C. Lü

890 citations
3 papers · 52 · h-index 3

Impact in

    • Imbalanced Data Classification Techniques
    • Neural Networks and Applications
    • Anomaly Detection Techniques and Applications
    • Fuzzy Logic and Control Systems
    • Internet Traffic Analysis and Secure E-voting
    • Vehicle License Plate Recognition

Papers in

    • Neural Networks and Applications 2
    • Imbalanced Data Classification Techniques 1
    • Fuzzy Logic and Control Systems 1
    • Internet Traffic Analysis and Secure E-voting 1
    • Machine Learning and ELM 1
    • Advanced Algorithms and Applications 1
    • Elevator Systems and Control 1

C. Lü

3 papers receiving 51 citations

Peers

C. Lü
Comparison fields: 5 of 29
  • Artificial Intelligence 38
  • Media Technology 5
  • Control and Systems Engineering 11
  • Health Information Management 2
  • Accounting 4
Replace Mozhdeh Gheini with:
Mozhdeh Gheini United States
Emilie Morvant France
Aurelia Guy United States
Mohammad Pezeshki Iran
Michael Østergaard Pedersen United States
Carlos Florensa United States
Arunadevi Thirumalraj India
Edward Knapp Canada
Stefan Depeweg Germany
C. Lü relative to Mozhdeh Gheini United States Mozhdeh Gheini's profile →
Citations per field
00.5×1.5×
Mozhdeh Gheini · 1×
Citations per year

Countries citing papers authored by C. Lü

Since Specialization
Citations

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

Fields of papers citing papers by C. Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside C. Lü, 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 C. Lü Line = papers co-authored together C. Lü links everyone, so they are left out of the graph.

All Works

About C. Lü

C. Lü is a scholar working on Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 52 indexed citations. Recurring topics across this work include Neural Networks and Applications (2 papers), Imbalanced Data Classification Techniques (1 paper), Electricity Theft Detection Techniques (1 paper), Fuzzy Logic and Control Systems (1 paper), Advanced Algorithms and Applications (1 paper), Elevator Systems and Control (1 paper), Internet Traffic Analysis and Secure E-voting (1 paper) and Machine Learning and ELM (1 paper). The work is most often cited by research in Artificial Intelligence (38 citations), Media Technology (5 citations), Control and Systems Engineering (11 citations), Health Information Management (2 citations) and Accounting (4 citations). C. Lü has collaborated with scholars based in China. Frequent co-authors include Junfei Qiao, Shaofu Lin, Xiliang Liu, Wenjing Li, Cuili Yang and Honggui Han. Their work appears in journals such as IEEE Access.

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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