Weijie Chen

3.4k total citations
75 papers, 1.9k citations indexed

About

Weijie Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Weijie Chen has authored 75 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 29 papers in Computer Vision and Pattern Recognition and 24 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Weijie Chen's work include Radiomics and Machine Learning in Medical Imaging (20 papers), AI in cancer detection (19 papers) and Domain Adaptation and Few-Shot Learning (18 papers). Weijie Chen is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (20 papers), AI in cancer detection (19 papers) and Domain Adaptation and Few-Shot Learning (18 papers). Weijie Chen collaborates with scholars based in United States, China and Germany. Weijie Chen's co-authors include Maryellen L. Giger, Ulrich Bick, Nicholas Petrick, Gillian M. Newstead, Brandon D. Gallas, Le Kang, Hui Li, Shiliang Pu, Lan Li and Berkman Sahiner and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Magnetic Resonance in Medicine.

In The Last Decade

Weijie Chen

67 papers receiving 1.9k citations

Peers

Weijie Chen

RNMI

CVPR

PRM

ONCOL

Ashirbani Saha Canada

Meyke Hermsen Netherlands

Cheng Chen China

Erika Denton United Kingdom

Mitko Veta Netherlands

Shandong Wu United States

Tao Tan China

Bohyoung Kim South Korea

Xiao Han China

Yi Gao China

Ashirbani Saha Canada

Weijie Chen

1.3k ×1.4

RNMI

890 ×1.1

506 ×1.0

CVPR

230 ×1.3

PRM

136 ×1.1

ONCOL

Citations per year, relative to Weijie Chen Weijie Chen (= 1×) peers Ashirbani Saha

Countries citing papers authored by Weijie Chen

Since Specialization

Citations

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

Fields of papers citing papers by Weijie Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijie Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Weijie Chen. A scholar is included among the top collaborators of Weijie Chen 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 Weijie Chen. Weijie Chen 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

García, Víctor, Amy Ly, Evangelos Hytopoulos, et al.. (2024). Reproducible Reporting of the Collection and Evaluation of Annotations for Artificial Intelligence Models. Modern Pathology. 37(4). 100439–100439. 6 indexed citations

Chen, Zhuo, Rongsheng Zhang, Xinfeng Zhang, et al.. (2024). Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-Modal Structured Representations. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2417–2425. 8 indexed citations

Lin, Luojun, et al.. (2024). Semi-supervised domain generalization with evolving intermediate domain. Pattern Recognition. 149. 110280–110280. 8 indexed citations

García, Víctor, et al.. (2024). Assessment of machine learning algorithms for TILs scoring using whole slide images: comparison with pathologists. 9. 41–41. 1 indexed citations

Liu, Ju, et al.. (2023). A nonlinear kernel SVM classifier via L0/1 soft-margin loss with classification performance. Journal of Computational and Applied Mathematics. 437. 115471–115471. 5 indexed citations

Sahiner, Berkman, Weijie Chen, Ravi K. Samala, & Nicholas Petrick. (2023). Data drift in medical machine learning: implications and potential remedies. British Journal of Radiology. 96(1150). 20220878–20220878. 77 indexed citations

Zhang, Lei, et al.. (2023). Randomized Spectrum Transformations for Adapting Object Detector in Unseen Domains. IEEE Transactions on Image Processing. 32. 4868–4879. 16 indexed citations

Chen, Weijie, et al.. (2023). Distilling Vision-Language Foundation Models: A Data-Free Approach via Prompt Diversification. 4928–4938.

Chen, Weijie, et al.. (2023). Better Together: Data-Free Multi-Student Coevolved Distillation. Knowledge-Based Systems. 283. 111146–111146. 3 indexed citations

10.

Chen, Weijie, et al.. (2023). Stochastic Gradient Perturbation: An Implicit Regularizer for Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology. 33(10). 5894–5907. 5 indexed citations

11.

Zhang, Rong, et al.. (2023). Review of deep learning-driven MRI brain tumor detection and segmentation methods. 7(8). 17–28. 3 indexed citations

12.

Zhang, Lei, et al.. (2022). Exploring Implicit Domain-Invariant Features for Domain Adaptive Object Detection. IEEE Transactions on Circuits and Systems for Video Technology. 33(4). 1816–1826. 36 indexed citations

13.

Guan, Shuyue, Ravi K. Samala, & Weijie Chen. (2022). Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors. 1–8. 1 indexed citations

14.

Wang, Yonghong, et al.. (2020). Three-dimensional deformation measurement based on digital speckle pattern interferometry. Journal of Applied Optics. 41(4). 681–689.

15.

Chen, Weijie, et al.. (2020). Application and Construction of Deep Learning Networks in Medical Imaging. IEEE Transactions on Radiation and Plasma Medical Sciences. 5(2). 137–159. 38 indexed citations

16.

Chen, Weijie, Zenan Xia, Wei Liu, Xiaodong He, & Weimin Zhang. (2018). Selective Vagotomy Worsens Glucose Control After Ileal Transposition. Obesity Surgery. 28(8). 2494–2499.

17.

Kang, Le, Weijie Chen, Nicholas Petrick, & Brandon D. Gallas. (2014). Comparing two correlated C indices with right‐censored survival outcome: a one‐shot nonparametric approach. Statistics in Medicine. 34(4). 685–703. 274 indexed citations

18.

Chen, Weijie, et al.. (2014). Bayesian Inference for Double Generalized Linear Regression Models of the Inverse Gaussian Distribution. International Journal of Applied Mathematics & Statistics. 52(4). 123–131.

19.

Chen, Weijie, Zhibo Yan, Shaozhuang Liu, et al.. (2011). The Changes of Pro-opiomelanocortin Neurons in Type 2 Diabetes Mellitus Rats After Ileal Transposition: The Role of POMC Neurons. Journal of Gastrointestinal Surgery. 15(9). 1618–1624. 10 indexed citations

20.

Chen, Weijie, Maryellen L. Giger, Lan Li, & Ulrich Bick. (2004). Computerized interpretation of breast MRI: Investigation of enhancement‐variance dynamics. Medical Physics. 31(5). 1076–1082. 155 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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