Shanying Chen

661 total citations
21 papers, 466 citations indexed

About

Shanying Chen is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Nephrology. According to data from OpenAlex, Shanying Chen has authored 21 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Nephrology. Recurrent topics in Shanying Chen's work include Liver Disease Diagnosis and Treatment (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Stock Market Forecasting Methods (2 papers). Shanying Chen is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Stock Market Forecasting Methods (2 papers). Shanying Chen collaborates with scholars based in China, Ireland and Australia. Shanying Chen's co-authors include Xiaofei Shao, Dabin Zhang, Yan Liang, Harry Holthöfer, Hequn Zou, Yongqiang Li, Xinyu Liu, Mi Li, Hequn Zou and Youming Chen and has published in prestigious journals such as PLoS ONE, IEEE Access and International Journal of Environmental Research and Public Health.

In The Last Decade

Shanying Chen

20 papers receiving 455 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shanying Chen China 13 124 114 102 61 54 21 466
Yaping Hao China 18 216 1.7× 189 1.7× 48 0.5× 39 0.6× 122 2.3× 35 787
Liangyu Xia China 15 51 0.4× 140 1.2× 59 0.6× 63 1.0× 49 0.9× 47 627
Christos P. Carvounis United States 15 75 0.6× 32 0.3× 289 2.8× 22 0.4× 79 1.5× 34 737
Xiaobo Ding China 9 130 1.0× 168 1.5× 36 0.4× 15 0.2× 154 2.9× 50 509
Jan A. Graw Germany 18 82 0.7× 25 0.2× 34 0.3× 50 0.8× 52 1.0× 66 652
Xuerui Tan China 13 58 0.5× 50 0.4× 9 0.1× 12 0.2× 95 1.8× 30 359
Chaolei Chen China 16 132 1.1× 151 1.3× 30 0.3× 75 1.2× 167 3.1× 69 699
Jing Xiong China 13 27 0.2× 59 0.5× 37 0.4× 23 0.4× 252 4.7× 77 561
Sung Woo Lee South Korea 15 87 0.7× 64 0.6× 320 3.1× 49 0.8× 111 2.1× 74 737

Countries citing papers authored by Shanying Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shanying Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanying Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shanying Chen. A scholar is included among the top collaborators of Shanying Chen 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 Shanying Chen. Shanying Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Qiu, Yanhua, Weihua Lin, Jiaming Lin, et al.. (2025). Combination of artificial intelligence and chest computed tomography to assess bone mineral density. Skeletal Radiology. 55(3). 671–680.
3.
Wu, Zhibin, et al.. (2022). Seasonal Variation: A Non-negligible Factor Associated With Blood Pressure in Patients Undergoing Hemodialysis. Frontiers in Cardiovascular Medicine. 9. 820483–820483. 7 indexed citations
4.
Chen, Wenxiu, et al.. (2020). Continuous Observation of Serum Total Magnesium Level in Patients Undergoing Hemodialysis. Blood Purification. 50(2). 196–204. 3 indexed citations
5.
Zhang, Dabin, et al.. (2020). Forecasting Agricultural Commodity Prices Using Model Selection Framework With Time Series Features and Forecast Horizons. IEEE Access. 8. 28197–28209. 57 indexed citations
6.
Zhang, Dabin, et al.. (2020). Can online search data improve the forecast accuracy of pork price in China?. Journal of Forecasting. 39(4). 671–686. 10 indexed citations
7.
Zhang, Dabin, et al.. (2019). An improved genetic algorithm for optimizing ensemble empirical mode decomposition method. Systems Science & Control Engineering. 7(2). 53–63. 8 indexed citations
8.
Zhang, Dabin, et al.. (2019). A Forecast Combination Framework with Multi‐Time Scale for Livestock Products’ Price Forecasting. Mathematical Problems in Engineering. 2019(1). 9 indexed citations
9.
Chen, Shanying, et al.. (2017). Acute kidney injury during pregnancy and puerperium: a retrospective study in a single center. BMC Nephrology. 18(1). 146–146. 48 indexed citations
10.
Chen, Shanying, Xinyu Liu, Yan Liang, et al.. (2015). Association between Lipid Ratios and Insulin Resistance in a Chinese Population. PLoS ONE. 10(1). e0116110–e0116110. 40 indexed citations
11.
Chen, Shanying, et al.. (2015). Pregnancy in Women with Systemic Lupus Erythematosus: A Retrospective Study of 83 Pregnancies at a Single Centre. International Journal of Environmental Research and Public Health. 12(8). 9876–9888. 28 indexed citations
12.
Sun, Mingxia, Liying Zhang, Shanying Chen, et al.. (2015). Association of C-Reactive Protein and Metabolic Disorder in a Chinese Population. International Journal of Environmental Research and Public Health. 12(7). 8228–8242. 16 indexed citations
13.
Li, Yongqiang, Shanying Chen, Xiaofei Shao, et al.. (2014). Association of Uric Acid with Metabolic Syndrome in Men, Premenopausal Women and Postmenopausal Women. International Journal of Environmental Research and Public Health. 11(3). 2899–2910. 46 indexed citations
14.
Zhang, Liying, Zhiyong Yuan, Wu Chen, et al.. (2014). Serum Lipid Profiles, Lipid Ratios and Chronic Kidney Disease in a Chinese Population. International Journal of Environmental Research and Public Health. 11(8). 7622–7635. 20 indexed citations
15.
Zhang, Wuxiang, Maosheng Zhang, Shanying Chen, et al.. (2014). Reversed-phase high performance liquid chromatography method for the determination of paraquat in whole blood. Analytical Methods. 6(16). 6560–6564. 12 indexed citations
16.
Chen, Shanying, Youming Chen, Xinyu Liu, et al.. (2013). Association of Insulin Resistance with Chronic Kidney Disease in Non-Diabetic Subjects with Normal Weight. PLoS ONE. 8(9). e74058–e74058. 40 indexed citations
17.
Chen, Shanying, Youming Chen, Xinyu Liu, et al.. (2013). Insulin resistance and metabolic syndrome in normal-weight individuals. Endocrine. 46(3). 496–504. 47 indexed citations
18.
Chen, Shanying, Xinyu Liu, Yongqiang Li, et al.. (2013). Central Obesity, C-Reactive Protein and Chronic Kidney Disease: A Community-Based Cross-Sectional Study in Southern China. Kidney & Blood Pressure Research. 37(4-5). 392–401. 30 indexed citations
19.
Chen, Shanying, et al.. (2013). Cardiac Troponin I in Non- Acute Coronary Syndrome Patients with Chronic Kidney Disease. PLoS ONE. 8(12). e82752–e82752. 14 indexed citations
20.
Chen, Shanying, Xinyu Liu, Youming Chen, et al.. (2013). Association of Anthropometric indexes with chronic kidney disease in a Chinese population. Clinical Nephrology. 80(11). 361–369. 11 indexed citations

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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