Shuyang Ling

48 total papers · 892 total citations
16 papers, 375 citations indexed

About

Shuyang Ling is a scholar working on Computational Mechanics, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shuyang Ling has authored 16 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 8 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shuyang Ling's work include Sparse and Compressive Sensing Techniques (12 papers), Blind Source Separation Techniques (7 papers) and Microwave Imaging and Scattering Analysis (3 papers). Shuyang Ling is often cited by papers focused on Sparse and Compressive Sensing Techniques (12 papers), Blind Source Separation Techniques (7 papers) and Microwave Imaging and Scattering Analysis (3 papers). Shuyang Ling collaborates with scholars based in United States, China and Switzerland. Shuyang Ling's co-authors include Thomas Strohmer, Ke Wei, Xiaodong Li, Yimin Wei, Xinghua Shi, Afonso S. Bandeira and Xiaodong Li and has published in prestigious journals such as IEEE Transactions on Information Theory, Mathematical Programming and SIAM Journal on Optimization.

In The Last Decade

Shuyang Ling

15 papers receiving 361 citations

Author Peers

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

Author						Papers	Cites
Shuyang Ling	239	130	82	76	57	16	375
Venkat Chandrasekaran	157 0.7×	60 0.5×	65 0.8×	39 0.5×	29 0.5×	26	370
Zhang Liu	218 0.9×	76 0.6×	79 1.0×	31 0.4×	18 0.3×	14	333
Jon Dattorro	99 0.4×	114 0.9×	92 1.1×	32 0.4×	96 1.7×	8	423
Necdet Serhat Aybat	179 0.7×	30 0.2×	87 1.1×	31 0.4×	41 0.7×	23	386
Yohann de Castro	222 0.9×	68 0.5×	89 1.1×	78 1.0×	16 0.3×	24	345
Huishuai Zhang	96 0.4×	28 0.2×	132 1.6×	36 0.5×	99 1.7×	35	384
Bijan Afsari	59 0.2×	74 0.6×	86 1.0×	22 0.3×	11 0.2×	20	438
Myoung An	30 0.1×	135 1.0×	75 0.9×	52 0.7×	91 1.6×	19	387
Praneeth Narayanamurthy	169 0.7×	90 0.7×	194 2.4×	40 0.5×	46 0.8×	24	398
Klaus Meerkötter	114 0.5×	272 2.1×	93 1.1×	130 1.7×	183 3.2×	16	420

Countries citing papers authored by Shuyang Ling

Since Specialization

Citations

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

Fields of papers citing papers by Shuyang Ling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuyang Ling

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