Cencheng Shen

494 total citations
25 papers, 188 citations indexed

About

Cencheng Shen is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Cencheng Shen has authored 25 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 10 papers in Statistical and Nonlinear Physics and 7 papers in Molecular Biology. Recurrent topics in Cencheng Shen's work include Complex Network Analysis Techniques (10 papers), Advanced Graph Neural Networks (8 papers) and Bioinformatics and Genomic Networks (6 papers). Cencheng Shen is often cited by papers focused on Complex Network Analysis Techniques (10 papers), Advanced Graph Neural Networks (8 papers) and Bioinformatics and Genomic Networks (6 papers). Cencheng Shen collaborates with scholars based in United States, China and France. Cencheng Shen's co-authors include Carey E. Priebe, Joshua T Vogelstein, Joshua T. Vogelstein, Minh Tang, Ming Sun, Youjin Lee, Mauro Maggioni, Qing Wang, Youngser Park and Eric Bridgeford and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and Information Sciences.

In The Last Decade

Cencheng Shen

25 papers receiving 184 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Cencheng Shen United States	8	57	36	36	34	29	25	188
Vinayak Rao United States	8	103 1.8×	14 0.4×	18 0.5×	29 0.9×	63 2.2×	22	179
Will Wei Sun United States	11	95 1.7×	39 1.1×	21 0.6×	30 0.9×	28 1.0×	23	292
Yuanyuan Shen China	7	65 1.1×	12 0.3×	5 0.1×	23 0.7×	68 2.3×	21	212
Tanmay Rajpurohit United States	11	114 2.0×	11 0.3×	28 0.8×	31 0.9×	3 0.1×	29	340
Su-In Lee United States	3	95 1.7×	41 1.1×	8 0.2×	32 0.9×	18 0.6×	3	150
Andre Manoel France	7	121 2.1×	18 0.5×	14 0.4×	7 0.2×	13 0.4×	9	213
Hannes Sieling Germany	4	47 0.8×	13 0.4×	7 0.2×	50 1.5×	114 3.9×	5	209
Pierre Latouche France	10	147 2.6×	27 0.8×	158 4.4×	36 1.1×	44 1.5×	26	277
Fabian L. Wauthier United States	6	120 2.1×	28 0.8×	9 0.3×	49 1.4×	10 0.3×	8	331
Xuan Bi United States	9	60 1.1×	22 0.6×	8 0.2×	26 0.8×	21 0.7×	27	239

Countries citing papers authored by Cencheng Shen

Since Specialization

Citations

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

Fields of papers citing papers by Cencheng Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cencheng Shen

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

All Works

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20 of 20 papers shown

Shen, Cencheng. (2024). Encoder embedding for general graph and node classification. Applied Network Science. 9(1). 1 indexed citations

Shen, Cencheng, et al.. (2024). Discovering the signal subgraph: An iterative screening approach on graphs. Pattern Recognition Letters. 184. 97–102. 1 indexed citations

Shen, Cencheng, et al.. (2024). Universally consistent K-sample tests via dependence measures. Statistics & Probability Letters. 216. 110278–110278. 1 indexed citations

Shen, Cencheng, Carey E. Priebe, Jonathan Larson, & Ha Trinh. (2024). Synergistic graph fusion via encoder embedding. Information Sciences. 678. 120912–120912. 2 indexed citations

Shen, Cencheng, Youngser Park, & Carey E. Priebe. (2023). Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection. 13–18. 3 indexed citations

Shen, Cencheng, et al.. (2022). One-Hot Graph Encoder Embedding. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(6). 7933–7938. 24 indexed citations

Shen, Cencheng, et al.. (2021). The Chi-Square Test of Distance Correlation. Journal of Computational and Graphical Statistics. 31(1). 254–262. 51 indexed citations

Shen, Cencheng, Li Chen, Yuexiao Dong, & Carey E. Priebe. (2020). Sparse Representation Classification Beyond ℓ1 Minimization and the Subspace Assumption. IEEE Transactions on Information Theory. 66(8). 5061–5071. 4 indexed citations

Shen, Cencheng, et al.. (2019). A Consistent Independence Test for Multivariate Time-Series. arXiv (Cornell University). 1 indexed citations

10.

Vogelstein, Joshua T, Eric Bridgeford, Qing Wang, et al.. (2019). Discovering and deciphering relationships across disparate data modalities. eLife. 8. 13 indexed citations

11.

Shen, Cencheng & Joshua T Vogelstein. (2018). Decision Forests Induce Characteristic Kernels.. arXiv (Cornell University). 1 indexed citations

12.

Shen, Cencheng, Carey E. Priebe, & Joshua T Vogelstein. (2017). From Distance Correlation to Multiscale Generalized Correlation. arXiv (Cornell University). 1 indexed citations

13.

Lee, Youjin, Cencheng Shen, Carey E. Priebe, & Joshua T Vogelstein. (2017). Network Dependence Testing via Diffusion Maps and Distance-Based Correlations. arXiv (Cornell University). 11 indexed citations

14.

Wang, Christina, et al.. (2017). [Comparison of application of Cochran-Armitage trend test and linear regression analysis for rate trend analysis in epidemiology study].. PubMed. 38(5). 684–687. 8 indexed citations

15.

Shen, Cencheng, Carey E. Priebe, Mauro Maggioni, & Joshua T Vogelstein. (2016). Discovering Relationships Across Disparate Data Modalities. arXiv (Cornell University). 1 indexed citations

16.

Shen, Cencheng, Qing Wang, Carey E. Priebe, Mauro Maggioni, & Joshua T Vogelstein. (2016). Discovering Relationships and their Structures Across Disparate Data Modalities. arXiv (Cornell University). 1 indexed citations

17.

Tomita, Tyler M., J. Dale Browne, Cencheng Shen, et al.. (2015). Random Projection Forests. arXiv (Cornell University). 2 indexed citations

18.

Chen, Li, Cencheng Shen, Joshua T Vogelstein, & Carey E. Priebe. (2015). Robust Vertex Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(3). 578–590. 5 indexed citations

19.

Shen, Cencheng, Ming Sun, Minh Tang, & Carey E. Priebe. (2014). Generalized canonical correlation analysis for classification. Journal of Multivariate Analysis. 130. 310–322. 21 indexed citations

20.

Shen, Cencheng, et al.. (2012). Collaborative Information Retrieval Framework Based on FCA. Physics Procedia. 24. 1935–1942. 1 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.

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