Yunsheng Song

618 total citations · 1 hit paper
19 papers, 395 citations indexed

About

Yunsheng Song is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Yunsheng Song has authored 19 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Yunsheng Song's work include Machine Learning and Data Classification (6 papers), Imbalanced Data Classification Techniques (4 papers) and Face and Expression Recognition (3 papers). Yunsheng Song is often cited by papers focused on Machine Learning and Data Classification (6 papers), Imbalanced Data Classification Techniques (4 papers) and Face and Expression Recognition (3 papers). Yunsheng Song collaborates with scholars based in China, Saudi Arabia and Lebanon. Yunsheng Song's co-authors include Jiye Liang, Jing Lu, Xingwang Zhao, Xinyue Zhao, Н. П. Маслова, Jianhua Jin, Тatiana M. Kodrul, Chao Zhang, Jing Zhang and Shuo Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurocomputing and American Journal of Botany.

In The Last Decade

Yunsheng Song

17 papers receiving 385 citations

Hit Papers

An efficient instance selection algorithm for k nearest n... 2017 2026 2020 2023 2017 50 100 150 200 250
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. An efficient instance selection algorithm for k nearest neighbor regression
    2017 288 citations Yunsheng Song, Jiye Liang et al. Neurocomputing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunsheng Song China 6 105 53 42 40 39 19 395
Hanli Qiao China 8 117 1.1× 41 0.8× 31 0.7× 38 0.9× 60 1.5× 16 496
Taoseef Ishtiak Bangladesh 4 105 1.0× 50 0.9× 41 1.0× 21 0.5× 41 1.1× 7 454
Maulana Azad Iran 6 110 1.0× 56 1.1× 76 1.8× 55 1.4× 57 1.5× 10 484
Fuseini Mumuni Ghana 7 137 1.3× 131 2.5× 37 0.9× 39 1.0× 25 0.6× 12 535
A. Helen Victoria India 4 114 1.1× 37 0.7× 68 1.6× 32 0.8× 40 1.0× 6 405
Hanen Borchani Spain 6 200 1.9× 85 1.6× 43 1.0× 30 0.8× 47 1.2× 8 506
Gaurang Panchal India 5 88 0.8× 57 1.1× 67 1.6× 31 0.8× 50 1.3× 8 402
Адилхан Сымагулов Kazakhstan 8 97 0.9× 69 1.3× 24 0.6× 24 0.6× 55 1.4× 18 379
Wenhao Lai China 11 96 0.9× 47 0.9× 72 1.7× 79 2.0× 21 0.5× 30 416

Countries citing papers authored by Yunsheng Song

Since Specialization
Citations

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

Fields of papers citing papers by Yunsheng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunsheng Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yunsheng Song. A scholar is included among the top collaborators of Yunsheng Song 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 Yunsheng Song. Yunsheng Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
2.
3.
Zhao, Xinyue, Jianing Huang, Jing Zhang, & Yunsheng Song. (2024). The Comprehensive Analysis of the Effect of Chinese Word Segmentation on Fuzzy-Based Classification Algorithms for Agricultural Questions. International Journal of Fuzzy Systems. 26(8). 2726–2749. 2 indexed citations
4.
Chen, Shuo, et al.. (2024). RT-DETR-Tomato: Tomato Target Detection Algorithm Based on Improved RT-DETR for Agricultural Safety Production. Applied Sciences. 14(14). 6287–6287. 17 indexed citations
5.
Sangaiah, Arun Kumar, et al.. (2023). A Network Clustering Algorithm for Protein Complex Detection Fused with Power-Law Distribution Characteristic. Electronics. 12(14). 3007–3007.
6.
Sun, Bo, et al.. (2023). Radial-based undersampling approach with adaptive undersampling ratio determination. Neurocomputing. 553. 126544–126544. 11 indexed citations
7.
Song, Yunsheng, Jing Zhang, Xinyue Zhao, & Jie Wang. (2023). An Accelerator for Semi-Supervised Classification with Granulation Selection. Electronics. 12(10). 2239–2239. 1 indexed citations
8.
Song, Yunsheng, et al.. (2023). SE-Lightweight YOLO: Higher Accuracy in YOLO Detection for Vehicle Inspection. Applied Sciences. 13(24). 13052–13052. 18 indexed citations
9.
Cheng, Changxiu, et al.. (2022). Improving the Prediction of Soil Organic Matter in Arable Land Using Human Activity Factors. Water. 14(10). 1668–1668. 5 indexed citations
10.
Song, Yunsheng, et al.. (2022). A Large‐Scale k‐Nearest Neighbor Classification Algorithm Based on Neighbor Relationship Preservation. Wireless Communications and Mobile Computing. 2022(1). 4 indexed citations
11.
Song, Yunsheng, Jing Zhang, & Chao Zhang. (2022). A survey of large-scale graph-based semi-supervised classification algorithms. SHILAP Revista de lepidopterología. 3. 188–198. 10 indexed citations
12.
Song, Yunsheng, et al.. (2021). Fast Training Logistic Regression via Adaptive Sampling. Scientific Programming. 2021. 1–11. 4 indexed citations
13.
Liang, Jiye, et al.. (2020). An accelerator for the logistic regression algorithm based on sampling on-demand. Science China Information Sciences. 63(6). 5 indexed citations
14.
Sun, Bo, et al.. (2020). K-means Clustering Based Undersampling for Lower Back Pain Data. 53–57. 4 indexed citations
15.
Song, Yunsheng, et al.. (2018). An accelerator for support vector machines based on the local geometrical information and data partition. International Journal of Machine Learning and Cybernetics. 10(9). 2389–2400. 4 indexed citations
16.
Song, Yunsheng, Jiye Liang, Jing Lu, & Xingwang Zhao. (2017). An efficient instance selection algorithm for k nearest neighbor regression. Neurocomputing. 251. 26–34. 288 indexed citations breakdown →
17.
Маслова, Н. П., et al.. (2015). Liquidambar maomingensis sp. nov. (Altingiaceae) from the late Eocene of South China. American Journal of Botany. 102(8). 1356–1370. 18 indexed citations
18.
Zhang, Xiaoqin & Yunsheng Song. (2011). A new method on similarity of fingerprints and its critical value determination. 20. 2041–2045.
19.
Song, Yunsheng. (2004). Study on the preparation and properties of glycosaminoglycans from the ink of Sepiella maindroni de Rochebrune. Zhongguo haiyang yaowu. 2 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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