Chenxi Liu

20 total papers · 3.5k total citations
12 papers, 909 citations indexed

About

Chenxi Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Chenxi Liu has authored 12 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Control and Systems Engineering. Recurrent topics in Chenxi Liu's work include Advanced Neural Network Applications (4 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Multimodal Machine Learning Applications (2 papers). Chenxi Liu is often cited by papers focused on Advanced Neural Network Applications (4 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Multimodal Machine Learning Applications (2 papers). Chenxi Liu collaborates with scholars based in United States, China and United Kingdom. Chenxi Liu's co-authors include Alan Yuille, Liang-Chieh Chen, Hartwig Adam, Wei Hua, Florian Schroff, Li Fei-Fei, Xin Lu, Shuicheng Yan, Zhe Lin and Xiaohui Shen and has published in prestigious journals such as IEEE Transactions on Signal Processing, Energy and International Journal of Computer Vision.

In The Last Decade

Chenxi Liu

11 papers receiving 885 citations

Hit Papers

Auto-DeepLab: Hierarchica... 2019 2026 2021 2023 2019 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
Chenxi Liu 691 409 92 80 39 12 909
C. H. Chen 390 0.6× 240 0.6× 102 1.1× 59 0.7× 40 1.0× 12 855
Pedro O. Pinheiro 688 1.0× 365 0.9× 86 0.9× 57 0.7× 21 0.5× 13 961
Stamatios Georgoulis 492 0.7× 348 0.9× 60 0.7× 62 0.8× 80 2.1× 19 908
Maxwell D. Collins 658 1.0× 366 0.9× 50 0.5× 46 0.6× 34 0.9× 18 920
Fengxiang He 563 0.8× 332 0.8× 121 1.3× 97 1.2× 30 0.8× 35 972
Chongruo Wu 424 0.6× 236 0.6× 113 1.2× 96 1.2× 34 0.9× 11 843
Vignesh Jagadeesh 488 0.7× 231 0.6× 101 1.1× 55 0.7× 31 0.8× 21 758
Andrew Howard 534 0.8× 489 1.2× 47 0.5× 73 0.9× 97 2.5× 16 1.0k
Chen-Wei Xie 585 0.8× 425 1.0× 44 0.5× 51 0.6× 19 0.5× 12 846
Hongyang Li 799 1.2× 372 0.9× 90 1.0× 79 1.0× 37 0.9× 24 1.0k

Countries citing papers authored by Chenxi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Chenxi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenxi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Chenxi Liu. A scholar is included among the top collaborators of Chenxi 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 Chenxi Liu. Chenxi Liu 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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