Maomao Li

872 total citations · 1 hit paper
25 papers, 517 citations indexed

About

Maomao Li is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Aerospace Engineering. According to data from OpenAlex, Maomao Li has authored 25 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Aerospace Engineering. Recurrent topics in Maomao Li's work include Generative Adversarial Networks and Image Synthesis (4 papers), Guidance and Control Systems (3 papers) and Advanced Vision and Imaging (3 papers). Maomao Li is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (4 papers), Guidance and Control Systems (3 papers) and Advanced Vision and Imaging (3 papers). Maomao Li collaborates with scholars based in China, United States and Hong Kong. Maomao Li's co-authors include Chun Yuan, Zhihui Lin, Zhuobin Zheng, Yangyang Cheng, Jun Hu, Huai‐Ning Wu, Lei Guo, Tianyu Yang, Zhian Liu and Yongwei Nie and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Fuel.

In The Last Decade

Maomao Li

22 papers receiving 506 citations

Hit Papers

Self-Attention ConvLSTM for Spatiotemporal Prediction 2020 2026 2022 2024 2020 50 100 150 200

Peers

Maomao Li
Comparison fields: 5 of 97
  • Computer Vision and Pattern Recognition 189
  • Artificial Intelligence 103
  • Atmospheric Science 71
  • Global and Planetary Change 61
  • Control and Systems Engineering 60
Replace Zhihui Lin with:
Zhihui Lin China
Hongyan Li China
Chengfan Li China
Philippe Xu France
Xiyan Sun China
Laurent Valentin Jospin Switzerland
Hongyu Zhu China
Pla Uni China
Zhihui Lin China View profile →
Citations per field, relative to Maomao Li
Maomao Li · 1×
Citations per year, relative to Maomao Li
Maomao Li · 1×

Countries citing papers authored by Maomao Li

Since Specialization
Citations

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

Fields of papers citing papers by Maomao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maomao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Maomao Li. A scholar is included among the top collaborators of Maomao 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 Maomao Li. Maomao 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 6
2 0
3 1
4 1
5 1
6 1
7 33
8 36
9 35
10 9
11 1
12 0
13 9
14
Self-Attention ConvLSTM for Spatiotemporal Prediction breakdown →
248
15 0
16 12
17 5
18
Clinical significance of BCL11A expression in ER-negative and PR-negative endometrial carcinoma.
1
19 35
20
Mars entry guidance law design with neural network based HJB approach
6

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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