Shanxing Ou

435 total citations
36 papers, 325 citations indexed

About

Shanxing Ou is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Shanxing Ou has authored 36 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 16 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Biomedical Engineering. Recurrent topics in Shanxing Ou's work include Medical Image Segmentation Techniques (11 papers), Cardiac Imaging and Diagnostics (5 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Shanxing Ou is often cited by papers focused on Medical Image Segmentation Techniques (11 papers), Cardiac Imaging and Diagnostics (5 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Shanxing Ou collaborates with scholars based in China, Hong Kong and Australia. Shanxing Ou's co-authors include Rongqian Yang, Xiuwen Chen, Xiong Huang, Fengchun Wu, Lihua Li, Ken Cai, Lianfang Tian, Bin Li, Kan Chen and Cong Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Psychology.

In The Last Decade

Shanxing Ou

35 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shanxing Ou China	11	116	94	86	66	57	36	325
Jyothi Samanth India	8	95 0.8×	76 0.8×	43 0.5×	45 0.7×	26 0.5×	24	308
Kang‐Ping Lin Taiwan	15	108 0.9×	246 2.6×	98 1.1×	158 2.4×	136 2.4×	45	598
Beanbonyka Rim South Korea	9	55 0.5×	141 1.5×	37 0.4×	66 1.0×	78 1.4×	11	362
Ernesto Zacur United Kingdom	16	311 2.7×	120 1.3×	111 1.3×	77 1.2×	20 0.4×	31	574
João Luiz Azevedo de Carvalho Brazil	11	177 1.5×	110 1.2×	58 0.7×	134 2.0×	35 0.6×	27	378
Ahmet Genç Türkiye	7	80 0.7×	174 1.9×	114 1.3×	22 0.3×	28 0.5×	22	452
Vaanathi Sundaresan United Kingdom	9	47 0.4×	217 2.3×	62 0.7×	22 0.3×	91 1.6×	20	509
Ana I. L. Namburete United Kingdom	15	37 0.3×	216 2.3×	138 1.6×	130 2.0×	33 0.6×	41	717
Hannu Sorvoja Finland	12	130 1.1×	48 0.5×	81 0.9×	289 4.4×	19 0.3×	28	439
Chiun-Li Chin Taiwan	9	21 0.2×	52 0.6×	70 0.8×	73 1.1×	24 0.4×	39	267

Countries citing papers authored by Shanxing Ou

Since Specialization

Citations

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

Fields of papers citing papers by Shanxing Ou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanxing Ou

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

All Works

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20 of 20 papers shown

Wang, Dexin, et al.. (2022). Low-dissipation optimization of the prefrontal cortex in the −12° head-down tilt position: A functional near-infrared spectroscopy study. Frontiers in Psychology. 13. 1051256–1051256. 1 indexed citations

Liu, Haipeng, Shanxing Ou, Yuhang Xu, et al.. (2020). Effect of microcirculatory resistance on coronary blood flow and instantaneous wave-free ratio: A computational study. Computer Methods and Programs in Biomedicine. 196. 105632–105632. 10 indexed citations

Cui, Liqian, et al.. (2018). Effect of gender-related depression on heart rate variability during an autonomic nervous test. Psychiatry Research. 272. 258–264. 14 indexed citations

Dong, Xunde, et al.. (2018). The predictive value of Cardiodynamicsgram in myocardial perfusion abnormalities. PLoS ONE. 13(12). e0208859–e0208859. 3 indexed citations

Chen, Xiuwen, et al.. (2017). Heart rate variability in patients with major depression disorder during a clinical autonomic test. Psychiatry Research. 256. 207–211. 35 indexed citations

Yang, Rongqian, Xiuwen Chen, Fengchun Wu, et al.. (2017). Depression recognition according to heart rate variability using Bayesian Networks. Journal of Psychiatric Research. 95. 282–287. 37 indexed citations

Yang, Rongqian, et al.. (2017). Nonrigid registration with corresponding points constraint for automatic segmentation of cardiac DSCT images. BioMedical Engineering OnLine. 16(1). 39–39. 4 indexed citations

Cheng, Xiaoguang, Kai Li, Shanxing Ou, et al.. (2016). Heterogeneity in Spinal Bone Mineral Density Among Young Adults From Three Eastern Provincial Capital Cities in Mainland China. Journal of Clinical Densitometry. 20(2). 198–204. 8 indexed citations

Wang, Cong, et al.. (2015). A new method for early detection of myocardial ischemia: cardiodynamicsgram (CDG). Science China Information Sciences. 59(1). 1–11. 23 indexed citations

10.

Yang, Rongqian, et al.. (2015). Synchronization Design and Error Analysis of Near-Infrared Cameras in Surgical Navigation. Journal of Medical Systems. 40(1). 7–7. 5 indexed citations

11.

Cai, Ken, et al.. (2015). A Semi-Automatic Coronary Artery Segmentation Framework Using Mechanical Simulation. Journal of Medical Systems. 39(10). 129–129. 19 indexed citations

12.

Zha, Yunfei, Li Wang, Rongqian Yang, et al.. (2015). Nonrigid Registration Regularized by Shape Information: Application to Atlas Construction of Cardiac CT Images. PLoS ONE. 10(6). e0130730–e0130730. 1 indexed citations

13.

Zhang, Gang, et al.. (2015). An Ensemble Learning Based Framework for Traditional Chinese Medicine Data Analysis with ICD‐10 Labels. The Scientific World JOURNAL. 2015(1). 507925–507925. 3 indexed citations

14.

Yang, Rongqian, et al.. (2015). Simulation and Visualization of Liver Cancer Ablation Focus in Optical Surgical Navigation. Journal of Medical Systems. 40(1). 19–19. 5 indexed citations

15.

Ou, Shanxing, et al.. (2015). Dual-energy CT angiography for the diagnosis of intracranial dural arteriovenous fistula.. PubMed. 8(5). 7802–8. 8 indexed citations

16.

Li, Bin, et al.. (2013). Detection of Pulmonary Nodules in CT Images Based on Fuzzy Integrated Active Contour Model and Hybrid Parametric Mixture Model. Computational and Mathematical Methods in Medicine. 2013. 1–15. 17 indexed citations

17.

Ou, Shanxing, et al.. (2010). [Imaging of congenital coronary artery anomalies by dual-source computed tomography angiography].. PubMed. 32(6). 690–4. 2 indexed citations

18.

Li, Bin, Lianfang Tian, & Shanxing Ou. (2010). An Optical Model for Translucent Volume Rendering and Its Implementation Using the Preintegrated Shear‐Warp Algorithm. International Journal of Biomedical Imaging. 2010(1). 429051–429051. 3 indexed citations

19.

Li, Bin, Shanxing Ou, & Lianfang Tian. (2010). Rapid Multimodal Medical Image Registration and Fusion in 3D Conformal Radiotherapy Treatment Planning. HKIE Transactions. 17(3). 34–44. 3 indexed citations

20.

Ou, Shanxing. (2009). Research Progress of Liver CT Image Segmentation Techniques. Chinese Medical Equipment Journal. 4 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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