Nuo Xu

416 citations
14 papers · 243 · h-index 6

Impact in

Papers in

Nuo Xu

13 papers receiving 238 citations

Peers

Nuo Xu
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
Replace Michael Guntsch with:
Michael Guntsch Germany
Edward Chou United States
Ishan R. Dave India
Pei Luo United States
Ming-Fang Weng Taiwan
Haojun Zhao China
Xiaofeng Yu China
Jingpu Duan China
Hans‐Joachim Hof Germany
Sangyong Han South Korea
Nuo Xu relative to Michael Guntsch Germany Michael Guntsch's profile →
Citations per field
00.5×10×15×20×23×
Michael Guntsch · 1×
Citations per year

Countries citing papers authored by Nuo Xu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Nuo Xu Line = papers co-authored together Nuo Xu links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2019152
2 200328
3 202223
4 200712
5 20058
6 20236
7 20193
8 20052
9 20202
10 20232
11 20232
12 20232
13 20221
14 20250

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.

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