Yuanhang Ning

605 total citations
8 papers, 106 citations indexed

About

Yuanhang Ning is a scholar working on Astronomy and Astrophysics, Instrumentation and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yuanhang Ning has authored 8 papers receiving a total of 106 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Astronomy and Astrophysics, 4 papers in Instrumentation and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Yuanhang Ning's work include Galaxies: Formation, Evolution, Phenomena (8 papers), Astronomy and Astrophysical Research (4 papers) and Gamma-ray bursts and supernovae (3 papers). Yuanhang Ning is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (8 papers), Astronomy and Astrophysical Research (4 papers) and Gamma-ray bursts and supernovae (3 papers). Yuanhang Ning collaborates with scholars based in China, United States and Chile. Yuanhang Ning's co-authors include Linhua Jiang, Zhen-Ya Zheng, Jin Wu, Luis C. Ho, Xiaohui Fan, Xue-Bing Wu, Daniele Spinoso, Zheng Cai, Bin Luo and Xiaojing Lin and has published in prestigious journals such as The Astrophysical Journal, The Astrophysical Journal Supplement Series and The Astrophysical Journal Letters.

In The Last Decade

Yuanhang Ning

6 papers receiving 86 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuanhang Ning China	6	101	34	19	6	3	8	106
Patrick S. Kamieneski United States	6	96 1.0×	29 0.9×	25 1.3×	5 0.8×	2 0.7×	11	102
Katherine Ormerod United Kingdom	5	95 0.9×	57 1.7×	14 0.7×	4 0.7×	3 1.0×	9	108
Haeun Chung United States	5	85 0.8×	47 1.4×	11 0.6×	7 1.2×	4 1.3×	19	90
C. Diener Germany	4	103 1.0×	43 1.3×	22 1.2×	7 1.2×	3 1.0×	4	107
Josephine F. W. Baggen Denmark	5	136 1.3×	66 1.9×	19 1.0×	5 0.8×	3 1.0×	7	168
Fabio Ragosta Italy	6	91 0.9×	28 0.8×	20 1.1×	8 1.3×	5 1.7×	13	98
B. R. Saliwanchik United States	2	91 0.9×	21 0.6×	31 1.6×	5 0.8×	2 0.7×	5	94
Etienne A. Kaiser United Kingdom	4	173 1.7×	34 1.0×	13 0.7×	4 0.7×	4 1.3×	5	176
J. Bolmer United Kingdom	6	155 1.5×	30 0.9×	19 1.0×	6 1.0×	2 0.7×	14	155
Thomas Herard-Demanche Denmark	3	88 0.9×	59 1.7×	11 0.6×	6 1.0×	4 1.3×	3	99

Countries citing papers authored by Yuanhang Ning

Since Specialization

Citations

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

Fields of papers citing papers by Yuanhang Ning

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanhang Ning

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanhang Ning. A scholar is included among the top collaborators of Yuanhang Ning 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 Yuanhang Ning. Yuanhang Ning 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:

8 of 8 papers shown

1.

Cai, Zheng, Mingyu Li, Yongming Liang, et al.. (2025). MAMMOTH-Subaru. IV. Large Scale Structure and Clustering Analysis of Lyα Emitters and Lyα Blobs at z = 2.2–2.3. The Astrophysical Journal. 981(1). 70–70.

2.

Lin, Xiaojing, Zheng Cai, Yunjing Wu, et al.. (2024). Quantifying the Escape of Lyα at z ≈ 5–6: A Census of Lyα Escape Fraction with Hα-emitting Galaxies Spectroscopically Confirmed by JWST and VLT/MUSE. The Astrophysical Journal Supplement Series. 272(2). 33–33. 6 indexed citations

3.

Ning, Yuanhang, Zheng Cai, Xiaojing Lin, et al.. (2024). Unveiling Luminous Lyα Emitters at z ≈ 6 through JWST/NIRCam Imaging in the COSMOS Field. The Astrophysical Journal Letters. 963(2). L38–L38. 7 indexed citations

4.

Jiang, Linhua, et al.. (2024). The Magellan M2FS Spectroscopic Survey of High-redshift Galaxies: The Brightest Lyman-break Galaxies at z ∼ 6. The Astrophysical Journal. 963(1). 51–51.

5.

Ning, Yuanhang, et al.. (2023). An Hα Impression of Lyα Galaxies at z ≃ 6 with Deep JWST/NIRCam Imaging. The Astrophysical Journal Letters. 944(1). L1–L1. 12 indexed citations

6.

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

7.

Ning, Yuanhang, Linhua Jiang, Zhen-Ya Zheng, & Jin Wu. (2022). The Magellan M2FS Spectroscopic Survey of High-z Galaxies: Lyα Emitters at z ≈ 6.6 and the Evolution of Lyα Luminosity Function over z ≈ 5.7–6.6. The Astrophysical Journal. 926(2). 230–230. 31 indexed citations

8.

Ning, Yuanhang, Linhua Jiang, Zhen-Ya Zheng, et al.. (2020). The Magellan M2FS Spectroscopic Survey of High-redshift Galaxies: A Sample of 260 Lyα Emitters at Redshift z ≈ 5.7. The Astrophysical Journal. 903(1). 4–4. 16 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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