Bin Luo

8.9k total citations
180 papers, 3.4k citations indexed

About

Bin Luo is a scholar working on Astronomy and Astrophysics, Information Systems and Artificial Intelligence. According to data from OpenAlex, Bin Luo has authored 180 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Astronomy and Astrophysics, 69 papers in Information Systems and 38 papers in Artificial Intelligence. Recurrent topics in Bin Luo's work include Galaxies: Formation, Evolution, Phenomena (73 papers), Astrophysical Phenomena and Observations (72 papers) and Astrophysics and Cosmic Phenomena (33 papers). Bin Luo is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (73 papers), Astrophysical Phenomena and Observations (72 papers) and Astrophysics and Cosmic Phenomena (33 papers). Bin Luo collaborates with scholars based in China, United States and United Kingdom. Bin Luo's co-authors include W. N. Brandt, Jidong Ge, Yongquan Xue, Xiaojiang Du, Xiao Fu, F. E. Bauer, Bret Lehmer, Mohsen Guizani, Donald P. Schneider and D. M. Alexander and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and IEEE Transactions on Image Processing.

In The Last Decade

Bin Luo

166 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bin Luo China	33	2.0k	843	637	600	477	180	3.4k
Jeremy Kepner United States	22	337 0.2×	429 0.5×	74 0.1×	808 1.3×	114 0.2×	82	1.9k
Stephen L. Scott United States	27	862 0.4×	889 1.1×	57 0.1×	1.5k 2.5×	35 0.1×	150	2.7k
G. Bruce Berriman United States	28	1.1k 0.6×	2.0k 2.4×	150 0.2×	2.4k 4.0×	284 0.6×	92	3.9k
Gaogang Xie China	34	1.1k 0.5×	245 0.3×	1.0k 1.6×	1.9k 3.2×	12 0.0×	331	3.9k
Mark Johnston United States	26	251 0.1×	108 0.1×	69 0.1×	846 1.4×	27 0.1×	151	3.0k
Neal E. Young United States	20	342 0.2×	107 0.1×	34 0.1×	957 1.6×	165 0.3×	65	1.9k
Quentin F. Stout United States	29	1.2k 0.6×	64 0.1×	60 0.1×	1.1k 1.9×	6 0.0×	140	3.5k
Rosa M. Badía Spain	29	228 0.1×	1.1k 1.3×	6 0.0×	2.3k 3.9×	136 0.3×	174	3.2k
Rob V. van Nieuwpoort Netherlands	20	101 0.1×	715 0.8×	35 0.1×	1.6k 2.7×	9 0.0×	75	2.1k

Countries citing papers authored by Bin Luo

Since Specialization

Citations

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

Fields of papers citing papers by Bin Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Luo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xu, Weiwei, Linhua Jiang, Ran Li, et al.. (2024). XMM-SERVS X-ray extended Galaxy Cluster (XVXGC) catalog. Astronomy and Astrophysics. 691. A300–A300.

Mayr‐Dorn, Christoph, Wesley K. G. Assunção, LiGuo Huang, et al.. (2024). RAT: A Refactoring-Aware Tool for Tracking Code History. 104–108.

Zou, Fan, W. N. Brandt, Qingling Ni, et al.. (2023). Identification and Characterization of a Large Sample of Distant Active Dwarf Galaxies in XMM-SERVS. The Astrophysical Journal. 950(2). 136–136. 13 indexed citations

Li, Chuanyi, et al.. (2023). PTM-APIRec: Leveraging Pre-trained Models of Source Code in API Recommendation. ACM Transactions on Software Engineering and Methodology. 33(3). 1–30. 6 indexed citations

Li, Chuanyi, et al.. (2023). Comparing the Pretrained Models of Source Code by Re-pretraining Under a Unified Setup. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 17768–17778. 3 indexed citations

Zou, Fan, W. N. Brandt, Chien‐Ting Chen, et al.. (2022). Spectral Energy Distributions in Three Deep-drilling Fields of the Vera C. Rubin Observatory Legacy Survey of Space and Time: Source Classification and Galaxy Properties. The Astrophysical Journal Supplement Series. 262(1). 15–15. 26 indexed citations

Jiang, Linhua, Yuanhang Ning, Xiaohui Fan, et al.. (2022). Definitive upper bound on the negligible contribution of quasars to cosmic reionization. Nature Astronomy. 6(7). 850–856. 34 indexed citations

Li, Chuanyi, et al.. (2022). StandUp4NPR: Standardizing SetUp for Empirically Comparing Neural Program Repair Systems. 1–13. 14 indexed citations

Du, Xiaojiang, et al.. (2022). Machine Learning-Based Non-Intrusive Digital Forensic Service for Smart Homes. IEEE Transactions on Network and Service Management. 20(2). 945–960. 4 indexed citations

10.

Vito, Fabio, M. Mignoli, R. Gilli, et al.. (2022). An X-ray fading, UV brightening QSO at z ≈ 6. Astronomy and Astrophysics. 663. A159–A159. 7 indexed citations

11.

Lehmer, Bret, Rafael T. Eufrasio, Antara Basu‐Zych, et al.. (2022). The Stellar-age Dependence of X-Ray Emission from Normal Star-forming Galaxies in the GOODS Fields. The Astrophysical Journal. 926(1). 28–28. 14 indexed citations

12.

Bauer, F. E., P. G. Jonker, W. N. Brandt, et al.. (2022). Extragalactic fast X-ray transient candidates discovered byChandra(2000–2014). Astronomy and Astrophysics. 663. A168–A168. 23 indexed citations

13.

Li, Chuanyi, et al.. (2020). Identifying Exaggerated Language. 7024–7034. 8 indexed citations

14.

Li, Junyao, Yongquan Xue, Mouyuan Sun, et al.. (2020). Piercing through Highly Obscured and Compton-thick AGNs in the Chandra Deep Fields. II. Are Highly Obscured AGNs the Missing Link in the Merger-triggered AGN–Galaxy Coevolution Models?. The Astrophysical Journal. 903(1). 49–49. 10 indexed citations

15.

Fu, Xiao, et al.. (2020). TamForen: A tamper‐proof cloud forensic framework. Transactions on Emerging Telecommunications Technologies. 33(4). 7 indexed citations

16.

Brandt, W. N., Patrick B. Hall, Bin Luo, et al.. (2017). X-Ray Insights into the Nature of Quasars with Redshifted Broad Absorption Lines. The Astrophysical Journal. 839(2). 101–101. 4 indexed citations

17.

Luo, Bin, Niel Brandt, & F. E. Bauer. (2014). Discovery of a fast X-ray transient in the Chandra Deep Field-South survey. The astronomer's telegram. 6541. 1. 1 indexed citations

18.

Basu‐Zych, Antara, Bret Lehmer, A. E. Hornschemeier, et al.. (2013). The X-Ray Star Formation Story as Told by Lyman Break Galaxies in the 4 Ms CDF-S. Leiden Repository (Leiden University). 52 indexed citations

19.

Luo, Bin, W. N. Brandt, Michael Eracleous, et al.. (2012). X-ray and multiwavelength insights into the inner structure of high-luminosity disc-like emitters. Monthly Notices of the Royal Astronomical Society. 429(2). 1479–1493. 1 indexed citations

20.

Ehlert, Steven R., S. W. Allen, W. N. Brandt, et al.. (2012). X-ray bright active galactic nuclei in massive galaxy clusters – I. Number counts and spatial distribution. Monthly Notices of the Royal Astronomical Society. 428(4). 3509–3525. 35 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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