Yuedong Wang
Impact in
- Nephrology top 1%
- Dialysis and Renal Disease Management
- Reproductive Medicine top 1%
- Endometriosis Research and Treatment
Papers in
- Nephrology 31
- Dialysis and Renal Disease Management 30
-
- Statistical Methods and Inference 14
- Statistical Methods and Bayesian Inference 8
- Advanced Statistical Methods and Models 7
- Co-authors
- Sun‐Wei GuoPeter KotankoLen A. UsvyatJeroen P. KoomanFrank M. van der SandeGrace WahbaMorton B. BrownChong Gu
- Journals
- Journal of the American Statistical Association (7 papers)BMC Nephrology (4 papers)Blood Purification (4 papers)Nephrology Dialysis Transplantation (4 papers)Journal of Computational and Graphical Statistics (3 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Yuedong Wang
102 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 166
- Nephrology 550
- Reproductive Medicine 478
- Statistics and Probability 459
- Obstetrics and Gynecology 365
- Computational Mathematics 13
Countries citing papers authored by Yuedong Wang
This map shows the geographic impact of Yuedong 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 Yuedong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuedong Wang more than expected).
Fields of papers citing papers by Yuedong Wang
This network shows the impact of papers produced by Yuedong 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 Yuedong Wang. The network helps show where Yuedong Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuedong 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 | 2024 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 22 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 8 | |
| 8 | 2021 | 3 | |
| 9 | 2020 | 6 | |
| 10 | 2018 | 9 | |
| 11 | 2017 | 9 | |
| 12 | 2016 | 53 | |
| 13 | 2015 | 132 | |
| 14 | 2015 | 1 | |
| 15 | 2015 | 30 | |
| 16 | 2013 | 51 | |
| 17 | 2013 | 10 | |
| 18 | 2009 | 35 | |
| 19 | 2008 | 36 | |
| 20 | Testing generalized linear models using smoothing spline methods | 2005 | 11 |
About Yuedong Wang
Yuedong Wang is a scholar working on Nephrology, Statistics and Probability, Computational Mathematics, Emergency Medical Services and Reproductive Medicine, having authored 112 papers that have together received 2.6k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (30 papers), Statistical Methods and Inference (14 papers), Blood Pressure and Hypertension Studies (9 papers), Endometriosis Research and Treatment (9 papers), Central Venous Catheters and Hemodialysis (8 papers), Statistical Methods and Bayesian Inference (8 papers), Advanced Statistical Methods and Models (7 papers) and Iron Metabolism and Disorders (5 papers). The work is most often cited by research in Nephrology (550 citations), Reproductive Medicine (478 citations), Statistics and Probability (459 citations), Obstetrics and Gynecology (365 citations) and Computational Mathematics (13 citations). Yuedong Wang has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Sun‐Wei Guo, Peter Kotanko, Len A. Usvyat, Jeroen P. Kooman, Frank M. van der Sande, Grace Wahba, Morton B. Brown, Chong Gu, Ronald Klein and Bernard Canaud. Their work appears in journals such as Journal of the American Statistical Association, BMC Nephrology, Blood Purification, Nephrology Dialysis Transplantation and Journal of Computational and Graphical Statistics.
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.