Lin Sun

3.6k citations
108 papers · 2.8k indexed · 2 hit papers · h-index 27
Topics
Rough Sets and Fuzzy Logic (49 papers)Text and Document Classification Technologies (24 papers)Data Mining Algorithms and Applications (21 papers)
Partner nations
ChinaSingaporeAustralia

In The Last Decade

Lin Sun

96 papers receiving 2.7k citations

Hit Papers

Feature selection using neighborhood entropy-based uncert...20192026202120232019202150100150200

Peers

Lin Sun
Comparison fields: 5 of 140
  • Computational Theory and Mathematics 1.5k
  • Artificial Intelligence 1.5k
  • Computer Vision and Pattern Recognition 750
  • Information Systems 706
  • Molecular Biology 435
Replace Yaojin Lin with:
Yaojin Lin China
Yumin Chen China
Nicolás García‐Pedrajas Spain
Roman W. Świniarski United States
Tomoharu Nakashima Japan
Xibei Yang China
Christopher J. Merz United States
Crina Groşan Romania
Mingwen Shao China
Lin Sun relative to Yaojin Lin China Yaojin Lin's profile →
Citations per field
00.5×1.5×
Yaojin Lin · 1×
Citations per year

Countries citing papers authored by Lin Sun

Since Specialization
Citations

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

Fields of papers citing papers by Lin Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Sun

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

All Works

20 of 20 papers shown
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Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classificationbreakdown →
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WIM at TREC 2005.
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About Lin Sun

Lin Sun is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 108 papers that have together received 2.8k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (49 papers), Text and Document Classification Technologies (24 papers) and Data Mining Algorithms and Applications (21 papers). The work is most often cited by research in Computational Theory and Mathematics (1.5k citations), Artificial Intelligence (1.5k citations) and Computer Vision and Pattern Recognition (750 citations). Lin Sun has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Jiucheng Xu, Weiping Ding, Yuhua Qian, Shiguang Zhang, Yun Tian, Lanying Wang, Yu Chen, Xiaoyu Zhang, Tengyu Yin and Ying Xue. Their work appears in journals such as Bioinformatics, Scientific Reports and 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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