Kezhi Mao
- Control and Systems Engineering top 0.2%
- Artificial Intelligence top 0.5%
- Mechanical Engineering top 1%
- Computer Vision and Pattern Recognition top 1%
- Electrical and Electronic Engineering top 5%
- Co-authors
- Rui ZhaoRuqiang YanZhenghua ChenPeng WangRobert X. GaoJinjiang WangDongzhe WangFei Shen
- Topics
- Topic Modeling (21 papers)Neural Networks and Applications (19 papers)Face and Expression Recognition (18 papers)
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Kezhi Mao
122 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Control and Systems Engineering 2.4k
- Artificial Intelligence 2.1k
- Mechanical Engineering 1.6k
- Computer Vision and Pattern Recognition 859
- Electrical and Electronic Engineering 771
Countries citing papers authored by Kezhi Mao
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 26 | |
| 7 | 16 | |
| 8 | 21 | |
| 9 | 16 | |
| 10 | 1 | |
| 11 | 26 | |
| 12 | 40 | |
| 13 | Proceedings of ELM-2015 Volume 2: Theory, Algorithms and Applications (II) | 2 |
| 14 | Adaptive multimodal fusion with web resources for scene classification | 3 |
| 15 | Improving scene classification by fusion of training data and web resources | 4 |
| 16 | Proceedings of ELM-2014 Volume 1: Algorithms and Theories | 3 |
| 17 | Proceedings of ELM-2014 Volume 2: Applications | 1 |
| 18 | 3 | |
| 19 | 99 | |
| 20 | 17 |
About Kezhi Mao
Kezhi Mao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 125 papers that have together received 6.1k indexed citations. Recurring topics across this work include Topic Modeling (21 papers), Neural Networks and Applications (19 papers) and Face and Expression Recognition (18 papers). The work is most often cited by research in Control and Systems Engineering (2.4k citations), Artificial Intelligence (2.1k citations) and Medical Laboratory Technology (83 citations). Kezhi Mao has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Rui Zhao, Ruqiang Yan, Zhenghua Chen, Peng Wang, Robert X. Gao, Jinjiang Wang, Dongzhe Wang, Fei Shen, Guang-Bin Huang and W. Ser. Their work appears in journals such as Bioinformatics, IEEE Transactions on Industrial Electronics and Expert Systems with Applications.
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.