Changming Zhu
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- Face and Expression Recognition 34
- Advanced Image and Video Retrieval Techniques 13
- Image Retrieval and Classification Techniques 9
- Artificial Intelligence top 5%
- Text and Document Classification Technologies 16
- Machine Learning and ELM 12
- Media Technology top 10%
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- Sparse and Compressive Sensing Techniques 8
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- Elevator Systems and Control 7
- Vibration and Dynamic Analysis 7
- Journals
- Pattern Analysis and Applications (6 papers)Knowledge-Based Systems (5 papers)Neural Computing and Applications (4 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Changming Zhu
86 papers receiving 724 citations
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 358
- Artificial Intelligence 333
- Computational Mathematics 4
- Media Technology 54
- Computational Theory and Mathematics 85
Countries citing papers authored by Changming Zhu
This map shows the geographic impact of Changming Zhu'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 Changming Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changming Zhu more than expected).
Fields of papers citing papers by Changming Zhu
This network shows the impact of papers produced by Changming Zhu. 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 Changming Zhu. The network helps show where Changming Zhu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Changming Zhu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 21 | |
| 13 | 2022 | 7 | |
| 14 | 2021 | 42 | |
| 15 | 2021 | 5 | |
| 16 | 2020 | 5 | |
| 17 | Source location of cracks in a turbine blade based on kernel principal component analysis and support vector machines | 2010 | 5 |
| 18 | Feature gene selection by combining an improved discrete PSO and SVM | 2009 | 2 |
| 19 | A Solution for Elevator Traffic Distribution | 2004 | 1 |
| 20 | Research on the Dynamic characteristics of a New Type of Oil Buffer With an Air Accumulator | 2004 | 1 |
About Changming Zhu
Changming Zhu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Control and Systems Engineering and Urban Studies, having authored 94 papers that have together received 745 indexed citations. Recurring topics across this work include Face and Expression Recognition (34 papers), Text and Document Classification Technologies (16 papers), Advanced Image and Video Retrieval Techniques (13 papers), Machine Learning and ELM (12 papers), Image Retrieval and Classification Techniques (9 papers), Sparse and Compressive Sensing Techniques (8 papers), Elevator Systems and Control (7 papers) and Vibration and Dynamic Analysis (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (358 citations), Artificial Intelligence (333 citations), Computational Mathematics (4 citations), Media Technology (54 citations) and Computational Theory and Mathematics (85 citations). Changming Zhu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ri‐Gui Zhou, Lai Wei, Zhe Wang, Daqi Gao, Duoqian Miao, Duoqian Miao, XingAo Liu, Xinde Li, Shuzhi Sam Ge and Jean Dezert. Their work appears in journals such as Pattern Analysis and Applications, Knowledge-Based Systems, Neural Computing and Applications, Neurocomputing and Multimedia Systems.
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.