Tiexiang Wen

502 total citations
31 papers, 357 citations indexed

About

Tiexiang Wen is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Tiexiang Wen has authored 31 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Biomedical Engineering. Recurrent topics in Tiexiang Wen's work include Medical Image Segmentation Techniques (17 papers), Image and Signal Denoising Methods (8 papers) and Advanced Image Fusion Techniques (5 papers). Tiexiang Wen is often cited by papers focused on Medical Image Segmentation Techniques (17 papers), Image and Signal Denoising Methods (8 papers) and Advanced Image Fusion Techniques (5 papers). Tiexiang Wen collaborates with scholars based in China, United States and United Kingdom. Tiexiang Wen's co-authors include Jia Gu, Wenjian Qin, Feng Xu, Keith A. Seffen, Yaoqin Xie, T LU, T.J. Lu, Feng Yang, Shifu Chen and Shoujun Zhou and has published in prestigious journals such as BMC Bioinformatics, Neurocomputing and BioMed Research International.

In The Last Decade

Tiexiang Wen

31 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tiexiang Wen China 12 147 140 122 54 34 31 357
Regina Pohle-Fröhlich Germany 7 221 1.5× 99 0.7× 72 0.6× 71 1.3× 21 0.6× 40 396
Tassilo Klein Germany 12 269 1.8× 214 1.5× 125 1.0× 160 3.0× 14 0.4× 28 632
Saeed Kermani Iran 11 245 1.7× 264 1.9× 205 1.7× 148 2.7× 8 0.2× 40 608
O. Basset France 10 86 0.6× 206 1.5× 145 1.2× 52 1.0× 72 2.1× 20 406
Minshan Jiang China 14 190 1.3× 567 4.0× 312 2.6× 43 0.8× 109 3.2× 28 872
Mehrdad Moghbel Malaysia 10 196 1.3× 298 2.1× 54 0.4× 167 3.1× 32 0.9× 17 470
Veronika A. Zimmer United Kingdom 13 137 0.9× 137 1.0× 61 0.5× 101 1.9× 6 0.2× 28 439
Paweł Badura Poland 12 94 0.6× 107 0.8× 89 0.7× 104 1.9× 5 0.1× 34 349
Eduardo Tavares Costa Brazil 9 55 0.4× 125 0.9× 136 1.1× 8 0.1× 99 2.9× 77 337
Sundaresh Ram United States 11 254 1.7× 61 0.4× 42 0.3× 58 1.1× 5 0.1× 46 431

Countries citing papers authored by Tiexiang Wen

Since Specialization
Citations

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

Fields of papers citing papers by Tiexiang Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiexiang Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Tiexiang Wen. A scholar is included among the top collaborators of Tiexiang Wen 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 Tiexiang Wen. Tiexiang Wen 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.
Lin, Xiaofeng, et al.. (2021). A novel multi-DoF surgical robotic system for brachytherapy on liver tumor: Design and control. International Journal of Computer Assisted Radiology and Surgery. 16(6). 1003–1014. 9 indexed citations
2.
Ni, Qian, Yi Zhang, Tiexiang Wen, & Ling Li. (2021). A Sparse Volume Reconstruction Method for Fetal Brain MRI Using Adaptive Kernel Regression. BioMed Research International. 2021(1). 6685943–6685943. 5 indexed citations
3.
Lü, Jian, et al.. (2021). PixelTopoIS: a pixel-topology-coupled guidewire tip segmentation framework for robot-assisted intervention. International Journal of Computer Assisted Radiology and Surgery. 17(2). 329–341. 2 indexed citations
4.
Zhang, Yongliang, Ling Li, Jia Gu, Tiexiang Wen, & Qiang Xu. (2020). Cervical Precancerous Lesion Detection Based on Deep Learning of Colposcopy Images. Journal of Medical Imaging and Health Informatics. 10(5). 1234–1241. 1 indexed citations
5.
Wen, Tiexiang, Cheng Wang, Yi Zhang, & Shoujun Zhou. (2020). A Novel Ultrasound Probe Spatial Calibration Method Using a Combined Phantom and Stylus. Ultrasound in Medicine & Biology. 46(8). 2079–2089. 19 indexed citations
6.
Wen, Tiexiang, et al.. (2019). One-Class Artificial Neural Network Based Liver Vessel Segmentation. 1–6. 1 indexed citations
7.
Liu, Lei, Kai Li, Wenjian Qin, et al.. (2018). Automated breast tumor detection and segmentation with a novel computational framework of whole ultrasound images. Medical & Biological Engineering & Computing. 56(2). 183–199. 30 indexed citations
8.
Zhou, Shoujun, Baolin Li, Yuanquan Wang, et al.. (2018). The line- and block-like structures extraction via ingenious snake. Pattern Recognition Letters. 112. 324–331. 6 indexed citations
9.
Chen, Shifu, Tanxiao Huang, Tiexiang Wen, et al.. (2018). MutScan: fast detection and visualization of target mutations by scanning FASTQ data. BMC Bioinformatics. 19(1). 16–16. 11 indexed citations
10.
Wen, Tiexiang, Feng Yang, Jia Gu, et al.. (2017). An adaptive kernel regression method for 3D ultrasound reconstruction using speckle prior and parallel GPU implementation. Neurocomputing. 275. 208–223. 15 indexed citations
11.
Liang, Shujun, et al.. (2017). Nonlocal total variation based on symmetric Kullback-Leibler divergence for the ultrasound image despeckling. BMC Medical Imaging. 17(1). 57–57. 8 indexed citations
12.
Wen, Tiexiang, et al.. (2015). A novel Bayesian-based nonlocal reconstruction method for freehand 3D ultrasound imaging. Neurocomputing. 168. 104–118. 17 indexed citations
13.
Wen, Tiexiang, et al.. (2014). Reconstruction of freehand 3D ultrasound based on kernel regression. BioMedical Engineering OnLine. 13(1). 124–124. 26 indexed citations
14.
Luo, Qing, Wenjian Qin, Tiexiang Wen, et al.. (2013). Segmentation of abdomen MR images using kernel graph cuts with shape priors. BioMedical Engineering OnLine. 12(1). 124–124. 15 indexed citations
15.
Zhu, Qingsong, Tiexiang Wen, Qi Li, et al.. (2013). Contour-Based Image Registration using Bipartite Graph Matching with Munkres Algorithm. Applied Mathematics & Information Sciences. 8(1). 263–271. 1 indexed citations
16.
Yang, Fan, Wenjian Qin, Yaoqin Xie, Tiexiang Wen, & Jia Gu. (2012). A shape-optimized framework for kidney segmentation in ultrasound images using NLTV denoising and DRLSE. BioMedical Engineering OnLine. 11(1). 82–82. 24 indexed citations
17.
Liu, Cong, Teng Zhang, Guoru Zhao, Tiexiang Wen, & Lei Wang. (2010). Clubfoot Pattern Recognition towards Personalized Insole Design. 3. 273–276. 4 indexed citations
18.
19.
Wen, Tiexiang, et al.. (2009). An acceleration-based control framework for interactive gaming. PubMed. 3. 2388–2391. 4 indexed citations
20.
Xu, Feng, Tiexiang Wen, T LU, & Keith A. Seffen. (2007). Skin biothermomechanics for medical treatments. Journal of the mechanical behavior of biomedical materials. 1(2). 172–187. 46 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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