Kefeng Tan

683 total citations
26 papers, 385 citations indexed

About

Kefeng Tan is a scholar working on Astronomy and Astrophysics, Instrumentation and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Kefeng Tan has authored 26 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Astronomy and Astrophysics, 14 papers in Instrumentation and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Kefeng Tan's work include Stellar, planetary, and galactic studies (23 papers), Astronomy and Astrophysical Research (14 papers) and Astrophysics and Star Formation Studies (13 papers). Kefeng Tan is often cited by papers focused on Stellar, planetary, and galactic studies (23 papers), Astronomy and Astrophysical Research (14 papers) and Astrophysics and Star Formation Studies (13 papers). Kefeng Tan collaborates with scholars based in China, Japan and United States. Kefeng Tan's co-authors include Gang Zhao, Haining Li, Jianrong Shi, Jingkun Zhao, Yoichi Takeda, Robert L. Kurucz, F. Grupp, Chiaki Kobayashi, Hong-Liang Yan and Yuqin Chen and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Astrophysical Journal Supplement Series.

In The Last Decade

Kefeng Tan

23 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kefeng Tan China 11 336 180 37 23 22 26 385
M. Chávez Mexico 12 464 1.4× 162 0.9× 20 0.5× 18 0.8× 25 1.1× 56 497
Christoph Birk United States 10 530 1.6× 146 0.8× 55 1.5× 30 1.3× 39 1.8× 15 555
Oleg V. Egorov Russia 14 450 1.3× 125 0.7× 37 1.0× 12 0.5× 14 0.6× 59 480
E. Poggio Italy 13 709 2.1× 316 1.8× 42 1.1× 37 1.6× 17 0.8× 22 754
T. H. Dall Chile 13 542 1.6× 228 1.3× 14 0.4× 34 1.5× 27 1.2× 29 558
M. Kohandel Italy 14 576 1.7× 247 1.4× 45 1.2× 22 1.0× 13 0.6× 24 618
Kevin B. Burdge United States 13 662 2.0× 200 1.1× 61 1.6× 43 1.9× 21 1.0× 33 723
T. Conrow United States 13 539 1.6× 202 1.1× 51 1.4× 14 0.6× 16 0.7× 20 556
Tara Fetherolf United States 13 539 1.6× 235 1.3× 30 0.8× 24 1.0× 12 0.5× 32 561
Tansu Daylan United States 12 308 0.9× 96 0.5× 36 1.0× 23 1.0× 18 0.8× 27 331

