Sha Liu

56 total papers · 404 total citations
24 papers, 324 citations indexed

About

Sha Liu is a scholar working on Electrical and Electronic Engineering, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sha Liu has authored 24 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 3 papers in Social Psychology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sha Liu's work include Video Surveillance and Tracking Methods (2 papers), Electricity Theft Detection Techniques (2 papers) and Electrical and Bioimpedance Tomography (2 papers). Sha Liu is often cited by papers focused on Video Surveillance and Tracking Methods (2 papers), Electricity Theft Detection Techniques (2 papers) and Electrical and Bioimpedance Tomography (2 papers). Sha Liu collaborates with scholars based in China, Saudi Arabia and Canada. Sha Liu's co-authors include Shi Liu, Ting Ren, Ziyuan Li, Qiushi Ren, Zhaoli Sun, Shuren Wang, Baodui Wang, Zhiyi Wang, Yanglong Hou and Fugeng Sheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Science Advances and Frontiers in Psychology.

In The Last Decade

Sha Liu

20 papers receiving 316 citations

Author Peers

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

Author						Papers	Cites
Sha Liu	136	104	61	40	40	24	324
Schmitt	100 0.7×	96 0.9×	39 0.6×	24 0.6×	22 0.6×	22	335
Yingchen Wang	59 0.4×	142 1.4×	50 0.8×	38 0.9×	63 1.6×	42	366
Xiang Li	115 0.8×	74 0.7×	65 1.1×	25 0.6×	28 0.7×	26	345
Min Chul Shin	60 0.4×	81 0.8×	47 0.8×	7 0.2×	3 0.1×	28	323
Yun Wang	121 0.9×	44 0.4×	38 0.6×	18 0.5×	9 0.2×	27	334
Jiangtao Wang	54 0.4×	94 0.9×	24 0.4×	34 0.8×	18 0.5×	31	277
Craig S. Hartley	27 0.2×	167 1.6×	15 0.2×	97 2.4×	23 0.6×	27	345
Xin Miao	90 0.7×	92 0.9×	181 3.0×	16 0.4×	11 0.3×	38	336
Pan Wang	52 0.4×	21 0.2×	52 0.9×	18 0.5×	10 0.3×	43	361
Ye Ding	50 0.4×	56 0.5×	74 1.2×	7 0.2×	8 0.2×	24	265

Countries citing papers authored by Sha Liu

Since Specialization

Citations

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

Fields of papers citing papers by Sha Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sha Liu

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