Lang Li

52 papers and 570 indexed citations i.

About

Lang Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Lang Li has authored 52 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 24 papers in Computer Vision and Pattern Recognition and 8 papers in Hardware and Architecture. Recurrent topics in Lang Li’s work include Cryptographic Implementations and Security (32 papers), Chaos-based Image/Signal Encryption (19 papers) and Coding theory and cryptography (18 papers). Lang Li is often cited by papers focused on Cryptographic Implementations and Security (32 papers), Chaos-based Image/Signal Encryption (19 papers) and Coding theory and cryptography (18 papers). Lang Li collaborates with scholars based in China, United States and Macao. Lang Li's co-authors include Botao Liu, Hui Wang, Li Hu, Hongyang Yan, Xiaozhang Liu, Yi Zou, Yimeng Zhou, Vladimir Koltchinskii, You Chen and Huan Sun and has published in prestigious journals such as The Plant Journal, IEEE Access and Information Sciences.

In The Last Decade

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

Fields of papers citing papers by Lang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lang Li

Since Specialization
Citations

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