Xiaomeng Li

9.6k total citations · 4 hit papers
122 papers, 4.2k citations indexed

About

Xiaomeng Li is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Xiaomeng Li has authored 122 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 35 papers in Radiology, Nuclear Medicine and Imaging and 31 papers in Artificial Intelligence. Recurrent topics in Xiaomeng Li's work include Advanced Neural Network Applications (17 papers), Medical Image Segmentation Techniques (11 papers) and AI in cancer detection (9 papers). Xiaomeng Li is often cited by papers focused on Advanced Neural Network Applications (17 papers), Medical Image Segmentation Techniques (11 papers) and AI in cancer detection (9 papers). Xiaomeng Li collaborates with scholars based in China, Hong Kong and United States. Xiaomeng Li's co-authors include Pheng‐Ann Heng, Chi‐Wing Fu, Hao Chen, Xiaojuan Qi, Qi Dou, Lequan Yu, Lei Xing, Panshuo Li, Xiaowei Hu and Qi Zhou and has published in prestigious journals such as Nature Communications, Environmental Science & Technology and Scientific Reports.

In The Last Decade

Xiaomeng Li

95 papers receiving 4.1k citations

Hit Papers

H-DenseUNet: Hybrid Densely Connected UNet for Liver and ... 2018 2026 2020 2023 2018 2020 2019 2019 500 1000 1.5k

Peers

Xiaomeng Li
Comparison fields: 5 of 162
  • Radiology, Nuclear Medicine and Imaging 1.8k
  • Computer Vision and Pattern Recognition 1.8k
  • Artificial Intelligence 1.4k
  • Biomedical Engineering 644
  • Neurology 444
Replace Mingchen Gao with:
Mingchen Gao United States
Vijayan K. Asari United States
Tuan D. Pham Australia
Yong Xia China
Gustavo Carneiro Australia
V. Rajinikanth India
Hoo-Chang Shin United States
Md Zahangir Alom United States
María A. Zuluaga France
Ziyue Xu United States
Mingchen Gao United States View profile →
Citations per field, relative to Xiaomeng Li
Xiaomeng Li · 1×
Citations per year, relative to Xiaomeng Li
Xiaomeng Li · 1×

Countries citing papers authored by Xiaomeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaomeng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaomeng Li. A scholar is included among the top collaborators of Xiaomeng Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaomeng Li. Xiaomeng Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 5
4 0
5 0
6 0
7 2
8 2
9 3
10 2
11 4
12 7
13 32
14 8
15 14
16 11
17 2
18 39
19
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation breakdown →
343
20
CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading breakdown →
295

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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