Xiangru Li

1.1k total citations
67 papers, 737 citations indexed

About

Xiangru Li is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiangru Li has authored 67 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Astronomy and Astrophysics, 15 papers in Artificial Intelligence and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiangru Li's work include Stellar, planetary, and galactic studies (16 papers), Astronomical Observations and Instrumentation (11 papers) and Astronomy and Astrophysical Research (10 papers). Xiangru Li is often cited by papers focused on Stellar, planetary, and galactic studies (16 papers), Astronomical Observations and Instrumentation (11 papers) and Astronomy and Astrophysical Research (10 papers). Xiangru Li collaborates with scholars based in China, United States and Malaysia. Xiangru Li's co-authors include Zhanyi Hu, Fuchao Wu, A-Li Luo, Zhao Jin, Xi-Long Fan, Yongheng Zhao, Rui Wang, Yajuan Zhu, Jian-Jun Chen and Kaicheng Zhu and has published in prestigious journals such as The Astrophysical Journal, Scientific Reports and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Xiangru Li

56 papers receiving 696 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangru Li China 16 224 205 162 116 97 67 737
Ajit Kembhavi India 19 197 0.9× 836 4.1× 42 0.3× 56 0.5× 241 2.5× 79 1.2k
Lewis Smith United Kingdom 8 82 0.4× 118 0.6× 30 0.2× 107 0.9× 50 0.5× 13 437
Jason D. Eastman United States 19 255 1.1× 1.4k 6.8× 186 1.1× 40 0.3× 512 5.3× 76 2.0k
Friedrich O. Huck United States 17 256 1.1× 219 1.1× 166 1.0× 26 0.2× 16 0.2× 65 715
Eric P. Smith United States 16 131 0.6× 639 3.1× 18 0.1× 100 0.9× 164 1.7× 45 1.1k
Jiansheng Chen China 16 54 0.2× 596 2.9× 40 0.2× 37 0.3× 194 2.0× 78 850
Z. Kolláth Hungary 22 41 0.2× 825 4.0× 89 0.5× 25 0.2× 244 2.5× 79 1.5k
P. Martinez France 11 168 0.8× 214 1.0× 46 0.3× 111 1.0× 112 1.2× 43 1.1k
Michael J. Foster United States 17 150 0.7× 98 0.5× 59 0.4× 166 1.4× 5 0.1× 73 1.8k

