Shenglan Liu

1.4k total citations
75 papers, 957 citations indexed

About

Shenglan Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Shenglan Liu has authored 75 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 15 papers in Biomedical Engineering. Recurrent topics in Shenglan Liu's work include Machine Learning and ELM (10 papers), Face and Expression Recognition (10 papers) and Human Pose and Action Recognition (8 papers). Shenglan Liu is often cited by papers focused on Machine Learning and ELM (10 papers), Face and Expression Recognition (10 papers) and Human Pose and Action Recognition (8 papers). Shenglan Liu collaborates with scholars based in China, United Kingdom and United States. Shenglan Liu's co-authors include Lin Feng, Guanghui Wang, Danlin Zeng, Huibing Wang, Yongsheng Fu, Hong Qiao, Yiqing Liu, Wanjun Gong, Hongxiang Chen and Yang Liu and has published in prestigious journals such as Chemosphere, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Shenglan Liu

71 papers receiving 932 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shenglan Liu China 17 296 244 185 172 147 75 957
Yiming Wang China 19 142 0.5× 197 0.8× 81 0.4× 100 0.6× 76 0.5× 104 1.2k
Haifeng Gong China 21 431 1.5× 289 1.2× 82 0.4× 136 0.8× 73 0.5× 95 1.3k
Zhenghao Wang China 19 66 0.2× 301 1.2× 341 1.8× 204 1.2× 115 0.8× 92 1.3k
Mary She Australia 12 288 1.0× 403 1.7× 69 0.4× 119 0.7× 107 0.7× 27 897
Jingjing Yang China 17 138 0.5× 177 0.7× 55 0.3× 77 0.4× 50 0.3× 113 1.1k
Meiyu Huang China 22 468 1.6× 314 1.3× 168 0.9× 553 3.2× 48 0.3× 114 2.1k
Weitao Wan China 13 296 1.0× 276 1.1× 44 0.2× 138 0.8× 42 0.3× 21 941
Zhijing Liu China 15 172 0.6× 234 1.0× 67 0.4× 153 0.9× 31 0.2× 120 920
Zhengyi Yang China 17 163 0.6× 117 0.5× 109 0.6× 158 0.9× 55 0.4× 93 928

Countries citing papers authored by Shenglan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shenglan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenglan Liu

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

All Works

20 of 20 papers shown
1.
Huang, Zhixiong, et al.. (2025). DCR-SRNet: A Degradation-Contrastive and Wavelet-Guided Network for Blind Remote Sensing Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15. 1 indexed citations
2.
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Liu, Yiqing, Ting Wang, Zhengjie Chen, Shenglan Liu, & Yongsheng Fu. (2023). Enhanced removal of sulfamethoxazole by Mn(II)/bisulfite in presence of nitrilotriacetic acid: Role of Mn(III). Journal of environmental chemical engineering. 12(1). 111821–111821. 5 indexed citations
5.
Xu, Yinxiang, Yishu Yan, Shenglan Liu, Junbo Xu, & Chao Yang. (2023). Electric field-facilitated dehumidification of natural gas through nanochannels. Chemical Engineering Science. 277. 118867–118867. 2 indexed citations
6.
Liu, Shenglan, Yishu Yan, Yinxiang Xu, et al.. (2023). Effects of Cross-Linking Degree and Characteristic Components on Mechanical Properties of Highly Cross-Linked Phenolic Resins: A Molecular Dynamics Simulation Study. Industrial & Engineering Chemistry Research. 62(26). 10069–10079. 6 indexed citations
7.
Wang, Bowen, Jiaxin Chen, Shenglan Liu, et al.. (2023). Innovative Life-Cycle Inspection Strategy of Civil Infrastructure: Smartphone-Based Public Participation. Structural Control and Health Monitoring. 2023. 1–17. 3 indexed citations
8.
Yan, Yishu, Junbo Xu, Shenglan Liu, Min Wang, & Chao Yang. (2023). Reactive force-field MD simulation on the pyrolysis process of phenolic with various cross-linked and branched structures. Chemical Engineering Science. 272. 118606–118606. 22 indexed citations
9.
Zhu, Huajian, Qiang Wang, Yishu Yan, et al.. (2022). Effect of Naphthenic Acid and Metal Ions on Emulsification of Heavy Oil. Energy & Fuels. 36(5). 2561–2571. 5 indexed citations
10.
Zhou, Runyu, Gaofeng Zhou, Yiqing Liu, et al.. (2022). Activated peracetic acid by Mn3O4 for sulfamethoxazole degradation: A novel heterogeneous advanced oxidation process. Chemosphere. 306. 135506–135506. 52 indexed citations
11.
Zhang, Jie, Shenglan Liu, Hui Wang, et al.. (2021). The effects of borneol on the pharmacokinetics and brain distribution of tanshinone IIA, salvianolic acid B and ginsenoside Rg1 in Fufang Danshen preparation in rats. Chinese Journal of Natural Medicines. 19(2). 153–160. 13 indexed citations
12.
Zhang, Mingming, Shaohua Chen, Yang Wang, et al.. (2020). Kinematic dataset of actors expressing emotions. Scientific Data. 7(1). 292–292. 18 indexed citations
13.
Liu, Yang, et al.. (2019). An ELM based local topology preserving hashing. International Journal of Machine Learning and Cybernetics. 10(10). 2691–2708. 2 indexed citations
14.
Zhang, Jie, Shenglan Liu, Hui Wang, et al.. (2017). [UPLC-MS/MS determination of tanshinone ⅡA, salvianolic acid B and ginsenoside Rg₁ in Fufang Danshen preparation in rat plasma and brain tissues].. PubMed. 42(3). 580–586. 2 indexed citations
15.
Liu, Shenglan, et al.. (2017). Quasi-curvature Local Linear Projection and Extreme Learning Machine for nonlinear dimensionality reduction. Neurocomputing. 277. 208–217. 4 indexed citations
16.
Liu, Shenglan, et al.. (2016). Design of vibrating wire sensor signal acquisition board based on STM32. 21. 1846–1849. 2 indexed citations
17.
Zeng, Danlin, et al.. (2015). Degradation of phenol from aqueous solution using waste blast furnace flue dust and hydrogen peroxide. Desalination and Water Treatment. 57(21). 9933–9939. 2 indexed citations
18.
Liu, Shenglan, et al.. (2014). Robust activation function and its application: Semi-supervised kernel extreme learning method. Neurocomputing. 144. 318–328. 33 indexed citations
19.
Zeng, Danlin, Shenglan Liu, Wanjun Gong, et al.. (2013). Synthesis, characterization and acid catalysis of solid acid from peanut shell. Applied Catalysis A General. 469. 284–289. 73 indexed citations
20.
Liu, Shenglan, et al.. (2006). Application of grey prediction for predicting the measuring point for a CMM. The International Journal of Advanced Manufacturing Technology. 32(3-4). 288–292. 3 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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