Xiaojuan Hu

562 total citations
19 papers, 363 citations indexed

About

Xiaojuan Hu is a scholar working on Complementary and alternative medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiaojuan Hu has authored 19 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Complementary and alternative medicine, 4 papers in Surgery and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiaojuan Hu's work include Traditional Chinese Medicine Studies (10 papers), Salivary Gland Disorders and Functions (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Xiaojuan Hu is often cited by papers focused on Traditional Chinese Medicine Studies (10 papers), Salivary Gland Disorders and Functions (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Xiaojuan Hu collaborates with scholars based in China and United States. Xiaojuan Hu's co-authors include Liping Tu, Ji Cui, Jing-bin Huang, Jiatuo Xu, Jiatuo Xu, Qingguang Chen, Xuxiang Ma, Xinghua Yao, Changle Zhou and Jingbo Chen and has published in prestigious journals such as BioMed Research International, Experimental Biology and Medicine and BMC Cancer.

In The Last Decade

Xiaojuan Hu

19 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaojuan Hu China	9	200	61	55	41	41	19	363
Jiatuo Xu China	10	238 1.2×	51 0.8×	50 0.9×	29 0.7×	65 1.6×	31	381
Ji Cui China	11	263 1.3×	60 1.0×	68 1.2×	44 1.1×	69 1.7×	30	436
Jiatuo Xu China	12	265 1.3×	60 1.0×	73 1.3×	27 0.7×	67 1.6×	47	444
Xuxiang Ma China	8	183 0.9×	30 0.5×	61 1.1×	28 0.7×	31 0.8×	12	280
Liping Tu China	13	379 1.9×	75 1.2×	103 1.9×	48 1.2×	95 2.3×	45	607
Liliany Souza de Brito Amaral Brazil	10	14 0.1×	69 1.1×	14 0.3×	22 0.5×	27 0.7×	18	337
Hyeonhoon Lee South Korea	9	25 0.1×	55 0.9×	7 0.1×	37 0.9×	11 0.3×	29	271
Zeeshan Ramzan United States	12	27 0.1×	36 0.6×	19 0.3×	15 0.4×	8 0.2×	31	425
Jia Tan Singapore	6	15 0.1×	100 1.6×	21 0.4×	8 0.2×	19 0.5×	12	385
Haoran Ding China	11	25 0.1×	78 1.3×	31 0.6×	40 1.0×	28 0.7×	20	264

Countries citing papers authored by Xiaojuan Hu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaojuan Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojuan Hu

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

All Works

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19 of 19 papers shown

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

Zhang, Muzi, Ming Li, Zhenlu Wang, et al.. (2023). Temporal correlations of ferroptosis, inflammation and oxidative stress under acute ammonia exposure in brain tissue of yellow catfish (Pelteobagrus fulvidraco). Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 271. 109693–109693. 10 indexed citations

Hu, Xiaojuan, et al.. (2023). Correlation of Serum Clara Cell Secretory Protein 16, Plasma Fibrinogen and Serum Amyloid A with the Severity of Acute Exacerbated COPD and Their Combination in Prognosis Assessment. International Journal of COPD. Volume 18. 1949–1957. 4 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

Luo, Yukun, Xuelei He, Kun Wang, et al.. (2022). Development and validation of the diagnostic accuracy of artificial intelligence-assisted ultrasound in the classification of splenic trauma. Annals of Translational Medicine. 10(19). 1060–1060. 10 indexed citations

Hu, Xiaojuan, et al.. (2022). Correlation Analysis of Data of Tongue and Pulse in Patients With Disease Fatigue and Sub-health Fatigue. INQUIRY The Journal of Health Care Organization Provision and Financing. 59. 2846654509–2846654509. 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

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

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

10.

Hu, Xiaojuan, Ting Wu, Chenxi Wang, Jun Li, & Chunmei Ying. (2020). CD248+CD8+ T lymphocytes suppress pathological vascular remodeling in human thoracic aortic aneurysms. Experimental Biology and Medicine. 246(2). 121–129. 7 indexed citations

11.

Hu, Xiaojuan, Fen Zhao, Hongmei Yu, et al.. (2020). GC-PROM: validation of a patient-reported outcomes measure for Chinese patients with gastric cancer. BMC Cancer. 20(1). 41–41. 4 indexed citations

12.

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

13.

Hu, Xiaojuan, et al.. (2018). Effects of Economic Globalization, Foreign Capital Influx on Export in ECOWAS. Global economy journal. 18(4). 3 indexed citations

14.

Xu, Jiatuo, Xiaojuan Hu, Qingguang Chen, et al.. (2017). Diagnostic Method of Diabetes Based on Support Vector Machine and Tongue Images. BioMed Research International. 2017. 1–9. 77 indexed citations

15.

Tu, Liping, et al.. (2016). The Classification of Tongue Colors with Standardized Acquisition and ICC Profile Correction in Traditional Chinese Medicine. BioMed Research International. 2016. 1–9. 39 indexed citations

16.

Wang, Chenxi, Ting Wu, Xiaojuan Hu, et al.. (2015). Identification and characterization of CD4(+)AT2(+) T lymphocyte population in human thoracic aortic aneurysm.. PubMed. 7(2). 232–41. 6 indexed citations

17.

Hu, Xiaojuan, et al.. (2014). Wrist pulse signals analysis based on Deep Convolutional Neural Networks. 1–7. 30 indexed citations

18.

Du, Nana, Liang-Quan Sheng, Zhao‐Di Liu, et al.. (2013). The binding characteristics of isoniazid with copper–zinc superoxide dismutase and its effect on enzymatic activity. Chemistry Central Journal. 7(1). 97–97. 7 indexed citations

19.

Hu, Xiaojuan, et al.. (2012). An Improved QRS Detection Approach based on Two-Lead Bi-Referring. 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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