Liping Tu

1.1k total citations
45 papers, 607 citations indexed

About

Liping Tu is a scholar working on Complementary and alternative medicine, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Liping Tu has authored 45 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Complementary and alternative medicine, 8 papers in Cancer Research and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Liping Tu's work include Traditional Chinese Medicine Studies (31 papers), Cancer-related molecular mechanisms research (8 papers) and Salivary Gland Disorders and Functions (7 papers). Liping Tu is often cited by papers focused on Traditional Chinese Medicine Studies (31 papers), Cancer-related molecular mechanisms research (8 papers) and Salivary Gland Disorders and Functions (7 papers). Liping Tu collaborates with scholars based in China, United States and Australia. Liping Tu's co-authors include Ji Cui, Jiatuo Xu, Xiaojuan Hu, Jing-bin Huang, Jiatuo Xu, Xuxiang Ma, Zhifeng Zhang, Xinghua Yao, Qingguang Chen and Changle Zhou and has published in prestigious journals such as Scientific Reports, Sensors and Advanced Science.

In The Last Decade

Liping Tu

40 papers receiving 594 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liping Tu China 13 379 103 95 76 75 45 607
Ji Cui China 11 263 0.7× 68 0.7× 69 0.7× 66 0.9× 60 0.8× 30 436
Jiatuo Xu China 12 265 0.7× 73 0.7× 67 0.7× 43 0.6× 60 0.8× 47 444
Jiatuo Xu China 10 238 0.6× 50 0.5× 65 0.7× 56 0.7× 51 0.7× 31 381
Xiaojuan Hu China 9 200 0.5× 55 0.5× 41 0.4× 27 0.4× 61 0.8× 19 363
Xinghua Yao China 10 166 0.4× 54 0.5× 24 0.3× 36 0.5× 38 0.5× 17 361
Xuxiang Ma China 8 183 0.5× 61 0.6× 31 0.3× 35 0.5× 30 0.4× 12 280
Ling Ma China 12 31 0.1× 40 0.4× 16 0.2× 32 0.4× 73 1.0× 33 587
Nishith Kumar Bangladesh 8 44 0.1× 30 0.3× 15 0.2× 22 0.3× 116 1.5× 17 391
Shujie Yu China 9 19 0.1× 22 0.2× 15 0.2× 34 0.4× 134 1.8× 27 397
Joan Lee Parkes United States 16 12 0.0× 33 0.3× 151 1.6× 71 0.9× 194 2.6× 36 1.2k

Countries citing papers authored by Liping Tu

Since Specialization
Citations

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

Fields of papers citing papers by Liping Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liping Tu

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

All Works

20 of 20 papers shown
1.
2.
Cui, Ji, et al.. (2025). A Risk Warning Model for Anemia Based on Facial Visible Light Reflectance Spectroscopy: Cross-Sectional Study. JMIR Medical Informatics. 13. e64204–e64204. 2 indexed citations
3.
Deng, Jialin, et al.. (2024). Application of tongue image characteristics and oral-gut microbiota in predicting pre-diabetes and type 2 diabetes with machine learning. Frontiers in Cellular and Infection Microbiology. 14. 1477638–1477638. 5 indexed citations
4.
Guo, Xiaojing, Liping Tu, Xiaojuan Hu, et al.. (2024). Application of intelligent tongue image analysis in Conjunction with microbiomes in the diagnosis of MAFLD. Heliyon. 10(7). e29269–e29269. 7 indexed citations
5.
Wang, Jue, Xiaojuan Hu, Ji Cui, et al.. (2023). Assessment of aortic to peripheral vascular stiffness and gradient by segmented upper limb PWV in healthy and hypertensive individuals. Scientific Reports. 13(1). 19859–19859. 2 indexed citations
6.
Li, Jun, et al.. (2023). Relationship chains of subhealth physical examination indicators: a cross-sectional study using the PLS-SEM approach. Scientific Reports. 13(1). 13640–13640. 5 indexed citations
7.
Cui, Ji, Tao Jiang, Liping Tu, et al.. (2023). Study on the difference and regularity of tongue images in 309 patients with different pathological stages of non-small cell lung cancer. Technology and Health Care. 32(3). 1403–1420. 1 indexed citations
8.
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
9.
Chen, Xinmin, et al.. (2022). Parameter study on characteristic pulse diagram of polycystic ovary syndrome based on logistic regression analysis. Journal of Obstetrics and Gynaecology. 42(8). 3712–3719. 5 indexed citations
10.
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
11.
Liu, Jiayi, Xiaojuan Hu, Liping Tu, et al.. (2021). A New Method for Syndrome Classification of Non‐Small‐Cell Lung Cancer Based on Data of Tongue and Pulse with Machine Learning. BioMed Research International. 2021(1). 1337558–1337558. 15 indexed citations
12.
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
13.
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
14.
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
15.
Tu, Liping, et al.. (2018). The Association of Radial Artery Pulse Wave Variables with the Pulse Wave Velocity and Echocardiographic Parameters in Hypertension. Evidence-based Complementary and Alternative Medicine. 2018(1). 5291759–5291759. 20 indexed citations
16.
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
17.
Cui, Ji, et al.. (2018). Analysis of Pulse Signals Based on Array Pulse Volume. Chinese Journal of Integrative Medicine. 25(2). 103–107. 11 indexed citations
18.
Zhang, Lei, Jiatuo Xu, Baocheng Liu, et al.. (2018). Pulse Wave Cycle Features Analysis of Different Blood Pressure Grades in the Elderly. Evidence-based Complementary and Alternative Medicine. 2018(1). 1976041–1976041. 18 indexed citations
19.
Meng, Dan, Guitao Cao, Ye Duan, et al.. (2017). Tongue Images Classification Based on Constrained High Dispersal Network. Evidence-based Complementary and Alternative Medicine. 2017(1). 7452427–7452427. 32 indexed citations
20.
Xu, Jiatuo, Liping Tu, Zhifeng Zhang, & Xipeng Qiu. (2008). A medical image color correction method base on supervised color constancy. 8 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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