Chenzhou Cui

1.4k citations
59 papers · 236 · h-index 9

Impact in

    • Astronomy and Astrophysical Research
    • Gamma-ray bursts and supernovae
    • Stellar, planetary, and galactic studies
    • Galaxies: Formation, Evolution, Phenomena

Papers in

Chenzhou Cui

47 papers receiving 207 citations

Peers

Chenzhou Cui
Comparison fields: 5 of 57
  • Instrumentation 42
  • Astronomy and Astrophysics 75
  • Signal Processing 32
  • Computational Mechanics 55
  • Information Systems and Management 19
Replace George Zagaris with:
George Zagaris United States
F. Pasian Italy
R. Smareglia Italy
Kam-Ching Leung United States
Hyun Chul Lee South Korea
Eddy Younger United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Chenzhou Cui

Since Specialization
Citations

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

Fields of papers citing papers by Chenzhou Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chenzhou Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chenzhou Cui Line = papers co-authored together Chenzhou Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200424
2 200918
3 202117
4 201516
5 202413
6
Data mining and knowledge discovery in database of astronomy
200213
7 202213
8 202112
9 20239
10 20077
11 20027
12 20167
13 20206
14 20015
15 20155
16 20195
17 20145
18
Efficient Catalog Matching with Dropout Detection
20164
19 20243
20 20243

About Chenzhou Cui

Chenzhou Cui is a scholar working on Computational Mechanics, Astronomy and Astrophysics, Artificial Intelligence, Instrumentation and Computer Networks and Communications, having authored 59 papers that have together received 236 indexed citations. Recurring topics across this work include Astronomical Observations and Instrumentation (25 papers), Astronomy and Astrophysical Research (13 papers), Advanced Computational Techniques and Applications (11 papers), Stellar, planetary, and galactic studies (9 papers), Gamma-ray bursts and supernovae (9 papers), Astrophysics and Cosmic Phenomena (6 papers), Distributed and Parallel Computing Systems (6 papers) and Data Management and Algorithms (4 papers). The work is most often cited by research in Instrumentation (42 citations), Astronomy and Astrophysics (75 citations), Signal Processing (32 citations), Computational Mechanics (55 citations) and Information Systems and Management (19 citations). Chenzhou Cui has collaborated with scholars based in China, United States and India. Frequent co-authors include Yongheng Zhao, Ce Yu, Yanxia Zhang, Jian Xiao, Dongwei Fan, Jizhou Sun, Qing Zhao, Boliang He, Laiping Zhao and Yunfei Xu. Their work appears in journals such as Astronomy and Computing, Monthly Notices of the Royal Astronomical Society, Publications of the Astronomical Society of the Pacific, The Astrophysical Journal Supplement Series and New Astronomy.

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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