Xiaoxia Shi

67 total papers · 1.1k total citations
43 papers, 482 citations indexed

About

Xiaoxia Shi is a scholar working on Statistics and Probability, Economics and Econometrics and Control and Systems Engineering. According to data from OpenAlex, Xiaoxia Shi has authored 43 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 9 papers in Economics and Econometrics and 5 papers in Control and Systems Engineering. Recurrent topics in Xiaoxia Shi's work include Statistical Methods and Inference (16 papers), Statistical Methods and Bayesian Inference (8 papers) and Advanced Causal Inference Techniques (7 papers). Xiaoxia Shi is often cited by papers focused on Statistical Methods and Inference (16 papers), Statistical Methods and Bayesian Inference (8 papers) and Advanced Causal Inference Techniques (7 papers). Xiaoxia Shi collaborates with scholars based in United States, China and Canada. Xiaoxia Shi's co-authors include Donald W. K. Andrews, Matthew Shum, Federico A. Bugni, Ivan A. Canay, Wei Song, Amit Gandhi, Huijian Wu, Shujing Li, Matías Iaryczower and Haiyun Liu and has published in prestigious journals such as Econometrica, Journal of Political Economy and International Journal of Molecular Sciences.

In The Last Decade

Xiaoxia Shi

40 papers receiving 473 citations

Author Peers

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

Author						Papers	Cites
Xiaoxia Shi	210	161	82	80	64	43	482
Stephen T. Ziliak	196 0.9×	62 0.4×	57 0.7×	13 0.2×	55 0.9×	35	515
David S. Huang	162 0.8×	44 0.3×	52 0.6×	11 0.1×	34 0.5×	22	424
Wouter J. Keller	268 1.3×	61 0.4×	59 0.7×	60 0.8×	66 1.0×	29	499
Alexander Torgovitsky	234 1.1×	186 1.2×	53 0.6×	42 0.5×	44 0.7×	28	420
Byoung Cheol Jung	313 1.5×	81 0.5×	37 0.5×	13 0.2×	32 0.5×	22	473
Yu‐Chin Hsu	161 0.8×	117 0.7×	57 0.7×	6 0.1×	109 1.7×	51	476
R. P. Byron	269 1.3×	49 0.3×	104 1.3×	108 1.4×	60 0.9×	24	522
Kyoo il Kim	302 1.4×	49 0.3×	55 0.7×	116 1.4×	36 0.6×	37	420
Songnian Chen	226 1.1×	328 2.0×	85 1.0×	20 0.3×	46 0.7×	49	533
Hiroki Tsurumi	176 0.8×	112 0.7×	137 1.7×	34 0.4×	43 0.7×	49	422

Countries citing papers authored by Xiaoxia Shi

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoxia Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxia Shi

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