Kezhi Mao

10.1k total citations · 3 hit papers
125 papers, 6.1k citations indexed

About

Kezhi Mao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Kezhi Mao has authored 125 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Artificial Intelligence, 47 papers in Computer Vision and Pattern Recognition and 19 papers in Control and Systems Engineering. Recurrent topics in Kezhi Mao's work include Topic Modeling (21 papers), Neural Networks and Applications (19 papers) and Face and Expression Recognition (18 papers). Kezhi Mao is often cited by papers focused on Topic Modeling (21 papers), Neural Networks and Applications (19 papers) and Face and Expression Recognition (18 papers). Kezhi Mao collaborates with scholars based in Singapore, China and United States. Kezhi Mao's co-authors include Rui Zhao, Ruqiang Yan, Zhenghua Chen, Robert X. Gao, Peng Wang, Jinjiang Wang, Dongzhe Wang, Fei Shen, Guang-Bin Huang and W. Ser and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Industrial Electronics and Expert Systems with Applications.

In The Last Decade

Kezhi Mao

122 papers receiving 5.9k 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.

Deep learning and its applications to machine health monitoring

2018 1.9k citations Kezhi Mao et al. profile →
Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks

2017 675 citations Dongzhe Wang, Kezhi Mao et al. profile →
Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks

2017 578 citations Kezhi Mao et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kezhi Mao Singapore	28	2.4k	2.1k	1.6k	859	771	125	6.1k
Huimin Zhao China	33	2.4k 1.0×	2.2k 1.1×	1.2k 0.8×	792 0.9×	776 1.0×	103	6.7k
Tommy W. S. Chow Hong Kong	49	2.3k 1.0×	2.8k 1.3×	1.1k 0.7×	2.0k 2.3×	917 1.2×	275	7.5k
Yi Chai China	43	2.4k 1.0×	1.0k 0.5×	894 0.6×	1.6k 1.9×	1.2k 1.5×	401	7.3k
Rui Zhao China	27	3.3k 1.4×	1.9k 0.9×	2.4k 1.6×	536 0.6×	878 1.1×	84	7.0k
Vladimir Stojanović Serbia	61	3.2k 1.3×	1.8k 0.9×	941 0.6×	1.0k 1.2×	758 1.0×	87	6.9k
Hao Luo China	36	3.9k 1.6×	1.1k 0.6×	1.5k 0.9×	502 0.6×	750 1.0×	238	6.6k
Caro Lucas Iran	34	1.4k 0.6×	2.4k 1.1×	478 0.3×	470 0.5×	1.2k 1.6×	181	6.2k
Wei Wang China	47	4.2k 1.8×	1.4k 0.7×	919 0.6×	611 0.7×	1.2k 1.6×	493	8.6k
Changhua Hu China	34	1.6k 0.7×	1.8k 0.9×	482 0.3×	424 0.5×	843 1.1×	162	6.4k
Chengliang Liu China	51	1.8k 0.8×	637 0.3×	1.6k 1.0×	393 0.5×	741 1.0×	253	6.7k

Countries citing papers authored by Kezhi Mao

Since Specialization

Citations

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

Fields of papers citing papers by Kezhi Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kezhi Mao

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

Li, Xinze, et al.. (2025). A Robust Artificial Intelligence-Empowered Adaptive Proportional-Integral Control for Wireless Power Transfer Systems. IEEE Transactions on Industry Applications. 62(1). 1433–1443. 1 indexed citations

Mao, Kezhi, et al.. (2024). Adaptive micro- and macro-knowledge incorporation for hierarchical text classification. Expert Systems with Applications. 248. 123374–123374. 4 indexed citations

Feng, Zijian, et al.. (2024). LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction. 11972–11990. 2 indexed citations

Feng, Zijian, et al.. (2024). FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation. 7627–7640.

Liu, Ning, et al.. (2024). Mechanical anisotropy on reduced ballistic limit of phosphorene by cone wave reflection：A computational study. Extreme Mechanics Letters. 70. 102173–102173. 1 indexed citations

Mao, Kezhi, et al.. (2023). Knowledge-based BERT word embedding fine-tuning for emotion recognition. Neurocomputing. 552. 126488–126488. 21 indexed citations

Li, Xinze, Xin Zhang, Fanfan Lin, Changjiang Sun, & Kezhi Mao. (2023). Artificial-Intelligence-Based Hybrid Extended Phase Shift Modulation for the Dual Active Bridge Converter With Full ZVS Range and Optimal Efficiency. IEEE Journal of Emerging and Selected Topics in Power Electronics. 11(6). 5569–5581. 26 indexed citations

Li, Xinze, et al.. (2023). Feature-aware conditional GAN for category text generation. Neurocomputing. 547. 126352–126352. 16 indexed citations

Song, Wanying, et al.. (2022). RF-HoDRF: High-Order Hybrid Discriminative Random Field Improved by Two-Layer Random Forest for SAR Image Change Detection. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 1 indexed citations

10.

Mao, Kezhi, et al.. (2022). Tailored text augmentation for sentiment analysis. Expert Systems with Applications. 205. 117605–117605. 16 indexed citations

11.

Li, Xinze, Kezhi Mao, Fanfan Lin, & Xin Zhang. (2021). Particle swarm optimization with state-based adaptive velocity limit strategy. Neurocomputing. 447. 64–79. 26 indexed citations

12.

Li, Xinze, Xin Zhang, Fanfan Lin, Changjiang Sun, & Kezhi Mao. (2021). Artificial-Intelligence-Based Triple Phase Shift Modulation for Dual Active Bridge Converter With Minimized Current Stress. IEEE Journal of Emerging and Selected Topics in Power Electronics. 11(4). 4430–4441. 40 indexed citations

13.

Cao, Jiuwen, Kezhi Mao, Q. M. Jonathan Wu, & Amaury Lendasse. (2016). Proceedings of ELM-2015 Volume 2: Theory, Algorithms and Applications (II). Springer eBooks. 2 indexed citations

14.

Wang, Dongzhe, Kezhi Mao, Gee-Wah Ng, & Tien Pham. (2016). Adaptive multimodal fusion with web resources for scene classification. International Conference on Information Fusion. 114–121. 3 indexed citations

15.

Wang, Dongzhe, Kezhi Mao, & Gee-Wah Ng. (2015). Improving scene classification by fusion of training data and web resources. International Conference on Information Fusion. 823–829. 4 indexed citations

16.

Wu, Kui, et al.. (2014). Semantic-level fusion of heterogenous sensor network and other sources based on Bayesian network. International Conference on Information Fusion. 1–7. 2 indexed citations

17.

Cao, Jiuwen, Kezhi Mao, Erik Cambria, Zhihong Man, & Kar‐Ann Toh. (2014). Proceedings of ELM-2014 Volume 2: Applications. Springer eBooks. 1 indexed citations

18.

Cao, Jiuwen, Kezhi Mao, Erik Cambria, Zhihong Man, & Kar‐Ann Toh. (2014). Proceedings of ELM-2014 Volume 1: Algorithms and Theories. Springer eBooks. 3 indexed citations

19.

Mao, Kezhi, et al.. (2011). Target classification using knowledge-based probabilistic model. International Conference on Information Fusion. 1–8. 2 indexed citations

20.

Mao, Kezhi, et al.. (2005). Adaptive Successive Erosion-based Cell Image Segmentation for p53 Immunohistochemistry in Bladder Inverted Papilloma. PubMed. 2005. 6484–6487. 17 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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