Congnan Luo

486 citations
11 papers · 390 · h-index 9

Impact in

    • Data Mining Algorithms and Applications
    • Web Data Mining and Analysis
    • Text and Document Classification Technologies
    • Advanced Clustering Algorithms Research
    • Advanced Text Analysis Techniques

Papers in

Congnan Luo

11 papers receiving 357 citations

Peers

Congnan Luo
Comparison fields: 5 of 54
  • Information Systems 223
  • Artificial Intelligence 280
  • Signal Processing 83
  • Computational Theory and Mathematics 81
  • Computer Vision and Pattern Recognition 58
Replace Abel Armas-Cervantes with:
Abel Armas-Cervantes Australia
Blair Archibald United Kingdom
Paul B. Thistlewaite Australia
Arnaud Soulet France
Vishal Saraswat India
Ehab Abdelhamid Saudi Arabia
Jason Tsong-Li Wang United States
Jeffery Xu Yu Hong Kong
Mark-A. Krogel Germany
Zhu Hua China
Congnan Luo relative to Abel Armas-Cervantes Australia Abel Armas-Cervantes's profile →
Citations per field
00.5×1.5×2.1×
Abel Armas-Cervantes · 1×
Citations per year

Countries citing papers authored by Congnan Luo

Since Specialization
Citations

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

Fields of papers citing papers by Congnan Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Congnan Luo, 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 Congnan Luo Line = papers co-authored together Congnan Luo links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2008150
2 200994
3 200552
4 200722
5 200716
6 201115
7 201513
8 201010
9 20069
10 20047
11 20042

About Congnan Luo

Congnan Luo is a scholar working on Information Systems, Signal Processing, Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications, having authored 11 papers that have together received 390 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (9 papers), Data Management and Algorithms (7 papers), Rough Sets and Fuzzy Logic (6 papers), Web Data Mining and Analysis (2 papers), Advanced Clustering Algorithms Research (2 papers), Text and Document Classification Technologies (2 papers), Algorithms and Data Compression (2 papers) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Information Systems (223 citations), Artificial Intelligence (280 citations), Signal Processing (83 citations), Computational Theory and Mathematics (81 citations) and Computer Vision and Pattern Recognition (58 citations). Congnan Luo has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Soon M. Chung and Yanjun Li. Their work appears in journals such as Knowledge and Information Systems, IEEE Transactions on Knowledge and Data Engineering, Data & Knowledge Engineering, The Journal of Supercomputing and Cluster Computing.

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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