Xiao Kong

824 total citations
30 papers, 276 citations indexed

About

Xiao Kong is a scholar working on Astronomy and Astrophysics, Instrumentation and Computational Mechanics. According to data from OpenAlex, Xiao Kong has authored 30 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Astronomy and Astrophysics, 16 papers in Instrumentation and 7 papers in Computational Mechanics. Recurrent topics in Xiao Kong's work include Stellar, planetary, and galactic studies (19 papers), Astronomy and Astrophysical Research (16 papers) and Galaxies: Formation, Evolution, Phenomena (9 papers). Xiao Kong is often cited by papers focused on Stellar, planetary, and galactic studies (19 papers), Astronomy and Astrophysical Research (16 papers) and Galaxies: Formation, Evolution, Phenomena (9 papers). Xiao Kong collaborates with scholars based in China, United States and United Kingdom. Xiao Kong's co-authors include A-Li Luo, Xia Jiang, Bo Qiu, Yongheng Zhao, Bing Du, Yin-Bi Li, Haotong Zhang, Shiyin Shen, Wen Hou and Fang Zuo and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Expert Systems with Applications.

In The Last Decade

Xiao Kong

24 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiao Kong China 12 198 126 58 21 19 30 276
Bing Du China 11 226 1.1× 144 1.1× 58 1.0× 13 0.6× 43 299
Yuanyuan Su United States 13 324 1.6× 71 0.6× 18 0.3× 6 0.3× 3 0.2× 48 404
Miles T. Cote United States 9 273 1.4× 137 1.1× 14 0.2× 10 0.5× 16 291
M. López Spain 7 203 1.0× 84 0.7× 67 1.2× 20 1.0× 9 247
Aurélien Jarno France 4 290 1.5× 139 1.1× 17 0.3× 3 0.1× 23 332
I. Sevilla-Noarbe Spain 9 169 0.9× 56 0.4× 15 0.3× 9 0.4× 27 215
G. Riccio Italy 7 106 0.5× 39 0.3× 19 0.3× 9 0.4× 18 160
D. Tuccillo France 5 226 1.1× 122 1.0× 17 0.3× 7 0.3× 5 290
Martin Eriksen Spain 11 205 1.0× 83 0.7× 11 0.2× 4 0.2× 23 243

Countries citing papers authored by Xiao Kong

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Kong. A scholar is included among the top collaborators of Xiao Kong 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 Xiao Kong. Xiao Kong 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.
Zuo, X., Yang Huang, Chenzhou Cui, et al.. (2025). FALCO: Foundation Model of Astronomical Light Curves for Time Domain Astronomy. Implementation and Applications on Kepler Data. The Astronomical Journal. 171(1). 10–10.
2.
Huang, Yang, Jifeng Liu, Huawei Zhang, et al.. (2025). Systematic Search for Blue Hypervelocity Stars from LAMOST Survey. The Astrophysical Journal. 986(1). 22–22.
3.
Liu, Wei, et al.. (2025). Weak galaxy object detection using improved YOLOX model with feature map knowledge distillation. Expert Systems with Applications. 293. 128647–128647.
4.
Zuo, Fang, A-Li Luo, Bing Du, et al.. (2024). Projected Rotational Velocities for LAMOST Stars with Effective Temperatures Lower than 9000 K. The Astrophysical Journal Supplement Series. 271(1). 4–4. 3 indexed citations
5.
Liu, Siqi, A-Li Luo, Wei Zhang, et al.. (2023). Ionized-gas Metallicity of the Strong [O iii]λ5007 Emission-line Compact Galaxies in the LAMOST Survey. The Astrophysical Journal Supplement Series. 267(1). 16–16. 2 indexed citations
6.
Liu, Siqi, A-Li Luo, Wei Zhang, et al.. (2023). The H i Gas Fraction Scaling Relation of the Green Pea Galaxies. Research in Astronomy and Astrophysics. 23(6). 65006–65006. 1 indexed citations
7.
Yuan, Zhiyang, et al.. (2023). A Multimodal Transfer Learning Method for Classifying Images of Celestial Point Sources. Publications of the Astronomical Society of the Pacific. 135(1052). 104502–104502. 1 indexed citations
8.
Zou, Zhiqiang, et al.. (2023). A Galaxy Morphology Classification Model Based on Momentum Contrastive Learning. Publications of the Astronomical Society of the Pacific. 135(1052). 104501–104501. 2 indexed citations
9.
Cao, Zhi, et al.. (2023). L-dwarf Detection from SDSS Images using Improved Faster R-CNN. The Astronomical Journal. 165(4). 184–184. 7 indexed citations
10.
Qiu, Bo, A-Li Luo, Jianwei Zhou, et al.. (2023). Photometric redshift estimation of quasars with fused features from photometric data and images. Monthly Notices of the Royal Astronomical Society. 523(4). 5799–5811. 2 indexed citations
11.
Wang, You-Fen, A-Li Luo, Wen-Ping Chen, et al.. (2022). Ultracool dwarfs identified using spectra in LAMOST DR7. Astronomy and Astrophysics. 660. A38–A38. 11 indexed citations
12.
Zhao, Yan, Xiao Kong, Xiaoyin Yang, et al.. (2022). Effect of energy metabolism and proteolysis on the toughness of intermediate ultimate pH beef. Meat Science. 188. 108798–108798. 21 indexed citations
13.
Qiu, Bo, et al.. (2022). A photometry pipeline for SDSS images based on convolutional neural networks. Monthly Notices of the Royal Astronomical Society. 516(1). 264–278. 9 indexed citations
14.
Du, Bing, A-Li Luo, Shuo Zhang, et al.. (2021). LASPM: the LAMOST stellar parameter pipeline for M-type stars and application to the sixth and seventh data release (DR6 and DR7). Research in Astronomy and Astrophysics. 21(8). 202–202. 19 indexed citations
15.
Kong, Xiao & A-Li Luo. (2019). LAMOST DR5 Spectral Clustering for Stellar Templates Construction. ASPC. 523. 91. 1 indexed citations
16.
Luo, A-Li, et al.. (2019). Recognition of M-type stars in the unclassified spectra of LAMOST DR5 using a hash-learning method. Monthly Notices of the Royal Astronomical Society. 485(2). 2167–2178. 13 indexed citations
17.
Zuo, Fang, Bing Du, Yihan Song, et al.. (2018). LAMOST staller parameters pipeline for medium resolution spectra. 84–84. 2 indexed citations
18.
Luo, A-Li, Shiyin Shen, Shuai Feng, et al.. (2018). Double-peaked narrow emission-line galaxies in LAMOST survey. Monthly Notices of the Royal Astronomical Society. 482(2). 1889–1899. 20 indexed citations
19.
Wang, Lili, A-Li Luo, Shiyin Shen, et al.. (2017). Spectral classification and composites of galaxies in LAMOST DR4. Monthly Notices of the Royal Astronomical Society. 474(2). 1873–1885. 28 indexed citations
20.
Luo, A-Li, Yin-Bi Li, Liangping Tu, et al.. (2013). Mining unusual and rare stellar spectra from large spectroscopic survey data sets using the outlier-detection method. Monthly Notices of the Royal Astronomical Society. 431(2). 1800–1811. 17 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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2026