Xiushu Qie

6.1k total citations
223 papers, 4.3k citations indexed

About

Xiushu Qie is a scholar working on Astronomy and Astrophysics, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Xiushu Qie has authored 223 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 187 papers in Astronomy and Astrophysics, 135 papers in Global and Planetary Change and 60 papers in Atmospheric Science. Recurrent topics in Xiushu Qie's work include Lightning and Electromagnetic Phenomena (185 papers), Fire effects on ecosystems (107 papers) and Meteorological Phenomena and Simulations (42 papers). Xiushu Qie is often cited by papers focused on Lightning and Electromagnetic Phenomena (185 papers), Fire effects on ecosystems (107 papers) and Meteorological Phenomena and Simulations (42 papers). Xiushu Qie collaborates with scholars based in China, United States and France. Xiushu Qie's co-authors include Rubin Jiang, Tie Yuan, Zhuling Sun, Dongxia Liu, Jing Yang, Xiangzhen Kong, Guangshu Zhang, Hongbo Zhang, Xueke Wu and Tinglong Zhang and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and Scientific Reports.

In The Last Decade

Xiushu Qie

213 papers receiving 4.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiushu Qie China 36 3.5k 2.8k 1.1k 919 555 223 4.3k
W. Rison United States 41 5.2k 1.5× 3.4k 1.2× 1.0k 0.9× 1.3k 1.4× 873 1.6× 125 5.8k
W. David Rust United States 41 4.0k 1.1× 3.1k 1.1× 1.3k 1.2× 699 0.8× 359 0.6× 100 4.6k
Maribeth Stolzenburg United States 32 2.8k 0.8× 1.5k 0.5× 390 0.4× 726 0.8× 508 0.9× 83 2.9k
P. R. Krehbiel United States 46 6.7k 1.9× 4.4k 1.6× 1.2k 1.1× 1.6k 1.7× 1.0k 1.8× 167 7.3k
Gerhard Diendorfer Switzerland 27 2.3k 0.7× 1.4k 0.5× 322 0.3× 1.0k 1.1× 332 0.6× 126 2.7k
M. A. Stanley United States 27 2.6k 0.7× 1.2k 0.4× 288 0.3× 595 0.6× 554 1.0× 66 2.8k
Hugh J. Christian United States 27 3.0k 0.8× 2.9k 1.0× 1.6k 1.5× 288 0.3× 155 0.3× 61 4.0k
Donald R. MacGorman United States 46 4.4k 1.2× 4.6k 1.6× 2.8k 2.5× 306 0.3× 212 0.4× 103 5.7k
Gaopeng Lu China 28 2.1k 0.6× 1.1k 0.4× 306 0.3× 531 0.6× 413 0.7× 147 2.4k
W. P. Winn United States 23 1.8k 0.5× 1.2k 0.4× 463 0.4× 637 0.7× 269 0.5× 49 2.3k

Countries citing papers authored by Xiushu Qie

Since Specialization
Citations

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

Fields of papers citing papers by Xiushu Qie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiushu Qie

