Xiaowei Ding

1.4k total citations · 1 hit paper
8 papers, 825 citations indexed

About

Xiaowei Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xiaowei Ding has authored 8 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xiaowei Ding's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced Neural Network Applications (3 papers) and Medical Image Segmentation Techniques (2 papers). Xiaowei Ding is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced Neural Network Applications (3 papers) and Medical Image Segmentation Techniques (2 papers). Xiaowei Ding collaborates with scholars based in China and United States. Xiaowei Ding's co-authors include Nima Tajbakhsh, Zhihao Wu, Jeffrey N. Chiang, Qian Li, Qian Li, Demetri Terzopoulos, Kang Dang, Zhan Bu, Lei Shi and Shuqing Li and has published in prestigious journals such as Expert Systems with Applications, Medical Image Analysis and Journal of Documentation.

In The Last Decade

Xiaowei Ding

7 papers receiving 810 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation

2020 568 citations Nima Tajbakhsh, Qian Li et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaowei Ding China	5	441	364	364	114	87	8	825
Salman Khan United States	6	299 0.7×	244 0.7×	249 0.7×	131 1.1×	100 1.1×	18	742
Jinzheng Cai United States	11	408 0.9×	357 1.0×	383 1.1×	101 0.9×	50 0.6×	17	773
Moein Heidari Iran	6	337 0.8×	385 1.1×	304 0.8×	120 1.1×	168 1.9×	7	855
Stefanie Demirci Germany	12	268 0.6×	268 0.7×	347 1.0×	129 1.1×	50 0.6×	22	718
Youngjin Yoo Canada	13	388 0.9×	228 0.6×	203 0.6×	101 0.9×	155 1.8×	30	748
Qihang Yu United States	10	365 0.8×	615 1.7×	405 1.1×	86 0.8×	94 1.1×	20	991
Phillip Chlap Australia	10	359 0.8×	182 0.5×	198 0.5×	117 1.0×	79 0.9×	30	792
Roger Trullo United States	6	531 1.2×	460 1.3×	264 0.7×	201 1.8×	61 0.7×	11	976
Shekoofeh Azizi United States	10	333 0.8×	362 1.0×	350 1.0×	97 0.9×	35 0.4×	25	876
Zhoubing Xu United States	15	627 1.4×	402 1.1×	221 0.6×	220 1.9×	76 0.9×	37	976

Countries citing papers authored by Xiaowei Ding

Since Specialization

Citations

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

Fields of papers citing papers by Xiaowei Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaowei Ding

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

8 of 8 papers shown

1.

Chen, Hao, et al.. (2024). A Study on Doctor Recommendation Model in Medical Guidance Services. 網際網路技術學刊. 25(5). 659–669.

2.

Shi, Lei, Shuqing Li, Xiaowei Ding, & Zhan Bu. (2022). Selection bias mitigation in recommender system using uninteresting items based on temporal visibility. Expert Systems with Applications. 213. 118932–118932. 9 indexed citations

3.

Dang, Kang, et al.. (2021). A Location-Sensitive Local Prototype Network For Few-Shot Medical Image Segmentation. 262–266. 24 indexed citations

4.

Tajbakhsh, Nima, et al.. (2020). Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation. Medical Image Analysis. 63. 101693–101693. 568 indexed citations breakdown →

5.

Li, Shuqing, et al.. (2020). Research on discipline development and discipline difference of intelligence science in China. Journal of Documentation. 77(2). 594–616. 4 indexed citations

6.

Tajbakhsh, Nima, et al.. (2019). Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation. arXiv (Cornell University). 214 indexed citations

7.

Ding, Xiaowei, et al.. (2016). Fast Automated Liver Delineation from Computational Tomography Angiography. Procedia Computer Science. 90. 87–92. 4 indexed citations

8.

Ding, Xiaowei & Kaushik Roy. (2004). A novel bitstream level joint channel error concealment scheme for realtime video over wireless networks. 3. 2163–2173. 2 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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