Xu Kong

6.9k total citations · 2 hit papers
135 papers, 2.6k citations indexed

About

Xu Kong is a scholar working on Astronomy and Astrophysics, Instrumentation and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Xu Kong has authored 135 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Astronomy and Astrophysics, 67 papers in Instrumentation and 9 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Xu Kong's work include Galaxies: Formation, Evolution, Phenomena (92 papers), Astronomy and Astrophysical Research (67 papers) and Stellar, planetary, and galactic studies (56 papers). Xu Kong is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (92 papers), Astronomy and Astrophysical Research (67 papers) and Stellar, planetary, and galactic studies (56 papers). Xu Kong collaborates with scholars based in China, United States and Germany. Xu Kong's co-authors include Yang Chen, A. Bressan, L. Girardi, Paola Marigo, A. F. Lanza, M. Barbieri, S. Charlot, F. Z. Cheng, S. Michael Fall and J. Brinchmann and has published in prestigious journals such as Nature, The Astrophysical Journal and ACS Applied Materials & Interfaces.

In The Last Decade

Xu Kong

112 papers receiving 2.4k citations

Hit Papers

parsec evolutionary tracks of massive stars up to 350 M⊙a... 2014 2026 2018 2022 2015 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xu Kong China 21 2.3k 1.1k 173 110 82 135 2.6k
Nicholas P. Ross United States 37 3.8k 1.7× 1.3k 1.1× 940 5.4× 130 1.2× 116 1.4× 66 4.0k
Jun Ma China 22 1.5k 0.7× 566 0.5× 260 1.5× 33 0.3× 103 1.3× 169 1.8k
R. Claudi Italy 19 2.1k 0.9× 987 0.9× 207 1.2× 34 0.3× 132 1.6× 92 2.2k
Anil C. Seth United States 39 3.8k 1.7× 1.8k 1.6× 249 1.4× 55 0.5× 182 2.2× 142 4.2k
B. McLean United States 18 1.3k 0.6× 470 0.4× 274 1.6× 43 0.4× 66 0.8× 82 1.5k
L. Silva Italy 30 4.3k 1.9× 2.1k 1.8× 482 2.8× 117 1.1× 104 1.3× 77 4.6k
Jinyi Yang United States 24 2.5k 1.1× 710 0.6× 618 3.6× 25 0.2× 86 1.0× 98 2.8k
Seán Moran United States 24 2.0k 0.9× 1.1k 1.0× 180 1.0× 72 0.7× 159 1.9× 52 2.2k
C. Jordi Spain 31 3.4k 1.5× 1.9k 1.7× 98 0.6× 31 0.3× 80 1.0× 112 3.6k
H. Lin United States 25 1.9k 0.8× 996 0.9× 274 1.6× 181 1.6× 110 1.3× 56 2.0k

Countries citing papers authored by Xu Kong

Since Specialization
Citations

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

Fields of papers citing papers by Xu Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xu Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Xu Kong. A scholar is included among the top collaborators of Xu 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 Xu Kong. Xu 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.
Pan, Lei, et al.. (2025). Endothelial LRRC8A delays vascular ageing in natural and accelerated ageing mouse models. Cardiovascular Research. 121(16). 2549–2564.
2.
Lyu, Wanlin, et al.. (2025). Dependence of Metal Enrichment of Nuclear Star Clusters on Galaxy Stellar Mass. The Astrophysical Journal. 979(1). 85–85.
3.
Zhang, Shiliang, Guanwen Fang, Jie Song, et al.. (2024). Preparation for CSST: Star-galaxy Classification using a Rotationally Invariant Supervised Machine Learning Method. Research in Astronomy and Astrophysics. 24(9). 95012–95012. 2 indexed citations
5.
Wang, Enci, Ming Zhu, Yingjie Peng, et al.. (2024). Exploring the Origin of Cold Gas and Star Formation in a Rare Population of Strongly Bulge-dominated Early-type Galaxies. The Astrophysical Journal. 974(2). 238–238. 2 indexed citations
6.
Song, Jie, Guanwen Fang, Zesen Lin, et al.. (2024). USmorph: An Updated Framework of Automatic Classification of Galaxy Morphologies and Its Application to Galaxies in the COSMOS Field. The Astrophysical Journal Supplement Series. 272(2). 42–42. 4 indexed citations
7.
Wang, Xin, et al.. (2024). The Lyα Nondetection by JWST NIRSpec of a Strong Lyα Emitter at z = 5.66 Confirmed by MUSE. The Astrophysical Journal. 972(1). 121–121. 2 indexed citations
8.
Song, Jie, et al.. (2023). Evolution of Nonparametric Morphology of Galaxies in the JWST CEERS Field at z ≃ 0.8–3.0. The Astrophysical Journal. 954(2). 113–113. 13 indexed citations
9.
Wang, Jing, et al.. (2023). The Interstellar Medium Scaling Relations Using Inner H i and an Application of Estimating Dust Mass. The Astrophysical Journal. 950(2). 84–84. 1 indexed citations
10.
Zheng, Xianzhong, et al.. (2023). Local Star-forming Galaxies Build Up Central Mass Concentration Most Actively near M = 1010 M . The Astrophysical Journal. 958(1). 42–42. 1 indexed citations
11.
Bendo, G. J., et al.. (2023). Star formation in the centre of NGC 1808 as observed by ALMA. Monthly Notices of the Royal Astronomical Society. 525(3). 3645–3661. 1 indexed citations
13.
Wang, Jing, et al.. (2019). The growth of bulges and discs in relatively H i-rich galaxies: indication from H i scaling relations. Monthly Notices of the Royal Astronomical Society. 492(2). 2393–2404. 5 indexed citations
14.
Zou, Hu, et al.. (2018). A Photometric Redshift Catalog Based on SCUSS, SDSS, and WISE Surveys. The Astrophysical Journal. 862(1). 12–12. 9 indexed citations
15.
Liu, Qing, Enci Wang, Zesen Lin, et al.. (2018). Elevation or Suppression? The Resolved Star Formation Main Sequence of Galaxies with Two Different Assembly Modes. The Astrophysical Journal. 857(1). 17–17. 13 indexed citations
16.
Zheng, Zhen-Ya, Junxian Wang, James E. Rhoads, et al.. (2017). First Results from the Lyman Alpha Galaxies in the Epoch of Reionization (LAGER) Survey: Cosmological Reionization at z ∼ 7. The Astrophysical Journal Letters. 842(2). L22–L22. 96 indexed citations
17.
Lian, Jianhui, Qingfeng Zhu, Xu Kong, & Jinhua He. (2014). Characterizing AGB stars in Wide-field Infrared Survey Explorer (WISE) bands. Springer Link (Chiba Institute of Technology). 9 indexed citations
18.
Shi, Fei, Yuyan Liu, Xu Kong, & Yang Chen. (2014). Artificial neural network to search for metal-poor galaxies. Springer Link (Chiba Institute of Technology). 5 indexed citations
19.
Peng, Qian, et al.. (2009). Study on antibacterial activity of saponins from Gleditsia sinensis and camellia.. Linchan huaxue yu gongye. 29. 203–206. 1 indexed citations
20.
Kong, Xu. (2004). Spectroscopic study of blue compact galaxies. Springer Link (Chiba Institute of Technology). 14 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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