Lan Shu

1.3k total citations
99 papers, 986 citations indexed

About

Lan Shu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Lan Shu has authored 99 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computational Theory and Mathematics, 21 papers in Artificial Intelligence and 19 papers in Management Science and Operations Research. Recurrent topics in Lan Shu's work include Rough Sets and Fuzzy Logic (26 papers), Multi-Criteria Decision Making (15 papers) and Neural Networks Stability and Synchronization (15 papers). Lan Shu is often cited by papers focused on Rough Sets and Fuzzy Logic (26 papers), Multi-Criteria Decision Making (15 papers) and Neural Networks Stability and Synchronization (15 papers). Lan Shu collaborates with scholars based in China, New Zealand and Russia. Lan Shu's co-authors include Haidong Zhang, Shouming Zhong, Dong Qiu, Xin Wang, Xuehua Li, Zhiwen Mo, Xiu Liu, Jing Jiang, Guimin Huang and Haiyang Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Lan Shu

90 papers receiving 958 citations

Peers

Lan Shu
Comparison fields: 5 of 91
  • Management Science and Operations Research 322
  • Computational Theory and Mathematics 288
  • Artificial Intelligence 226
  • Computer Networks and Communications 207
  • Control and Systems Engineering 160
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Citations per field, relative to Lan Shu
Lan Shu · 1×
Citations per year, relative to Lan Shu
Lan Shu · 1×

Countries citing papers authored by Lan Shu

Since Specialization
Citations

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

Fields of papers citing papers by Lan Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lan Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Lan Shu. A scholar is included among the top collaborators of Lan Shu 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 Lan Shu. Lan Shu 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
# Work Indexed citations
1 0
2 7
3 2
4 37
5 6
6 3
7 1
8 6
9 9
10 35
11 40
12
Non-Equidistant GM (1,1) Based on Accumulated Method and Its Properties
1
13 11
14
Rough Set Model Based on New Set Pair Analysis
1
15
An Algorithm of Attributes Reduction in Decision Table Based on the Approximation Classified Quality
1
16
Attribute Reduction Algorithm of Incomplete Decision System Based on Tolerant Relation
2
17
A Method of the Discretization of Rough Set's Continuous Attribute Based on the Self-organizing Feature Map
1
18
Some Properties of Rough Invariant Subgroups and Rough Quotient Groups
0
19
Fuzzy Rough Relation and Its Properties
1
20
The Development of Decision Form Reduction of Rough Sets
0

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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