Zhen Xiang
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Computational Mechanics top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Peter J. RamadgeGeorge KesidisDavid J. MillerYun WangUri HassonHang WangRobert E. SchapireSiwei Wei
- Topics
- Adversarial Robustness in Machine Learning (15 papers)Anomaly Detection Techniques and Applications (11 papers)Integrated Circuits and Semiconductor Failure Analysis (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceRemote Sensing of Environment
- Partner nations
- United StatesChina
In The Last Decade
Zhen Xiang
37 papers receiving 569 citations
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 314
- Computer Vision and Pattern Recognition 158
- Signal Processing 117
- Computational Mechanics 85
- Computer Networks and Communications 78
Countries citing papers authored by Zhen Xiang
This map shows the geographic impact of Zhen Xiang'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 Zhen Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhen Xiang more than expected).
Fields of papers citing papers by Zhen Xiang
This network shows the impact of papers produced by Zhen Xiang. 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 Zhen Xiang. The network helps show where Zhen Xiang may publish in the future.
Co-authorship network of co-authors of Zhen Xiang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhen Xiang. A scholar is included among the top collaborators of Zhen Xiang 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 Zhen Xiang. Zhen Xiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 10 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 13 | |
| 8 | 10 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 13 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 10 | |
| 15 | 44 | |
| 16 | Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries | 70 |
| 17 | 1 | |
| 18 | Boosting with Spatial Regularization | 24 |
| 19 | Speed and Sparsity of Regularized Boosting | 14 |
| 20 | Intelligent Multimedia Group of Tsinghua University at TRECVID 2006 | 20 |
About Zhen Xiang
Zhen Xiang is a scholar working on Artificial Intelligence, Media Technology and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 591 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (15 papers), Anomaly Detection Techniques and Applications (11 papers) and Integrated Circuits and Semiconductor Failure Analysis (5 papers). The work is most often cited by research in Signal Processing (117 citations), Artificial Intelligence (314 citations) and Statistics and Probability (75 citations). Zhen Xiang has collaborated with scholars based in United States and China. Frequent co-authors include Peter J. Ramadge, George Kesidis, David J. Miller, Yun Wang, Yun Wang, Uri Hasson, Hang Wang, Robert E. Schapire, David J. Miller and Siwei Wei. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Remote Sensing of Environment.
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.