Yuefeng Li

6.5k total citations · 1 hit paper
238 papers, 3.7k citations indexed

About

Yuefeng Li is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Yuefeng Li has authored 238 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 157 papers in Artificial Intelligence, 127 papers in Information Systems and 32 papers in Computational Theory and Mathematics. Recurrent topics in Yuefeng Li's work include Web Data Mining and Analysis (50 papers), Data Mining Algorithms and Applications (47 papers) and Advanced Text Analysis Techniques (43 papers). Yuefeng Li is often cited by papers focused on Web Data Mining and Analysis (50 papers), Data Mining Algorithms and Applications (47 papers) and Advanced Text Analysis Techniques (43 papers). Yuefeng Li collaborates with scholars based in Australia, China and Hong Kong. Yuefeng Li's co-authors include Yue Xu, Kamal Berahmand, Ning Zhong, Raymond Y.K. Lau, Xiaohui Tao, Elahe Nasiri, Richi Nayak, Xujuan Zhou, Jinglan Zhang and Sheng‐Tang Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Communications and IEEE Transactions on Industrial Electronics.

In The Last Decade

Yuefeng Li

224 papers receiving 3.5k citations

Hit Papers

Autoencoders and their applications in machine learning: ... 2024 2026 2025 2024 50 100 150
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.

  1. Autoencoders and their applications in machine learning: a survey
    2024 192 citations Kamal Berahmand, Fatemeh Daneshfar et al. Artificial Intelligence Review profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuefeng Li Australia 34 2.1k 1.6k 449 431 358 238 3.7k
Behrouz Minaei‐Bidgoli Iran 35 1.9k 0.9× 868 0.6× 225 0.5× 353 0.8× 689 1.9× 211 3.7k
Meng Jiang United States 31 2.2k 1.0× 1.2k 0.7× 615 1.4× 554 1.3× 404 1.1× 127 3.5k
Myra Spiliopoulou Germany 27 1.2k 0.6× 1.2k 0.7× 368 0.8× 481 1.1× 332 0.9× 206 3.1k
Zhoujun Li China 40 3.5k 1.6× 1.3k 0.8× 548 1.2× 644 1.5× 1.1k 3.2× 338 5.2k
Andreas Hotho Germany 30 2.9k 1.3× 1.8k 1.2× 479 1.1× 1.2k 2.7× 481 1.3× 189 4.8k
Jordi Delgado Spain 12 2.3k 1.1× 712 0.5× 436 1.0× 455 1.1× 892 2.5× 21 4.5k
Yong Liu China 37 1.7k 0.8× 1.9k 1.2× 219 0.5× 706 1.6× 744 2.1× 225 4.6k
Yi Chang United States 35 3.7k 1.7× 1.8k 1.1× 576 1.3× 428 1.0× 767 2.1× 201 5.7k
Ramón Sangüesa Spain 9 2.3k 1.1× 718 0.5× 260 0.6× 403 0.9× 877 2.4× 19 4.2k
David Camacho Spain 32 1.7k 0.8× 734 0.5× 285 0.6× 827 1.9× 742 2.1× 265 4.4k

