Yuxiang Lu

783 total citations
45 papers, 366 citations indexed

About

Yuxiang Lu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Yuxiang Lu has authored 45 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 10 papers in Materials Chemistry. Recurrent topics in Yuxiang Lu's work include Domain Adaptation and Few-Shot Learning (7 papers), Advanced Neural Network Applications (5 papers) and Nanocluster Synthesis and Applications (4 papers). Yuxiang Lu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Advanced Neural Network Applications (5 papers) and Nanocluster Synthesis and Applications (4 papers). Yuxiang Lu collaborates with scholars based in China, United States and Jordan. Yuxiang Lu's co-authors include Zhiguo Wang, Jianguang Zhou, Yazhou Qin, Dongdong Yu, Hongtao Lu, Yue Ding, Zelin Wang, Shikun Feng, Yu Sun and Xuyi Chen and has published in prestigious journals such as Journal of Hazardous Materials, Chemical Communications and Environmental Pollution.

In The Last Decade

Yuxiang Lu

37 papers receiving 361 citations

Peers

Yuxiang Lu
Pei Ma China
Yuxiang Lu
Citations per year, relative to Yuxiang Lu Yuxiang Lu (= 1×) peers Pei Ma

Countries citing papers authored by Yuxiang Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yuxiang Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuxiang Lu

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

All Works

20 of 20 papers shown
1.
Ding, Yue, Xin Xin, Yuxiang Lu, et al.. (2025). Towards Personalized Federated Multi-Scenario Multi-Task Recommendation. 429–438. 1 indexed citations
2.
Lu, Ye, Yifan Wu, Lin Shi, & Yuxiang Lu. (2025). Elevated triglyceride-glucose index and acute kidney injury risk in critical atrial fibrillation: an analysis from MIMIC-IV. BMC Cardiovascular Disorders. 25(1). 698–698.
3.
Chen, Zhuxi, et al.. (2024). Impacts of different organophosphorus flame retardants on the transformation of phosphorus forms and microbial metabolic pathways in anaerobic reactors. Journal of Water Process Engineering. 65. 105868–105868. 1 indexed citations
6.
Lu, Yuxiang, et al.. (2024). TFUT: Task fusion upward transformer model for multi-task learning on dense prediction. Computer Vision and Image Understanding. 244. 104014–104014.
8.
Lu, Yuxiang, et al.. (2024). Adaptive Task-Wise Message Passing for Multi-Task Learning: A Spatial Interaction Perspective. IEEE Transactions on Circuits and Systems for Video Technology. 34(10). 9499–9514. 1 indexed citations
9.
Lu, Pingping, et al.. (2024). Aromatic acids affect the performances of constructed rapid infiltration systems based on red mud and coke: Removal efficiency, electron transport, and metabolism. Journal of environmental chemical engineering. 12(2). 112307–112307. 5 indexed citations
10.
Lin, Shuyu, et al.. (2024). Pollution Characteristics and Risk Assessment of Heavy Metals in Dujiangyan Irrigation District, China. International Journal of Environmental Research. 18(5). 1 indexed citations
12.
Lu, Yuxiang, et al.. (2024). Task Indicating Transformer for Task-Conditional Dense Predictions. 35. 3625–3629. 1 indexed citations
14.
Lu, Yuxiang, et al.. (2023). Scale-Aware Task Message Transferring for Multi-Task Learning. 31. 1859–1864. 6 indexed citations
16.
Yu, Dongdong, et al.. (2019). Aligner mediated cleavage of nucleic acids for site-specific detection of single base mismatch. Talanta. 201. 358–363. 6 indexed citations
17.
Fei, Jingyuan, Lixian Sun, Huajuan Ling, et al.. (2017). Tuning the Synthesis of Manganese Oxides Nanoparticles for Efficient Oxidation of Benzyl Alcohol. Nanoscale Research Letters. 12(1). 23–23. 20 indexed citations
18.
Ruan, Lin-Wei, et al.. (2014). First-Principles Calculations of Optical and Elastic Properties of Carbon-Doped <em>&alpha;</em>-S<sub>8</sub>. Acta Physico-Chimica Sinica. 30(5). 845–854. 2 indexed citations
19.
Wang, Zhiguo, et al.. (2010). MicroRNAs and atrial fibrillation: new fundamentals. Cardiovascular Research. 89(4). 710–721. 90 indexed citations
20.
Lu, Yuxiang, et al.. (2007). Theoretical Study on the Behavior of CO Chemisorption on Low-index Platinum Surfaces. Acta Physico-Chimica Sinica. 23(11). 1728–1732. 3 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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