Xin‐Hua Hu

599 total citations
40 papers, 440 citations indexed

About

Xin‐Hua Hu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biophysics and Biomedical Engineering. According to data from OpenAlex, Xin‐Hua Hu has authored 40 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Biophysics and 12 papers in Biomedical Engineering. Recurrent topics in Xin‐Hua Hu's work include Cell Image Analysis Techniques (11 papers), Digital Holography and Microscopy (8 papers) and Photoacoustic and Ultrasonic Imaging (7 papers). Xin‐Hua Hu is often cited by papers focused on Cell Image Analysis Techniques (11 papers), Digital Holography and Microscopy (8 papers) and Photoacoustic and Ultrasonic Imaging (7 papers). Xin‐Hua Hu collaborates with scholars based in China, United States and Iraq. Xin‐Hua Hu's co-authors include Junhua Ding, Xiaojun Kang, Jun Q. Lu, Jiu Chen, Kun Yang, Dongming Liu, Lü Jin, Linyin Feng, Venkat N. Gudivada and Yuanjie Zou and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Journal of Neurochemistry.

In The Last Decade

Xin‐Hua Hu

39 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin‐Hua Hu China 13 109 85 65 60 55 40 440
Xuejun Liu China 14 124 1.1× 97 1.1× 21 0.3× 53 0.9× 36 0.7× 44 680
Ce Wang China 15 132 1.2× 134 1.6× 39 0.6× 131 2.2× 4 0.1× 39 803
Ioannis Kalatzis Greece 19 356 3.3× 294 3.5× 67 1.0× 119 2.0× 59 1.1× 73 946
Patrick Maier Germany 17 37 0.3× 61 0.7× 7 0.1× 58 1.0× 6 0.1× 66 877
Hiroharu Kawanaka Japan 13 117 1.1× 211 2.5× 41 0.6× 39 0.7× 15 0.3× 115 601
Hairong Lv China 19 123 1.1× 263 3.1× 46 0.7× 41 0.7× 6 0.1× 62 891
Pilar Sobrevilla Spain 11 143 1.3× 150 1.8× 50 0.8× 117 1.9× 32 0.6× 42 792
Christian S. Perone Canada 7 112 1.0× 60 0.7× 32 0.5× 64 1.1× 6 0.1× 9 361
Lia Morra Italy 15 307 2.8× 282 3.3× 15 0.2× 75 1.3× 8 0.1× 49 749
E. Montseny Spain 9 130 1.2× 144 1.7× 50 0.8× 59 1.0× 32 0.6× 40 698

Countries citing papers authored by Xin‐Hua Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xin‐Hua Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin‐Hua Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xin‐Hua Hu. A scholar is included among the top collaborators of Xin‐Hua 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 Xin‐Hua Hu. Xin‐Hua Hu 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.
Zhu, Yong, et al.. (2024). A Novel Method of Multiparameter Spectrophotometry for Composition Analysis of and Bacterial Detection in Milk. IEEE Transactions on Instrumentation and Measurement. 73. 1–8. 1 indexed citations
2.
Lu, Jun Q., et al.. (2024). Rapid inverse radiative transfer solver for multiparameter spectrophotometry without integrating sphere. Journal of Biomedical Optics. 29(S1). S11508–S11508. 2 indexed citations
3.
Lu, Jun Q., et al.. (2023). Study of inverse solution for multiparameter spectrophotometry by three photodiodes. 3–3. 1 indexed citations
4.
Liu, Dongming, Jiu Chen, Honglin Ge, et al.. (2022). Differentiation of malignant brain tumor types using intratumoral and peritumoral radiomic features. Frontiers in Oncology. 12. 848846–848846. 11 indexed citations
5.
Wang, Wenjin, et al.. (2022). Analysis of polarized diffraction images of human red blood cells: a numerical study. Biomedical Optics Express. 13(3). 1161–1161. 3 indexed citations
6.
Zhao, Lin, et al.. (2021). Robustness of inverse solutions for radiative transfer parameters from light signals measured with different detection configurations. Journal of Quantitative Spectroscopy and Radiative Transfer. 274. 107883–107883. 3 indexed citations
7.
Yu, Yun, Xi Wu, Jiu Chen, et al.. (2021). Characterizing Brain Tumor Regions Using Texture Analysis in Magnetic Resonance Imaging. Frontiers in Neuroscience. 15. 634926–634926. 7 indexed citations
8.
Wang, Wenjin, et al.. (2020). Machine learning of diffraction image patterns for accurate classification of cells modeled with different nuclear sizes. Journal of Biophotonics. 13(9). e202000036–e202000036. 7 indexed citations
9.
Hu, Xin‐Hua, et al.. (2020). APPLICATION OF FUNCTIONAL NEAR-INFRARED SPECTROSCOPY IN NEUROLOGICAL DISEASES: EPILEPSY, STROKE AND PARKINSON. Journal of Mechanics in Medicine and Biology. 20(10). 2040023–2040023. 2 indexed citations
10.
Liu, Dongming, Jiu Chen, Xin‐Hua Hu, et al.. (2020). Contralesional homotopic functional plasticity in patients with temporal glioma. Journal of neurosurgery. 134(2). 417–425. 25 indexed citations
11.
Liu, Dongming, Xin‐Hua Hu, Yong Liu, et al.. (2019). Potential Intra- or Cross-Network Functional Reorganization of the Triple Unifying Networks in Patients with Frontal Glioma. World Neurosurgery. 128. e732–e743. 19 indexed citations
12.
Hu, Guanjie, Xin‐Hua Hu, Kun Yang, et al.. (2019). Restructuring of contralateral gray matter volume associated with cognition in patients with unilateral temporal lobe glioma before and after surgery. Human Brain Mapping. 41(7). 1786–1796. 24 indexed citations
13.
Chen, Cheng, et al.. (2018). Quantitative characterization of turbidity by radiative transfer based reflectance imaging. Biomedical Optics Express. 9(5). 2081–2081. 6 indexed citations
14.
Wang, Wenjin, et al.. (2018). Rapid classification of micron-sized particles of sphere, cylinders and ellipsoids by diffraction image parameters combined with scattered light intensity. Journal of Quantitative Spectroscopy and Radiative Transfer. 224. 453–459. 9 indexed citations
15.
Feng, Yuanming, et al.. (2018). Profiling pleural effusion cells by a diffraction imaging method. 67. 57–57. 1 indexed citations
16.
Ding, Junhua, Xiaojun Kang, & Xin‐Hua Hu. (2017). Validating a Deep Learning Framework by Metamorphic Testing. 28–34. 42 indexed citations
17.
Chen, Zhan, Jianfen Lu, Elizabeth T. Ables, et al.. (2017). Quantitative analysis and comparison of 3D morphology between viable and apoptotic MCF-7 breast cancer cells and characterization of nuclear fragmentation. PLoS ONE. 12(9). e0184726–e0184726. 15 indexed citations
18.
Ding, Junhua, Xiaojun Kang, & Xin‐Hua Hu. (2017). Validating a deep learning framework by metamorphic testing. 28–34. 23 indexed citations
19.
Zhang, Jun, et al.. (2016). Realistic optical cell modeling and diffraction imaging simulation for study of optical and morphological parameters of nucleus. Optics Express. 24(1). 366–366. 11 indexed citations
20.
Hu, Xin‐Hua, Lü Jin, & Linyin Feng. (2004). Erk1/2 but not PI3K pathway is required for neurotrophin 3‐induced oligodendrocyte differentiation of post‐natal neural stem cells. Journal of Neurochemistry. 90(6). 1339–1347. 33 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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