Ming Zhu

3.1k total citations · 1 hit paper
71 papers, 1.2k citations indexed

About

Ming Zhu is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, Ming Zhu has authored 71 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Astronomy and Astrophysics, 18 papers in Nuclear and High Energy Physics and 6 papers in Instrumentation. Recurrent topics in Ming Zhu's work include Galaxies: Formation, Evolution, Phenomena (35 papers), Astrophysics and Star Formation Studies (22 papers) and Radio Astronomy Observations and Technology (19 papers). Ming Zhu is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (35 papers), Astrophysics and Star Formation Studies (22 papers) and Radio Astronomy Observations and Technology (19 papers). Ming Zhu collaborates with scholars based in China, United States and Canada. Ming Zhu's co-authors include Yuxin Li, Si‐Min He, Kun Zhang, Shuang Li, She Chen, Yanjie Wu, Leheng Wang, Bing Yang, Hao Chi and Yue‐He Ding and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Astrophysical Journal.

In The Last Decade

Ming Zhu

63 papers receiving 1.1k citations

Hit Papers

Identification of cross-l... 2012 2026 2016 2021 2012 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
Ming Zhu China 15 443 389 220 109 107 71 1.2k
Richard Chamberlin United States 17 266 0.6× 602 1.5× 90 0.4× 65 0.6× 25 0.2× 55 1.2k
Michael J. Fitch United States 21 155 0.3× 373 1.0× 359 1.6× 191 1.8× 90 0.8× 62 2.1k
Yu Yan China 12 279 0.6× 281 0.7× 30 0.1× 46 0.4× 70 0.7× 37 856
Michael Kowalski United States 17 100 0.2× 555 1.4× 95 0.4× 118 1.1× 6 0.1× 79 1.2k
William Zhang United States 19 1.0k 2.3× 329 0.8× 43 0.2× 179 1.6× 7 0.1× 52 1.6k
Cheng Cheng China 17 176 0.4× 199 0.5× 38 0.2× 134 1.2× 10 0.1× 68 1.0k
A. Schweitzer Germany 23 1.2k 2.8× 802 2.1× 262 1.2× 62 0.6× 402 3.8× 47 2.3k
James Matthews United Kingdom 23 751 1.7× 346 0.9× 15 0.1× 137 1.3× 55 0.5× 111 1.7k
S. J. Curran Australia 25 1.4k 3.2× 40 0.1× 205 0.9× 207 1.9× 105 1.0× 103 2.0k
Gregory P. Lafyatis United States 15 27 0.1× 125 0.3× 142 0.6× 314 2.9× 42 0.4× 36 1.0k

Countries citing papers authored by Ming Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Zhu. A scholar is included among the top collaborators of Ming Zhu 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 Ming Zhu. Ming Zhu 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.
Zhu, Ming, et al.. (2025). FAST Discovery of a Gas-rich and Ultrafaint Dwarf Galaxy: KK153. The Astrophysical Journal Letters. 982(2). L36–L36. 2 indexed citations
2.
Hu, Wenkai, Yougang Wang, Yichao Li, et al.. (2025). The FAST H i 21 cm Absorption Blind Survey. II. Statistical Exploration for Associated and Intervening Systems. The Astrophysical Journal Supplement Series. 277(1). 25–25. 1 indexed citations
3.
Liu, Xiao‐Lan, et al.. (2025). Discovery of a high-velocity cloud of the Milky Way as a potential dark galaxy. Science Advances. 11(16). eads4057–eads4057.
4.
Cai, Wei, et al.. (2024). A Performance Prediction Method Utilizing Time-Dependent Subsystem Transfers between Family Systems. Applied Sciences. 14(6). 2448–2448.
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.
Gu, Minfeng, S. J. Curran, E. K. Mahony, et al.. (2023). FAST Discovery of a Fast Neutral Hydrogen Outflow. The Astrophysical Journal Letters. 956(1). L28–L28. 2 indexed citations
7.
Zhu, Ming, et al.. (2023). FAST Reveals New Evidence for M94 as a Merger. The Astrophysical Journal. 952(2). 130–130. 6 indexed citations
8.
Xu, Jin-Long, et al.. (2023). Discovery of an Isolated Dark Dwarf Galaxy in the Nearby Universe. The Astrophysical Journal Letters. 944(2). L40–L40. 10 indexed citations
9.
Zhang, Chuan-Peng, Peng Jiang, Ming Zhu, et al.. (2023). Performance of FAST with an Ultra-Wide Bandwidth Receiver at 500–3300 MHz. Research in Astronomy and Astrophysics. 23(7). 75016–75016. 5 indexed citations
10.
Zhu, Ming, et al.. (2022). Extragalactic H i Survey with FAST: First Look at the Pilot Survey Results. Research in Astronomy and Astrophysics. 22(6). 65019–65019. 7 indexed citations
11.
Wang, Jing, L. Staveley‐Smith, X. Lin, et al.. (2022). Mapping H i in the NGC 4636 Galaxy Group with FAST. Research in Astronomy and Astrophysics. 22(9). 95016–95016. 1 indexed citations
12.
Zhang, Chuan-Peng, Jin-Long Xu, Jie Wang, et al.. (2021). Radio Frequency Interference Mitigation and Statistics in the Spectral Observations of FAST. Research in Astronomy and Astrophysics. 22(2). 25015–25015. 17 indexed citations
13.
Li, Xiao, Ming Zhu, Xiaohui Sun, Peng Jiang, & Chunwen Sun. (2021). FAST Continuum Mapping of the SNR VRO 42.05.01. Research in Astronomy and Astrophysics. 22(3). 35003–35003. 6 indexed citations
14.
Hu, Wenkai, Yichao Li, Yougang Wang, et al.. (2021). 1/f noise analysis for FAST H i intensity mapping drift-scan experiment. Monthly Notices of the Royal Astronomical Society. 508(2). 2897–2909. 5 indexed citations
15.
Zhu, Ming, Jie Wang, Jin-Long Xu, et al.. (2021). FAST Discovery of a Long H i Accretion Stream toward M106. The Astrophysical Journal Letters. 922(1). L21–L21. 14 indexed citations
16.
Yuan, Lixia, Guang-Xing Li, Ming Zhu, et al.. (2020). Edge collapse and subsequent longitudinal accretion in filament S242. Astronomy and Astrophysics. 637. A67–A67. 23 indexed citations
17.
Jiang, Chong, et al.. (2015). TWO COASTLINE DETECTION METHODS BASED ON IMPROVED LEVEL SET ALGORITHM IN SYNTHETIC APERTURE RADAR IMAGES. 2 indexed citations
18.
Zhu, Ming, et al.. (2013). Conceptual design optimization of stratosphere airship based on improved CO-RS. Beijing Hangkong Hangtian Daxue xuebao. 39(2). 239. 1 indexed citations
19.
Zhu, Ming, et al.. (2012). Reliability allocation using probabilistic analytical target cascading with efficient uncertainty propagation. Eksploatacja i Niezawodnosc - Maintenance and Reliability. 270–277. 4 indexed citations
20.
Zhu, Ming, et al.. (2012). Ascent trajectory optimization for stratospheric airships with thermal effects. Beijing Hangkong Hangtian Daxue xuebao. 38(10). 1346. 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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