Luoxin Chen

444 citations
5 papers · 59 · h-index 4

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Speech Recognition and Synthesis
    • Text and Document Classification Technologies
    • Adversarial Robustness in Machine Learning
    • Anomaly Detection Techniques and Applications
    • Speech and dialogue systems
    • Digital Media Forensic Detection

Papers in

    • Natural Language Processing Techniques 3
    • Topic Modeling 3
    • Speech Recognition and Synthesis 1
    • Adversarial Robustness in Machine Learning 1
    • Biomedical Text Mining and Ontologies 1

Luoxin Chen

5 papers receiving 53 citations

Peers

Luoxin Chen
Comparison fields: 5 of 20
  • Artificial Intelligence 50
  • Computer Vision and Pattern Recognition 10
  • Biophysics 2
  • General Social Sciences 1
  • Music 1
Replace Yadollah Yaghoobzadeh with:
Yadollah Yaghoobzadeh Iran
Karan Goel United States
Rahul Kidambi United States
Polina Zablotskaia United States
Dušan Variš Czechia
Daniel D’souza United States
Ashutosh Adhikari Algeria
Wael Farhan Jordan
Limao Xiong China
Wojciech Kusa Austria
Luoxin Chen relative to Yadollah Yaghoobzadeh Iran Yadollah Yaghoobzadeh's profile →
Citations per field
00.5×1.5×2.2×
Yadollah Yaghoobzadeh · 1×
Citations per year

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-authors

The 10 scholars most cited alongside Luoxin Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Luoxin Chen Line = papers co-authored together Luoxin Chen links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 202038
2 20209
3 20216
4 20205
5
Automated Metabolic Phenotyping of Cytochrome Polymorphisms Using PubMed Abstract Mining.
20191

About Luoxin Chen

Luoxin Chen is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Pharmacology, having authored 5 papers that have together received 59 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers), Speech Recognition and Synthesis (1 paper), Handwritten Text Recognition Techniques (1 paper), Pharmacogenetics and Drug Metabolism (1 paper), Biomedical Text Mining and Ontologies (1 paper), Computational Drug Discovery Methods (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Artificial Intelligence (50 citations), Computer Vision and Pattern Recognition (10 citations), Biophysics (2 citations), General Social Sciences (1 citation) and Music (1 citation). Luoxin Chen has collaborated with scholars based in United States. Frequent co-authors include Jianhua Lü, Xinyue Liu, Chengwei Su, Imre Kiss, Wael Hamza, Xinyue Liu, Haidar Khan, Mingda Li, Joseph Finkelstein and Carol Friedman. Their work appears in journals such as PubMed.

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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