Yuchen Wu

1.2k citations
12 papers · 664 indexed · 1 hit paper · h-index 5
Topics
Sparse and Compressive Sensing Techniques (3 papers)Statistical Methods and Inference (2 papers)Advanced Optimization Algorithms Research (2 papers)
Partner nations
ChinaUnited States

In The Last Decade

Yuchen Wu

10 papers receiving 633 citations

Hit Papers

Development and Application of Artificial Neural Network20172026202020232017100200300400

Peers

Yuchen Wu
Comparison fields: 5 of 147
  • Artificial Intelligence 199
  • Computational Mechanics 97
  • Mechanical Engineering 86
  • Electrical and Electronic Engineering 82
  • Biomedical Engineering 62
Replace Sebastian Mayer with:
Sebastian Mayer Germany
Roy W. Dobbins United States
Komla A. Folly South Africa
Tareq M. Shami United Kingdom
Mingyang Pan China
D.A.G. Vieira Brazil
Huiyuan Fan United States
Giacomo Capizzi Italy
Yuchen Wu relative to Sebastian Mayer Germany Sebastian Mayer's profile →
Citations per field
00.5×4.4×
Sebastian Mayer · 1×
Citations per year

Countries citing papers authored by Yuchen Wu

Since Specialization
Citations

This map shows the geographic impact of Yuchen Wu'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 Yuchen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuchen Wu more than expected).

Fields of papers citing papers by Yuchen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuchen Wu. 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 Yuchen Wu. The network helps show where Yuchen Wu may publish in the future.

Co-authorship network of co-authors of Yuchen Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuchen Wu. A scholar is included among the top collaborators of Yuchen Wu 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 Yuchen Wu. Yuchen Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 2
3 1
4 5
5 1
6 10
7 1
8
Development and Application of Artificial Neural Networkbreakdown →
426
9 210
10 7
11
Active set algorithms for large-scale nonlinear programming
0
12 1

About Yuchen Wu

Yuchen Wu is a scholar working on Numerical Analysis, Computer Graphics and Computer-Aided Design and Statistics and Probability, having authored 12 papers that have together received 664 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (3 papers), Statistical Methods and Inference (2 papers) and Advanced Optimization Algorithms Research (2 papers). The work is most often cited by research in Numerical Analysis (47 citations), Artificial Intelligence (199 citations) and Computational Mechanics (97 citations). Yuchen Wu has collaborated with scholars based in China and United States. Frequent co-authors include Junwen Feng, Jorge Nocedal, Richard H. Byrd, Hongwei Li, Richard A. Waltz, Liang Xie, Andrea Montanari, Xin Li, Huimin Ma and Marc Najork. Their work appears in journals such as Expert Systems with Applications, The Annals of Statistics and Mathematical Programming.

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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