Yuanting Yan

773 total citations
35 papers, 507 citations indexed

About

Yuanting Yan is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yuanting Yan has authored 35 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 9 papers in Electrical and Electronic Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yuanting Yan's work include Imbalanced Data Classification Techniques (12 papers), Electricity Theft Detection Techniques (8 papers) and Machine Learning and Data Classification (8 papers). Yuanting Yan is often cited by papers focused on Imbalanced Data Classification Techniques (12 papers), Electricity Theft Detection Techniques (8 papers) and Machine Learning and Data Classification (8 papers). Yuanting Yan collaborates with scholars based in China, Canada and Poland. Yuanting Yan's co-authors include Yanping Zhang, Xiuquan Du, Yiwen Zhang, Yu Yao, Shiwei Sun, Chang-Lin Hu, Yuanwei Zhu, Yanping Zhang, Ruiqing Liu and Peng Zhou and has published in prestigious journals such as International Journal of Molecular Sciences, Expert Systems with Applications and IEEE Access.

In The Last Decade

Yuanting Yan

31 papers receiving 500 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuanting Yan China 12 229 209 101 85 49 35 507
Lijun Cai China 12 135 0.6× 54 0.3× 45 0.4× 33 0.4× 15 0.3× 42 365
Jingjie Ni China 3 329 1.4× 121 0.6× 47 0.5× 16 0.2× 203 4.1× 5 492
Raj Bhatnagar United States 11 166 0.7× 79 0.4× 62 0.6× 18 0.2× 39 0.8× 55 377
K. V. Prema India 11 84 0.4× 117 0.6× 133 1.3× 49 0.6× 75 1.5× 55 521
Chenxi Wang China 10 452 2.0× 32 0.2× 137 1.4× 40 0.5× 149 3.0× 28 560
Nele Verbiest Belgium 11 329 1.4× 13 0.1× 227 2.2× 49 0.6× 50 1.0× 18 503
Peter Brockhausen Germany 5 185 0.8× 42 0.2× 18 0.2× 16 0.2× 77 1.6× 7 331
Zhongmin Yan China 11 212 0.9× 28 0.1× 25 0.2× 27 0.3× 70 1.4× 78 354

Countries citing papers authored by Yuanting Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yuanting Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanting Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanting Yan. A scholar is included among the top collaborators of Yuanting Yan 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 Yuanting Yan. Yuanting Yan 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.
Yan, Yuanting, et al.. (2025). Constructive sample partition-based parameter-free sampling for class-overlapped imbalanced data classification. Applied Intelligence. 55(7). 1 indexed citations
2.
Yan, Yuanting, et al.. (2025). GDHS: An efficient hybrid sampling method for multi-class imbalanced data classification. Neurocomputing. 637. 130088–130088. 1 indexed citations
3.
Yan, Yuanting, et al.. (2025). Data gravitation-based three-way sampling method for imbalanced data classification. Information Sciences. 718. 122416–122416. 1 indexed citations
4.
Zhang, Hao, et al.. (2025). GraphMamba: Graph-driven spatial order-aware Mamba for medical image segmentation. Pattern Recognition. 171. 112231–112231.
5.
6.
Yan, Yuanting, Zhong Zheng, Yiwen Zhang, Yanping Zhang, & Yiyu Yao. (2024). CPS-3WS: A critical pattern supported three-way sampling method for classifying class-overlapped imbalanced data. Information Sciences. 676. 120835–120835. 7 indexed citations
7.
Zhou, Peng, et al.. (2024). Explainable feature selection and ensemble classification via feature polarity. Information Sciences. 676. 120818–120818. 2 indexed citations
8.
Zhou, Peng, et al.. (2024). Concept Evolution Detecting over Feature Streams. ACM Transactions on Knowledge Discovery from Data. 18(8). 1–32.
9.
Zhou, Peng, Shuai Zhang, Lin Mu, & Yuanting Yan. (2024). Online learning from capricious data streams via shared and new feature spaces. Applied Intelligence. 54(19). 9429–9445. 1 indexed citations
10.
Zhou, Peng, et al.. (2024). Online Heterogeneous Streaming Feature Selection Without Feature Type Information. IEEE Transactions on Big Data. 10(4). 470–485. 6 indexed citations
11.
Yan, Yuanting, et al.. (2024). Synthetic oversampling with Mahalanobis distance and local information for highly imbalanced class-overlapped data. Expert Systems with Applications. 260. 125422–125422. 12 indexed citations
12.
Wang, Jiancheng, et al.. (2024). Robust Label Propagation and Graph Embedding for Cross-Domain Image Classification. IEEE Internet of Things Journal. 12(4). 3680–3688. 1 indexed citations
13.
Zhao, Shu, et al.. (2024). Enhancing the Transferability of Adversarial Point Clouds by Initializing Transferable Adversarial Noise. IEEE Signal Processing Letters. 32. 201–205. 1 indexed citations
14.
Yan, Yuanting, et al.. (2021). Robust gravitation based adaptive k-NN graph under class-imbalanced scenarios. Knowledge-Based Systems. 239. 108002–108002. 1 indexed citations
15.
Yan, Yuanting, et al.. (2021). LDAS: Local density-based adaptive sampling for imbalanced data classification. Expert Systems with Applications. 191. 116213–116213. 33 indexed citations
16.
Yan, Yuanting, et al.. (2019). A Parameter-Free Cleaning Method for SMOTE in Imbalanced Classification. IEEE Access. 7. 23537–23548. 54 indexed citations
17.
Yan, Yuanting, et al.. (2016). Incomplete data classification with voting based extreme learning machine. Neurocomputing. 193. 167–175. 14 indexed citations
18.
Yan, Yuanting, Yanping Zhang, Yiwen Zhang, & Xiuquan Du. (2016). A selective neural network ensemble classification for incomplete data. International Journal of Machine Learning and Cybernetics. 8(5). 1513–1524. 18 indexed citations
19.
Yan, Yuanting. (2011). Evolutionary Game Incentive Model for Resource Sharing P2P Network. Jisuanji gongcheng. 1 indexed citations
20.
Yan, Yuanting. (2010). Design and Implementation of Cloud Computing Educational Service Platform Based on P2P. Computer education.

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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