This figure shows the co-authorship network connecting the top 25 collaborators of Xiushu Qie. A scholar is included among the top collaborators of Xiushu Qie 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 Xiushu Qie. Xiushu Qie 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.
Qie, Xiushu, Zhuling Sun, Rubin Jiang, et al.. (2024). Upgraded Low-Frequency 3D Lightning Mapping System in North China and Observations on Lightning Initiation Processes. Remote Sensing. 16(9). 1608–1608. 3 indexed citations
3.
Yuan, Shanfeng, et al.. (2023). Lightning VHF Radiation Mapping Method for an Irregular Short‐Baseline Array. Earth and Space Science. 10(5). 4 indexed citations
4.
Qie, Xiushu, et al.. (2023). Transient Luminous Events and Their Relationship to Lightning Strokes Over the Tibetan Plateau and Its Comparison Regions. Journal of Geophysical Research Atmospheres. 128(8). 5 indexed citations
5.
Lu, Gaopeng, Xiao Li, Hongbo Zhang, et al.. (2023). Low Frequency Magnetic Field Observations of Natural Positive Leaders Featuring Stepwise Propagation. Geophysical Research Letters. 50(20). 3 indexed citations
6.
Qie, Xiushu, Kai Qie, Kexin Zhu, et al.. (2022). Significantly Increased Lightning Activity Over the Tibetan Plateau and Its Relation to Thunderstorm Genesis. Geophysical Research Letters. 49(16). 22 indexed citations
7.
Sun, Zhuling, Xiushu Qie, Mingyuan Liu, Rubin Jiang, & Hongbo Zhang. (2022). Three-Dimensional Mapping on Lightning Discharge Processes Using Two VHF Broadband Interferometers. Remote Sensing. 14(24). 6378–6378. 6 indexed citations
8.
Chen, Zhixiong, Juanzhen Sun, Xiushu Qie, et al.. (2020). A Method to Update Model Kinematic States by Assimilating Satellite‐Observed Total Lightning Data to Improve Convective Analysis and Forecasting. Journal of Geophysical Research Atmospheres. 125(22). 21 indexed citations
9.
Jiang, Rubin, Xiushu Qie, Hongbo Zhang, et al.. (2020). Luminous Crown Residual Vs. Bright Space Segment: Characteristical Structures for the Intermittent Positive and Negative Leaders of Triggered Lightning. Geophysical Research Letters. 47(21). 30 indexed citations
10.
Lynn, Barry, Yoav Yair, Jacob Shpund, et al.. (2020). Using Factor Separation to Elucidate the Respective Contributions of Desert Dust and Urban Pollution to the 4 January 2020 Tel Aviv Lightning and Flash Flood Disaster. Journal of Geophysical Research Atmospheres. 125(24). 11 indexed citations
11.
Qie, Xiushu, et al.. (2019). Lightning and charge structure in thunderstorm over Tibetan Plateau. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
12.
Xiao, Xia, et al.. (2018). A new lightning assimilation technique based on 4DVAR. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
13.
Yuan, Ping, et al.. (2012). Analysis on Physical Characteristic of Lightning with Multiple Return Strokes. Gaoyuan qixiang. 31(1). 218–222. 1 indexed citations
14.
Meng, Qing, et al.. (2008). Analysis of Channel Luminosity Characteristics in Rocket-Triggered Lightning. 22(3). 362–374. 8 indexed citations
15.
Zhou, Yunjun, Xiushu Qie, & Tie Yuan. (2004). Spatial and Temporal Distributions of NO_X Produced by Lightning in East Asian Region. Gaoyuan qixiang. 23(5). 667–672. 2 indexed citations
16.
Qie, Xiushu, et al.. (2003). Optical and Electrical Characteristics of the Cloud-to-Ground Lightning Flash with Two-Striking-Point in the First Return-Stroke. Gaoyuan qixiang. 22(3). 259–267. 2 indexed citations
17.
Qie, Xiushu & Ralf Toumi. (2003). Lightning Activities on Qinghai-Xizang Plateau as Observed by Satellite Based Lightning Imaging Sensor. Gaoyuan qixiang. 22(3). 288–294. 1 indexed citations
18.
Qie, Xiushu, Guangshu Zhang, Yijun Zhang, et al.. (2003). Observation on the Summer Lightning Discharge in the Northeastern Verge of Qinghai-Xizang Plateau. Gaoyuan qixiang. 22(3). 209–216. 6 indexed citations
19.
Zhou, Yunjun & Xiushu Qie. (2002). Mechanism and Estimation of Lightning-Generated NO_X in Chinese Inland Area. Gaoyuan qixiang. 21(5). 501–508. 5 indexed citations
20.
Qie, Xiushu. (1998). INITIAL PROCESS DURING ONE NEGATIVE GROUND LIGHTNING DISCHARGE IN ZHONGCHUAN AREA. Gaoyuan qixiang. 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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