Suxia Cui

91 total papers · 608 total citations
52 papers, 367 citations indexed

About

Suxia Cui is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Networks and Communications. According to data from OpenAlex, Suxia Cui has authored 52 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 13 papers in Media Technology and 7 papers in Computer Networks and Communications. Recurrent topics in Suxia Cui's work include Image and Signal Denoising Methods (9 papers), Experimental Learning in Engineering (8 papers) and Advanced Data Compression Techniques (7 papers). Suxia Cui is often cited by papers focused on Image and Signal Denoising Methods (9 papers), Experimental Learning in Engineering (8 papers) and Advanced Data Compression Techniques (7 papers). Suxia Cui collaborates with scholars based in United States, China and Italy. Suxia Cui's co-authors include Yonghui Wang, James E. Fowler, Sarhan M. Musa, Matthew N. O. Sadiku, Yonghong Wang, Cajetan M. Akujuobi, Yong‐Hui Wang, Buğrahan Yalvaç, Mohamed Chouikha and Jian‐ao Lian and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Sensors.

In The Last Decade

Suxia Cui

42 papers receiving 346 citations

Author Peers

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

Author						Papers	Cites
Suxia Cui	137	54	44	43	41	52	367
Flávio Luis Cardeal Pádua	259 1.9×	31 0.6×	69 1.6×	41 1.0×	46 1.1×	37	413
Daniel Pérez	79 0.6×	22 0.4×	17 0.4×	11 0.3×	74 1.8×	36	349
Jiafa Mao	171 1.2×	34 0.6×	44 1.0×	22 0.5×	116 2.8×	49	361
Zulkifli Md. Yusof	135 1.0×	33 0.6×	31 0.7×	67 1.6×	119 2.9×	47	440
Parinya Sanguansat	118 0.9×	33 0.6×	8 0.2×	31 0.7×	83 2.0×	45	364
Hugo Vieira Neto	105 0.8×	39 0.7×	37 0.8×	29 0.7×	98 2.4×	30	405
G. Nagarajan	116 0.8×	53 1.0×	27 0.6×	37 0.9×	100 2.4×	72	363
Jose J. Valero-Mas	166 1.2×	80 1.5×	25 0.6×	17 0.4×	247 6.0×	37	429
Haibin Li	178 1.3×	30 0.6×	8 0.2×	64 1.5×	45 1.1×	59	374
Akbar Sheikh-Akbari	180 1.3×	92 1.7×	6 0.1×	39 0.9×	25 0.6×	101	428

Countries citing papers authored by Suxia Cui

Since Specialization

Citations

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

Fields of papers citing papers by Suxia Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suxia Cui

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