Xinghua Yao

768 total citations
17 papers, 361 citations indexed

About

Xinghua Yao is a scholar working on Complementary and alternative medicine, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Xinghua Yao has authored 17 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Complementary and alternative medicine, 4 papers in Physiology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Xinghua Yao's work include Traditional Chinese Medicine Studies (10 papers), Salivary Gland Disorders and Functions (4 papers) and Cancer-related molecular mechanisms research (3 papers). Xinghua Yao is often cited by papers focused on Traditional Chinese Medicine Studies (10 papers), Salivary Gland Disorders and Functions (4 papers) and Cancer-related molecular mechanisms research (3 papers). Xinghua Yao collaborates with scholars based in China and United States. Xinghua Yao's co-authors include Jiatuo Xu, Ji Cui, Jing-bin Huang, Liping Tu, Xuxiang Ma, Yixiang Chen, Xiaojin Li, Yan Huang, Xiaojuan Hu and Guo‐Qiang Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Frontiers in Physiology.

In The Last Decade

Xinghua Yao

15 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xinghua Yao China	10	166	73	54	52	44	17	361
Jiatuo Xu China	10	238 1.4×	19 0.3×	50 0.9×	29 0.6×	26 0.6×	31	381
Tayo Obafemi-Ajayi United States	12	87 0.5×	74 1.0×	19 0.4×	64 1.2×	10 0.2×	60	469
Jun-Su Jang South Korea	11	132 0.8×	9 0.1×	8 0.1×	55 1.1×	9 0.2×	39	366
Xuxiang Ma China	8	183 1.1×	7 0.1×	61 1.1×	28 0.5×	24 0.5×	12	280
Liping Tu China	13	379 2.3×	11 0.2×	103 1.9×	48 0.9×	45 1.0×	45	607
Ji Cui China	11	263 1.6×	7 0.1×	68 1.3×	44 0.8×	44 1.0×	30	436
Miran Lee South Korea	13	9 0.1×	77 1.1×	21 0.4×	30 0.6×	12 0.3×	42	404
Jiatuo Xu China	12	265 1.6×	6 0.1×	73 1.4×	27 0.5×	20 0.5×	47	444
Qiuling Xu China	9	98 0.6×	30 0.4×	3 0.1×	46 0.9×	3 0.1×	21	293
Kun-chan Lan Taiwan	9	50 0.3×	33 0.5×	8 0.1×	18 0.3×	2 0.0×	12	254

Countries citing papers authored by Xinghua Yao

Since Specialization

Citations

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

Fields of papers citing papers by Xinghua Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinghua Yao

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

All Works

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17 of 17 papers shown

Cui, Ji, et al.. (2024). Objective Evaluation of Pulse Width Using an Array Pulse Diagram. SHILAP Revista de lepidopterología. 29. 2515690X241241859–2515690X241241859.

Shi, Yulin, Hao Wang, Xinghua Yao, et al.. (2023). Machine learning prediction models for different stages of non-small cell lung cancer based on tongue and tumor marker: a pilot study. BMC Medical Informatics and Decision Making. 23(1). 197–197. 5 indexed citations

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

Guo, Xiaojing, Jing-bin Huang, Xinghua Yao, et al.. (2022). Relationships Between Diurnal Changes of Tongue Coating Microbiota and Intestinal Microbiota. Frontiers in Cellular and Infection Microbiology. 12. 813790–813790. 9 indexed citations

Shi, Yulin, Xinghua Yao, Jiatuo Xu, et al.. (2022). A New Approach of Fatigue Classification Based on Data of Tongue and Pulse With Machine Learning. Frontiers in Physiology. 12. 18 indexed citations

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

Yao, Xinghua, et al.. (2022). Assessment Parameters for Arrayed Pulse Wave Analysis and Application in Hypertensive Disorders. Evidence-based Complementary and Alternative Medicine. 2022. 1–13. 4 indexed citations

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

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

10.

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

11.

Yao, Xinghua, et al.. (2021). An Imbalanced-Data Processing Algorithm for the Prediction of Heart Attack in Stroke Patients. IEEE Access. 9. 25394–25404. 42 indexed citations

12.

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

13.

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

14.

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

15.

Yao, Xinghua, Xiaojin Li, Qiang Ye, et al.. (2020). A robust deep learning approach for automatic classification of seizures against non-seizures. Biomedical Signal Processing and Control. 64. 102215–102215. 70 indexed citations

16.

Yao, Xinghua, Xiaojin Li, Qiang Ye, et al.. (2018). A Robust Deep Learning Approach for Automatic Seizure Detection.. 2 indexed citations

17.

Yao, Xinghua & Yixiang Chen. (2014). A Proof System in Process Algebra for Demand and Supply. 228–236.

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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