Maode Lai

4.7k citations
77 papers · 3.2k · h-index 28

Impact in

Papers in

Maode Lai

77 papers receiving 3.1k citations

Peers

Maode Lai
Comparison fields: 5 of 149
  • Oncology 882
  • Computer Vision and Pattern Recognition 620
  • Cancer Research 430
  • Artificial Intelligence 904
  • Radiology, Nuclear Medicine and Imaging 642
Replace Timo Gaiser with:
Timo Gaiser Germany
Shumpei Ishikawa Japan
Douglas J. Hartman United States
Shu Wang China
Mikael Lundin Finland
Cleo‐Aron Weis Germany
Michitaka Fujiwara Japan
Nina Linder Finland
Constantino Carlos Reyes‐Aldasoro United Kingdom
Niels Halama Germany
Maode Lai relative to Timo Gaiser Germany Timo Gaiser's profile →
Citations per field
00.5×1.5×2.1×
Timo Gaiser · 1×
Citations per year

Countries citing papers authored by Maode Lai

Since Specialization
Citations

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

Fields of papers citing papers by Maode Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017289
2 2014228
3 2018222
4 2014205
5 2009195
6 2009152
7 2015126
8 2015121
9 2017117
10 2008113
11 2020100
12 200777
13 201776
14 201672
15 200971
16 201871
17 201458
18 200956
19 200350
20 201543

About Maode Lai

Maode Lai is a scholar working on Oncology, Pathology and Forensic Medicine, Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 77 papers that have together received 3.2k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (18 papers), AI in cancer detection (16 papers), Colorectal Cancer Screening and Detection (11 papers), Digital Imaging for Blood Diseases (10 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Image Retrieval and Classification Techniques (8 papers), Colorectal Cancer Treatments and Studies (6 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Oncology (882 citations), Computer Vision and Pattern Recognition (620 citations), Cancer Research (430 citations), Artificial Intelligence (904 citations) and Radiology, Nuclear Medicine and Imaging (642 citations). Maode Lai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yan Xu, Eric Chang, Fengying Li, Enping Xu, Qiong Huang, Zhipeng Jia, Yuqing Ai, Bingjian Lü, Yubo Fan and Fangying Xu. Their work appears in journals such as IEEE Transactions on Medical Imaging, World Journal of Gastroenterology, Scientific Reports, Journal of Zhejiang University SCIENCE B and Carcinogenesis.

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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