Ruijia Xu

737 total citations
9 papers, 353 citations indexed

About

Ruijia Xu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ruijia Xu has authored 9 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ruijia Xu's work include Multimodal Machine Learning Applications (4 papers), Topic Modeling (2 papers) and COVID-19 diagnosis using AI (2 papers). Ruijia Xu is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Topic Modeling (2 papers) and COVID-19 diagnosis using AI (2 papers). Ruijia Xu collaborates with scholars based in China, Hong Kong and Australia. Ruijia Xu's co-authors include Liang Lin, Junjie Yan, Ziliang Chen, Wangmeng Zuo, Shizhe Diao, Tong Zhang, Botao Ye, Qing Lian, Tong Zhang and Yan Song and has published in prestigious journals such as Ecotoxicology and Environmental Safety, Talanta and Chem Catalysis.

In The Last Decade

Ruijia Xu

9 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruijia Xu China	7	228	177	28	25	23	9	353
Huaidong Zhang China	12	158 0.7×	244 1.4×	32 1.1×	7 0.3×	18 0.8×	38	388
Pedro Ribeiro Mendes Júnior Brazil	9	178 0.8×	102 0.6×	32 1.1×	6 0.2×	35 1.5×	18	354
Ruipeng Zhang China	9	289 1.3×	265 1.5×	16 0.6×	23 0.9×	55 2.4×	12	483
Yikai Wang China	10	196 0.9×	123 0.7×	10 0.4×	11 0.4×	56 2.4×	26	359
Yuxuan Luo China	4	140 0.6×	82 0.5×	32 1.1×	5 0.2×	31 1.3×	12	260
Shichao Kan China	10	84 0.4×	174 1.0×	14 0.5×	10 0.4×	7 0.3×	46	318
Mingkai Zheng China	5	121 0.5×	105 0.6×	22 0.8×	4 0.2×	16 0.7×	10	275
Xiangru Lin China	9	197 0.9×	356 2.0×	13 0.5×	6 0.2×	26 1.1×	15	456
Tong Che Algeria	7	199 0.9×	140 0.8×	12 0.4×	13 0.5×	42 1.8×	9	268
ShahRukh Athar United States	8	118 0.5×	239 1.4×	30 1.1×	6 0.2×	25 1.1×	17	413

Countries citing papers authored by Ruijia Xu

Since Specialization

Citations

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

Fields of papers citing papers by Ruijia Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruijia Xu

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

Liu, Zuoqing, Min Tao, Ming Xiao, et al.. (2025). Direct ammonia protonic ceramic fuel cells through heterogeneous interface engineering. Chem Catalysis. 5(7). 101365–101365. 3 indexed citations

2.

Diao, Shizhe, Tianyang Xu, Ruijia Xu, Jiawei Wang, & Tong Zhang. (2023). Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models’ Memories. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5113–5129. 7 indexed citations

3.

Guo, Zhenzhong, et al.. (2023). An ultra-sensitive electrochemical biosensor for the detection of procalcitonin in sepsis patients’ serum, using a Cu-BHT-based thin film. Talanta. 268(Pt 1). 125325–125325. 12 indexed citations

4.

Lian, Qing, et al.. (2022). Exploring Geometric Consistency for Monocular 3D Object Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 1675–1684. 22 indexed citations

5.

Liu, Xudong, Yuchao Zhang, Ruijia Xu, et al.. (2022). Ambient ozone, and urban PM2.5 co-exposure, aggravate allergic asthma via transient receptor potential vanilloid 1-mediated neurogenic inflammation. Ecotoxicology and Environmental Safety. 243. 114000–114000. 14 indexed citations

6.

Xu, Ruijia, et al.. (2022). Coal rock image recognition method based on improved CLBP and receptive field theory. 1(2). 165–173. 11 indexed citations

7.

Diao, Shizhe, et al.. (2021). Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3336–3349. 19 indexed citations

8.

Xu, Ruijia, Ziliang Chen, Wangmeng Zuo, Junjie Yan, & Liang Lin. (2018). Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift. 3964–3973. 261 indexed citations

9.

Xu, Ruijia, Guanbin Li, Jihan Yang, & Liang Lin. (2018). Unsupervised Domain Adaptation: An Adaptive Feature Norm Approach.. 4 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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