Countries citing papers authored by Xiangru Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiangru Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangru Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangru Li. A scholar is included among the top collaborators of Xiangru Li 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 Xiangru Li. Xiangru Li 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.
Xiong, Shengchun, et al.. (2025). RepSNet: A Nucleus Instance Segmentation Model Based on Boundary Regression and Structural Re-Parameterization. International Journal of Computer Vision. 133(6). 3222–3241.
2.
Li, Xiangru, et al.. (2025). A Catalog of 12,766 Carbon-enhanced Metal-poor Stars from LAMOST Data Release 8. The Astrophysical Journal Supplement Series. 277(1). 30–30. 1 indexed citations
3.
Lu, Junhao, Jinqiang Quan, Jing Zhou, et al.. (2024). Combined transcriptomics and metabolomics to reveal the effects of copper exposure on the liver of rainbow trout(Oncorhynchus mykiss). Ecotoxicology and Environmental Safety. 284. 116996–116996. 7 indexed citations
4.
Chen, Hao, et al.. (2024). The joint learning of multi-resolution feature for multi-class retinal vessel segmentation. Neurocomputing. 584. 127570–127570. 4 indexed citations
5.
6.
Cao, Liang, Peng Jia, Nan Li, et al.. (2024). A versatile framework for analyzing galaxy image data by incorporating Human-in-the-loop in a large vision model*. Chinese Physics C. 48(9). 95001–95001. 1 indexed citations
7.
Tu, Liangping, et al.. (2024). AstroSR: A Data Set of Galaxy Images for Astronomical Superresolution Research. The Astrophysical Journal Supplement Series. 274(1). 7–7. 3 indexed citations
8.
Jiang, Jie, Qiufan Lin, Yufei Wang, et al.. (2024). Deep learning for cosmological parameter inference from a dark matter halo density field. Physical review. D. 110(6). 2 indexed citations
9.
Li, Li, Xiangru Li, Yun Liu, et al.. (2024). Comparative analysis of the complete mitogenomes of Camellia sinensis var. sinensis and C. sinensis var. assamica provide insights into evolution and phylogeny relationship. Frontiers in Plant Science. 15. 1396389–1396389. 4 indexed citations
10.
Li, Li, Xiangru Li, Fei Liu, et al.. (2023). Preliminary Investigation of Essentially Derived Variety of Tea Tree and Development of SNP Markers. Plants. 12(8). 1643–1643. 4 indexed citations
11.
Li, Xiangru, et al.. (2023). Dealing with the Data Imbalance Problem in Pulsar Candidate Sifting Based on Feature Selection. Research in Astronomy and Astrophysics. 24(2). 25010–25010. 1 indexed citations
12.
Jiang, Jie, et al.. (2023). Galaxy Morphology Classification Using a Semi-supervised Learning Algorithm Based on Dynamic Threshold. Research in Astronomy and Astrophysics. 23(11). 115019–115019. 5 indexed citations
13.
Li, Xiangru, et al.. (2023). Estimating stellar parameters from LAMOST low-resolution spectra. Monthly Notices of the Royal Astronomical Society. 521(4). 6354–6367. 11 indexed citations
14.
Li, Xiangru, et al.. (2022). Estimation of Stellar Atmospheric Parameters from LAMOST DR8 Low-resolution Spectra with 20 ≤ S/N < 30. Research in Astronomy and Astrophysics. 22(6). 65018–65018. 5 indexed citations
15.
Zhang, Jinqu, et al.. (2022). A Lightweight Deep Learning Framework for Galaxy Morphology Classification. Research in Astronomy and Astrophysics. 22(11). 115011–115011. 6 indexed citations
16.
Wang, Rui, A-Li Luo, Jian-Jun Chen, et al.. (2020). SPCANet: Stellar Parameters and Chemical Abundances Network for LAMOST-II Medium Resolution Survey. The Astrophysical Journal. 891(1). 23–23. 54 indexed citations
17.
Li, Xiangru, Zhenhua Hao, Xiaorong Liu, & Wei Li. (2020). Deficiency of Mouse FHR-1 Homolog, FHR-E, Accelerates Sepsis, and Acute Kidney Injury Through Enhancing the LPS-Induced Alternative Complement Pathway. Frontiers in Immunology. 11. 1123–1123. 16 indexed citations
18.
Jin, Zhao, Xiangru Li, Yunqiang Wang, et al.. (2016). Comparing watershed black locust afforestation and natural revegetation impacts on soil nitrogen on the Loess Plateau of China. Scientific Reports. 6(1). 25048–25048. 25 indexed citations
19.
Jin, Zhao, Yajuan Zhu, Xiangru Li, Yunshe Dong, & Zhisheng An. (2015). Soil N retention and nitrate leaching in three types of dunes in the Mu Us desert of China. Scientific Reports. 5(1). 14222–14222. 34 indexed citations
20.
Li, Xiangru. (2012). Feature Extracting Methods in Spectrum Data Mining. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ajit Kembhavi Breakdown of academic impact, for papers by Lewis Smith Breakdown of academic impact, for papers by Jason D. Eastman Breakdown of academic impact, for papers by Friedrich O. Huck Breakdown of academic impact, for papers by Eric P. Smith Breakdown of academic impact, for papers by Jiansheng Chen Breakdown of academic impact, for papers by Z. Kolláth Breakdown of academic impact, for papers by P. Martinez Breakdown of academic impact, for papers by Michael J. Foster
Rankless by CCL
2026