Meng Jin

1.9k total citations
60 papers, 1.1k citations indexed

About

Meng Jin is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Meng Jin has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Astronomy and Astrophysics, 8 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Meng Jin's work include Solar and Space Plasma Dynamics (39 papers), Stellar, planetary, and galactic studies (23 papers) and Ionosphere and magnetosphere dynamics (16 papers). Meng Jin is often cited by papers focused on Solar and Space Plasma Dynamics (39 papers), Stellar, planetary, and galactic studies (23 papers) and Ionosphere and magnetosphere dynamics (16 papers). Meng Jin collaborates with scholars based in United States, China and Austria. Meng Jin's co-authors include T. I. Gombosi, Vladimir Airapetian, B. van der Holst, И. В. Соколов, Manasvi Lingam, Chuanfei Dong, Weiwei Geng, W. B. Manchester, Li‐Guo Qin and Mark C. M. Cheung and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Astrophysical Journal and Bioresource Technology.

In The Last Decade

Meng Jin

51 papers receiving 962 citations

Peers

Meng Jin

RESE

EEE

P. Sobrón United States

T. Majeed United States

A. Yoshida Japan

Jinxing Li China

Liang Dai United States

Jiancheng Wang China

Daniel Cordier France

S. C. Garg India

Fang Huang China

P. Sobrón United States

Meng Jin

301 ×0.4

31 ×0.2

83 ×0.9

11 ×0.1

RESE

19 ×0.3

EEE

Citations per year, relative to Meng Jin Meng Jin (= 1×) peers P. Sobrón

Countries citing papers authored by Meng Jin

Since Specialization

Citations

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

Fields of papers citing papers by Meng Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Jin

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

All Works

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20 of 20 papers shown

Veronig, Astrid, Karin Dissauer, B. Kliem, et al.. (2025). Coronal dimmings and what they tell us about solar and stellar coronal mass ejections. PubMed. 22(1). 2–2. 3 indexed citations

Sun, Ce, Dingyuan Zheng, Jie Zhang, et al.. (2025). Highly resilient PBAT foams fabricated by bamboo powder limiting strategy using supercritical CO2 foaming. Industrial Crops and Products. 236. 122056–122056.

Jin, Meng, et al.. (2025). Structure, Mechanical Properties, and Rheological Characteristics of Poly(Butylene Adipate-co-Terephthalate)–Polylactic Acid Blends Modified via In Situ Maleic Anhydride Grafting. Polymers. 17(16). 2264–2264.

Mason, James, Allison Youngblood, Kevin France, Astrid Veronig, & Meng Jin. (2025). Detecting Stellar Coronal Mass Ejections via Coronal Dimming in the Extreme Ultraviolet. The Astrophysical Journal. 988(2). 167–167. 1 indexed citations

Ofman, L., Tongjiang Wang, Xudong Sun, & Meng Jin. (2025). Modeling the Excitation, Propagation, and Damping of Quasiperiodic Fast Magnetosonic Waves in Realistic Coronal Active Region Magnetic Field Structures. The Astrophysical Journal. 994(1). 25–25.

Török, Tibor, Noé Lugaz, Christina O. Lee, et al.. (2023). Learn to Walk Before You Run: A Case for Fundamental CME Research Utilizing Idealized MHD Models. 2 indexed citations

Airapetian, Vladimir, Meng Jin, B. J. Lynch, et al.. (2023). Expanding The Frontiers: From The Solar Corona and The Wind to Evolving Space Weather of Planet Hosting Stars. Maryland Shared Open Access Repository (USMAI Consortium). 1 indexed citations

Wood, Brian E., Erika Palmerio, S. E. Gibson, et al.. (2023). Sensing CME Magnetic Fields En Route to 1 AU. 55(3). 1 indexed citations

Lugaz, Noé, Nada Al-Haddad, Tibor Török, et al.. (2023). he Importance of Fundamental Research on the Upper Coronal and Heliospheric Evolution of Coronal Mass Ejections. 1 indexed citations

10.

Cheung, Mark C. M., Meng Jin, N. Nitta, et al.. (2023). Improved Observational Coverage of the Solar Magnetic Field.

11.

Loyd, R. O. Parke, James Mason, Meng Jin, et al.. (2022). Constraining the Physical Properties of Stellar Coronal Mass Ejections with Coronal Dimming: Application to Far-ultraviolet Data of ϵ Eridani. The Astrophysical Journal. 936(2). 170–170. 25 indexed citations

12.

Salvatelli, Valentina, Mark C. M. Cheung, Miho Janvier, et al.. (2022). Exploring the Limits of Synthetic Creation of Solar EUV Images via Image-to-image Translation. The Astrophysical Journal. 937(2). 100–100. 6 indexed citations

13.

Li, Gang, Meng Jin, A. Bruno, et al.. (2021). Modeling the 2012 May 17 Solar Energetic Particle Event Using the AWSoM and iPATH Models. The Astrophysical Journal. 919(2). 146–146. 28 indexed citations

14.

Salvatelli, Valentina, Mark C. M. Cheung, Miho Janvier, et al.. (2021). Multichannel autocalibration for the Atmospheric Imaging Assembly using machine learning. Astronomy and Astrophysics. 648. A53–A53. 9 indexed citations

15.

Dong, Chuanfei, Meng Jin, & Manasvi Lingam. (2020). Atmospheric Escape From TOI-700 d: Venus versus Earth Analogs. The Astrophysical Journal Letters. 896(2). L24–L24. 25 indexed citations

16.

Kocharov, L. G., M. Pesce-Rollins, T. Laitinen, et al.. (2020). Interplanetary Protons versus Interacting Protons in the 2017 September 10 Solar Eruptive Event. The Astrophysical Journal. 890(1). 13–13. 18 indexed citations

17.

Fouhey, David F., Andrés Muñoz‐Jaramillo, Paul Wright, et al.. (2019). A deep learning virtual instrument for monitoring extreme UV solar spectral irradiance. Science Advances. 5(10). eaaw6548–eaaw6548. 20 indexed citations

18.

Wright, Paul, Mark C. M. Cheung, Rajat M. Thomas, et al.. (2019). DeepEM: Demonstrating a Deep Learning Approach to DEM Inversion. Figshare. 2 indexed citations

19.

Dong, Chuanfei, et al.. (2017). Atmospheric escape from the TRAPPIST-1 planets and implications for habitability. Proceedings of the National Academy of Sciences. 115(2). 260–265. 113 indexed citations

20.

Jin, Meng, W. B. Manchester, R. Oran, et al.. (2012). Simulation of the Coronal Mass Ejection on 2011 March 7: from Chromosphere to 1 AU. AGU Fall Meeting Abstracts. 2012. 4. 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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