Nuo Xu
Impact in
- Artificial Intelligence top 10%
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
-
- Manufacturing Process and Optimization
- Scheduling and Optimization Algorithms
- Flexible and Reconfigurable Manufacturing Systems
Papers in
-
- Adversarial Robustness in Machine Learning 8
- Privacy-Preserving Technologies in Data 4
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Samuel H. Huang (4 shared papers)Wujie Wen (4 shared papers)Yanzhi Wang (2 shared papers)Zihao Liu (2 shared papers)Xue Lin (1 shared paper)Qi Liu (1 shared paper)Tao Liu (1 shared paper)Zaibin Jiao (1 shared paper)
- Journals
- Journal of Manufacturing Science and Engineering (1 paper)Neurocomputing (1 paper)Energies (1 paper)International Journal of Production Research (1 paper)Protection and Control of Modern Power Systems (1 paper)
- Partner nations
- United StatesMexicoChina
In The Last Decade
Nuo Xu
13 papers receiving 238 citations
Peers
Comparison fields: 5 of 42
- Artificial Intelligence 156
- Industrial and Manufacturing Engineering 48
- Signal Processing 34
- Computer Vision and Pattern Recognition 60
- Hardware and Architecture 6
Countries citing papers authored by Nuo Xu
This map shows the geographic impact of Nuo Xu'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 Nuo Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nuo Xu more than expected).
Fields of papers citing papers by Nuo Xu
This network shows the impact of papers produced by Nuo Xu. 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 Nuo Xu. The network helps show where Nuo Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Nuo Xu, 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 | 2019 | 152 | |
| 2 | 2003 | 28 | |
| 3 | 2022 | 23 | |
| 4 | 2007 | 12 | |
| 5 | 2005 | 8 | |
| 6 | 2023 | 6 | |
| 7 | 2019 | 3 | |
| 8 | 2005 | 2 | |
| 9 | 2020 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 1 | |
| 14 | 2025 | 0 |
About Nuo Xu
Nuo Xu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering and Statistics, Probability and Uncertainty, having authored 14 papers that have together received 243 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (8 papers), Privacy-Preserving Technologies in Data (4 papers), Manufacturing Process and Optimization (3 papers), Flexible and Reconfigurable Manufacturing Systems (2 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced machining processes and optimization (2 papers), Product Development and Customization (1 paper) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Artificial Intelligence (156 citations), Industrial and Manufacturing Engineering (48 citations), Signal Processing (34 citations), Computer Vision and Pattern Recognition (60 citations) and Hardware and Architecture (6 citations). Nuo Xu has collaborated with scholars based in United States, Mexico and China. Frequent co-authors include Samuel H. Huang, Wujie Wen, Yanzhi Wang, Zihao Liu, Xue Lin, Qi Liu, Tao Liu, Zaibin Jiao, Yiming Rong and Wujie Wen. Their work appears in journals such as Journal of Manufacturing Science and Engineering, Neurocomputing, Energies, International Journal of Production Research and Protection and Control of Modern Power 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.