Xiangning Chu

2.1k total citations
73 papers, 1.4k citations indexed

About

Xiangning Chu is a scholar working on Astronomy and Astrophysics, Geophysics and Molecular Biology. According to data from OpenAlex, Xiangning Chu has authored 73 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Astronomy and Astrophysics, 39 papers in Geophysics and 38 papers in Molecular Biology. Recurrent topics in Xiangning Chu's work include Ionosphere and magnetosphere dynamics (68 papers), Solar and Space Plasma Dynamics (44 papers) and Earthquake Detection and Analysis (39 papers). Xiangning Chu is often cited by papers focused on Ionosphere and magnetosphere dynamics (68 papers), Solar and Space Plasma Dynamics (44 papers) and Earthquake Detection and Analysis (39 papers). Xiangning Chu collaborates with scholars based in United States, China and Canada. Xiangning Chu's co-authors include R. L. McPherron, V. Angelopoulos, Jacob Bortnik, Tung‐Shin Hsu, Qianli Ma, J. Kissinger, Jiang Liu, T. Hsu, Wen Li and Z. Y. Pu and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Space Science Reviews.

In The Last Decade

Xiangning Chu

67 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangning Chu United States 21 1.3k 640 578 85 46 73 1.4k
Natalia Ganushkina Finland 31 2.2k 1.8× 1.1k 1.7× 706 1.2× 154 1.8× 73 1.6× 113 2.4k
C. Forsyth United Kingdom 26 1.7k 1.3× 863 1.3× 603 1.0× 111 1.3× 51 1.1× 97 1.7k
Rajkumar Hajra United States 24 1.5k 1.2× 545 0.9× 595 1.0× 107 1.3× 27 0.6× 91 1.6k
Adam Kellerman United States 20 1.2k 1.0× 273 0.4× 577 1.0× 166 2.0× 73 1.6× 55 1.3k
S. Zaharia United States 24 1.5k 1.2× 695 1.1× 464 0.8× 100 1.2× 118 2.6× 39 1.6k
T. E. Sarris Greece 20 1.2k 1.0× 398 0.6× 568 1.0× 118 1.4× 57 1.2× 73 1.3k
Irina Zhelavskaya Germany 17 760 0.6× 180 0.3× 376 0.7× 102 1.2× 47 1.0× 35 846
A. P. Dimmock United States 23 1.4k 1.1× 587 0.9× 332 0.6× 49 0.6× 123 2.7× 77 1.4k
Jiang Liu United States 26 2.1k 1.7× 1.1k 1.7× 715 1.2× 70 0.8× 143 3.1× 107 2.3k
Alexa Halford United States 21 1.1k 0.9× 239 0.4× 631 1.1× 92 1.1× 55 1.2× 75 1.2k

Countries citing papers authored by Xiangning Chu

Since Specialization
Citations

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

Fields of papers citing papers by Xiangning Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangning Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangning Chu. A scholar is included among the top collaborators of Xiangning Chu 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 Xiangning Chu. Xiangning Chu 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.
Li, Wen, et al.. (2024). Modeling Global Electron Precipitation Driven by Whistler Mode Waves: Integrating Physical and Deep Learning Approaches. Journal of Geophysical Research Space Physics. 129(12).
2.
Shen, Xiaochen, Wen Li, Qianli Ma, et al.. (2024). Large Amplitude Whistler Waves in Earth's Plasmasphere and Plasmaspheric Plumes. Geophysical Research Letters. 51(8). 4 indexed citations
3.
Li, Jinxing, Jacob Bortnik, Qianli Ma, et al.. (2024). Fine Structure of Magnetospheric Magnetosonic Waves: 1. Elementary Rising‐Tone Emissions Within Individual Harmonic. Journal of Geophysical Research Space Physics. 129(3). 1 indexed citations
4.
5.
Li, Wen, Qianli Ma, Xiaochen Shen, et al.. (2023). Deep learning model of hiss waves in the plasmasphere and plumes and their effects on radiation belt electrons. Frontiers in Astronomy and Space Sciences. 10. 5 indexed citations
6.
Aryan, Homayon, et al.. (2023). A Statistical Analysis of the Auroral Streamer Current System. Journal of Geophysical Research Space Physics. 128(11).
7.
Bortnik, Jacob, et al.. (2023). Opening the Black Box of the Radiation Belt Machine Learning Model. Space Weather. 21(4). 14 indexed citations
8.
Usanova, Maria, Gian Luca Delzanno, Xiangning Chu, et al.. (2023). Cold ion heating in Earth’s magnetosphere. 1 indexed citations
9.
Li, Jinxing, Jacob Bortnik, Xiangning Chu, et al.. (2023). Modeling Ring Current Proton Fluxes Using Artificial Neural Network and Van Allen Probe Measurements. Space Weather. 21(5). 5 indexed citations
10.
Chu, Xiangning, Jacob Bortnik, Wen Li, et al.. (2023). Distribution and Evolution of Chorus Waves Modeled by a Neural Network: The Importance of Imbalanced Regression. Space Weather. 21(10). 4 indexed citations
11.
Chu, Xiangning, Jacob Bortnik, S. G. Claudepierre, et al.. (2022). Modeling the Dynamic Variability of Sub‐Relativistic Outer Radiation Belt Electron Fluxes Using Machine Learning. Space Weather. 20(8). 24 indexed citations
12.
Weygand, J. M., Jacob Bortnik, Xiangning Chu, et al.. (2022). Magnetosphere‐Ionosphere Coupling Between North‐South Propagating Streamers and High‐Speed Earthward Flows. Journal of Geophysical Research Space Physics. 127(10). 8 indexed citations
13.
Li, Jinxing, Xiangning Chu, Jacob Bortnik, et al.. (2021). Characteristics of Substorm‐Onset‐Related and Nonsubstorm Earthward Fast Flows and Associated Magnetic Flux Transport: THEMIS Observations. Journal of Geophysical Research Space Physics. 126(3). 5 indexed citations
14.
Chu, Xiangning, Jacob Bortnik, W. Kent Tobiska, et al.. (2021). Relativistic Electron Model in the Outer Radiation Belt Using a Neural Network Approach. Space Weather. 19(12). 50 indexed citations
15.
Haiducek, John D., D. T. Welling, Steven K. Morley, Natalia Ganushkina, & Xiangning Chu. (2020). Using Multiple Signatures to Improve Accuracy of Substorm Identification. Journal of Geophysical Research Space Physics. 125(4). 18 indexed citations
16.
Malaspina, D., Jean‐François Ripoll, Xiangning Chu, G. B. Hospodarsky, & J. R. Wygant. (2018). Variation in Plasmaspheric Hiss Wave Power With Plasma Density. Geophysical Research Letters. 45(18). 9417–9426. 38 indexed citations
17.
Connors, Martin, Sébastien Guillon, Xiangning Chu, et al.. (2018). LIME in Local Time: The Magnetosphere Acting Impulsively. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
18.
Li, Jinxing, Jacob Bortnik, Wen Li, et al.. (2017). Coherently modulated whistler mode waves simultaneously observed over unexpectedly large spatial scales. Journal of Geophysical Research Space Physics. 122(2). 1871–1882. 9 indexed citations
19.
Chu, Xiangning, Jacob Bortnik, Wen Li, et al.. (2017). A neural network model of three‐dimensional dynamic electron density in the inner magnetosphere. Journal of Geophysical Research Space Physics. 122(9). 9183–9197. 66 indexed citations
20.
Chu, Xiangning & Jay J. Ague. (2015). A new statistical analysis of rare earth element diffusion data in garnet. AGUFM. 2015. 1 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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