MingDe Lin

5.5k citations
157 papers · 4.2k · 1 hit paper · h-index 37

Impact in

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 63
    • Radiomics and Machine Learning in Medical Imaging 27
    • MRI in cancer diagnosis 20
    • Medical Imaging Techniques and Applications 19
    • Advanced MRI Techniques and Applications 12

MingDe Lin

146 papers receiving 4.2k citations

MingDe Lin's Hit Papers

Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI 2019 · 262 citations
2620+2+4Years since publication50100150200250

Peers

MingDe Lin
Comparison fields: 5 of 125
  • Hepatology 1.5k
  • Health Informatics 110
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Gastroenterology 164
  • Pulmonary and Respiratory Medicine 530
Replace Zaiyi Liu with:
Zaiyi Liu China
Changhong Liang China
Daniele Regge Italy
Roberta Fusco Italy
Julius Chapiro United States
Shi‐Ting Feng China
Spencer C. Behr United States
Sebastian Sanduleanu Netherlands
Binsheng Zhao United States
Janita E. van Timmeren Netherlands
MingDe Lin relative to Zaiyi Liu China Zaiyi Liu's profile →
Citations per field
00.5×3.1×
Zaiyi Liu · 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-authors

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

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI
Hit paper breakdown →
2019262
2 2010167
3 2018140
4 2015138
5 2019126
6 2013120
7 201593
8 201492
9 201991
10 201291
11 202088
12 201285
13 201483
14 201278
15 201577
16 201276
17 201167
18 202066
19 201662
20 202360

About MingDe Lin

MingDe Lin is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine and Surgery, having authored 157 papers that have together received 4.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (63 papers), Radiomics and Machine Learning in Medical Imaging (27 papers), MRI in cancer diagnosis (20 papers), Medical Imaging Techniques and Applications (19 papers), Advanced MRI Techniques and Applications (12 papers), Brain Tumor Detection and Classification (7 papers), Advanced Radiotherapy Techniques (6 papers) and Advanced X-ray and CT Imaging (6 papers). The work is most often cited by research in Hepatology (1.5k citations), Health Informatics (110 citations), Radiology, Nuclear Medicine and Imaging (1.3k citations), Gastroenterology (164 citations) and Pulmonary and Respiratory Medicine (530 citations). MingDe Lin has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Julius Chapiro, Jean-François H. Geschwind, Lynn Jeanette Savic, Rafael Durán, Todd Schlachter, Vania Tacher, James S. Duncan, Alessandro Radaelli, Pramod Rao and Isabel Schobert. 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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