Wenbin Cai

628 total citations · 3 hit papers
16 papers, 386 citations indexed

About

Wenbin Cai is a scholar working on Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Wenbin Cai has authored 16 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Control and Systems Engineering. Recurrent topics in Wenbin Cai's work include Machine Learning and Algorithms (8 papers), Machine Learning and Data Classification (7 papers) and Algorithms and Data Compression (4 papers). Wenbin Cai is often cited by papers focused on Machine Learning and Algorithms (8 papers), Machine Learning and Data Classification (7 papers) and Algorithms and Data Compression (4 papers). Wenbin Cai collaborates with scholars based in China and United States. Wenbin Cai's co-authors include Ya Zhang, Dezun Zhao, Jun Zhou, Lingli Cui, Muhan Zhang, Jun Hu, Zhu Qingbao, Tianyang Wang, Wenquan Wang and Siyuan Zhou and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Applied Soft Computing and Reliability Engineering & System Safety.

In The Last Decade

Wenbin Cai

15 papers receiving 372 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.

Adaptive thresholding and coordinate attention-based tree-inspired network for aero-engine bearing health monitoring under strong noise

2024 65 citations Dezun Zhao, Wenbin Cai et al. Advanced Engineering Informatics profile →
Multi-perception graph convolutional tree-embedded network for aero-engine bearing health monitoring with unbalanced data

2025 33 citations Dezun Zhao, Wenbin Cai et al. Reliability Engineering & System Safety profile →
Multi-scale dynamic graph mutual information network for planet bearing health monitoring under imbalanced data

2025 16 citations Wenbin Cai, Dezun Zhao et al. Advanced Engineering Informatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wenbin Cai China	9	167	114	84	67	32	16	386
Zenglong Peng China	4	95 0.6×	86 0.8×	63 0.8×	30 0.4×	32 1.0×	13	309
Ke Zhao China	10	73 0.4×	114 1.0×	31 0.4×	50 0.7×	25 0.8×	40	354
Jier Qiu China	7	97 0.6×	204 1.8×	56 0.7×	133 2.0×	19 0.6×	12	443
Le Liu China	12	86 0.5×	236 2.1×	33 0.4×	89 1.3×	68 2.1×	63	430
Xiangyang Zhang China	8	60 0.4×	201 1.8×	129 1.5×	56 0.8×	11 0.3×	12	440
Ehsan Zakeri Iran	13	74 0.4×	279 2.4×	91 1.1×	81 1.2×	22 0.7×	36	511
Quan Yuan China	9	91 0.5×	120 1.1×	63 0.8×	40 0.6×	119 3.7×	54	387
Seyed Alireza Moezi Iran	13	67 0.4×	235 2.1×	56 0.7×	79 1.2×	20 0.6×	25	450
Eugene Fang United States	8	162 1.0×	162 1.4×	205 2.4×	67 1.0×	19 0.6×	15	444
Lulu Tang Macao	9	77 0.5×	56 0.5×	258 3.1×	32 0.5×	20 0.6×	18	589

Countries citing papers authored by Wenbin Cai

Since Specialization

Citations

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

Fields of papers citing papers by Wenbin Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenbin Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Wenbin Cai. A scholar is included among the top collaborators of Wenbin Cai 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 Wenbin Cai. Wenbin Cai 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:

16 of 16 papers shown

Zhao, Dezun, Wenbin Cai, & Lingli Cui. (2025). Multi-perception graph convolutional tree-embedded network for aero-engine bearing health monitoring with unbalanced data. Reliability Engineering & System Safety. 257. 110888–110888. 33 indexed citations breakdown →

Cai, Wenbin, Dezun Zhao, & Tianyang Wang. (2025). Multi-scale dynamic graph mutual information network for planet bearing health monitoring under imbalanced data. Advanced Engineering Informatics. 64. 103096–103096. 16 indexed citations breakdown →

Cai, Wenbin, Dezun Zhao, & Tianyang Wang. (2025). Spatial-temporal graph attention contrastive learning for semi-supervised bearing fault diagnosis with limited labeled samples. Computers & Industrial Engineering. 204. 111106–111106. 8 indexed citations

Zhao, Dezun, Wenbin Cai, & Lingli Cui. (2024). Adaptive thresholding and coordinate attention-based tree-inspired network for aero-engine bearing health monitoring under strong noise. Advanced Engineering Informatics. 61. 102559–102559. 65 indexed citations breakdown →

Cai, Wenbin, et al.. (2017). Stopping Criterion for Active Learning with Model Stability. ACM Transactions on Intelligent Systems and Technology. 9(2). 1–26. 4 indexed citations

Cai, Wenbin, et al.. (2017). Active Learning for Classification with Maximum Model Change. ACM Transactions on Information Systems. 36(2). 1–28. 27 indexed citations

Cai, Wenbin, Muhan Zhang, & Ya Zhang. (2016). Batch Mode Active Learning for Regression With Expected Model Change. IEEE Transactions on Neural Networks and Learning Systems. 28(7). 1668–1681. 49 indexed citations

Cai, Wenbin, Muhan Zhang, & Ya Zhang. (2015). Active Learning for Web Search Ranking via Noise Injection. ACM Transactions on the Web. 9(1). 1–31. 1 indexed citations

Cai, Wenbin, Muhan Zhang, & Ya Zhang. (2015). Active learning for ranking with sample density. Information Retrieval. 18(2). 123–144. 10 indexed citations

10.

Wang, Wenquan, Wenbin Cai, & Ya Zhang. (2014). Stability-Based Stopping Criterion for Active Learning. 2. 1019–1024. 5 indexed citations

11.

Cai, Wenbin, Ya Zhang, & Jun Zhou. (2013). Maximizing Expected Model Change for Active Learning in Regression. 51–60. 103 indexed citations

12.

Cai, Wenbin & Ya Zhang. (2012). Variance maximization via noise injection for active sampling in learning to rank. 1809–1813. 5 indexed citations

13.

Qingbao, Zhu, et al.. (2011). A new robot navigation algorithm for dynamic unknown environments based on dynamic path re-computation and an improved scout ant algorithm. Applied Soft Computing. 11(8). 4667–4676. 50 indexed citations

14.

Cai, Wenbin, Zhu Qingbao, & Jun Hu. (2010). Path Planning Based on Biphasic Ant Colony Algorithm and Fuzzy Control in Dynamic Environment. 25. 333–336. 9 indexed citations

15.

Cai, Wenbin, et al.. (2004). [UV-vis spectrometric characterization of the composition of active complex in the Ni-P plating solution].. PubMed. 24(7). 837–40.

16.

Cai, Wenbin. (2000). On General Legal Principles of Administrative Law. 1 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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