Shubo Lv

20 total papers · 981 total citations
9 papers, 585 citations indexed

About

Shubo Lv is a scholar working on Signal Processing, Artificial Intelligence and Mechanics of Materials. According to data from OpenAlex, Shubo Lv has authored 9 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Signal Processing, 8 papers in Artificial Intelligence and 1 paper in Mechanics of Materials. Recurrent topics in Shubo Lv's work include Speech and Audio Processing (9 papers), Speech Recognition and Synthesis (8 papers) and Music and Audio Processing (5 papers). Shubo Lv is often cited by papers focused on Speech and Audio Processing (9 papers), Speech Recognition and Synthesis (8 papers) and Music and Audio Processing (5 papers). Shubo Lv collaborates with scholars based in China. Shubo Lv's co-authors include Lei Xie, Shimin Zhang, Yanxin Hu, Yihui Fu, Mengtao Xing, Jian Wu, Yun Liu, Yannan Wang, Jingdong Li and Yun Liu and has published in prestigious journals such as ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

In The Last Decade

Shubo Lv

9 papers receiving 571 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement

2020 428 citations Yanxin Hu, Yun Liu et al. profile →

Author Peers

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

Author						Papers	Cites
Shubo Lv	538	376	216	84	45	9	585
Yihui Fu	552 1.0×	412 1.1×	202 0.9×	77 0.9×	46 1.0×	12	614
Shimin Zhang	490 0.9×	329 0.9×	187 0.9×	75 0.9×	53 1.2×	27	678
Lianwu Chen	502 0.9×	307 0.8×	179 0.8×	73 0.9×	27 0.6×	31	544
Volker Leutnant	491 0.9×	310 0.8×	163 0.8×	85 1.0×	34 0.8×	16	518
Soundararajan Srinivasan	564 1.0×	330 0.9×	158 0.7×	151 1.8×	82 1.8×	24	688
Guoning Hu	533 1.0×	206 0.5×	178 0.8×	164 2.0×	39 0.9×	19	566
Aditya Arie Nugraha	617 1.1×	302 0.8×	206 1.0×	46 0.5×	44 1.0×	31	676
K. K. Chin	423 0.8×	420 1.1×	71 0.3×	36 0.4×	33 0.7×	26	566
C. Marro	536 1.0×	129 0.3×	407 1.9×	111 1.3×	51 1.1×	12	582
Marco Jeub	607 1.1×	131 0.3×	360 1.7×	230 2.7×	41 0.9×	19	659

Countries citing papers authored by Shubo Lv

Since Specialization

Citations

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

Fields of papers citing papers by Shubo Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shubo Lv

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