Lin Sun

3.8k citations
109 papers · 2.9k · 2 hit papers · h-index 27

Impact in

Papers in

Lin Sun

98 papers receiving 2.8k citations

Lin Sun's Hit Papers

Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification 2021 · 168 citations
1680+2+4Years since publication50100150200

Peers

Lin Sun
Comparison fields: 5 of 139
  • Computational Theory and Mathematics 1.5k
  • Artificial Intelligence 1.5k
  • Computer Vision and Pattern Recognition 760
  • Information Systems 709
  • Management Science and Operations Research 210
Replace Jiucheng Xu with:
Jiucheng Xu China
Yaojin Lin China
Yumin Chen China
Nicolás García‐Pedrajas Spain
Roman W. Świniarski United States
Tomoharu Nakashima Japan
Shuyin Xia China
Xibei Yang China
Christopher J. Merz United States
Lin Sun relative to Jiucheng Xu China Jiucheng Xu's profile →
Citations per field
00.5×1.5×
Jiucheng Xu · 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-authors

The 25 scholars most cited alongside Lin Sun, 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 Lin Sun Line = papers co-authored together Lin Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020215
2
Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification
Hit paper breakdown →
2019214
3
Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification
Hit paper breakdown →
2021168
4 2021138
5 2004135
6 2004130
7 2012110
8 2019105
9 2003103
10 2020103
11 201898
12 201971
13 202364
14 201963
15 201957
16 202254
17 201750
18 201936
19 202236
20 201432

About Lin Sun

Lin Sun is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Information Systems and Molecular Biology, having authored 109 papers that have together received 2.9k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (49 papers), Text and Document Classification Technologies (24 papers), Data Mining Algorithms and Applications (21 papers), Face and Expression Recognition (15 papers), Image Retrieval and Classification Techniques (14 papers), Gene expression and cancer classification (13 papers), Imbalanced Data Classification Techniques (11 papers) and Advanced Computational Techniques and Applications (8 papers). The work is most often cited by research in Computational Theory and Mathematics (1.5k citations), Artificial Intelligence (1.5k citations), Computer Vision and Pattern Recognition (760 citations), Information Systems (709 citations) and Management Science and Operations Research (210 citations). Lin Sun has collaborated with scholars based in China, Singapore and Macao. 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 Information Sciences, IEEE Access, Bio-Medical Materials and Engineering, Applied Intelligence and Knowledge-Based Systems.

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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