Countries citing papers authored by Kefeng Tan

Since Specialization
Citations

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

Fields of papers citing papers by Kefeng Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kefeng Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Kefeng Tan. A scholar is included among the top collaborators of Kefeng Tan 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 Kefeng Tan. Kefeng Tan 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.
Fan, Zhou, Gang Zhao, Yang Huang, et al.. (2025). The Stellar Abundances and Galactic Evolution Survey (SAGES). II. Machine Learning–based Stellar Parameters for 21 Million Stars from the First Data Release. The Astrophysical Journal Supplement Series. 277(1). 19–19. 2 indexed citations
2.
Singh, Harinder P., et al.. (2025). Extraction of Physical Parameters of RRab Variables Using Neural Network Based Interpolator. Universe. 11(7). 207–207.
3.
Beers, Timothy C., Young Sun Lee, Yang Huang, et al.. (2024). Candidate Members of the VMP/EMP Disk System of the Galaxy from the SkyMapper and SAGES Surveys. The Astrophysical Journal Supplement Series. 273(1). 12–12. 6 indexed citations
4.
Zhou, Fan, Wei Wang, Kefeng Tan, et al.. (2024). The Stellar Abundances and Galactic Evolution Survey (SAGES) III. Research in Astronomy and Astrophysics. 25(2). 25003–25003. 1 indexed citations
6.
Zhao, Jingkun, et al.. (2023). A Dwarf Galaxy Debris Stream Associated with Palomar 1 and the Anticenter Stream. The Astrophysical Journal Letters. 945(1). L5–L5. 3 indexed citations
7.
Tan, Kefeng, Gang Zhao, Wei Wang, et al.. (2022). The Stellar Abundances and Galactic Evolution Survey: Photonic Passbands and Extinction Coefficients for the u and v Bands. Research in Astronomy and Astrophysics. 22(10). 105004–105004. 1 indexed citations
8.
Chen, Bingqiu, Xiaoying Pang, Juanjuan Ren, et al.. (2020). Comparisons of Different Fitting Methods for the Physical Parameters of a Star Cluster Sample of M33 with Spectroscopy and Photometry. The Astrophysical Journal Supplement Series. 251(1). 13–13. 3 indexed citations
9.
Li, Haining, Kefeng Tan, & Gang Zhao. (2018). A Catalog of 10,000 Very Metal-poor Stars from LAMOST DR3. The Astrophysical Journal Supplement Series. 238(2). 16–16. 53 indexed citations
10.
Zhao, Gang, et al.. (2017). Abundance patterns of evolved stars with Hipparcos parallaxes and ages based on the APOGEE data base. Monthly Notices of the Royal Astronomical Society. 473(2). 2622–2632. 2 indexed citations
11.
Zhao, Gang, L. Mashonkina, Hong-Liang Yan, et al.. (2016). SYSTEMATIC NON-LTE STUDY OF THE −2.6 ≤ [Fe/H] ≤ 0.2 F AND G DWARFS IN THE SOLAR NEIGHBORHOOD. II. ABUNDANCE PATTERNS FROM Li TO Eu*. The Astrophysical Journal. 833(2). 225–225. 101 indexed citations
12.
Tan, Kefeng, Jianrong Shi, Masahide Takada‐Hidai, Yoichi Takeda, & Gang Zhao. (2016). A NON-LTE STUDY OF SILICON ABUNDANCES IN GIANT STARS FROM THE Si i INFRARED LINES IN THE zJ-BAND*. The Astrophysical Journal. 823(1). 36–36. 6 indexed citations
13.
Zhao, Jingkun, T. D. Oswalt, Yuqin Chen, et al.. (2015). CaII H&K emission distribution of ∼ 120 000 F, G and K stars in LAMOST DR1. Research in Astronomy and Astrophysics. 15(8). 1282–1293. 14 indexed citations
14.
Zhao, Jingkun, Gang Zhao, Yuqin Chen, et al.. (2015). Halo stream candidates in the LAMOST DR2. Research in Astronomy and Astrophysics. 15(8). 1378–1391. 6 indexed citations
15.
Chen, Yuqin, Gang Zhao, Kenneth Carrell, et al.. (2014). RED GIANT STARS FROM SLOAN DIGITAL SKY SURVEY. I. THE GENERAL FIELD. The Astrophysical Journal. 795(1). 52–52. 18 indexed citations
16.
Tan, Kefeng, Yuqin Chen, Kenneth Carrell, Jingkun Zhao, & Gang Zhao. (2014). RED GIANT STARS FROM THE SLOAN DIGITAL SKY SURVEY. II. DISTANCES. The Astrophysical Journal. 794(1). 60–60. 7 indexed citations
17.
Zhao, Jingkun, et al.. (2014). THREE MOVING GROUPS DETECTED IN THE LAMOST DR1 ARCHIVE. The Astrophysical Journal. 787(1). 31–31. 11 indexed citations
18.
Tan, Kefeng, Liang Wang, Gang Zhao, et al.. (2014). THE LITHIUM ABUNDANCES OF A LARGE SAMPLE OF RED GIANTS. The Astrophysical Journal. 785(2). 94–94. 38 indexed citations
19.
Grupp, F., Robert L. Kurucz, & Kefeng Tan. (2009). New extended atomic data in cool star model atmospheres. Astronomy and Astrophysics. 503(1). 177–181. 22 indexed citations
20.
Ando, Hiroyasu, Kefeng Tan, Eiji Kambe, Bun’ei Sato, & Gang Zhao. (2008). Detection of Small-Amplitude Oscillations in the G-Giant HD76294 (ζ Hydrae). Publications of the Astronomical Society of Japan. 60(2). 219–222. 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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