Shenjun Zhong

500 total citations
16 papers, 187 citations indexed

About

Shenjun Zhong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shenjun Zhong has authored 16 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shenjun Zhong's work include Multimodal Machine Learning Applications (8 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Shenjun Zhong is often cited by papers focused on Multimodal Machine Learning Applications (8 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Shenjun Zhong collaborates with scholars based in Australia, China and Germany. Shenjun Zhong's co-authors include Gary F. Egan, Zhaolin Chen, Kamlesh Pawar, Pengfei Li, Gang Liu, Alexandra Carey, Phillip G. D. Ward, Richard McIntyre, Sharna D. Jamadar and Markus Barth and has published in prestigious journals such as Scientific Reports, Remote Sensing and Scientific Data.

In The Last Decade

Shenjun Zhong

13 papers receiving 183 citations

Peers

Shenjun Zhong

RNMI

CVPR

Carlos Tor-Díez France

Skylar E. Stolte United States

Yılmaz Korkmaz Türkiye

Hanpei Miao China

Lianrui Zuo United States

Ho Hin Lee United States

Barbara Villarini United Kingdom

Sourya Sengupta Canada

Xuechen Li China

Carlos Tor-Díez France

Shenjun Zhong

103 ×1.3

RNMI

127 ×1.8

CVPR

32 ×0.7

29 ×1.4

28 ×1.5

Citations per year, relative to Shenjun Zhong Shenjun Zhong (= 1×) peers Carlos Tor-Díez

Countries citing papers authored by Shenjun Zhong

Since Specialization

Citations

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

Fields of papers citing papers by Shenjun Zhong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenjun Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Shenjun Zhong. A scholar is included among the top collaborators of Shenjun Zhong 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 Shenjun Zhong. Shenjun Zhong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Islam, Kh Tohidul, Shenjun Zhong, Helen Kavnoudias, et al.. (2025). AI improves consistency in regional brain volumes measured in ultra-low-field MRI and 3T MRI. PubMed. 4. 1588487–1588487. 1 indexed citations

Li, Pengfei, et al.. (2025). Parameter-Efficient Fine-Tuning Medical Multimodal Large Language Models for Medical Visual Grounding. 1–5. 1 indexed citations

Li, Pengfei, et al.. (2024). RSMoDM: Multimodal Momentum Distillation Model for Remote Sensing Visual Question Answering. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 16799–16814. 3 indexed citations

Liu, Gang, et al.. (2024). Cross-Modal self-supervised vision language pre-training with multiple objectives for medical visual question answering. Journal of Biomedical Informatics. 160. 104748–104748. 1 indexed citations

Liu, Gang, et al.. (2024). PERS: Parameter-Efficient Multimodal Transfer Learning for Remote Sensing Visual Question Answering. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 14823–14835. 1 indexed citations

Li, Pengfei, et al.. (2024). PECR:Parameter-Efficient Transfer Learning with Cross-Modal Representation Learning for Remote Sensing Visual Question Answering. 6740–6744.

Liu, Gang, et al.. (2024). Enhancing Generalization in Medical Visual Question Answering Tasks Via Gradient-Guided Model Perturbation. 2220–2224.

Zhong, Shenjun, et al.. (2023). A comprehensive solution to retrieval-based chatbot construction. Computer Speech & Language. 83. 101522–101522. 8 indexed citations

Liu, Gang, et al.. (2023). Unified Transformer with Cross-Modal Mixture Experts for Remote-Sensing Visual Question Answering. Remote Sensing. 15(19). 4682–4682. 6 indexed citations

10.

Islam, Kh Tohidul, Shenjun Zhong, Zhifeng Chen, et al.. (2023). Improving portable low-field MRI image quality through image-to-image translation using paired low- and high-field images. Scientific Reports. 13(1). 21183–21183. 18 indexed citations

11.

Li, Pengfei, et al.. (2023). Self-Supervised Vision-Language Pretraining for Medial Visual Question Answering. 1–5. 31 indexed citations

12.

Jamadar, Sharna D., Shenjun Zhong, Phillip G. D. Ward, et al.. (2022). Monash DaCRA fPET-fMRI: A dataset for comparison of radiotracer administration for high temporal resolution functional FDG-PET. GigaScience. 11. 13 indexed citations

13.

Zhong, Shenjun, Zhaolin Chen, & Gary F. Egan. (2022). Auto-encoded Latent Representations of White Matter Streamlines for Quantitative Distance Analysis. Neuroinformatics. 20(4). 1105–1120. 3 indexed citations

14.

Chen, Zhaolin, et al.. (2022). Deep Learning for Image Enhancement and Correction in Magnetic Resonance Imaging—State-of-the-Art and Challenges. Journal of Digital Imaging. 36(1). 204–230. 98 indexed citations

15.

Jamadar, Sharna D., Shenjun Zhong, Alexandra Carey, et al.. (2021). Task-evoked simultaneous FDG-PET and fMRI data for measurement of neural metabolism in the human visual cortex. Scientific Data. 8(1). 267–267. 2 indexed citations

16.

Jamadar, Sharna D., Shenjun Zhong, Phillip G. D. Ward, et al.. (2021). Monash vis-fPET-fMRI. 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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