T. Liu

781 total citations
4 papers, 6 citations indexed

About

T. Liu is a scholar working on Computer Networks and Communications, Civil and Structural Engineering and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, T. Liu has authored 4 papers receiving a total of 6 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Networks and Communications, 1 paper in Civil and Structural Engineering and 1 paper in Ecology, Evolution, Behavior and Systematics. Recurrent topics in T. Liu's work include Remote Sensing and Land Use (1 paper), Image and Signal Denoising Methods (1 paper) and Atmospheric aerosols and clouds (1 paper). T. Liu is often cited by papers focused on Remote Sensing and Land Use (1 paper), Image and Signal Denoising Methods (1 paper) and Atmospheric aerosols and clouds (1 paper). T. Liu collaborates with scholars based in China. T. Liu's co-authors include Yansong Song, Wenyi Hu, Deyou Zhang, Dawei Wang, Rong Liu, Lei Zhang, Bo Zhang, Zonglin Liang, Mingxu Piao and Lei Zhang and has published in prestigious journals such as Optics Communications, Optics and Lasers in Engineering and Optics & Laser Technology.

In The Last Decade

T. Liu

3 papers receiving 6 citations

Peers

T. Liu
H. Kim South Korea
C. D. Fu China
Z. Liu China
T. Y. Qi China
Y. P. Guo China
Y. Zhou China
C. Geng China
H. Kim South Korea
T. Liu
Citations per year, relative to T. Liu T. Liu (= 1×) peers H. Kim

Countries citing papers authored by T. Liu

Since Specialization
Citations

This map shows the geographic impact of T. Liu'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 T. Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Liu more than expected).

Fields of papers citing papers by T. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Liu

This figure shows the co-authorship network connecting the top 25 collaborators of T. Liu. A scholar is included among the top collaborators of T. Liu 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 T. Liu. T. Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Zhang, Lei, Yansong Song, Zonglin Liang, et al.. (2025). Narcissus correction algorithm based on Butterworth hybrid mixture model. Optics & Laser Technology. 184. 112417–112417. 2 indexed citations
3.
Wang, Yanbo, Yansong Song, Mingxu Piao, et al.. (2024). Long-wave infrared multi-spectral filter arrays based on surface plasma polaritons. Optics Communications. 575. 131282–131282. 2 indexed citations
4.
Song, Yansong, Bo Zhang, Zonglin Liang, et al.. (2024). Design of multispectral array imaging system based on depth-guided network. Optics and Lasers in Engineering. 175. 108026–108026. 2 indexed citations

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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