Caiwen Jiang

449 total citations · 1 hit paper
9 papers, 215 citations indexed

About

Caiwen Jiang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Caiwen Jiang has authored 9 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Biomedical Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Caiwen Jiang's work include Medical Imaging Techniques and Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced X-ray and CT Imaging (3 papers). Caiwen Jiang is often cited by papers focused on Medical Imaging Techniques and Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced X-ray and CT Imaging (3 papers). Caiwen Jiang collaborates with scholars based in China, United States and United Kingdom. Caiwen Jiang's co-authors include Dinggang Shen, Zhiming Cui, Bo Yu, Lei Ma, Yuhang Sun, Lanzhuju Mei, Yang Liu, Yue Zhao, Chunfeng Lian and Jiameng Liu and has published in prestigious journals such as Nature Communications, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Caiwen Jiang

7 papers receiving 213 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.

A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images

2022 173 citations Zhiming Cui, Lanzhuju Mei et al. Nature Communications profile →

Peers

Caiwen Jiang

OS

BE

RNMI

AI

CVPR

Lanzhuju Mei China

Jérôme Michetti France

Aruna Ramesh United States

Shihao Li China

Jaakko Sahlsten Finland

Nermin Morgan Egypt

Kazumasa Yoshii Japan

А. С. Краснов Russia

Mohadeseh Nadimi Iran

Lyudmila Tuzova United States

Lanzhuju Mei China

Caiwen Jiang

153 ×1.0

OS

81 ×0.8

BE

79 ×0.8

RNMI

60 ×1.9

AI

19 ×0.7

CVPR

Citations per year, relative to Caiwen Jiang Caiwen Jiang (= 1×) peers Lanzhuju Mei

Countries citing papers authored by Caiwen Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Caiwen Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caiwen Jiang

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

9 of 9 papers shown

1.

Jiang, Caiwen, Nan Yang, Yingying Fang, et al.. (2025). A lung structure and function information-guided residual diffusion model for predicting idiopathic pulmonary fibrosis progression. Medical Image Analysis. 103. 103604–103604.

2.

Wang, Tianyu, Caiwen Jiang, Weili Ding, et al.. (2025). Deep‐Learning Generated Synthetic Material Decomposition Images Based on Single‐Energy CT to Differentiate Intracranial Hemorrhage and Contrast Staining Within 24 Hours After Endovascular Thrombectomy. CNS Neuroscience & Therapeutics. 31(1). e70235–e70235.

3.

Jiang, Caiwen, Tianyu Wang, Yongsheng Pan, Zhongxiang Ding, & Dinggang Shen. (2024). Real-time diagnosis of intracerebral hemorrhage by generating dual-energy CT from single-energy CT. Medical Image Analysis. 95. 103194–103194. 2 indexed citations

4.

Jiang, Caiwen, Yongsheng Pan, Zhiming Cui, Dong Nie, & Dinggang Shen. (2023). Semi-Supervised Standard-Dose PET Image Generation via Region-Adaptive Normalization and Structural Consistency Constraint. IEEE Transactions on Medical Imaging. 42(10). 2974–2987. 14 indexed citations

5.

Jiang, Caiwen, Yongsheng Pan, & Dinggang Shen. (2023). TriDoRNet: Reconstruction of Standard-Dose Pet from Low-Dose Pet in Triple (Projection, Image, and Frequency) Domains. 1–5. 2 indexed citations

6.

Zhang, Jiadong, et al.. (2023). Hierarchical Organ-Aware Total-Body Standard-Dose PET Reconstruction From Low-Dose PET and CT Images. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 13258–13270. 18 indexed citations

7.

Cui, Zhiming, Lanzhuju Mei, Bojun Zhang, et al.. (2022). A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images. Nature Communications. 13(1). 2096–2096. 173 indexed citations breakdown →

8.

Jiang, Caiwen, Yongsheng Pan, Zhiming Cui, & Dinggang Shen. (2022). Reconstruction of Standard-Dose Pet From Low-Dose Pet Via Dual-Frequency Supervision and Global Aggregation Module. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 1–5. 5 indexed citations

9.

Zhang, Siyuan, et al.. (2020). 2D CNN-Based Slices-to-Volume Superresolution Reconstruction. IEEE Access. 8. 86357–86366. 1 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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