Yanfeng Shu

700 total citations
26 papers, 360 citations indexed

About

Yanfeng Shu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, Yanfeng Shu has authored 26 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 9 papers in Artificial Intelligence and 5 papers in Information Systems and Management. Recurrent topics in Yanfeng Shu's work include Peer-to-Peer Network Technologies (5 papers), Advanced Database Systems and Queries (5 papers) and Semantic Web and Ontologies (5 papers). Yanfeng Shu is often cited by papers focused on Peer-to-Peer Network Technologies (5 papers), Advanced Database Systems and Queries (5 papers) and Semantic Web and Ontologies (5 papers). Yanfeng Shu collaborates with scholars based in Australia, Singapore and China. Yanfeng Shu's co-authors include Kian‐Lee Tan, Bei Yu, Aoying Zhou, Heng Tao Shen, Kerry Taylor, Xiaofang Zhou, Beng Chin Ooi, Ahsan Morshed, Henning Köhler and Cécile Paris and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Knowledge-Based Systems and Environmental Modelling & Software.

In The Last Decade

Yanfeng Shu

25 papers receiving 332 citations

Peers

Yanfeng Shu
Daniel Lieuwen United States
Haitao Xu China
Saadia Malik Saudi Arabia
Kevin McDonald United Kingdom
Rajeev R. Raje United States
Daniel Lieuwen United States
Yanfeng Shu
Citations per year, relative to Yanfeng Shu Yanfeng Shu (= 1×) peers Daniel Lieuwen

Countries citing papers authored by Yanfeng Shu

Since Specialization
Citations

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

Fields of papers citing papers by Yanfeng Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanfeng Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Yanfeng Shu. A scholar is included among the top collaborators of Yanfeng Shu 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 Yanfeng Shu. Yanfeng Shu 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.
Wang, Chen, et al.. (2024). Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models. 1119–1130. 9 indexed citations
2.
Shu, Yanfeng, et al.. (2023). Entity alignment via graph neural networks: a component-level study. World Wide Web. 26(6). 4069–4092. 3 indexed citations
3.
Samadiani, Najmeh, Guangyan Huang, Wei Luo, et al.. (2020). A multiple feature fusion framework for video emotion recognition in the wild. Concurrency and Computation Practice and Experience. 34(8). 15 indexed citations
4.
He, Jing, et al.. (2020). DeepHealth: Deep Representation Learning with Autoencoders for Healthcare Prediction. Swinburne Research Bank (Swinburne University of Technology). 42–49. 3 indexed citations
5.
Shu, Yanfeng. (2018). A practical approach to modelling and validating integrity constraints in the Semantic Web. Knowledge-Based Systems. 153. 29–39. 7 indexed citations
6.
Shu, Yanfeng, et al.. (2016). Semantic validation of environmental observations data. Environmental Modelling & Software. 79. 10–21. 13 indexed citations
7.
Dutta, Ritaban, et al.. (2014). Salad leaf disease detection using machine learning based hyper spectral sensing. eCite Digital Repository (University of Tasmania). 511–514. 4 indexed citations
8.
Shu, Yanfeng, et al.. (2014). A semantic approach to data translation: A case study of environmental observations data. Knowledge-Based Systems. 75. 104–123. 8 indexed citations
9.
Bishop-Hurley, Greg, D. Henry, Daniel Smith, et al.. (2014). An investigation of cow feeding behavior using motion sensors. eCite Digital Repository (University of Tasmania). 1285–1290. 15 indexed citations
10.
Müller, Heiko, Liliana Cabral, Ahsan Morshed, & Yanfeng Shu. (2013). From RESTful to SPARQL: a case study on generating semantic sensor data. 51–66. 15 indexed citations
11.
Shu, Yanfeng, et al.. (2012). Modelling provenance in hydrologic science: a case study on streamflow forecasting. Journal of Hydroinformatics. 14(4). 944–959. 10 indexed citations
12.
Shu, Yanfeng, et al.. (2010). Semantic water data translation. 52–60. 1 indexed citations
13.
Colineau, Nathalie, et al.. (2009). Supporting family engagement in weight management. 3991–3996. 18 indexed citations
14.
Zhou, Xiangmin, Xiaofang Zhou, Lei Chen, et al.. (2009). Adaptive Subspace Symbolization for Content-Based Video Detection. IEEE Transactions on Knowledge and Data Engineering. 22(10). 1372–1387. 16 indexed citations
15.
Guru, Siddeswara, Peter M. Taylor, Holger Neuhaus, et al.. (2008). Hydrological Sensor Web for the South Esk Catchment in the Tasmanian state of Australia. 432–433. 10 indexed citations
16.
Shu, Yanfeng, et al.. (2005). Dynamic buffer management with extensible replacement policies. The VLDB Journal. 15(2). 99–120. 2 indexed citations
17.
Shu, Yanfeng, et al.. (2005). Supporting Multi-Dimensional Range Queries in Peer-to-Peer Systems. National University of Singapore. 173–180. 76 indexed citations
18.
Shen, Heng Tao, Yanfeng Shu, & Bei Yu. (2004). Efficient Semantic-Based Content Search in P2P Network. IEEE Transactions on Knowledge and Data Engineering. 16(7). 813–826. 59 indexed citations
19.
Ooi, Beng Chin, Xiaoyu Wang, Ming Zhang, et al.. (2003). PeerDB. 1 indexed citations
20.
Ooi, Beng Chin, Kian‐Lee Tan, Aoying Zhou, et al.. (2003). PeerDB. 659–659. 7 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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