Feng Ruan

1.5k citations
78 papers · 805 · h-index 15

Impact in

Papers in

Feng Ruan

64 papers receiving 771 citations

Peers

Feng Ruan
Comparison fields: 5 of 103
  • Mechanics of Materials 270
  • Computational Mechanics 210
  • Mechanical Engineering 359
  • Computational Mathematics 5
  • Acoustics and Ultrasonics 6
Replace Gang Xie with:
Gang Xie China
Qixin Zhu China
Lê Anh Tuấn Vietnam
Gábor Renner Hungary
Salvatore Sessa Italy
Samuel P. Marin United States
Tao Wu China
V.K. Koumousis Greece
Feng Ruan relative to Gang Xie China Gang Xie's profile →
Citations per field
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Citations per year

Countries citing papers authored by Feng Ruan

Since Specialization
Citations

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

Fields of papers citing papers by Feng Ruan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Feng Ruan, 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 Feng Ruan Line = papers co-authored together Feng Ruan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007100
2 201169
3 200667
4 201858
5 200752
6 201844
7 201138
8 201735
9
LassoNet: Neural Networks with Feature Sparsity.
202135
10 201634
11 201932
12 200814
13 201814
14 201114
15 200714
16 201913
17 201511
18 201310
19 201510
20
Stochastic Methods for Composite Optimization Problems
20179

About Feng Ruan

Feng Ruan is a scholar working on Mechanical Engineering, Computer Networks and Communications, Computational Mechanics, Mechanics of Materials and Artificial Intelligence, having authored 78 papers that have together received 805 indexed citations. Recurring topics across this work include Metal Forming Simulation Techniques (18 papers), Metallurgy and Material Forming (14 papers), Laser and Thermal Forming Techniques (10 papers), Energy Efficient Wireless Sensor Networks (9 papers), Stochastic Gradient Optimization Techniques (6 papers), Manufacturing Process and Optimization (5 papers), IoT and Edge/Fog Computing (4 papers) and Cloud Computing and Resource Management (4 papers). The work is most often cited by research in Mechanics of Materials (270 citations), Computational Mechanics (210 citations), Mechanical Engineering (359 citations), Computational Mathematics (5 citations) and Acoustics and Ultrasonics (6 citations). Feng Ruan has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include John C. Duchi, Qin Xiang Xia, Qiang Liu, Wenjuan Liu, Yueming Hu, Yunlong Huo, Robert Tibshirani, Qinxiang Xia, H. Long and Shengjun Xue. Their work appears in journals such as The Annals of Statistics, Journal of Materials Processing Technology, International Journal of Mechanical Sciences, Applied and Computational Harmonic Analysis and Journal of Material Science and Technology.

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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