Shu Shen

131 total papers · 649 total citations
34 papers, 438 citations indexed

About

Shu Shen is a scholar working on Statistics and Probability, Electrical and Electronic Engineering and General Economics, Econometrics and Finance. According to data from OpenAlex, Shu Shen has authored 34 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 7 papers in Electrical and Electronic Engineering and 5 papers in General Economics, Econometrics and Finance. Recurrent topics in Shu Shen's work include Advanced Causal Inference Techniques (10 papers), Statistical Methods and Inference (6 papers) and Monetary Policy and Economic Impact (5 papers). Shu Shen is often cited by papers focused on Advanced Causal Inference Techniques (10 papers), Statistical Methods and Inference (6 papers) and Monetary Policy and Economic Impact (5 papers). Shu Shen collaborates with scholars based in United States, China and Taiwan. Shu Shen's co-authors include Sreenatha Kirakodu, M. John Novak, Octavio A. González, Luis Orraca, Janis González‐Martínez, Jeffrey L. Ebersole, Yu‐Chin Hsu, Junjie Zhang, Dalia Ghanem and Arnold J. Stromberg and has published in prestigious journals such as Infection and Immunity, The Review of Economics and Statistics and Journal of Econometrics.

In The Last Decade

Shu Shen

33 papers receiving 428 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Shu Shen	111	69	61	60	54	34	438
Zhichao Jiang	7 0.1×	39 0.6×	10 0.2×	149 2.5×	113 2.1×	37	488
Siqin Liu	26 0.2×	51 0.7×	17 0.3×	83 1.4×		30	403
Michael Legg	25 0.2×	17 0.2×	7 0.1×	43 0.7×	3 0.1×	54	391
Rafał Białynicki‐Birula	32 0.3×	36 0.5×	53 0.9×	9 0.1×		38	440
Rakesh Shukla	9 0.1×	6 0.1×	6 0.1×	26 0.4×	23 0.4×	36	406
Maryam Hadji	29 0.3×	20 0.3×	22 0.4×	50 0.8×	2 0.0×	53	452
Berit Mørland	24 0.2×	136 2.0×	123 2.0×	84 1.4×	4 0.1×	40	448
Nitin Patel	3 0.0×	55 0.8×	16 0.3×	50 0.8×	130 2.4×	25	483
Chia-Ching Chen	8 0.1×	42 0.6×	41 0.7×	68 1.1×		37	433
Benoy Jacob	24 0.2×	35 0.5×	17 0.3×	45 0.8×		23	437

Countries citing papers authored by Shu Shen

Since Specialization

Citations

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

Fields of papers citing papers by Shu Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Shen. A scholar is included among the top collaborators of Shu 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 Shu Shen. Shu 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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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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