Ruizhu Huang

661 total citations
35 papers, 388 citations indexed

About

Ruizhu Huang is a scholar working on Information Systems and Management, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Ruizhu Huang has authored 35 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems and Management, 6 papers in Information Systems and 5 papers in Computer Networks and Communications. Recurrent topics in Ruizhu Huang's work include Scientific Computing and Data Management (8 papers), Urban Transport and Accessibility (5 papers) and Advanced Data Storage Technologies (3 papers). Ruizhu Huang is often cited by papers focused on Scientific Computing and Data Management (8 papers), Urban Transport and Accessibility (5 papers) and Advanced Data Storage Technologies (3 papers). Ruizhu Huang collaborates with scholars based in United States, Switzerland and France. Ruizhu Huang's co-authors include Anne Vernez Moudon, Chuan Zhou, Brian E. Saelens, Weijia Xu, Orion Stewart, Mark D. Robinson, Charlotte Soneson, Jianping Bin, Yulin Liao and Glen E. Duncan and has published in prestigious journals such as Stroke, Genome biology and Medicine.

In The Last Decade

Ruizhu Huang

34 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruizhu Huang United States	10	97	63	49	29	27	35	388
Holly Wiberg United States	9	34 0.4×	27 0.4×	21 0.4×	21 0.7×	4 0.1×	11	474
Andrew Swiergosz United States	5	7 0.1×	40 0.6×	16 0.3×	28 1.0×	3 0.1×	10	447
J. Matthew Helm United States	5	7 0.1×	65 1.0×	14 0.3×	36 1.2×	3 0.1×	12	547
Tae Sung Hwang South Korea	9	7 0.1×	35 0.6×	58 1.2×	5 0.2×	4 0.1×	63	270
Huiguo Zhang China	11	6 0.1×	63 1.0×	20 0.4×	3 0.1×	11 0.4×	46	348
Gary Davies United Kingdom	10	13 0.1×	36 0.6×	20 0.4×	9 0.3×	4 0.1×	23	269
Adarsh Subbaswamy United States	5	11 0.1×	19 0.3×	6 0.1×	11 0.4×	3 0.1×	10	327
Rohit Anand India	12	7 0.1×	14 0.2×	53 1.1×	7 0.2×	3 0.1×	54	583
Wook Choi South Korea	15	5 0.1×	23 0.4×	32 0.7×	12 0.4×	8 0.3×	51	638
Toktam Khatibi Iran	14	4 0.0×	38 0.6×	21 0.4×	49 1.7×	10 0.4×	41	474

Countries citing papers authored by Ruizhu Huang

Since Specialization

Citations

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

Fields of papers citing papers by Ruizhu Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruizhu Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruizhu Huang. A scholar is included among the top collaborators of Ruizhu Huang 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 Ruizhu Huang. Ruizhu Huang 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

Huang, Ruizhu, Charlotte Soneson, Pierre‐Luc Germain, et al.. (2021). treeclimbR pinpoints the data-dependent resolution of hierarchical hypotheses. Genome biology. 22(1). 157–157. 19 indexed citations

Ernst, Felix G.M., et al.. (2020). MicrobiomeExperiment and the emerging R ecosystem for microbiome research. Faculty of 1000 Research Ltd. 9. 1 indexed citations

Huang, Ruizhu, Charlotte Soneson, Pierre‐Luc Germain, et al.. (2020). treeclimbR pinpoints the data-dependent resolution of hierarchical hypotheses. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

Huang, Ruizhu, et al.. (2019). ARMOR: An A utomated R eproducible MO dular Workflow for Preprocessing and Differential Analysis of R NA-seq Data. G3 Genes Genomes Genetics. 9(7). 2089–2096. 32 indexed citations

Esteva, María, Ramona Walls, Weijia Xu, et al.. (2019). Identifier Services: Modeling and Implementing Distributed Data Management in Cyberinfrastructure. 3(1). 26–39. 1 indexed citations

Xu, Weijia, et al.. (2019). Detecting Pedestrian Crossing Events in Large Video Data from Traffic Monitoring Cameras. 3824–3831. 4 indexed citations

Zhang, Zhao, Lei Huang, Ruizhu Huang, Weijia Xu, & Daniel S. Katz. (2019). Quantifying the Impact of Memory Errors in Deep Learning. 1–12. 9 indexed citations

Huang, Ruizhu, Anne Vernez Moudon, Chuan Zhou, & Brian E. Saelens. (2019). Higher residential and employment densities are associated with more objectively measured walking in the home neighborhood. Journal of Transport & Health. 12. 142–151. 28 indexed citations

Moudon, Anne Vernez, Ruizhu Huang, Orion Stewart, et al.. (2019). Probabilistic walking models using built environment and sociodemographic predictors. Population Health Metrics. 17(1). 7–7. 6 indexed citations

10.

Huang, Ruizhu, et al.. (2018). A Case Study of R Performance Analysis and Optimization. 1. 1–6. 1 indexed citations

11.

Xu, Weijia, et al.. (2018). Enabling User Driven Web Applications on Remote Computing Resource. 49–50. 3 indexed citations

12.

Huang, Ruizhu, Anne Vernez Moudon, Chuan Zhou, Orion Stewart, & Brian E. Saelens. (2017). Light rail leads to more walking around station areas. Journal of Transport & Health. 6. 201–208. 49 indexed citations

13.

Schmid, Florian, Oliver Schlager, Philipp Keller, et al.. (2017). Prognostic Value of Long-Term Blood Pressure Changes in Patients with Chronic Heart Failure. European Journal of Heart Failure. 19(7). 837–842. 28 indexed citations

14.

Sauter, Rafael, Ruizhu Huang, Bruno Ledergerber, et al.. (2016). CD4/CD8 ratio and CD8 counts predict CD4 response in HIV-1-infected drug naive and in patients on cART. Medicine. 95(42). e5094–e5094. 22 indexed citations

15.

Xu, Weijia, Ruizhu Huang, María Esteva, Jawon Song, & Ramona Walls. (2016). Content-based comparison for collections identification. 3283–3289. 3 indexed citations

16.

Huang, Ruizhu, Weijia Xu, & Robert McLay. (2016). A web interface for XALT log data analysis. 1–8. 6 indexed citations

17.

Duncan, Glen E., Brianna Mills, Eric Strachan, et al.. (2014). Stepping towards causation in studies of neighborhood and environmental effects: How twin research can overcome problems of selection and reverse causation. Health & Place. 27. 106–111. 23 indexed citations

18.

Duncan, Glen E., Elizabeth J. Dansie, Eric Strachan, et al.. (2012). Genetic and environmental influences on residential location in the US. Health & Place. 18(3). 515–519. 14 indexed citations

19.

Liao, Yulin, Ruizhu Huang, Juefei Wu, et al.. (2011). Ultrasound molecular imaging of arterial thrombi with novel microbubbles modified by cyclic RGD in vitro and in vivo. Thrombosis and Haemostasis. 107(1). 172–183. 38 indexed citations

20.

Liu, Jian, Ying Liu, Meiyu Li, et al.. (2011). [Effects of high and low shear stress on vascular remodeling and endothelial vascular cell adhesion molecular-1 expression in mouse abdominal aorta].. PubMed. 31(8). 1349–52. 1 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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