Yunjiao Pu

686 total citations
30 papers, 453 citations indexed

About

Yunjiao Pu is a scholar working on Astronomy and Astrophysics, Electrical and Electronic Engineering and Global and Planetary Change. According to data from OpenAlex, Yunjiao Pu has authored 30 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Astronomy and Astrophysics, 13 papers in Electrical and Electronic Engineering and 12 papers in Global and Planetary Change. Recurrent topics in Yunjiao Pu's work include Lightning and Electromagnetic Phenomena (22 papers), Fire effects on ecosystems (10 papers) and Ionosphere and magnetosphere dynamics (9 papers). Yunjiao Pu is often cited by papers focused on Lightning and Electromagnetic Phenomena (22 papers), Fire effects on ecosystems (10 papers) and Ionosphere and magnetosphere dynamics (9 papers). Yunjiao Pu collaborates with scholars based in United States, China and Spain. Yunjiao Pu's co-authors include Steven A. Cummer, Xiushu Qie, Rubin Jiang, Zhuling Sun, Hongbo Zhang, Gaopeng Lu, Mingyuan Liu, Mingyuan Liu, Zheng Fan and Lu Shen and has published in prestigious journals such as Geophysical Research Letters, Materials Letters and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

Yunjiao Pu

28 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunjiao Pu United States 13 357 160 134 85 71 30 453
Caixia Wang China 12 338 0.9× 175 1.1× 158 1.2× 129 1.5× 47 0.7× 32 493
A. Regan United States 8 268 0.8× 93 0.6× 176 1.3× 51 0.6× 57 0.8× 41 433
Guili Feng China 17 471 1.3× 310 1.9× 205 1.5× 166 2.0× 45 0.6× 44 650
S.O. Knox United States 13 514 1.4× 115 0.7× 149 1.1× 70 0.8× 60 0.8× 14 683
Zhichao Wang China 15 418 1.2× 240 1.5× 252 1.9× 95 1.1× 69 1.0× 42 604
R. K. Haaland United States 12 358 1.0× 124 0.8× 101 0.8× 99 1.2× 26 0.4× 22 401
S. Lundquist Sweden 9 440 1.2× 100 0.6× 209 1.6× 70 0.8× 74 1.0× 21 526
C. Leteinturier France 10 389 1.1× 146 0.9× 267 2.0× 123 1.4× 42 0.6× 13 460
R. T. Arnold United States 7 202 0.6× 152 0.9× 52 0.4× 69 0.8× 108 1.5× 13 346
Richard J. Fisher United States 12 879 2.5× 336 2.1× 560 4.2× 256 3.0× 90 1.3× 26 954

Countries citing papers authored by Yunjiao Pu

Since Specialization
Citations

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

Fields of papers citing papers by Yunjiao Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunjiao Pu

This figure shows the co-authorship network connecting the top 25 collaborators of Yunjiao Pu. A scholar is included among the top collaborators of Yunjiao Pu 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 Yunjiao Pu. Yunjiao Pu 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.
Lu, Jingyu, Jinliang Li, Yü Liu, et al.. (2025). An Efficient Lightning Classifier Using a Self‐Supervised Learning Neural Network. Geophysical Research Letters. 52(12).
2.
Pu, Yunjiao & Steven A. Cummer. (2024). Imaging Step Formation in In‐Cloud Lightning Initial Development With VHF Interferometry. Geophysical Research Letters. 51(1). 6 indexed citations
3.
Pu, Yunjiao, Steven A. Cummer, Fanchao Lyu, et al.. (2023). Unsupervised Clustering and Supervised Machine Learning for Lightning Classification: Application to Identifying EIPs for Ground‐Based TGF Detection. Journal of Geophysical Research Atmospheres. 128(9). 6 indexed citations
4.
Zhu, Yanan, Jeff Lapierre, Michael J. Stock, et al.. (2023). Detecting Narrow Bipolar Events on a Global Scale with Machine Learning.
5.
Pu, Yunjiao & Steven A. Cummer. (2023). Imaging Step Formation in In-cloud Lightning Initial Development with VHF Interferometry. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
6.
7.
Cummer, Steven A., Yunjiao Pu, Olivier Chanrion, et al.. (2022). Transition in Optical and Radio Features During the Early Development of Negative Intracloud Leader. Geophysical Research Letters. 49(22). 2 indexed citations
8.
Pu, Yunjiao, Ningyu Liu, & Steven A. Cummer. (2022). Quantification of Electric Fields in Fast Breakdown During Lightning Initiation From VHF‐UHF Power Spectra. Geophysical Research Letters. 49(5). 5 indexed citations
9.
Cummer, Steven A., et al.. (2021). Lightning Initiation From Fast Negative Breakdown is Led by Positive Polarity Dominated Streamers. Geophysical Research Letters. 48(8). 28 indexed citations
10.
Li, Junfei, Alexandru Crivoi, Xiuyuan Peng, et al.. (2021). Three dimensional acoustic tweezers with vortex streaming. Communications Physics. 4(1). 62 indexed citations
11.
Zhang, Hongbo, Gaopeng Lu, Fanchao Lyu, et al.. (2021). On the Terrestrial Gamma‐Ray Flashes Preceding Narrow Bipolar Events. Geophysical Research Letters. 48(8). 15 indexed citations
12.
Pu, Yunjiao, Steven A. Cummer, & Ningyu Liu. (2021). VHF Radio Spectrum of a Positive Leader and Implications for Electric Fields. Geophysical Research Letters. 48(11). 17 indexed citations
13.
Pu, Yunjiao, et al.. (2020). A Satellite‐Detected Terrestrial Gamma Ray Flash Produced by a Cloud‐to‐Ground Lightning Leader. Geophysical Research Letters. 47(15). 12 indexed citations
14.
Pu, Yunjiao, Xiushu Qie, Rubin Jiang, et al.. (2019). Broadband Characteristics of Chaotic Pulse Trains Associated With Sequential Dart Leaders in a Rocket‐Triggered Lightning Flash. Journal of Geophysical Research Atmospheres. 124(7). 4074–4085. 11 indexed citations
15.
Pu, Yunjiao & Steven A. Cummer. (2019). Needles and Lightning Leader Dynamics Imaged with 100–200 MHz Broadband VHF Interferometry. Geophysical Research Letters. 46(22). 13556–13563. 52 indexed citations
16.
Qie, Xiushu, Shanfeng Yuan, Hongbo Zhang, et al.. (2019). Propagation of positive, negative, and recoil leaders in upward lightning flashes. Earth and Planetary Physics. 3(2). 102–110. 27 indexed citations
17.
Liu, Mingyuan, et al.. (2018). Characteristics of current pulses in rocket triggered lightning. 1–4. 1 indexed citations
18.
Zheng, Shu-xin, et al.. (2018). Physical design of a single-amplifier-driven proton linac injector for a synchrotron-based proton-therapy system in China. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 900. 32–39. 8 indexed citations
19.
Pu, Yunjiao, Rubin Jiang, Xiushu Qie, et al.. (2017). Upward negative leaders in positive triggered lightning: Stepping and branching in the initial stage. Geophysical Research Letters. 44(13). 7029–7035. 26 indexed citations
20.
Shi, Lei, et al.. (2003). Effect of Pb doping on the superconducting and magnetic resonance properties of Ru-1222. Materials Letters. 57(24-25). 3919–3923. 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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