MingDe Lin

5.4k citations
152 papers · 4.0k indexed · 1 hit paper · h-index 37

MingDe Lin

142 papers receiving 4.0k citations

Hit Papers

Deep learning for liver tumor diagnosis part I: developme...245201920262021202350100150200

Peers

MingDe Lin
Comparison fields: 5 of 135
  • Hepatology 1.7k
  • Radiology, Nuclear Medicine and Imaging 2.0k
  • Health Informatics 110
  • Gastroenterology 161
  • Pulmonary and Respiratory Medicine 925
Replace Daniele Regge with:
Daniele Regge Italy
Ijin Joo South Korea
Nathalie Lassau France
Changhong Liang China
Shi‐Ting Feng China
Aniek J.G. Even Netherlands
Binsheng Zhao United States
Zaiyi Liu China
Sebastian Sanduleanu Netherlands
Ruben T. H. M. Larue Netherlands
MingDe Lin relative to Daniele Regge Italy Daniele Regge's profile →
Citations per field
00.5×3.3×
Daniele Regge · 1×
Citations per year

Countries citing papers authored by MingDe Lin

Since Specialization
Citations

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

Fields of papers citing papers by MingDe Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20241
5 20240
6 202349
7 20227
8 20229
9 20217
10 202022
11 201625
12 201643
13 201625
14 201448
15 201422
16 20135
17 201238
18 200640
19 200433
20
Distribution patterns of inflammatory sinonasal diseases.
19982

About MingDe Lin

MingDe Lin is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Health Informatics, Neurology and Radiation, having authored 152 papers that have together received 4.0k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (72 papers), MRI in cancer diagnosis (44 papers), Radiomics and Machine Learning in Medical Imaging (44 papers), Medical Imaging Techniques and Applications (27 papers), Advanced MRI Techniques and Applications (18 papers), Renal cell carcinoma treatment (14 papers), Cancer, Hypoxia, and Metabolism (11 papers) and Advanced X-ray and CT Imaging (11 papers). The work is most often cited by research in Hepatology (1.7k citations), Radiology, Nuclear Medicine and Imaging (2.0k citations), Health Informatics (110 citations), Gastroenterology (161 citations) and Pulmonary and Respiratory Medicine (925 citations). MingDe Lin has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Jean-François H. Geschwind, Julius Chapiro, Lynn Jeanette Savic, Rafael Durán, Todd Schlachter, Vania Tacher, Alessandro Radaelli, James S. Duncan, Pramod Rao and Rüdiger Schernthaner. Their work appears in journals such as European Radiology, Journal of Vascular and Interventional Radiology, Radiology, CardioVascular and Interventional Radiology and Academic 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.

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