Wangshu Liu

596 total citations
27 papers, 423 citations indexed

About

Wangshu Liu is a scholar working on Information Systems, Software and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Wangshu Liu has authored 27 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 10 papers in Software and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Wangshu Liu's work include Software Engineering Research (10 papers), Software Reliability and Analysis Research (9 papers) and Software System Performance and Reliability (5 papers). Wangshu Liu is often cited by papers focused on Software Engineering Research (10 papers), Software Reliability and Analysis Research (9 papers) and Software System Performance and Reliability (5 papers). Wangshu Liu collaborates with scholars based in China and Japan. Wangshu Liu's co-authors include Xiang Chen, Qing Gu, Daoxu Chen, Shulong Liu, Jiaqiang Chen, Chao Ni, Chunfeng Lu, Feng Xu, Xueqin Wang and Haiyan Huang and has published in prestigious journals such as Scientific Reports, Frontiers in Plant Science and Frontiers in Pharmacology.

In The Last Decade

Wangshu Liu

27 papers receiving 407 citations

Peers

Wangshu Liu

SOFTW

CNC

Michael Fredericks United States

Bilal Khan Pakistan

Shahid Alam Türkiye

Menghan Sun China

Gufran Ahmad Ansari India

Martina Iammarino Italy

Nicola Paoletti United Kingdom

Jiayi Feng China

R.J.M. Ross United Kingdom

Michael Fredericks United States

Wangshu Liu

210 ×0.8

143 ×0.6

SOFTW

46 ×0.5

CNC

65 ×1.1

25 ×0.9

Citations per year, relative to Wangshu Liu Wangshu Liu (= 1×) peers Michael Fredericks

Countries citing papers authored by Wangshu Liu

Since Specialization

Citations

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

Fields of papers citing papers by Wangshu Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wangshu Liu

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

All Works

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20 of 20 papers shown

Lu, Chunfeng, Wangshu Liu, Haiyan Huang, et al.. (2024). A late eating midpoint is associated with increased risk of diabetic kidney disease: a cross-sectional study based on NHANES 2013–2020. Nutrition Journal. 23(1). 39–39. 5 indexed citations

Liu, Wangshu, et al.. (2024). SeDPGK: Semi-supervised software defect prediction with graph representation learning and knowledge distillation. Information and Software Technology. 174. 107510–107510. 4 indexed citations

Lu, Chunfeng, et al.. (2024). The bidirectional associations between sarcopenia-related traits and cognitive performance. Scientific Reports. 14(1). 7591–7591. 11 indexed citations

Zhang, Jun, Peng Wu, Ning Li, et al.. (2023). A male-sterile mutant with necrosis-like dark spots on anthers was generated in cotton. Frontiers in Plant Science. 13. 1102196–1102196. 8 indexed citations

Chen, Chunmei, Chunfeng Lu, Wangshu Liu, et al.. (2023). Association between fibrinogen/albumin ratio and arterial stiffness in patients with type 2 diabetes: A cross-sectional study. Frontiers in Pharmacology. 13. 1120043–1120043. 8 indexed citations

Lu, Chunfeng, Wangshu Liu, Lihua Wang, et al.. (2023). Association between the platelet/high-density lipoprotein cholesterol ratio and nonalcoholic fatty liver disease: results from NHANES 2017–2020. Lipids in Health and Disease. 22(1). 130–130. 28 indexed citations

Lu, Chunfeng, et al.. (2022). Comparisons of the Relationships Between Multiple Lipid Indices and Diabetic Kidney Disease in Patients With Type 2 Diabetes: A Cross-Sectional Study. Frontiers in Endocrinology. 13. 888599–888599. 12 indexed citations

Lu, Chunfeng, et al.. (2022). The Positive Relationship Between the Low-Density Lipoprotein Cholesterol/Apoprotein B Ratio and Bone Turnover Markers in Patients With Type 2 Diabetes. Frontiers in Endocrinology. 13. 903336–903336. 2 indexed citations

Cao, Jie, Jianbin Su, Xueqin Wang, et al.. (2021). Inverse relationship between serum adenosine deaminase levels and islet beta cell function in patients with type 2 diabetes. Diabetology & Metabolic Syndrome. 13(1). 54–54. 5 indexed citations

10.

Lu, Chunfeng, et al.. (2021). Serum stromal cell-derived factor-1 levels are associated with diabetic kidney disease in type 2 diabetic patients. Endocrine Journal. 68(9). 1101–1107. 7 indexed citations

11.

Lu, Chunfeng, Yan Wang, Jianbin Su, et al.. (2021). The relationship between adenosine deaminase and heart rate-corrected QT interval in type 2 diabetic patients. Endocrine Connections. 10(8). 894–901. 2 indexed citations

12.

Liu, Wangshu, et al.. (2021). S² LMMD: Cross-Project Software Defect Prediction via Statement Semantic Learning and Maximum Mean Discrepancy. 369–379. 3 indexed citations

13.

Lu, Chunfeng, Wangshu Liu, Feng Xu, et al.. (2021). The association between serum adenosine deaminase levels and Graves’ disease. Endocrine Connections. 10(10). 1227–1233. 2 indexed citations

14.

Liu, Wangshu, Mengjie Tang, Jianbin Su, et al.. (2020). Association of serum fibroblast growth factor 19 levels with arteriosclerosis parameters assessed by arterial stiffness and atherogenic index of plasma in patients with type 2 diabetes. Diabetology & Metabolic Syndrome. 12(1). 44–44. 9 indexed citations

15.

Xu, Feng, et al.. (2020). Ligustilide alleviates podocyte injury via suppressing the SIRT1/NF-κB signaling pathways in rats with diabetic nephropathy. Annals of Translational Medicine. 8(18). 1154–1154. 14 indexed citations

16.

Ni, Chao, et al.. (2019). Cross-project Defect Prediction Method Based on Feature Transfer and Instance Transfer. 30(5). 1308–1329. 8 indexed citations

17.

Liu, Wangshu, et al.. (2018). Learning contextual dissimilarity on tensor product graph for visual re-ranking. Image and Vision Computing. 79. 1–10. 2 indexed citations

18.

Gu, Qing, Shulong Liu, Wangshu Liu, Daoxu Chen, & Xiang Chen. (2016). A cluster-analysis-based feature-selection method for software defect prediction. Scientia Sinica Informationis. 46(9). 1298–1320. 4 indexed citations

19.

Liu, Wangshu, Shulong Liu, Qing Gu, Xiang Chen, & Daoxu Chen. (2015). FECS: A Cluster Based Feature Selection Method for Software Fault Prediction with Noises. 276–281. 17 indexed citations

20.

Chen, Jiaqiang, Shulong Liu, Wangshu Liu, et al.. (2014). A Two-Stage Data Preprocessing Approach for Software Fault Prediction. 20–29. 24 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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