Xuxiang Ma

580 total citations
12 papers, 280 citations indexed

About

Xuxiang Ma is a scholar working on Complementary and alternative medicine, Physiology and Cancer Research. According to data from OpenAlex, Xuxiang Ma has authored 12 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Complementary and alternative medicine, 3 papers in Physiology and 3 papers in Cancer Research. Recurrent topics in Xuxiang Ma's work include Traditional Chinese Medicine Studies (11 papers), Salivary Gland Disorders and Functions (3 papers) and Cancer-related molecular mechanisms research (3 papers). Xuxiang Ma is often cited by papers focused on Traditional Chinese Medicine Studies (11 papers), Salivary Gland Disorders and Functions (3 papers) and Cancer-related molecular mechanisms research (3 papers). Xuxiang Ma collaborates with scholars based in China. Xuxiang Ma's co-authors include Liping Tu, Ji Cui, Jiatuo Xu, Xinghua Yao, Jing-bin Huang, Xiaojuan Hu, Changle Zhou, Tao Jiang, Yu Wang and Yongzhi Li and has published in prestigious journals such as BioMed Research International, Computers in Biology and Medicine and Evidence-based Complementary and Alternative Medicine.

In The Last Decade

Xuxiang Ma

12 papers receiving 273 citations

Peers

Xuxiang Ma

CAM

CR

CCM

BE

PHYSI

Xinghua Yao China

Xiaojuan Hu China

Jiatuo Xu China

Ji Cui China

Liping Tu China

Duong Duc Pham South Korea

Hyeonhoon Lee South Korea

Thanh Tam Nguyen Australia

Xinghua Yao China

Xuxiang Ma

166 ×0.9

CAM

54 ×0.9

CR

36 ×1.0

CCM

24 ×0.8

BE

30 ×1.0

PHYSI

Citations per year, relative to Xuxiang Ma Xuxiang Ma (= 1×) peers Xinghua Yao

Countries citing papers authored by Xuxiang Ma

Since Specialization

Citations

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

Fields of papers citing papers by Xuxiang Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuxiang Ma

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

All Works

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12 of 12 papers shown

1.

Li, Jun, Jing-bin Huang, Tao Jiang, et al.. (2022). A multi-step approach for tongue image classification in patients with diabetes. Computers in Biology and Medicine. 149. 105935–105935. 35 indexed citations

2.

Chen, Weidong, et al.. (2022). Correlation between Serum Magnesium Level and Cardiac Valve Calcification in Patients with Chronic Kidney Disease. Clinical Laboratory. 68(04/2022). 2 indexed citations

3.

Hu, Xiaojuan, Xuxiang Ma, Jing-bin Huang, et al.. (2022). Deep Learning Multi-label Tongue Image Analysis and Its Application in a Population Undergoing Routine Medical Checkup. Evidence-based Complementary and Alternative Medicine. 2022. 1–12. 15 indexed citations

4.

Li, Jun, Qingguang Chen, Xiaojuan Hu, et al.. (2021). Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques. International Journal of Medical Informatics. 149. 104429–104429. 60 indexed citations

5.

Shi, Yulin, Xiaojuan Hu, Ji Cui, et al.. (2021). Clinical data mining on network of symptom and index and correlation of tongue-pulse data in fatigue population. BMC Medical Informatics and Decision Making. 21(1). 72–72. 10 indexed citations

6.

Jiang, Tao, Xiaojuan Hu, Xinghua Yao, et al.. (2021). Tongue image quality assessment based on a deep convolutional neural network. BMC Medical Informatics and Decision Making. 21(1). 147–147. 43 indexed citations

7.

Guo, Xiaojing, Liping Tu, Ji Cui, et al.. (2021). Application of computer tongue image analysis technology in the diagnosis of NAFLD. Computers in Biology and Medicine. 135. 104622–104622. 41 indexed citations

8.

Li, Jun, Xiaojuan Hu, Liping Tu, et al.. (2021). Diabetes Tongue Image Classification Using Machine Learning and Deep Learning. SSRN Electronic Journal. 4 indexed citations

9.

Hu, Xiaojuan, Zhaobang Liu, Xiaodong Yang, et al.. (2020). An Unsupervised Tongue Segmentation Algorithm Based on Improved gPb-owt-ucm. Journal of Medical Imaging and Health Informatics. 11(3). 688–696. 3 indexed citations

10.

Hu, Xiaojuan, Liping Tu, Changle Zhou, et al.. (2019). Tongue color clustering and visual application based on 2D information. International Journal of Computer Assisted Radiology and Surgery. 15(2). 203–212. 12 indexed citations

11.

Tu, Liping, et al.. (2018). Tongue Image Database Construction Based on the Expert Opinions: Assessment for Individual Agreement and Methods for Expert Selection. Evidence-based Complementary and Alternative Medicine. 2018(1). 8491057–8491057. 7 indexed citations

12.

Cui, Ji, Liping Tu, Xuxiang Ma, et al.. (2018). A Study of Machine-Learning Classifiers for Hypertension Based on Radial Pulse Wave. BioMed Research International. 2018. 1–12. 48 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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