Zhuoshi Wei

523 total citations
18 papers, 224 citations indexed

About

Zhuoshi Wei is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Zhuoshi Wei has authored 18 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Oncology. Recurrent topics in Zhuoshi Wei's work include Colorectal Cancer Screening and Detection (7 papers), Medical Image Segmentation Techniques (6 papers) and AI in cancer detection (6 papers). Zhuoshi Wei is often cited by papers focused on Colorectal Cancer Screening and Detection (7 papers), Medical Image Segmentation Techniques (6 papers) and AI in cancer detection (6 papers). Zhuoshi Wei collaborates with scholars based in United States, China and Thailand. Zhuoshi Wei's co-authors include Tieniu Tan, Zhenan Sun, Xianchao Qiu, Ronald M. Summers, Le Lü, Evrim Türkbey, Lauren Kim, Nicholas Petrick, Jiamin Liu and Shijun Wang and has published in prestigious journals such as American Journal of Roentgenology, Medical Physics and Medical Image Analysis.

In The Last Decade

Zhuoshi Wei

17 papers receiving 218 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhuoshi Wei United States	7	126	99	61	57	40	18	224
Haozhe Liu China	10	128 1.0×	133 1.3×	25 0.4×	27 0.5×	75 1.9×	32	291
Umarani Jayaraman India	10	152 1.2×	194 2.0×	48 0.8×	18 0.3×	44 1.1×	34	291
Akshay Girdhar India	8	81 0.6×	193 1.9×	56 0.9×	29 0.5×	49 1.2×	36	290
Fandong Zhang China	10	45 0.4×	94 0.9×	16 0.3×	112 2.0×	119 3.0×	22	253
Shivanand S. Gornale India	8	68 0.5×	111 1.1×	21 0.3×	40 0.7×	25 0.6×	42	231
Akanksha Joshi India	10	230 1.8×	169 1.7×	95 1.6×	20 0.4×	182 4.5×	27	488
Luke Nicholas Darlow South Africa	8	160 1.3×	48 0.5×	25 0.4×	30 0.5×	6 0.1×	13	193
Peter Rot Slovenia	7	180 1.4×	199 2.0×	45 0.7×	69 1.2×	45 1.1×	12	310
Christof Kauba Austria	14	376 3.0×	228 2.3×	107 1.8×	14 0.2×	26 0.7×	35	431
Martin Aastrup Olsen Denmark	9	176 1.4×	95 1.0×	68 1.1×	8 0.1×	10 0.3×	17	220

Countries citing papers authored by Zhuoshi Wei

Since Specialization

Citations

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

Fields of papers citing papers by Zhuoshi Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuoshi Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Zhuoshi Wei. A scholar is included among the top collaborators of Zhuoshi Wei 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 Zhuoshi Wei. Zhuoshi Wei 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:

18 of 18 papers shown

Liu, Jiamin, David Wang, Le Lü, et al.. (2017). Detection and diagnosis of colitis on computed tomography using deep convolutional neural networks. Medical Physics. 44(9). 4630–4642. 36 indexed citations

Liu, Jiamin, David Wang, Zhuoshi Wei, et al.. (2016). Colitis detection on computed tomography using regional convolutional neural networks. 863–866. 8 indexed citations

Liu, Jiamin, Nathan Lay, Zhuoshi Wei, et al.. (2016). Colitis detection on abdominal CT scans by rich feature hierarchies. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9785. 97851N–97851N. 7 indexed citations

Cherry, Kevin M., Lauren Kim, Shijun Wang, et al.. (2014). Sequential Monte Carlo tracking of the marginal artery by multiple cue fusion and random forest regression. Medical Image Analysis. 19(1). 164–175. 9 indexed citations

Wang, Shijun, Le Lü, Weidong Zhang, et al.. (2013). Sequential Monte Carlo Tracking for Marginal Artery Segmentation on CT Angiography by Multiple Cue Fusion. Lecture notes in computer science. 16(Pt 2). 518–525. 5 indexed citations

Wei, Zhuoshi, Jianhua Yao, Shijun Wang, et al.. (2013). Feasibility of Using the Marginal Blood Vessels as Reference Landmarks for CT Colonography. American Journal of Roentgenology. 202(1). W50–W58. 3 indexed citations

Wei, Zhuoshi, Weidong Zhang, Jianfei Liu, et al.. (2013). Computer-aided detection of colitis on computed tomography using a visual codebook. Zenodo (CERN European Organization for Nuclear Research). 141–144. 6 indexed citations

Wei, Zhuoshi, Jianhua Yao, Shijun Wang, Jiamin Liu, & Ronald M. Summers. (2012). Automated teniae coli detection and identification on computed tomographic colonography. Medical Physics. 39(2). 964–975. 6 indexed citations

Wei, Zhuoshi, Jianhua Yao, Shijun Wang, Jiamin Liu, & Ronald M. Summers. (2012). Computer-aided marginal artery detection on computed tomographic colonography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8315. 83150Z–83150Z. 1 indexed citations

10.

Wang, Shijun, Nicholas Petrick, Robert L. Van Uitert, et al.. (2012). Matching 3-D Prone and Supine CT Colonography Scans Using Graphs. IEEE Transactions on Information Technology in Biomedicine. 16(4). 676–682. 5 indexed citations

11.

Wei, Zhuoshi, Shijun Wang, Nicholas Petrick, et al.. (2012). Supine and prone CT colonography registration by matching graphs of teniae coli. 256. 712–715.

12.

Wang, Shijun, Matthew T. McKenna, Nicholas Petrick, et al.. (2012). ROC-like optimization by sample ranking: Application to CT colonography. 39. 478–481. 1 indexed citations

13.

Wei, Zhuoshi, Jianhua Yao, Shijun Wang, & Ronald M. Summers. (2011). Computer-aided teniae coli detection using height maps from computed tomographic colonography images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7963. 79631G–79631G. 1 indexed citations

14.

Wei, Zhuoshi, Jianhua Yao, Shijun Wang, & Ronald M. Summers. (2010). Haustral fold detection for CT colonography images using Gabor filter. 3. 329–331. 1 indexed citations

15.

Dong, Wenbo, Zhenan Sun, Tieniu Tan, & Zhuoshi Wei. (2009). Quality-based dynamic threshold for iris matching. 1949–1952. 9 indexed citations

16.

Wei, Zhuoshi, Xianchao Qiu, Zhenan Sun, & Tieniu Tan. (2008). Counterfeit iris detection based on texture analysis. Proceedings - International Conference on Pattern Recognition. 1–4. 89 indexed citations

17.

Wei, Zhuoshi, et al.. (2008). Palmprint image synthesis: A preliminary study. 285–288. 6 indexed citations

18.

Wei, Zhuoshi, Tieniu Tan, & Zhenan Sun. (2008). Synthesis of large realistic iris databases using patch-based sampling. Proceedings - International Conference on Pattern Recognition. 1–4. 31 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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