Xinming Li

1.2k total citations · 2 hit papers
57 papers, 741 citations indexed

About

Xinming Li is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Xinming Li has authored 57 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Control and Systems Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Xinming Li's work include Soft Robotics and Applications (8 papers), Remote-Sensing Image Classification (6 papers) and Advanced Neural Network Applications (5 papers). Xinming Li is often cited by papers focused on Soft Robotics and Applications (8 papers), Remote-Sensing Image Classification (6 papers) and Advanced Neural Network Applications (5 papers). Xinming Li collaborates with scholars based in China, United States and Japan. Xinming Li's co-authors include Omrane Guedhami, Yuejiao Duan, Allen N. Berger, Haoran Li, Sadok El Ghoul, Narjess Boubakri, Jiachi Yao, Meng Li, Yanxue Wang and Shuxiang Guo and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of Business Ethics and Sensors.

In The Last Decade

Xinming Li

49 papers receiving 714 citations

Hit Papers

Bank systemic risk around COVID-19: A cross-country analysis 2021 2026 2022 2024 2021 2024 50 100 150

Peers

Xinming Li
Comparison fields: 5 of 108
  • Finance 246
  • Economics and Econometrics 233
  • Accounting 207
  • Control and Systems Engineering 121
  • Computer Vision and Pattern Recognition 78
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Yu Lei China View profile →
Citations per field, relative to Xinming Li
Xinming Li · 1×
Citations per year, relative to Xinming Li
Xinming Li · 1×

Countries citing papers authored by Xinming Li

Since Specialization
Citations

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

Fields of papers citing papers by Xinming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinming Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xinming Li. A scholar is included among the top collaborators of Xinming 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 Xinming Li. Xinming 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 0
2 0
3 0
4 4
5 1
6 11
7 3
8 20
9 6
10 4
11 6
12 1
13 1
14 4
15 15
16 30
17
Bank systemic risk around COVID-19: A cross-country analysis breakdown →
151
18 88
19
Chief data officer (CDO) role and responsibility analysis
4
20 0

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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