Weiren Wang
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
-
- Gender, Labor, and Family Dynamics
Papers in
-
- Economics of Agriculture and Food Markets 3
- Economic and Environmental Valuation 1
- Co-authors
- Felix Famoye (1 shared paper)Quang Vuong (1 shared paper)Paula L. Rechner (1 shared paper)Chamu Sundaramurthy (1 shared paper)Wenke Lee (1 shared paper)Mattia Fazzini (1 shared paper)Taesoo Kim (1 shared paper)Alessandro Orso (1 shared paper)
- Journals
- Frontiers in Aging Neuroscience (1 paper)Econometric Reviews (1 paper)Journal of Population Economics (1 paper)ACM Transactions on Design Automation of Electronic Systems (1 paper)Journal of Econometrics (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Weiren Wang
11 papers receiving 288 citations
Peers
Comparison fields: 5 of 93
- Statistics and Probability 62
- Gender Studies 42
- Signal Processing 43
- Demography 40
- Accounting 34
Countries citing papers authored by Weiren Wang
This map shows the geographic impact of Weiren Wang'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 Weiren Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiren Wang more than expected).
Fields of papers citing papers by Weiren Wang
This network shows the impact of papers produced by Weiren Wang. 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 Weiren Wang. The network helps show where Weiren Wang may publish in the future.
Co-authors
The 24 scholars most cited alongside Weiren Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 153 | |
| 2 | 2017 | 63 | |
| 3 | 1996 | 29 | |
| 4 | 2022 | 26 | |
| 5 | 1993 | 23 | |
| 6 | 1997 | 6 | |
| 7 | 2017 | 5 | |
| 8 | 2000 | 4 | |
| 9 | 2000 | 3 | |
| 10 | 1997 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 1997 | 0 | |
| 14 | 1996 | 0 |
About Weiren Wang
Weiren Wang is a scholar working on Economics and Econometrics, Artificial Intelligence, Computer Vision and Pattern Recognition, General Economics, Econometrics and Finance and Management Science and Operations Research, having authored 14 papers that have together received 318 indexed citations. Recurring topics across this work include Economics of Agriculture and Food Markets (3 papers), Gender, Labor, and Family Dynamics (2 papers), Monetary Policy and Economic Impact (2 papers), Advanced Statistical Methods and Models (1 paper), Software System Performance and Reliability (1 paper), Economic and Technological Systems Analysis (1 paper), Older Adults Driving Studies (1 paper) and Economic and Environmental Valuation (1 paper). The work is most often cited by research in Statistics and Probability (62 citations), Gender Studies (42 citations), Signal Processing (43 citations), Demography (40 citations) and Accounting (34 citations). Weiren Wang has collaborated with scholars based in United States and China. Frequent co-authors include Felix Famoye, Quang Vuong, Paula L. Rechner, Chamu Sundaramurthy, Wenke Lee, Mattia Fazzini, Taesoo Kim, Alessandro Orso, Sangho Lee and Ji Yang. Their work appears in journals such as Frontiers in Aging Neuroscience, Econometric Reviews, Journal of Population Economics, ACM Transactions on Design Automation of Electronic Systems and Journal of Econometrics.
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.