Q. Gu

1.1k total citations
7 papers, 830 citations indexed

About

Q. Gu is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Q. Gu has authored 7 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 2 papers in Artificial Intelligence and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Q. Gu's work include Blood Pressure and Hypertension Studies (3 papers), Sodium Intake and Health (2 papers) and Neural Networks and Applications (2 papers). Q. Gu is often cited by papers focused on Blood Pressure and Hypertension Studies (3 papers), Sodium Intake and Health (2 papers) and Neural Networks and Applications (2 papers). Q. Gu collaborates with scholars based in China, Singapore and United States. Q. Gu's co-authors include H. P. Lee, Leilei Cao, W. K. Chong, Kok Seng Chua, Vicki L. Burt, Charles Dillon, Ryne Paulose‐Ram, Richard F Gillum, Dongran Han and Ying Lü and has published in prestigious journals such as Journal of Medical Internet Research, Journal of Vascular Surgery and Neurocomputing.

In The Last Decade

Q. Gu

6 papers receiving 791 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Q. Gu China	6	241	132	112	86	80	7	830
Javier Cabrera United States	21	274 1.1×	208 1.6×	75 0.7×	131 1.5×	87 1.1×	80	1.7k
R.L. Kennedy United Kingdom	20	261 1.1×	264 2.0×	25 0.2×	138 1.6×	168 2.1×	52	1.8k
Varun Gupta India	26	640 2.7×	241 1.8×	189 1.7×	120 1.4×	19 0.2×	114	1.8k
Tianyi Zhang China	17	157 0.7×	436 3.3×	49 0.4×	133 1.5×	26 0.3×	104	1.3k
Per Svensson Sweden	21	722 3.0×	182 1.4×	62 0.6×	35 0.4×	42 0.5×	96	1.6k
Paolo Ciampolini Italy	13	88 0.4×	64 0.5×	21 0.2×	211 2.5×	114 1.4×	48	820
Feng Mei China	15	129 0.5×	211 1.6×	110 1.0×	48 0.6×	97 1.2×	57	1.3k
Seung Min Park South Korea	17	98 0.4×	106 0.8×	24 0.2×	82 1.0×	30 0.4×	146	1.1k
Cristian Preda France	19	17 0.1×	374 2.8×	75 0.7×	66 0.8×	47 0.6×	59	1.5k

Countries citing papers authored by Q. Gu

Since Specialization

Citations

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

Fields of papers citing papers by Q. Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Q. Gu

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Chai, Ying, Q. Gu, Lijuan Fan, & Ying Lü. (2024). Knowledge, Attitudes, and Practices Towards Exercise Therapy Among Patients with Stage 5 Chronic Kidney Disease on Regular Hemodialysis. International Journal of General Medicine. Volume 17. 5997–6008.

2.

Gu, Q., et al.. (2023). An AI Dietitian for Type 2 Diabetes Mellitus Management Based on Large Language and Image Recognition Models: Preclinical Concept Validation Study. Journal of Medical Internet Research. 25. e51300–e51300. 50 indexed citations

3.

Gu, Q., Vicki L. Burt, & Charles Dillon. (2013). Trends in Antihypertensive Medication Use and Blood Pressure Control Among United States Adults With Hypertension: The National Health and Nutrition Examination Survey, 2001-2010. Journal of Vascular Surgery. 57(3). 893–893. 31 indexed citations

4.

Gu, Q., Charles Dillon, Vicki L. Burt, & Richard F Gillum. (2009). Association of Hypertension Treatment and Control With All-Cause and Cardiovascular Disease Mortality Among US Adults With Hypertension. American Journal of Hypertension. 23(1). 38–45. 87 indexed citations

5.

Gu, Q., Vicki L. Burt, Ryne Paulose‐Ram, & Charles Dillon. (2008). Gender Differences in Hypertension Treatment, Drug Utilization Patterns, and Blood Pressure Control Among US Adults With Hypertension: Data From the National Health and Nutrition Examination Survey 1999-2004. American Journal of Hypertension. 21(7). 789–798. 204 indexed citations

6.

Lee, H. P., et al.. (2003). Saliency Analysis of Support Vector Machines for Gene Selection in Tissue Classification. Neural Computing and Applications. 11(3-4). 244–249. 19 indexed citations

7.

Cao, Leilei, Kok Seng Chua, W. K. Chong, H. P. Lee, & Q. Gu. (2003). A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine. Neurocomputing. 55(1-2). 321–336. 439 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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