Jiashu Xu

418 total citations
13 papers, 232 citations indexed

About

Jiashu Xu is a scholar working on Artificial Intelligence, Ocean Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jiashu Xu has authored 13 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Ocean Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jiashu Xu's work include Domain Adaptation and Few-Shot Learning (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Geophysical and Geoelectrical Methods (2 papers). Jiashu Xu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Geophysical and Geoelectrical Methods (2 papers). Jiashu Xu collaborates with scholars based in Ukraine, China and United States. Jiashu Xu's co-authors include Guangxing Wang, Zhuokun Pan, Yueming Hu, Muhao Chen, Cai Liu, Guoqing Ma, Fei Wang, Chaowei Xiao, Mingyu Ma and Qin Liu and has published in prestigious journals such as IEEE Access, Remote Sensing and Journal of Applied Geophysics.

In The Last Decade

Jiashu Xu

11 papers receiving 223 citations

Peers

Jiashu Xu

MT

CVPR

OE

AI

AS

Ritwik Gupta United States

Changmiao Hu China

Xiao Xiang Zhu Germany

Eric Heim Germany

Jihui Tu China

Shuhei Hikosaka Japan

Vladimir Khryashchev Russia

Xiaomei Yang China

Hamed Amini Amirkolaee Iran

Quanhua Zhao China

Ritwik Gupta United States

Jiashu Xu

121 ×1.7

MT

81 ×1.4

CVPR

36 ×0.8

OE

61 ×1.3

AI

48 ×1.1

AS

Citations per year, relative to Jiashu Xu Jiashu Xu (= 1×) peers Ritwik Gupta

Countries citing papers authored by Jiashu Xu

Since Specialization

Citations

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

Fields of papers citing papers by Jiashu Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiashu Xu

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

All Works

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13 of 13 papers shown

1.

Liu, Qin, et al.. (2024). Securing Multi-turn Conversational Language Models From Distributed Backdoor Attacks. 12833–12846. 1 indexed citations

2.

Xu, Jiashu, Mingyu Ma, Fei Wang, Chaowei Xiao, & Muhao Chen. (2024). Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models. 3111–3126. 15 indexed citations

3.

Liu, Qin, et al.. (2024). Mitigating Backdoor Threats to Large Language Models: Advancement and Challenges. 1–8. 2 indexed citations

4.

Xu, Jiashu, et al.. (2023). Denoising Self-Distillation Masked Autoencoder for Self-Supervised Learning. International Journal of Image Graphics and Signal Processing. 15(5). 29–38. 1 indexed citations

5.

Xu, Jiashu, et al.. (2023). Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction?. 2450–2467. 5 indexed citations

6.

Xu, Jiashu, et al.. (2023). Mixup Feature: A Pretext Task Self-Supervised Learning Method for Enhanced Visual Feature Learning. IEEE Access. 11. 82400–82409. 1 indexed citations

7.

Xu, Jiashu, et al.. (2022). Self-supervised Model Based on Masked Autoencoders Advance CT Scans Classification. International Journal of Image Graphics and Signal Processing. 14(5). 1–9. 2 indexed citations

8.

Xu, Jiashu. (2021). A Review of Self-supervised Learning Methods in the Field of Medical Image Analysis. International Journal of Image Graphics and Signal Processing. 13(4). 33–46. 30 indexed citations

9.

Pan, Zhuokun, et al.. (2020). Deep Learning Segmentation and Classification for Urban Village Using a Worldview Satellite Image Based on U-Net. Remote Sensing. 12(10). 1574–1574. 157 indexed citations

10.

Ma, Guoqing, et al.. (2017). Correlation imaging method based on local wavenumber for interpreting magnetic data. Journal of Applied Geophysics. 138. 17–22. 16 indexed citations

11.

Xu, Jiashu. (2012). Q Value of Coda Wave in Shanxi Region Based on Aki Model. 1 indexed citations

12.

Xu, Jiashu. (2012). A Dynamic Web Page Modeling Method Based on UML. 6. 324–327.

13.

Xu, Jiashu. (2007). Study on the Features of Magnetic Field and the Sedimentary Structure in Mohe Basin. Journal of Jilin University. 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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