Yucheng Shi
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Civil and Structural Engineering
- Signal Processing
- Electrical and Electronic Engineering
- Co-authors
- Yahong HanQi TianXiaohui KuangQuanxin ZhangQinghua HuYunfeng ShaoYi YangXin Chen
- Topics
- Adversarial Robustness in Machine Learning (13 papers)Anomaly Detection Techniques and Applications (7 papers)Domain Adaptation and Few-Shot Learning (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceScientific Reports
In The Last Decade
Yucheng Shi
32 papers receiving 305 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 167
- Computer Vision and Pattern Recognition 90
- Civil and Structural Engineering 33
- Signal Processing 32
- Electrical and Electronic Engineering 27
Countries citing papers authored by Yucheng Shi
This map shows the geographic impact of Yucheng Shi'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 Yucheng Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yucheng Shi more than expected).
Fields of papers citing papers by Yucheng Shi
This network shows the impact of papers produced by Yucheng Shi. 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 Yucheng Shi. The network helps show where Yucheng Shi may publish in the future.
Co-authorship network of co-authors of Yucheng Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Yucheng Shi. A scholar is included among the top collaborators of Yucheng Shi 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 Yucheng Shi. Yucheng Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 18 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 37 | |
| 12 | 10 | |
| 13 | Black-box Probe for Unsupervised Domain Adaptation without Model Transferring. | 1 |
| 14 | 1 | |
| 15 | 7 | |
| 16 | Optimizing to earthquake wave based on wavelet packet | 0 |
| 17 | Numerical simulation of response waves in loess site based on micro-particle theory | 1 |
| 18 | Field tests on negative skin friction along piles caused by seismic settlement of loess | 2 |
| 19 | Determination of design response spectrum for important structures based on scenario earthquake | 5 |
| 20 | RESEARCH ON DYNAMIC DAMAGE CHARACTERISTICS OF COUNTRY ROCK OF MOGAO GROTTOES UNDER EARTHQUAKE LOADING | 4 |
About Yucheng Shi
Yucheng Shi is a scholar working on General Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 312 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (13 papers), Anomaly Detection Techniques and Applications (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). The work is most often cited by research in Artificial Intelligence (167 citations), Computer Vision and Pattern Recognition (90 citations) and Signal Processing (32 citations). Yucheng Shi has collaborated with scholars based in China, Sweden and Ireland. Frequent co-authors include Yahong Han, Qi Tian, Xiaohui Kuang, Quanxin Zhang, Qinghua Hu, Yunfeng Shao, Yi Yang, Xin Chen, Lanmin Wang and Jun Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.
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.