Su Huang

699 total citations
46 papers, 515 citations indexed

About

Su Huang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Su Huang has authored 46 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 22 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Biomedical Engineering. Recurrent topics in Su Huang's work include Medical Image Segmentation Techniques (24 papers), Medical Imaging Techniques and Applications (10 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Su Huang is often cited by papers focused on Medical Image Segmentation Techniques (24 papers), Medical Imaging Techniques and Applications (10 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Su Huang collaborates with scholars based in Singapore, China and United States. Su Huang's co-authors include Wiesław L. Nowinski, Jimin Liu, Sudhakar K. Venkatesh, Jiayin Zhou, Weimin Huang, Zhiping Lin, Lynette Teo, Ihar Volkau, Rajagopalan Srinivasan and Shiaofen Fang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

In The Last Decade

Su Huang

43 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Su Huang Singapore	14	284	227	122	61	51	46	515
Roman Goldenberg Israel	11	361 1.3×	161 0.7×	118 1.0×	71 1.2×	42 0.8×	32	618
Daniel B. Russakoff United States	14	351 1.2×	452 2.0×	163 1.3×	67 1.1×	57 1.1×	38	822
David G. Gobbi Canada	11	206 0.7×	229 1.0×	179 1.5×	40 0.7×	125 2.5×	44	569
Florian Link Germany	7	136 0.5×	159 0.7×	89 0.7×	63 1.0×	56 1.1×	9	422
Hervé Lombaert Canada	14	432 1.5×	351 1.5×	131 1.1×	118 1.9×	35 0.7×	40	843
Amod Jog United States	15	341 1.2×	227 1.0×	143 1.2×	87 1.4×	132 2.6×	32	698
Weixin Si China	14	196 0.7×	84 0.4×	140 1.1×	40 0.7×	91 1.8×	66	456
Didier Wolf France	14	297 1.0×	305 1.3×	126 1.0×	84 1.4×	55 1.1×	54	800
Felix Ritter Germany	13	318 1.1×	129 0.6×	123 1.0×	67 1.1×	125 2.5×	30	625
Nishant Ravikumar United Kingdom	15	205 0.7×	325 1.4×	142 1.2×	105 1.7×	19 0.4×	63	669

Countries citing papers authored by Su Huang

Since Specialization

Citations

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

Fields of papers citing papers by Su Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su Huang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Huang, Su, Hongwei Yu, Danni Ai, Guolin Ma, & Jian Yang. (2024). CLIP and image integrative prompt for anterior mediastinal lesion segmentation in CT image. 3315–3318.

Huang, Su, Jingfan Fan, Jing Chen, et al.. (2021). Anterior Mediastinal Lesion Segmentation Based on Two-Stage 3D ResUNet With Attention Gates and Lung Segmentation. Frontiers in Oncology. 10. 618357–618357. 4 indexed citations

Li, Cheng, Su Huang, Feng Liu, et al.. (2013). Fast and robust extraction of surrogate respiratory signal from intra-operative liver ultrasound images. International Journal of Computer Assisted Radiology and Surgery. 8(6). 1027–1035. 6 indexed citations

Zhou, Jiayin, Sudhakar K. Venkatesh, Su Huang, et al.. (2013). Computer-aided focal liver lesion detection. International Journal of Computer Assisted Radiology and Surgery. 8(4). 511–525. 16 indexed citations

Huang, Su. (2012). An Empirical Study on Corporate Social Responsibility's Influence on Corporate Image——Evidence from Banking Industry in China. 1 indexed citations

Yuan, Feiniu, et al.. (2011). Modeling n-Furcated Liver vessels From a 3-D Segmented Volume Using Hole-Making and Subdivision Methods. IEEE Transactions on Biomedical Engineering. 59(2). 552–561. 11 indexed citations

Yang, Yang, et al.. (2010). A rare presentation of pemphigus vulgaris as multiple pustules. SHILAP Revista de lepidopterología. 1 indexed citations

Huang, Su, et al.. (2010). An Image-Based Comprehensive Approach for Automatic Segmentation of Left Ventricle from Cardiac Short Axis Cine MR Images. Journal of Digital Imaging. 24(4). 598–608. 63 indexed citations

Liu, Jimin, et al.. (2010). Automatic Model-guided Segmentation of the Human Brain Ventricular System From CT Images. Academic Radiology. 17(6). 718–726. 29 indexed citations

10.

Nowinski, Wiesław L., A. Thirunavuukarasuu, Ihar Volkau, et al.. (2009). A new presentation and exploration of human cerebral vasculature correlated with surface and sectional neuroanatomy. Anatomical Sciences Education. 2(1). 24–33. 23 indexed citations

11.

Hu, Qingmao, et al.. (2008). Automatic and Adaptive Brain Morphometry on MR Images. Radiographics. 28(2). 345–356. 3 indexed citations

12.

Liu, Jimin, Wenpeng Gao, Su Huang, & Wiesław L. Nowinski. (2008). A Model-Based, Semi-Global Segmentation Approach for Automatic 3-D Point Landmark Localization in Neuroimages. IEEE Transactions on Medical Imaging. 27(8). 1034–1044. 20 indexed citations

13.

Hou, Zujun, Su Huang, Qingmao Hu, & Wiesław L. Nowinski. (2006). A Fast and Automatic Method to Correct Intensity Inhomogeneity in MR Brain Images. Lecture notes in computer science. 9(Pt 2). 324–331. 14 indexed citations

14.

Huang, Su, et al.. (2006). IVME: A tool for editing, manipulation, quantification, and labeling of cerebrovascular models. Computerized Medical Imaging and Graphics. 30(3). 187–195. 4 indexed citations

15.

Huang, Su. (2005). Affects on gravidas and neonates in cases of late pregnancy complicating with latent syphilis. Zhongguo fuyou baojian. 1 indexed citations

16.

Huang, Su, et al.. (2005). A Medical Imaging and Visualization Toolkit in Java. Journal of Digital Imaging. 19(1). 17–29. 6 indexed citations

17.

Huang, Su. (2003). City Traffic Pollution and Its Control in Nanning.

18.

Huang, Su. (2003). A STUDY OF CONVECTIVE HEAT TRANSFER IN PASSIVE SOLAR GREENHOUSE WITH HEAT STORAGE. Journal of Engineering Thermophysics.

19.

Huang, Su. (2001). Viral etiological study in children viral pneumonia. 2 indexed citations

20.

Fang, Shiaofen, Su Huang, Rajagopalan Srinivasan, & Raghu Raghavan. (1996). Deformable volume rendering by 3D texture mapping and octree encoding. IEEE Visualization. 25(11). 73–80. 28 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.

Explore authors with similar magnitude of impact