Xiang Da
Impact in
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- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
- Advanced Sensor and Control Systems
- Advanced Algorithms and Applications
Papers in
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- Advanced Algorithms and Applications 2
- Fault Detection and Control Systems 2
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- Advanced Image and Video Retrieval Techniques 1
- Co-authors
- Qi Zheng (1 shared paper)Chao Liang (1 shared paper)Jun Chen (1 shared paper)Mingrui Zhu (1 shared paper)Beiji Zou (1 shared paper)Yang Liu (1 shared paper)Shengnan Wang (1 shared paper)Fan Guo (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (1 paper)Zhendong yu chongji (1 paper)Journal of Advanced Computational Intelligence and Intelligent Informatics (1 paper)Thermal Power Generation (1 paper)
In The Last Decade
Xiang Da
6 papers receiving 25 citations
Peers
Comparison fields: 5 of 21
- Medical Laboratory Technology 1
- Control and Systems Engineering 13
- Computer Vision and Pattern Recognition 8
- Safety, Risk, Reliability and Quality 3
- Instrumentation 1
Countries citing papers authored by Xiang Da
This map shows the geographic impact of Xiang Da'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 Xiang Da with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiang Da more than expected).
Fields of papers citing papers by Xiang Da
This network shows the impact of papers produced by Xiang Da. 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 Xiang Da. The network helps show where Xiang Da may publish in the future.
Co-authors
The 14 scholars most cited alongside Xiang Da, 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 | Method of fault feature extraction based on EMD sample entropy and LLTSA | 2014 | 10 |
| 2 | 2015 | 7 | |
| 3 | A model of fault feature extraction based on wavelet packet sample entropy and manifold learning | 2014 | 4 |
| 4 | 2017 | 2 | |
| 5 | Design of unit coordinated control system based on multivariable decoupling IMC | 2015 | 1 |
| 6 | Text-independent speaker identification based on long-term average spectrums | 2002 | 1 |
| 7 | 2025 | 0 |
About Xiang Da
Xiang Da is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Ophthalmology, Ocean Engineering and Signal Processing, having authored 7 papers that have together received 25 indexed citations. Recurring topics across this work include Advanced Algorithms and Applications (2 papers), Fault Detection and Control Systems (2 papers), Machine Learning and ELM (1 paper), Gear and Bearing Dynamics Analysis (1 paper), Speech and Audio Processing (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Automated Road and Building Extraction (1 paper) and Retinal and Optic Conditions (1 paper). The work is most often cited by research in Medical Laboratory Technology (1 citation), Control and Systems Engineering (13 citations), Computer Vision and Pattern Recognition (8 citations), Safety, Risk, Reliability and Quality (3 citations) and Instrumentation (1 citation). Xiang Da has collaborated with scholars based in China, Singapore and Austria. Frequent co-authors include Qi Zheng, Chao Liang, Jun Chen, Mingrui Zhu, Beiji Zou, Yang Liu, Shengnan Wang, Fan Guo, Hou‐Yong Yu and Yi Cai. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Zhendong yu chongji, Journal of Advanced Computational Intelligence and Intelligent Informatics and Thermal Power Generation.
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.