Lanying Wang

486 total citations
6 papers, 396 citations indexed

About

Lanying Wang is a scholar working on Computational Theory and Mathematics, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Lanying Wang has authored 6 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Theory and Mathematics, 3 papers in Information Systems and 2 papers in Computer Networks and Communications. Recurrent topics in Lanying Wang's work include Rough Sets and Fuzzy Logic (4 papers), Data Mining Algorithms and Applications (2 papers) and Service-Oriented Architecture and Web Services (1 paper). Lanying Wang is often cited by papers focused on Rough Sets and Fuzzy Logic (4 papers), Data Mining Algorithms and Applications (2 papers) and Service-Oriented Architecture and Web Services (1 paper). Lanying Wang collaborates with scholars based in China. Lanying Wang's co-authors include Lin Sun, Jiucheng Xu, Yuhua Qian, Weiping Ding, Shiguang Zhang, Chengrong Wang, Chunshan Li, Dianhui Chu, Yongli Xiao and Zhiying Tu and has published in prestigious journals such as IEEE Transactions on Fuzzy Systems, Knowledge-Based Systems and Entropy.

In The Last Decade

Lanying Wang

6 papers receiving 383 citations

Peers

Countries citing papers authored by Lanying Wang

Since Specialization

Citations

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

Fields of papers citing papers by Lanying Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanying Wang

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

All Works

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6 of 6 papers shown

#	Work	Indexed citations
1	A Fast Real-Time QoS-aware Service Selection Algorithm 2021 ·Chunshan Li, Yongli Xiao, Zhiying Tu, Dianhui Chu, Chengrong Wang, Lanying Wang	2
2	Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multigranulation Rough Sets 2020 ·IEEE Transactions on Fuzzy Systems ·Lin Sun, Lanying Wang, Weiping Ding, Yuhua Qian, Jiucheng Xu	211
3	Feature selection using Lebesgue and entropy measures for incomplete neighborhood decision systems 2019 ·Knowledge-Based Systems ·Lin Sun, Lanying Wang, Yuhua Qian, Jiucheng Xu, Shiguang Zhang	56
4	A Neighborhood Rough Sets-Based Attribute Reduction Method Using Lebesgue and Entropy Measures 2019 ·Entropy ·Lin Sun, Lanying Wang, Jiucheng Xu, Shiguang Zhang	22
5	Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems 2019 ·Knowledge-Based Systems ·Lin Sun, Lanying Wang, Weiping Ding, Yuhua Qian, Jiucheng Xu	103
6	Analysis of NTFS file system 2007 ·Jisuanji gongcheng yu sheji ·Lanying Wang	2

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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