Luoxin Chen

440 total citations
5 papers, 56 citations indexed

About

Luoxin Chen is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Luoxin Chen has authored 5 papers receiving a total of 56 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Luoxin Chen's work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Speech and dialogue systems (1 paper). Luoxin Chen is often cited by papers focused on Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Speech and dialogue systems (1 paper). Luoxin Chen collaborates with scholars based in United States. Luoxin Chen's co-authors include Xinyue Liu, Jianhua Lü, Imre Kiss, Chengwei Su, Wael Hamza, Haidar Khan, Xinyue Liu, Mingda Li, Joseph Finkelstein and Carol Friedman and has published in prestigious journals such as PubMed.

In The Last Decade

Luoxin Chen

5 papers receiving 50 citations

Peers

Luoxin Chen
Fereshte Khani United States
Karan Goel United States
Daniel D’souza United States
Kris Cao United Kingdom
Rafael Rafailov United States
Srinivasan Raghuraman United States
Xiang Lisa Li United States
Nikola Momchev United States
Jessy Lin United States
Fereshte Khani United States
Luoxin Chen
Citations per year, relative to Luoxin Chen Luoxin Chen (= 1×) peers Fereshte Khani

Countries citing papers authored by Luoxin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Luoxin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luoxin Chen

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

All Works

5 of 5 papers shown
1.
Liu, Xinyue, Mingda Li, Luoxin Chen, et al.. (2021). ASR N-Best Fusion Nets. 7618–7622. 6 indexed citations
2.
Chen, Luoxin, et al.. (2020). SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling. 36 indexed citations
3.
Chen, Luoxin, et al.. (2020). Towards an ASR Error Robust Spoken Language Understanding System. 901–905. 8 indexed citations
4.
Chen, Luoxin, et al.. (2020). Enhance Robustness of Sequence Labelling with Masked Adversarial Training. 297–302. 5 indexed citations
5.
Chen, Luoxin, Carol Friedman, & Joseph Finkelstein. (2019). Automated Metabolic Phenotyping of Cytochrome Polymorphisms Using PubMed Abstract Mining.. PubMed. 2017. 535–544. 1 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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