network helps show where Ming‐De Lu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 214 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005203
2 2018162
3 2001161
4 2019150
5 2007147
6 2009142
7 2009139
8 2009111
9 2018104
10 200793
11 201091
12 201490
13 201587
14 200484
15 200582
16 201881
17 200673
18 200672
19
Collaborative Enhancement of Consistency and Accuracy in US Diagnosis of Thyroid Nodules Using Large Language Models
Hit paper breakdown →
202472
20 201471

About Ming‐De Lu

Ming‐De Lu is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine and Epidemiology, having authored 214 papers that have together received 5.7k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (75 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (15 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Ultrasound Imaging and Elastography (10 papers), Ultrasound and Hyperthermia Applications (4 papers), Renal cell carcinoma treatment (4 papers), Hepatitis C virus research (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Hepatology (1.8k citations), Radiology, Nuclear Medicine and Imaging (957 citations), Health Informatics (83 citations), Pulmonary and Respiratory Medicine (339 citations) and Critical Care and Intensive Care Medicine (38 citations). Ming‐De Lu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiao-yan Xie, Zuo‐Feng Xu, Guangjian Liu, Wei Wang, Hui‐Xiong Xu, Jinyu Liang, Li‐Da Chen, Ming Kuang, Ming Kuang and Yanling Zheng. Their work appears in journals such as European Radiology, Journal of Ultrasound in Medicine, Ultrasound in Medicine & Biology, Radiology and Abdominal Radiology.

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.

Explore authors with similar magnitude of impact