Lanying Wang

8 total papers · 481 total citations
6 papers, 389 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 389 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 Advanced Computational Techniques and Applications (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 Advanced Computational Techniques and Applications (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, Chunshan Li, Dianhui Chu, Zhiying Tu, Chengrong Wang and Yongli Xiao 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 378 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Lanying Wang	301	235	156	95	57	6	389
Kehua Yuan	230 0.8×	206 0.9×	116 0.7×	104 1.1×	65 1.1×	13	369
Wentao Wang	364 1.2×	194 0.8×	200 1.3×	44 0.5×	154 2.7×	16	446
Yunsong Qi	227 0.8×	199 0.8×	115 0.7×	37 0.4×	71 1.2×	16	366
Elisabeth Giem	199 0.7×	270 1.1×	117 0.8×	157 1.7×	14 0.2×	9	417
Zbigniew Bonikowski	422 1.4×	146 0.6×	132 0.8×	50 0.5×	103 1.8×	4	430
Jianhang Yu	297 1.0×	164 0.7×	166 1.1×	50 0.5×	96 1.7×	16	383
Ming-Wen Shao	401 1.3×	226 1.0×	237 1.5×	52 0.5×	79 1.4×	12	430
Masrour Zoghi	150 0.5×	263 1.1×	57 0.4×	50 0.5×	127 2.2×	13	426
Lynn D’eer	410 1.4×	142 0.6×	124 0.8×	34 0.4×	198 3.5×	9	430
Chin-Liang Chang	117 0.4×	278 1.2×	51 0.3×	112 1.2×	71 1.2×	9	375

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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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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