Shihu Liu

762 total citations
42 papers, 584 citations indexed

About

Shihu Liu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Shihu Liu has authored 42 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computational Theory and Mathematics and 11 papers in Management Science and Operations Research. Recurrent topics in Shihu Liu's work include Rough Sets and Fuzzy Logic (11 papers), Multi-Criteria Decision Making (9 papers) and Advanced Graph Neural Networks (9 papers). Shihu Liu is often cited by papers focused on Rough Sets and Fuzzy Logic (11 papers), Multi-Criteria Decision Making (9 papers) and Advanced Graph Neural Networks (9 papers). Shihu Liu collaborates with scholars based in China, Bangladesh and United States. Shihu Liu's co-authors include Jian Zhou, Yingmu Wang, Fusheng Yu, Jiong Zhou, Pengcheng Zhao, Ziyuan Lin, Xuejie He, Xiyang Yang, Wei Huang and Weihua Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Chemosphere.

In The Last Decade

Shihu Liu

39 papers receiving 580 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shihu Liu China 13 182 108 84 80 72 42 584
Lanqing Li China 18 99 0.5× 47 0.4× 67 0.8× 61 0.8× 11 0.2× 53 920
Hongmei Wang China 13 61 0.3× 24 0.2× 33 0.4× 25 0.3× 19 0.3× 50 472
Zhan‐Heng Chen China 18 60 0.3× 119 1.1× 157 1.9× 262 3.3× 4 0.1× 48 1.9k
Qun Xie China 11 298 1.6× 17 0.2× 165 2.0× 48 0.6× 19 0.3× 16 564
Wendy Robertson Australia 16 111 0.6× 29 0.3× 21 0.3× 272 3.4× 73 1.0× 25 1.3k
Horia F. Pop Romania 12 26 0.1× 24 0.2× 94 1.1× 60 0.8× 42 0.6× 47 425
Qi Zhao China 15 508 2.8× 7 0.1× 152 1.8× 111 1.4× 21 0.3× 59 853

Countries citing papers authored by Shihu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shihu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shihu Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shihu Liu. A scholar is included among the top collaborators of Shihu 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 Shihu Liu. Shihu 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.
Liu, Shihu, et al.. (2025). INSDPC: A density peaks clustering algorithm based on interactive neighbors similarity. AIMS Mathematics. 10(4). 9748–9772.
2.
Liu, Shihu, et al.. (2024). Similarity Measurement for Graph Data: An Improved Centrality and Geometric Perspective-Based Approach. Big Data Research. 36. 100462–100462. 1 indexed citations
3.
Liu, Shihu, et al.. (2024). Multi-view clustering based on pairwise co-regularization and robust dual graph non-negative matrix factorization. Neurocomputing. 611. 128594–128594. 2 indexed citations
4.
5.
Liu, Shihu & H. Gao. (2023). The Structure Entropy-Based Node Importance Ranking Method for Graph Data. Entropy. 25(6). 941–941. 5 indexed citations
6.
Zhang, Wuxia, et al.. (2023). Spectrum-Induced Transformer-Based Feature Learning for Multiple Change Detection in Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–12. 9 indexed citations
7.
8.
Liu, Shihu, et al.. (2022). On rough set based fuzzy clustering for graph data. International Journal of Machine Learning and Cybernetics. 13(11). 3463–3490. 4 indexed citations
9.
Li, Fang, Fusheng Yu, Xiao Wang, et al.. (2021). Integrate new cross association fuzzy logical relationships to multi-factor high-order forecasting model of time series. International Journal of Machine Learning and Cybernetics. 12(8). 2297–2315. 2 indexed citations
10.
Liu, Shihu, Ziyuan Lin, Jiong Zhou, et al.. (2021). Effect of Temperature Downshifts on Performance and Microbial Community Structure on Pilot-Scale Sequencing Batch Biofilm Reactors Treating Hypersaline Wastewater. SHILAP Revista de lepidopterología. 20(1). 341–347. 3 indexed citations
11.
Matsuo, Toshihiko, et al.. (2020). Step-by-Step Procedure to Test Photoelectric Dye-Coupled Polyethylene Film as Retinal Prosthesis to Induce Light-Evoked Spikes in Isolated Retinal Dystrophic Tissue of rd1 Mice. Okayama University Scientific Achievement Repository (Okayama University). 5. 2903. 3 indexed citations
12.
Zhao, Pengcheng, Shihu Liu, Wei Huang, et al.. (2020). Influence of eugenol on algal growth, cell physiology of cyanobacteria Microcystis aeruginosa and its interaction with signaling molecules. Chemosphere. 255. 126935–126935. 23 indexed citations
13.
Zhou, Jian, Ziyuan Lin, Yingmu Wang, et al.. (2020). Effects of COD/TN ratio on nitrogen removal efficiency, microbial community for high saline wastewater treatment based on heterotrophic nitrification-aerobic denitrification process. Bioresource Technology. 301. 122726–122726. 149 indexed citations
14.
Wang, Yingmu, et al.. (2019). Enhanced hydrolysis-acidification of high-solids and low-organic-content sludge by biological thermal-alkaline synergism. Bioresource Technology. 294. 122234–122234. 38 indexed citations
15.
Liu, Shihu, Fusheng Yu, & Patrick S. P. Wang. (2018). Granularity Approach for Multi-Criteria Decision Making About Hybrid Evaluation Information. International Journal of Pattern Recognition and Artificial Intelligence. 32(11). 1859020–1859020. 2 indexed citations
16.
Liu, Shihu, Fusheng Yu, & Patrick S. P. Wang. (2016). Rank Factor Granules with Fuzzy Collaborative Clustering and Factor Space Theory. International Journal of Pattern Recognition and Artificial Intelligence. 31(6). 1759008–1759008. 4 indexed citations
17.
Li, Daguang, Weiping Qin, Dan Zhao, et al.. (2015). Tunable green to red upconversion fluorescence of water-soluble hexagonal-phase core-shell CaF_2@NaYF_4 nanocrystals. Optical Materials Express. 6(1). 270–270. 14 indexed citations
18.
Liu, Shihu & Fusheng Yu. (2013). Hesitation degree-based similarity measures for intuitionistic fuzzy sets. International Journal of Information and Communication Technology. 6(1). 7–7. 2 indexed citations
19.
Xu, Weihua, Shihu Liu, & Wen‐Xiu Zhang. (2012). Lattice-valued information systems based on dominance relation. International Journal of Machine Learning and Cybernetics. 4(3). 245–257. 11 indexed citations
20.
Xu, Weihua, Shihu Liu, Qiaorong Wang, & Wen‐Xiu Zhang. (2010). The first type of graded rough set based on rough membership function. 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery. 1922–1926. 11 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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