Kaixiang Yang

1.7k total citations · 2 hit papers
85 papers, 901 citations indexed

About

Kaixiang Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Kaixiang Yang has authored 85 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 32 papers in Computer Vision and Pattern Recognition and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Kaixiang Yang's work include Machine Learning and ELM (19 papers), Face and Expression Recognition (14 papers) and Anomaly Detection Techniques and Applications (14 papers). Kaixiang Yang is often cited by papers focused on Machine Learning and ELM (19 papers), Face and Expression Recognition (14 papers) and Anomaly Detection Techniques and Applications (14 papers). Kaixiang Yang collaborates with scholars based in China, Hong Kong and Australia. Kaixiang Yang's co-authors include Zhiwen Yu, C. L. Philip Chen, Yifan Shi, Wuxing Chen, Wenming Cao, Hau−San Wong, Jane You, Qinmin Yang, Chengyuan Zhu and Huanqiang Zeng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Applied Energy and International Journal of Molecular Sciences.

In The Last Decade

Kaixiang Yang

72 papers receiving 887 citations

Hit Papers

align trajectories

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.

A survey on imbalanced learning: latest research, applications and future directions

2024 124 citations Wuxing Chen, Kaixiang Yang et al. profile →
Exploring Feature Selection With Limited Labels: A Comprehensive Survey of Semi-Supervised and Unsupervised Approaches

2024 52 citations Guojie Li, Zhiwen Yu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kaixiang Yang China	15	540	211	211	123	83	85	901
Xian-Bing Meng China	12	394 0.7×	120 0.6×	200 0.9×	159 1.3×	65 0.8×	22	814
Ahmad Nickabadi Iran	9	503 0.9×	191 0.9×	128 0.6×	162 1.3×	70 0.8×	31	906
Mohammed Jameel Yemen	9	714 1.3×	183 0.9×	227 1.1×	201 1.6×	96 1.2×	19	1.3k
Seyed Hamid Zahiri Iran	17	416 0.8×	119 0.6×	177 0.8×	106 0.9×	62 0.7×	81	865
Tsung-Ying Sun Taiwan	15	372 0.7×	302 1.4×	108 0.5×	171 1.4×	44 0.5×	75	936
Yanshan Xiao China	17	616 1.1×	511 2.4×	81 0.4×	107 0.9×	89 1.1×	100	1.0k
Zeinab Montazeri Iran	16	641 1.2×	107 0.5×	240 1.1×	159 1.3×	87 1.0×	18	1.1k
Dirmanto Jap Singapore	13	544 1.0×	156 0.7×	224 1.1×	73 0.6×	62 0.7×	48	871
M. Arif Wani India	14	228 0.4×	275 1.3×	87 0.4×	115 0.9×	84 1.0×	63	802

Countries citing papers authored by Kaixiang Yang

Since Specialization

Citations

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

Fields of papers citing papers by Kaixiang Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaixiang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kaixiang Yang. A scholar is included among the top collaborators of Kaixiang 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 Kaixiang Yang. Kaixiang 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

Yu, Zhiwen, et al.. (2025). Ensemble Approaches for Dynamic Data Stream Classification Under Label Scarcity. IEEE Transactions on Big Data. 11(6). 3047–3060. 2 indexed citations

Yu, Zhiwen, et al.. (2025). Hybrid Ensemble Framework for Imbalanced Data Streams With Concept Drift. IEEE Transactions on Big Data. 11(6). 3430–3442.

Yu, Zhiwen, et al.. (2025). Transferable and discriminative broad network for unsupervised domain adaptation. Knowledge-Based Systems. 315. 113297–113297.

Yu, Zhiwen, et al.. (2025). SimAD: A Simple Dissimilarity-Based Approach for Time-Series Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems. 36(11). 19669–19680.

Yu, Zhiwen, et al.. (2025). PatchAD: A Lightweight Patch-Based MLP-Mixer for Time Series Anomaly Detection. IEEE Transactions on Big Data. 11(6). 3460–3473. 2 indexed citations

Yu, Zhiwen, et al.. (2025). Ensemble Denoising Autoencoders Based on Broad Learning System for Time-Series Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 13913–13926. 6 indexed citations

Yang, Qinmin, et al.. (2025). Recent advances in vibration condition-based fault diagnosis of rotating machinery. Journal of Control and Decision. 13(1). 1–32.

Li, Qi, et al.. (2025). Enhancing named entity recognition with external knowledge from large language model. Knowledge-Based Systems. 318. 113471–113471. 4 indexed citations

Yu, Nancy, et al.. (2025). HumanMoD: A multi-RAG collaborative LLM for inclusive urban public healthcare services. Applied Soft Computing. 184. 113684–113684. 1 indexed citations

10.

Chen, Jiahui, et al.. (2025). Intermediate features matter in prototype-guided personalized federated learning. Information Fusion. 124. 103381–103381.

11.

Yu, Zhiwen, et al.. (2024). Multiview ensemble clustering of hypergraph p-Laplacian regularization with weighting and denoising. Information Sciences. 681. 121187–121187. 1 indexed citations

12.

Zhu, Chengyuan, et al.. (2024). Multidimensional information fusion and broad learning system-based condition recognition for energy pipeline safety. Knowledge-Based Systems. 300. 112259–112259. 8 indexed citations

13.

Zhang, Weiwen, et al.. (2024). Self-balancing Incremental Broad Learning System with privacy protection. Neural Networks. 178. 106436–106436. 3 indexed citations

14.

Li, Honghao, et al.. (2024). iNP_ESM: Neuropeptide Identification Based on Evolutionary Scale Modeling and Unified Representation Embedding Features. International Journal of Molecular Sciences. 25(13). 7049–7049. 1 indexed citations

15.

Yu, Zhiwen, et al.. (2024). Adaptive Memory Broad Learning System for Unsupervised Time Series Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 8331–8345. 13 indexed citations

16.

Lu, Hang, et al.. (2024). Vision-Assisted Cross-Modal Haptic Data Compression for Immersive Communication. 1–6. 2 indexed citations

17.

Li, Guojie, Zhiwen Yu, Kaixiang Yang, C. L. Philip Chen, & Xuelong Li. (2024). Ensemble-Enhanced Semi-Supervised Learning With Optimized Graph Construction for High-Dimensional Data. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(2). 1103–1119. 5 indexed citations

18.

Yu, Zhiwen, et al.. (2024). Boosting Adaptive Weighted Broad Learning System for Multi-Label Learning. IEEE/CAA Journal of Automatica Sinica. 11(11). 2204–2219. 2 indexed citations

19.

Yang, Kaixiang, et al.. (2024). Di-GraphGAN: An enhanced adversarial learning framework for accurate spatial-temporal traffic forecasting under data missing scenarios. Information Sciences. 677. 120911–120911. 8 indexed citations

20.

Yu, Zhiwen, et al.. (2024). Insightful Simplicity: Dissimilarity in Time Series Anomaly Detection. 242–243. 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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