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).
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-authorship network of co-authors of Feng Ruan
This figure shows the co-authorship network connecting the top 25 collaborators of Feng Ruan.
A scholar is included among the top collaborators of Feng Ruan 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 Feng Ruan. Feng Ruan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ruan, Feng, et al.. (2019). A neural network with feature sparsity.. arXiv (Cornell University).1 indexed citations
6.
Duchi, John C., Feng Ruan, & Chulhee Yun. (2018). Minimax Bounds on Stochastic Batched Convex Optimization. Conference on Learning Theory. 3065–3162.3 indexed citations
7.
Duchi, John C. & Feng Ruan. (2017). Stochastic Methods for Composite Optimization Problems. arXiv (Cornell University).9 indexed citations
8.
Jiang, Hui, Feng Ruan, Wen Xu, et al.. (2015). [Clinical characteristics of adult influenza inpatients in ten provinces in China and analysis of severe risk factors].. PubMed. 36(3). 216–21.2 indexed citations
9.
Sun, Quansen, et al.. (2013). An Improved Image Denoising Algorithm based on Shearlet. International Journal of Signal Processing Image Processing and Pattern Recognition. 6(4). 475–484.2 indexed citations
10.
Ruan, Feng. (2012). Compensation direction for die-face adjustment based on springback compensation. Journal of Jilin University.2 indexed citations
11.
Ruan, Feng. (2010). Analysis on springback compensation direction for die-face adjustment. Suxing gongcheng xuebao.2 indexed citations
12.
Ruan, Feng, et al.. (2009). Research of Association Technology in Assembly Design for Precision Progressive Die. 27(1). 32–36.2 indexed citations
13.
Ruan, Feng. (2009). Development of precision cold forging progressive die for T-Iron of telephone receiver.
14.
Xia, Qinxiang, et al.. (2009). Finite Element Simulation on the Spin-forming of the 3D Non-axisymmetric Thin-Walled Tubes. Journal of Material Science and Technology. 22(2). 261–268.3 indexed citations
15.
Ruan, Feng. (2007). Applying rough sets to discover tacit knowledge from stamping die designs. Suxing gongcheng xuebao.1 indexed citations
16.
Ruan, Feng. (2007). An finite element analysis of O-forming process in forming of large longitudinal seam welded pipe. Materials Science and Technology.4 indexed citations
17.
Ruan, Feng. (2007). 3D parameterized design of worm-and-worm gear and it's mechanism motion simulation analyzing. Machinery Design and Manufacture.1 indexed citations
18.
Ruan, Feng. (2006). 3D FEM numerical simulation and experimental study on symmetric thin-wall tube neck-spinning. 哈尔滨工业大学学报(英文版).1 indexed citations
19.
Ruan, Feng. (2006). Optimum Design of Crankshaft in Press Machine. Mechanical Engineer.1 indexed citations
20.
Xia, Qinxiang, et al.. (2005). Influence of Nominal Reduction of the Blank Radius Per Path on the Neck Spinning of Oblique Tubes. 15. 591–597.2 indexed citations
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.