Jiaying Gu
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Advanced Causal Inference Techniques
- Economics and Econometrics top 10%
- Spatial and Panel Data Analysis
Papers in
-
- Statistical Methods and Inference 10
- Statistical Methods and Bayesian Inference 9
- Advanced Causal Inference Techniques 3
- Statistical Methods in Clinical Trials 2
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- Bayesian Methods and Mixture Models 6
- Bayesian Modeling and Causal Inference 2
- Co-authors
- Roger Koenker (7 shared papers)Stanislav Volgushev (3 shared papers)Qing Zhou (2 shared papers)Shu Shen (3 shared papers)Bryon Aragam (1 shared paper)Alberto Abadie (1 shared paper)Thomas M. Russell (2 shared papers)Chaoran Chen (1 shared paper)
- Journals
- Journal of Econometrics (4 papers)Econometric Theory (2 papers)Journal of Applied Econometrics (2 papers)The Astrophysical Journal Supplement Series (1 paper)Journal of the American Statistical Association (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Jiaying Gu
20 papers receiving 187 citations
Peers
Comparison fields: 5 of 53
- Statistics and Probability 73
- Economics and Econometrics 81
- General Economics, Econometrics and Finance 20
- General Decision Sciences 4
- Artificial Intelligence 47
Countries citing papers authored by Jiaying Gu
This map shows the geographic impact of Jiaying Gu'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 Jiaying Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaying Gu more than expected).
Fields of papers citing papers by Jiaying Gu
This network shows the impact of papers produced by Jiaying Gu. 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 Jiaying Gu. The network helps show where Jiaying Gu may publish in the future.
Co-authors
The 16 scholars most cited alongside Jiaying Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 36 | |
| 2 | 2019 | 29 | |
| 3 | 2019 | 26 | |
| 4 | 2016 | 18 | |
| 5 | 2017 | 14 | |
| 6 | 2023 | 12 | |
| 7 | 2015 | 10 | |
| 8 | 2023 | 9 | |
| 9 | 2020 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2015 | 4 | |
| 12 | 2017 | 4 | |
| 13 | 2017 | 3 | |
| 14 | 2019 | 3 | |
| 15 | Learning Big Gaussian Bayesian Networks: Partition, Estimation and Fusion | 2020 | 2 |
| 16 | 2022 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Jiaying Gu
Jiaying Gu is a scholar working on Statistics and Probability, Artificial Intelligence, Economics and Econometrics, Sociology and Political Science and General Economics, Econometrics and Finance, having authored 23 papers that have together received 189 indexed citations. Recurring topics across this work include Statistical Methods and Inference (10 papers), Statistical Methods and Bayesian Inference (9 papers), Bayesian Methods and Mixture Models (6 papers), Spatial and Panel Data Analysis (5 papers), Advanced Causal Inference Techniques (3 papers), Bayesian Modeling and Causal Inference (2 papers), Economic and Environmental Valuation (2 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Statistics and Probability (73 citations), Economics and Econometrics (81 citations), General Economics, Econometrics and Finance (20 citations), General Decision Sciences (4 citations) and Artificial Intelligence (47 citations). Jiaying Gu has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Roger Koenker, Stanislav Volgushev, Qing Zhou, Shu Shen, Bryon Aragam, Alberto Abadie, Thomas M. Russell, Chaoran Chen, Zhigang Feng and Lu Yu. Their work appears in journals such as Journal of Econometrics, Econometric Theory, Journal of Applied Econometrics, The Astrophysical Journal Supplement Series and Journal of the American Statistical Association.
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.