Chen Wei

1.4k total citations · 1 hit paper
36 papers, 772 citations indexed

About

Chen Wei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chen Wei has authored 36 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chen Wei's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Neural Network Applications (4 papers) and Natural Language Processing Techniques (3 papers). Chen Wei is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Neural Network Applications (4 papers) and Natural Language Processing Techniques (3 papers). Chen Wei collaborates with scholars based in China, United States and India. Chen Wei's co-authors include Alan Yuille, Christoph Feichtenhofer, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Clayton Mellina, Kihyuk Sohn, Fan Yang, Jimin Liang and Yiping Tang and has published in prestigious journals such as Sensors, Frontiers in Plant Science and Pattern Recognition.

In The Last Decade

Chen Wei

29 papers receiving 745 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.

Masked Feature Prediction for Self-Supervised Visual Pre-Training

2022 324 citations Chen Wei, Alan Yuille et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chen Wei China	10	438	414	78	66	54	36	772
Donggyu Joo South Korea	7	757 1.7×	641 1.5×	56 0.7×	83 1.3×	57 1.1×	11	1.2k
Shaoning Zeng China	14	401 0.9×	329 0.8×	46 0.6×	123 1.9×	66 1.2×	56	793
Byeongho Heo South Korea	13	809 1.8×	678 1.6×	70 0.9×	61 0.9×	73 1.4×	26	1.2k
Taotao Lai China	14	393 0.9×	245 0.6×	68 0.9×	63 1.0×	22 0.4×	46	697
Khalid Amin Egypt	14	378 0.9×	224 0.5×	125 1.6×	67 1.0×	26 0.5×	53	645
Qiu Chen Japan	16	436 1.0×	316 0.8×	55 0.7×	81 1.2×	27 0.5×	97	821
Qi Qian China	15	644 1.5×	508 1.2×	40 0.5×	59 0.9×	46 0.9×	35	983
Yaoyao Liu Germany	5	474 1.1×	683 1.6×	123 1.6×	71 1.1×	39 0.7×	6	923
Zi-Rui Wang China	11	294 0.7×	374 0.9×	49 0.6×	73 1.1×	71 1.3×	23	661

Countries citing papers authored by Chen Wei

Since Specialization

Citations

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

Fields of papers citing papers by Chen Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Wei

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

20 of 20 papers shown

1.

Tang, H., et al.. (2025). LA-ResUNet: Attention-based network for longitudinal liver tumor segmentation from CT images. Computerized Medical Imaging and Graphics. 123. 102536–102536. 3 indexed citations

2.

Wei, Yuqin, et al.. (2025). Lightweight crack detection in complex environments via model pruning and knowledge distillation. Automation in Construction. 178. 106392–106392.

3.

Liu, Runtao, et al.. (2025). VideoDPO: Omni-Preference Alignment for Video Diffusion Generation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 8009–8019.

4.

Wei, Chen, Yujie Zhang, Weili Wu, Hui Yang, & Wenxiu Huang. (2024). Machine learning-based predictive model for abdominal diseases using physical examination datasets. Computers in Biology and Medicine. 173. 108249–108249. 4 indexed citations

5.

Wei, Chen, et al.. (2024). Cloud-Edge Collaborative Computing for Consumer Electronics via Deep Reinforcement Learning. IEEE Transactions on Consumer Electronics. 71(2). 4120–4129. 3 indexed citations

6.

Chen, Qi, Xiaoxi Chen, Zhiwei Xiong, et al.. (2024). Towards Generalizable Tumor Synthesis. 11147–11158. 10 indexed citations

7.

Wang, Yanlin, et al.. (2024). Effects of geographical, soil and climatic factors on the two marker secondary metabolites contents in the roots of Rubia cordifolia L.. Frontiers in Plant Science. 15. 1419392–1419392. 5 indexed citations

8.

Wei, Chen, et al.. (2024). Improving automatic segmentation of liver tumor images using a deep learning model. Heliyon. 10(7). e28538–e28538. 6 indexed citations

9.

Wei, Chen, et al.. (2023). High-Resolution Swin Transformer for Automatic Medical Image Segmentation. Sensors. 23(7). 3420–3420. 42 indexed citations

10.

Wang, Yanlin, et al.. (2023). Changes in marker secondary metabolites revealed the medicinal parts, harvest time, and possible synthetic sites of Rubia cordifolia L.. Plant Physiology and Biochemistry. 203. 108024–108024. 3 indexed citations

11.

Liang, Yuxuan, et al.. (2022). Phase function estimation from a diffuse optical image via deep learning. Physics in Medicine and Biology. 67(7). 74001–74001.

12.

Tang, Yiping, et al.. (2022). Poleward-Motion Aware Network for Poleward Moving Auroral Forms Recognition. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 1 indexed citations

13.

Wei, Chen, Kihyuk Sohn, Clayton Mellina, Alan Yuille, & Fan Yang. (2021). CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning. 10852–10861. 176 indexed citations

14.

Wei, Chen, et al.. (2021). Hierarchical quantization for billion-scale similarity retrieval on GPUs. Computers & Electrical Engineering. 90. 107002–107002. 2 indexed citations

15.

Wei, Chen, Qiuli Wang, Sheng Huang, et al.. (2021). DFDM: A Deep Feature Decoupling Module for Lung Nodule Segmentation. 1120–1124. 6 indexed citations

16.

Lin, Xinyi, et al.. (2019). BoFGAN: Towards A New Structure of Backward-or-Forward Generative Adversarial Nets. 2652–2658. 1 indexed citations

17.

Wei, Chen. (2012). Indefinite OCSVM method for object detection in hyperspectral imagery. National Remote Sensing Bulletin.

18.

Wei, Chen, Kaiqi Huang, Tieniu Tan, & Dacheng Tao. (2009). A convergent solution to two dimensional linear discriminant analysis. 27. 4133–4136. 1 indexed citations

19.

Wei, Chen. (2008). Improvement and application to weighting terms based on text classification. Computer Engineering and Applications Journal. 6 indexed citations

20.

Wei, Chen. (2001). Implementation Method and Its Comparison of General DLL.

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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