Countries citing papers authored by Yuefeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Yuefeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuefeng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yuefeng Li. A scholar is included among the top collaborators of Yuefeng Li 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 Yuefeng Li. Yuefeng Li 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, Zhe, Yuqing Song, Wenfeng Hao, et al.. (2024). HI-Net: Liver vessel segmentation with hierarchical inter-scale multi-scale feature fusion. Biomedical Signal Processing and Control. 96. 106604–106604. 6 indexed citations
2.
Hussain, Fizza, Yuefeng Li, & Md. Mazharul Haque. (2024). Integrating machine learning and extreme value theory for estimating crash frequency-by-severity via AI-based video analytics. SHILAP Revista de lepidopterología. 4. 100147–100147. 5 indexed citations
3.
Berahmand, Kamal, et al.. (2024). Autoencoders and their applications in machine learning: a survey. Artificial Intelligence Review. 57(2). 192 indexed citations breakdown →
4.
Alzubaidi, Laith, et al.. (2024). Generalisable deep Learning framework to overcome catastrophic forgetting. Intelligent Systems with Applications. 23. 200415–200415. 4 indexed citations
5.
Fu, Qiang, et al.. (2023). A supervised method to enhance distance-based neural network clustering performance by discovering perfect representative neurons. Granular Computing. 8(5). 1051–1065. 1 indexed citations
6.
Forouzandeh, Saman, Kamal Berahmand, Razieh Sheikhpour, & Yuefeng Li. (2023). A new method for recommendation based on embedding spectral clustering in heterogeneous networks (RESCHet). Expert Systems with Applications. 231. 120699–120699. 42 indexed citations
7.
Tao, Xiaohui, et al.. (2023). Topic Integrated Opinion-Based Drug Recommendation With Transformers. IEEE Transactions on Emerging Topics in Computational Intelligence. 7(6). 1676–1686. 6 indexed citations
8.
Alzubaidi, Laith, et al.. (2023). Deep Transfer Learning with Enhanced Feature Fusion for Detection of Abnormalities in X-ray Images. Cancers. 15(15). 4007–4007. 22 indexed citations
9.
Shaik, Thanveer, Xiaohui Tao, Niall Higgins, et al.. (2022). FedStack: Personalized activity monitoring using stacked federated learning. Knowledge-Based Systems. 257. 109929–109929. 40 indexed citations
10.
Li, Yuefeng, et al.. (2022). Assessing the effectiveness of a three-way decision-making framework with multiple features in simulating human judgement of opinion classification. Information Processing & Management. 59(2). 102823–102823. 8 indexed citations
11.
Berahmand, Kamal, Elahe Nasiri, Saman Forouzandeh, & Yuefeng Li. (2021). A preference random walk algorithm for link prediction through mutual influence nodes in complex networks. Journal of King Saud University - Computer and Information Sciences. 34(8). 5375–5387. 63 indexed citations
12.
Berahmand, Kamal, et al.. (2020). A new attributed graph clustering by using label propagation in complex networks. Journal of King Saud University - Computer and Information Sciences. 34(5). 1869–1883. 54 indexed citations
13.
Liang, Huizhi, Yue Xu, & Yuefeng Li. (2015). Personalized Recommender systems intergrating tags and item taxonomy. ANU Open Research (Australian National University).
14.
Xu, Yue, et al.. (2014). A combined method for mitigating sparsity problem in tag recommendation. QUT ePrints (Queensland University of Technology). 3 indexed citations
15.
Xu, Yue, et al.. (2012). Personalization in tag ontology learning for recommendation making. QUT ePrints (Queensland University of Technology). 6 indexed citations
16.
Lau, Raymond Y.K., et al.. (2011). Text mining and probabilistic language modeling for online review spam detecting. Science & Engineering Faculty. 12 indexed citations
17.
Li, Yuefeng, Xiaohui Tao, Abdulmohsen Algarni, & Sheng‐Tang Wu. (2009). Mining specific and general features in both positive and negative relevance feedback. Text REtrieval Conference. 5 indexed citations
18.
Liang, Huizhi, Yue Xu, Yuefeng Li, & Richi Nayak. (2009). Collaborative filtering recommender systems based on popular tags. QUT ePrints (Queensland University of Technology). 312–22. 5 indexed citations
19.
King, John D., Yuefeng Li, Xiaohui Tao, & Richi Nayak. (2007). Mining world knowledge for analysis of search engine content. Web Intelligence and Agent Systems An International Journal. 5(3). 233–253. 27 indexed citations
20.
Arch‐int, Ngamnij, et al.. (2003). Query Processing the Heterogeneous Information Sources Using Ontology-Based Approach. Computers and Their Applications. 438–441.

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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