Xibei Yang

924 total citations
26 papers, 693 citations indexed

About

Xibei Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Xibei Yang has authored 26 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Xibei Yang's work include Machine Learning and ELM (13 papers), Imbalanced Data Classification Techniques (13 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Xibei Yang is often cited by papers focused on Machine Learning and ELM (13 papers), Imbalanced Data Classification Techniques (13 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Xibei Yang collaborates with scholars based in China and United States. Xibei Yang's co-authors include Hualong Yu, Changyin Sun, Shang Zheng, Shang Gao, Xin Zuo, Wankou Yang, Chaoxu Mu, Yunsong Qi, Wankou Yang and Jifeng Shen and has published in prestigious journals such as IEEE Access, Information Sciences and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Xibei Yang

23 papers receiving 671 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xibei Yang China	11	543	149	116	75	51	26	693
Enislay Ramentol Germany	8	576 1.1×	230 1.5×	103 0.9×	90 1.2×	61 1.2×	10	796
Md. Monirul Islam India	5	706 1.3×	304 2.0×	88 0.8×	96 1.3×	94 1.8×	13	861
Xinmin Tao China	16	501 0.9×	169 1.1×	131 1.1×	41 0.5×	47 0.9×	40	750
Sukarna Barua Bangladesh	5	702 1.3×	304 2.0×	90 0.8×	97 1.3×	94 1.8×	7	891
Wenjie Guo China	11	403 0.7×	142 1.0×	110 0.9×	29 0.4×	39 0.8×	22	570
Rukshan Batuwita United Kingdom	5	403 0.7×	115 0.8×	133 1.1×	43 0.6×	32 0.6×	7	676
I C G Campbell	8	427 0.8×	76 0.5×	182 1.6×	47 0.6×	28 0.5×	10	667
Tuanfei Zhu China	8	373 0.7×	126 0.8×	54 0.5×	45 0.6×	32 0.6×	17	473
Junrong Zou China	9	323 0.6×	122 0.8×	86 0.7×	23 0.3×	38 0.7×	10	477
Nailah Al–Madi Jordan	11	312 0.6×	69 0.5×	80 0.7×	41 0.5×	18 0.4×	26	548

Countries citing papers authored by Xibei Yang

Since Specialization

Citations

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

Fields of papers citing papers by Xibei Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xibei Yang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yang, Xibei, et al.. (2024). MSFSS: A whale optimization-based multiple sampling feature selection stacking ensemble algorithm for classifying imbalanced data. AIMS Mathematics. 9(7). 17504–17530. 1 indexed citations

Gao, Shang, et al.. (2023). Improving performance of decision threshold moving-based strategies by integrating density-based clustering technique. Electronic Research Archive. 31(5). 2501–2518.

Gu, Yan, et al.. (2023). PLVI-CE: a multi-label active learning algorithm with simultaneously considering uncertainty and diversity. Applied Intelligence. 53(22). 27844–27864.

Gu, Yan, et al.. (2023). RUE: A robust personalized cost assignment strategy for class imbalance cost-sensitive learning. Journal of King Saud University - Computer and Information Sciences. 35(4). 36–49. 9 indexed citations

Yu, Hualong, et al.. (2022). Instance weighted SMOTE by indirectly exploring the data distribution. Knowledge-Based Systems. 249. 108919–108919. 38 indexed citations

Gu, Yan, et al.. (2022). DME: An Adaptive and Just-in-Time Weighted Ensemble Learning Method for Classifying Block-Based Concept Drift Steam. IEEE Access. 10. 120578–120591. 6 indexed citations

Zhang, Aimin, et al.. (2022). SMOTE-RkNN: A hybrid re-sampling method based on SMOTE and reverse k-nearest neighbors. Information Sciences. 595. 70–88. 73 indexed citations

Gu, Yan, Hualong Yu, Xibei Yang, & Shang Gao. (2022). Active Learning by Extreme Learning Machine with Considering Exploration and Exploitation Simultaneously. Neural Processing Letters. 55(4). 5245–5267. 2 indexed citations

Gao, Shang, et al.. (2020). Boosting label weighted extreme learning machine for classifying multi-label imbalanced data. Neurocomputing. 403. 360–370. 23 indexed citations

10.

Zhang, Chen, et al.. (2019). Grouped SMOTE With Noise Filtering Mechanism for Classifying Imbalanced Data. IEEE Access. 7. 170668–170681. 57 indexed citations

11.

Yu, Hualong, et al.. (2019). Fuzzy Support Vector Machine With Relative Density Information for Classifying Imbalanced Data. IEEE Transactions on Fuzzy Systems. 27(12). 2353–2367. 73 indexed citations

12.

Yu, Hualong, Xibei Yang, Shang Zheng, & Changyin Sun. (2018). Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine. IEEE Transactions on Neural Networks and Learning Systems. 30(4). 1088–1103. 115 indexed citations

13.

Chen, Xiangjian, et al.. (2018). Radar Emitter Signals Identification with a Optimal Recurrent Type 2 Wavelet Fuzzy Neural Network. International Journal of Aeronautical and Space Sciences. 19(3). 685–693. 5 indexed citations

14.

Zhang, Wendong, Xun Wang, Xibei Yang, Xiangjian Chen, & Pingxin Wang. (2018). Neighborhood attribute reduction for imbalanced data. Granular Computing. 4(3). 301–311. 6 indexed citations

15.

Yu, Hualong, et al.. (2018). LW-ELM: A Fast and Flexible Cost-Sensitive Learning Framework for Classifying Imbalanced Data. IEEE Access. 6. 28488–28500. 28 indexed citations

16.

Song, Xiaoning, et al.. (2016). Parity symmetrical collaborative representation-based classification for face recognition. International Journal of Machine Learning and Cybernetics. 8(5). 1485–1492. 7 indexed citations

17.

Yang, Xibei, et al.. (2015). Classification of imbalanced bioinformatics data by using boundary movement-based ELM. Bio-Medical Materials and Engineering. 26(1_suppl). S1855–62. 3 indexed citations

18.

Song, Xiaoning, Jingyu Yang, Xiao‐Jun Wu, & Xibei Yang. (2010). An optimal symmetrical null space criterion of Fisher discriminant for feature extraction and recognition. Soft Computing. 15(2). 281–293. 9 indexed citations

19.

Yang, Xibei. (2008). New image fusion method based on multi-scale analysis. Jisuanji gongcheng yu sheji.

20.

Yang, Xibei, et al.. (2005). Information granules in general and complete coverings. 675–678 Vol. 2. 10 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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