Shuxia Lu

31 total papers · 415 total citations
18 papers, 342 citations indexed

About

Shuxia Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Shuxia Lu has authored 18 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 9 papers in Control and Systems Engineering. Recurrent topics in Shuxia Lu's work include Advanced Algorithms and Applications (9 papers), Face and Expression Recognition (9 papers) and Machine Learning and ELM (3 papers). Shuxia Lu is often cited by papers focused on Advanced Algorithms and Applications (9 papers), Face and Expression Recognition (9 papers) and Machine Learning and ELM (3 papers). Shuxia Lu collaborates with scholars based in China and Nepal. Shuxia Lu's co-authors include Xizhao Wang, Junhai Zhai, Xu Zhou, Guiqiang Zhang, Lisha Hu, Jie Meng, Le Tong, Jie Jiang, Xianhao Liu and Lisha Hu and has published in prestigious journals such as Information Sciences, Applied Soft Computing and International Journal of Pattern Recognition and Artificial Intelligence.

In The Last Decade

Shuxia Lu

17 papers receiving 334 citations

Author Peers

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

Author						Papers	Cites
Shuxia Lu	196	114	95	57	48	18	342
Christian Döring	202 1.0×	151 1.3×	49 0.5×	35 0.6×	23 0.5×	10	358
M. Carmen Garrido	227 1.2×	63 0.6×	45 0.5×	62 1.1×	29 0.6×	34	401
Kush Bhatia	277 1.4×	78 0.7×	33 0.3×	44 0.8×	40 0.8×	12	339
Stanislav Busygin	110 0.6×	46 0.4×	98 1.0×	39 0.7×	15 0.3×	10	329
Maria Florina Balcan	213 1.1×	105 0.9×	46 0.5×	17 0.3×	15 0.3×	17	365
Yongqiao Wang	209 1.1×	81 0.7×	27 0.3×	26 0.5×	65 1.4×	21	385
Niao He	196 1.0×	48 0.4×	27 0.3×	38 0.7×	62 1.3×	29	379
Chris Darken	169 0.9×	80 0.7×	22 0.2×	17 0.3×	54 1.1×	10	358
Pınar Tüfekçi	185 0.9×	40 0.4×	25 0.3×	25 0.4×	69 1.4×	12	365
Jigui Sun	193 1.0×	124 1.1×	46 0.5×	65 1.1×	26 0.5×	14	358

Countries citing papers authored by Shuxia Lu

Since Specialization

Citations

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

Fields of papers citing papers by Shuxia Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuxia Lu

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