Shubo Liu

2.0k total citations · 1 hit paper
93 papers, 1.4k citations indexed

About

Shubo Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Shubo Liu has authored 93 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Shubo Liu's work include Privacy-Preserving Technologies in Data (19 papers), Ocean Waves and Remote Sensing (11 papers) and Cryptography and Data Security (10 papers). Shubo Liu is often cited by papers focused on Privacy-Preserving Technologies in Data (19 papers), Ocean Waves and Remote Sensing (11 papers) and Cryptography and Data Security (10 papers). Shubo Liu collaborates with scholars based in China, United States and Hong Kong. Shubo Liu's co-authors include Zhaohui Cai, Xingxing Xiong, Guoqing Tu, Zhuoqing Chang, Jing Sun, Jun Wang, David Ahlström, Terence Tsai, Michael N. Young and Xinran Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Shubo Liu

86 papers receiving 1.4k citations

Hit Papers

align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Survey of Recent Advances in Edge-Computing-Powered Artificial Intelligence of Things

2021 223 citations Zhuoqing Chang, Shubo Liu et al. IEEE Internet of Things Journal profile →

Peers

Shubo Liu

AI

CVPR

CNC

EEE

IS

Atiq Ur Rehman Pakistan

Yingjie Wang China

Jing Peng China

Lingling Wang China

Xiao Xue China

Qiang Li China

Feilong Chen China

Xiaohong Zhang China

Xue Bai China

Atiq Ur Rehman Pakistan

Shubo Liu

282 ×0.7

AI

83 ×0.3

CVPR

105 ×0.5

CNC

215 ×1.1

EEE

116 ×0.7

IS

Citations per year, relative to Shubo Liu Shubo Liu (= 1×) peers Atiq Ur Rehman

Countries citing papers authored by Shubo Liu

Since Specialization

Citations

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

Fields of papers citing papers by Shubo Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shubo Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shubo Liu. A scholar is included among the top collaborators of Shubo 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 Shubo Liu. Shubo Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Chang, Zhuoqing, Shubo Liu, Zhaohui Cai, & Guoqing Tu. (2024). Continuous Latent Adversarial Autoencoder: A Time-Sensitive Method for Incomplete Time-Series Modeling. IEEE Internet of Things Journal. 12(7). 8552–8569.

2.

Guo, Yaxin, et al.. (2024). Enhanced Low-Temperature Durability of Flexible Zinc–Air Batteries Using NaCl-Doped Dual-Network Hydrogel Electrolytes. ACS Applied Polymer Materials. 6(19). 11901–11910. 6 indexed citations

3.

Liu, Shubo, et al.. (2023). An efficient privacy-preserving authentication scheme with enhanced security for IoMT applications. Computer Communications. 208. 171–178. 7 indexed citations

4.

Shu, Weiping, Sha Jin, Huan Zhang, et al.. (2023). Salinity Inversion of Flat Sea Surface Based on Deep Neural Network. SHILAP Revista de lepidopterología. 4.

5.

Chang, Zhuoqing, et al.. (2023). Time-aware neural ordinary differential equations for incomplete time series modeling. The Journal of Supercomputing. 79(16). 18699–18727. 4 indexed citations

6.

Liu, Shubo, Hongsheng Zhang, Yuankai Qi, et al.. (2023). AerialVLN: Vision-and-Language Navigation for UAVs. 15338–15348. 24 indexed citations

7.

Liu, Tongyu, Yangyang Zhou, Shubo Liu, et al.. (2022). Characterization and Functional Analysis of ZmSWEET15a in Maize. DNA and Cell Biology. 41(6). 564–574. 6 indexed citations

8.

Liu, Shubo, et al.. (2021). Differentially Private Autocorrelation Time-Series Data Publishing Based on Sliding Window. Security and Communication Networks. 2021. 1–10. 5 indexed citations

9.

Chang, Zhuoqing, Shubo Liu, Xingxing Xiong, Zhaohui Cai, & Guoqing Tu. (2021). A Survey of Recent Advances in Edge-Computing-Powered Artificial Intelligence of Things. IEEE Internet of Things Journal. 8(18). 13849–13875. 223 indexed citations breakdown →

10.

Wang, Zhao‐Xi, Shubo Liu, Hongxin Guan, et al.. (2020). Structural and Functional Characterization of the Phosphoprotein Central Domain of Spring Viremia of Carp Virus. Journal of Virology. 94(15). 11 indexed citations

11.

Xiong, Xingxing, Shubo Liu, Dan Li, Zhaohui Cai, & Xiaoguang Niu. (2020). A Comprehensive Survey on Local Differential Privacy. Security and Communication Networks. 2020. 1–29. 54 indexed citations

12.

Lu, Xiaobing, Zhao‐Xi Wang, Shubo Liu, et al.. (2019). Interferon Regulatory Factors 1 and 2 Play Different Roles in MHC II Expression Mediated by CIITA in Grass Carp, Ctenopharyngodon idella. Frontiers in Immunology. 10. 1106–1106. 14 indexed citations

13.

Liu, Shubo, et al.. (2019). Correction for Calibration Error in Hy-2b Scanning Microwave Radiometer. 8948–8951. 4 indexed citations

14.

Liu, Shubo, Long-Feng Lu, Xiaobing Lu, Shun Li, & Yong‐An Zhang. (2019). Zebrafish FGFR3 is a negative regulator of RLR pathway to decrease IFN expression. Fish & Shellfish Immunology. 92. 224–229. 12 indexed citations

15.

Liu, Shubo, Wei Yu, Zheng Xiong, & Fei Liu. (2018). Research on Performance Diagnosis Method of Power User Eleco Energy Data Acquire System Based on Semi-Supervised Learning. 32. 486–490.

16.

Wei, En‐Bo, et al.. (2014). Emissivity Measurements of Foam-Covered Water Surface at L-Band for Low Water Temperatures. Remote Sensing. 6(11). 10913–10930. 10 indexed citations

17.

Zhang, Lei, Futai Zhang, Bo Qin, & Shubo Liu. (2011). Provably-secure electronic cash based on certificateless partially-blind signatures. Electronic Commerce Research and Applications. 10(5). 545–552. 23 indexed citations

18.

Du, Jing, Bing Sun, Lang Zhang, et al.. (2009). Metabolites of Cerebellar Neurons and Hippocampal Neurons Play Opposite Roles in Pathogenesis of Alzheimer's Disease. PLoS ONE. 4(5). e5530–e5530. 14 indexed citations

19.

Du, Jing, Lang Zhang, Shubo Liu, et al.. (2009). PPARγ transcriptionally regulates the expression of insulin-degrading enzyme in primary neurons. Biochemical and Biophysical Research Communications. 383(4). 485–490. 55 indexed citations

20.

Zhao, Dingxuan, et al.. (2008). Automatic Shift with 4-parameter of Construction Vehicle based on Neural Network Model. 688–692. 1 indexed citations

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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