Siwen Liang

431 total citations
19 papers, 131 citations indexed

About

Siwen Liang is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Siwen Liang has authored 19 papers receiving a total of 131 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 6 papers in Surgery and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Siwen Liang's work include Acute Myocardial Infarction Research (7 papers), Kawasaki Disease and Coronary Complications (5 papers) and Coronary Artery Anomalies (3 papers). Siwen Liang is often cited by papers focused on Acute Myocardial Infarction Research (7 papers), Kawasaki Disease and Coronary Complications (5 papers) and Coronary Artery Anomalies (3 papers). Siwen Liang collaborates with scholars based in China, Germany and United Kingdom. Siwen Liang's co-authors include Hongwei Li, Jixin Wang, Xiangyu Gao, Yong Liu, Li Zhou, Hehe Cui, Xipeng Sun, Hui Chen, Wen-Ming Chen and Ruifeng Liu and has published in prestigious journals such as Journal of the American College of Cardiology, Applied Energy and Sensors.

In The Last Decade

Siwen Liang

15 papers receiving 126 citations

Peers

Siwen Liang
Siwen Liang
Citations per year, relative to Siwen Liang Siwen Liang (= 1×) peers Eduard Apetrei

Countries citing papers authored by Siwen Liang

Since Specialization
Citations

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

Fields of papers citing papers by Siwen Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siwen Liang

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

All Works

19 of 19 papers shown
1.
Martin, Nicole, Tanja Lange, Peter Reinhardt, et al.. (2025). A novel C. elegans model for MAPT/Tau spreading reveals genes critical for endolysosomal integrity and seeded MAPT/Tau aggregation. Autophagy. 21(12). 2963–2981.
2.
Xiao, Zhiguo, et al.. (2025). VBTCKN: A Time Series Forecasting Model Based on Variational Mode Decomposition with Two-Channel Cross-Attention Network. Symmetry. 17(7). 1063–1063. 1 indexed citations
4.
Liang, Siwen, et al.. (2023). ResNet14Attention network for identifying the titration end-point of potassium dichromate. Heliyon. 9(8). e18992–e18992.
7.
Fresnais, Margaux, Siwen Liang, Emmanuelle Claude, et al.. (2022). Analytical Performance Evaluation of New DESI Enhancements for Targeted Drug Quantification in Tissue Sections. Pharmaceuticals. 15(6). 694–694. 11 indexed citations
8.
Gao, Xiangyu, et al.. (2022). Five-years’ prognostic analysis for coronary artery ectasia patients with coronary atherosclerosis: A retrospective cohort study. Frontiers in Cardiovascular Medicine. 9. 950291–950291. 4 indexed citations
9.
Liu, Ruifeng, et al.. (2022). Antithrombotic treatment strategy for patients with coronary artery ectasia and acute myocardial infarction: A case report. World Journal of Clinical Cases. 10(12). 3936–3943. 1 indexed citations
10.
11.
Chen, Hui, et al.. (2022). The uric acid to albumin ratio: a novel predictor of long-term cardiac mortality in patients with unstable angina pectoris after percutaneous coronary intervention. Scandinavian Journal of Clinical and Laboratory Investigation. 82(4). 304–310. 13 indexed citations
12.
Gao, Xiangyu, et al.. (2021). Is Coronary Artery Ectasia a Progressive Disease? A Self-Controlled Retrospective Cohort Study. Frontiers in Cardiovascular Medicine. 8. 774597–774597. 2 indexed citations
13.
Cui, Hehe, Xiao Zhang, Xiaosong Ding, et al.. (2021). Urinary Alpha1-Microglobulin: A New Predictor for In-Hospital Mortality in Patients with ST-Segment Elevation Myocardial Infarction. Medical Science Monitor. 27. e927958–e927958. 3 indexed citations
14.
Liang, Siwen, et al.. (2020). Peripheral blood soluble elastin and elastase as auxiliary diagnostic indicators for coronary artery ectasia. TURKISH JOURNAL OF MEDICAL SCIENCES. 51(3). 1058–1064. 1 indexed citations
15.
Wang, Jixin, et al.. (2020). Reinforcement learning-based intelligent energy management architecture for hybrid construction machinery. Applied Energy. 275. 115401–115401. 36 indexed citations
18.
Liang, Siwen, et al.. (2018). Is Coronary Artery Ectasia a Thrombotic Disease?. Angiology. 70(1). 62–68. 12 indexed citations
19.
Sun, Xipeng, Wen-Ming Chen, Zhijun Sun, et al.. (2014). Impact of Red Blood Cell Distribution Width on Long-Term Mortality in Patients with ST-Elevation Myocardial Infarction. Cardiology. 128(4). 343–348. 29 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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