Siming Li

9 papers and 685 indexed citations i.

About

Siming Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Siming Li has authored 9 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Siming Li’s work include Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Siming Li is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Siming Li collaborates with scholars based in China and United States. Siming Li's co-authors include Girish Kulkarni, Tamara L. Berg, Yejin Choi, Alexander C. Berg, Vicente Ordóñez, Wenjun Zhou, Xianfeng Gu, Jie Gao, Chaoyang Chen and Zhifeng Qiu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Differential Equations and IEEE Transactions on Mobile Computing.

In The Last Decade

Co-authorship network of co-authors of Siming Li i

Fields of papers citing papers by Siming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Siming Li

Since Specialization
Citations

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

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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2025