Lijuan Wang

86 total papers · 1.4k total citations
46 papers, 904 citations indexed

About

Lijuan Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Lijuan Wang has authored 46 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Lijuan Wang's work include Advanced Clustering Algorithms Research (10 papers), Face and Expression Recognition (8 papers) and Complex Network Analysis Techniques (6 papers). Lijuan Wang is often cited by papers focused on Advanced Clustering Algorithms Research (10 papers), Face and Expression Recognition (8 papers) and Complex Network Analysis Techniques (6 papers). Lijuan Wang collaborates with scholars based in China, United Kingdom and United States. Lijuan Wang's co-authors include Xizhao Wang, Yadong Wang, Shifei Ding, Yanru Wang, Frank K. Soong, Xiao Xu, Ruilian Yu, Gongren Hu, Lei Xie and Bo Fan and has published in prestigious journals such as Chemical Engineering Journal, IEEE Access and Information Sciences.

In The Last Decade

Lijuan Wang

44 papers receiving 863 citations

Author Peers

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

Author						Papers	Cites
Lijuan Wang	396	360	132	71	67	46	904
Zichen Li	283 0.7×	431 1.2×	103 0.8×	100 1.4×	35 0.5×	30	858
Shuo Chang	166 0.4×	329 0.9×	61 0.5×	76 1.1×	44 0.7×	59	947
Jiawei Zhang	474 1.2×	304 0.8×	44 0.3×	58 0.8×	62 0.9×	37	872
Yanwei Wang	198 0.5×	106 0.3×	97 0.7×	38 0.5×	83 1.2×	69	936
Guanglu Sun	257 0.6×	362 1.0×	105 0.8×	92 1.3×	40 0.6×	73	784
Shu Wang	206 0.5×	258 0.7×	60 0.5×	34 0.5×	20 0.3×	101	1.0k
Xingwang Zhao	157 0.4×	391 1.1×	76 0.6×	115 1.6×	30 0.4×	23	765
Zheng Liu	162 0.4×	228 0.6×	23 0.2×	95 1.3×	131 2.0×	36	731
Chuanting Zhang	72 0.2×	249 0.7×	44 0.3×	24 0.3×	39 0.6×	36	876
Syed Fawad Hussain	220 0.6×	379 1.1×	121 0.9×	67 0.9×	29 0.4×	51	899

Countries citing papers authored by Lijuan Wang

Since Specialization

Citations

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

Fields of papers citing papers by Lijuan Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijuan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Lijuan Wang. A scholar is included among the top collaborators of Lijuan 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 Lijuan Wang. Lijuan 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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