Liangbin Xie

36 total papers · 2.6k total citations
15 papers, 1.1k citations indexed

About

Liangbin Xie is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Liangbin Xie has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Control and Systems Engineering and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Liangbin Xie's work include Image and Signal Denoising Methods (3 papers), Smart Grid Energy Management (3 papers) and Microgrid Control and Optimization (3 papers). Liangbin Xie is often cited by papers focused on Image and Signal Denoising Methods (3 papers), Smart Grid Energy Management (3 papers) and Microgrid Control and Optimization (3 papers). Liangbin Xie collaborates with scholars based in China, Macao and United States. Liangbin Xie's co-authors include Ying Shan, Xintao Wang, Chao Dong, Zhongang Qi, Jian Zhang, Chong Mou, Yanze Wu, Lu Wang, Lisheng Xu and Qingxu Deng and has published in prestigious journals such as Sensors, International Journal of Computer Vision and Health Physics.

In The Last Decade

Liangbin Xie

13 papers receiving 1.0k citations

Hit Papers

Real-ESRGAN: Training Rea... 2021 2026 2022 2024 2021 2024 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Liangbin Xie 822 307 91 89 50 15 1.1k
Dun Liang 753 0.9× 306 1.0× 67 0.7× 136 1.5× 30 0.6× 11 935
Chitwan Saharia 810 1.0× 239 0.8× 100 1.1× 168 1.9× 38 0.8× 6 1.1k
Runlong Xia 1.1k 1.3× 395 1.3× 55 0.6× 216 2.4× 46 0.9× 24 1.5k
Robby T. Tan 974 1.2× 236 0.8× 65 0.7× 100 1.1× 22 0.4× 39 1.1k
Xingang Pan 1.1k 1.3× 157 0.5× 105 1.2× 332 3.7× 49 1.0× 27 1.3k
Martin Čadík 858 1.0× 243 0.8× 183 2.0× 72 0.8× 30 0.6× 39 1.1k
A. Rosenfeld 758 0.9× 220 0.7× 29 0.3× 105 1.2× 15 0.3× 20 1.0k
Rei Kawakami 688 0.8× 332 1.1× 35 0.4× 243 2.7× 46 0.9× 42 1.1k
W. Enkelmann 888 1.1× 129 0.4× 38 0.4× 46 0.5× 66 1.3× 21 1.2k
T.R. Reed 643 0.8× 196 0.6× 40 0.4× 109 1.2× 30 0.6× 52 992

Countries citing papers authored by Liangbin Xie

Since Specialization
Citations

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

Fields of papers citing papers by Liangbin Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangbin Xie

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

All Works

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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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