Yimin Wen

540 total citations
30 papers, 299 citations indexed

About

Yimin Wen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yimin Wen has authored 30 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Yimin Wen's work include Data Stream Mining Techniques (9 papers), Machine Learning and Data Classification (5 papers) and Face and Expression Recognition (4 papers). Yimin Wen is often cited by papers focused on Data Stream Mining Techniques (9 papers), Machine Learning and Data Classification (5 papers) and Face and Expression Recognition (4 papers). Yimin Wen collaborates with scholars based in China and Australia. Yimin Wen's co-authors include Hang Yu, Jie Lü, Guangquan Zhang, Tianyu Liu, Qingyong Zhang, Yun Xue, Guoyong Cai, Qing Zhou, Ye Tian and Bin Zou and has published in prestigious journals such as International Journal of Molecular Sciences, Pattern Recognition and Information Sciences.

In The Last Decade

Yimin Wen

24 papers receiving 290 citations

Peers

Yimin Wen
A. Merbouha Morocco
Dongjie Wang United States
Alina Lazar United States
Kalyan Kumar Jena India
Qinghua Liu China
Thorben Iggena Germany
Şefki Kolozali United Kingdom
Mostafijur Rahman Bangladesh
Shouxu Jiang China
José del Campo-Ávila Spain
A. Merbouha Morocco
Yimin Wen
Citations per year, relative to Yimin Wen Yimin Wen (= 1×) peers A. Merbouha

Countries citing papers authored by Yimin Wen

Since Specialization
Citations

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

Fields of papers citing papers by Yimin Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yimin Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Yimin Wen. A scholar is included among the top collaborators of Yimin Wen 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 Yimin Wen. Yimin Wen 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
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Wen, Yimin, et al.. (2025). Genome-Wide Identification of the BXL Gene Family in Soybean and Expression Analysis Under Salt Stress. International Journal of Molecular Sciences. 26(19). 9534–9534.
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Wen, Yimin, et al.. (2025). TourismNER: A Tourism Named Entity Recognition method based on entity boundary joint prediction. Intelligent Systems with Applications. 25. 200475–200475.
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Wen, Yimin, et al.. (2025). Unlearning Recently Learned Data to Preserve Historical Learning for Dynamic Data Stream Classification. Chinese Journal of Electronics. 34(3). 849–860.
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Wen, Yimin, et al.. (2024). Adaptive tree-like neural network: Overcoming catastrophic forgetting to classify streaming data with concept drifts. Knowledge-Based Systems. 293. 111636–111636. 10 indexed citations
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Wang, Maofa, Lu Zhang, Pengcheng Wang, et al.. (2024). Optimizing Precipitation Forecasting and Agricultural Water Resource Allocation Using the Gaussian-Stacked-LSTM Model. Atmosphere. 15(11). 1308–1308. 2 indexed citations
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Li, Weiliang, et al.. (2024). Multi-behavior-based graph contrastive learning recommendation. Knowledge and Information Systems. 66(6). 3477–3496. 3 indexed citations
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Yu, Hang, et al.. (2022). Detecting group concept drift from multiple data streams. Pattern Recognition. 134. 109113–109113. 44 indexed citations
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Wen, Yimin, et al.. (2021). Minimum attribute reduction algorithm based on quick extraction and multi-strategy social spider optimization. Journal of Intelligent & Fuzzy Systems. 40(6). 12023–12038. 3 indexed citations
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Xue, Yun, et al.. (2021). Retrieval of Chlorophyll a Concentration in Water Considering High-Concentration Samples and Spectral Absorption Characteristics. Sustainability. 13(21). 12144–12144. 3 indexed citations
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Wen, Yimin, et al.. (2020). Gallery-sensitive single sample face recognition based on domain adaptation. Neurocomputing. 458. 626–638. 2 indexed citations
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Xue, Yun, et al.. (2020). Hyperspectral Inversion of Chromium Content in Soil Using Support Vector Machine Combined with Lab and Field Spectra. Sustainability. 12(11). 4441–4441. 22 indexed citations
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Wen, Yimin, et al.. (2019). Online transfer learning with multiple decision trees. International Journal of Machine Learning and Cybernetics. 10(10). 2941–2962. 4 indexed citations
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Xu, Zhi, et al.. (2017). Image set-based classification using collaborative exemplars representation. Signal Image and Video Processing. 12(4). 607–615. 2 indexed citations
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Li, Yunpeng, et al.. (2015). Adding the sentiment attribute of nodes to improve link prediction in social network. 390. 1263–1269. 6 indexed citations
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Wen, Yimin, et al.. (2014). Drift Detection for Multi-label Data Streams Based on Label Grouping and Entropy. 724–731. 14 indexed citations
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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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2026