Lin Teng

79 papers and 2.2k indexed citations i.

About

Lin Teng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Lin Teng has authored 79 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 14 papers in Computational Theory and Mathematics. Recurrent topics in Lin Teng’s work include Chaos-based Image/Signal Encryption (51 papers), Advanced Steganography and Watermarking Techniques (37 papers) and Cellular Automata and Applications (11 papers). Lin Teng is often cited by papers focused on Chaos-based Image/Signal Encryption (51 papers), Advanced Steganography and Watermarking Techniques (37 papers) and Cellular Automata and Applications (11 papers). Lin Teng collaborates with scholars based in China, United States and Australia. Lin Teng's co-authors include Xingyuan Wang, Xue Qin, Xingyuan Wang, Yongjin Xian, Robert Abel, Lingle Wang, Juan Meng, Xiukun Wang, Feifei Yang and Yujie Wu and has published in prestigious journals such as The Journal of Chemical Physics, International Journal of Hydrogen Energy and Journal of Computational Chemistry.

In The Last Decade

Co-authorship network of co-authors of Lin Teng i

Fields of papers citing papers by Lin Teng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lin Teng

Since Specialization
Citations

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