Feng Qing

473 total citations
11 papers, 377 citations indexed

About

Feng Qing is a scholar working on Management, Monitoring, Policy and Law, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Feng Qing has authored 11 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management, Monitoring, Policy and Law, 10 papers in Global and Planetary Change and 5 papers in Atmospheric Science. Recurrent topics in Feng Qing's work include Landslides and related hazards (10 papers), Fire effects on ecosystems (9 papers) and Cryospheric studies and observations (5 papers). Feng Qing is often cited by papers focused on Landslides and related hazards (10 papers), Fire effects on ecosystems (9 papers) and Cryospheric studies and observations (5 papers). Feng Qing collaborates with scholars based in China and United Kingdom. Feng Qing's co-authors include Yan Zhao, Tianjun Qi, Guan Chen, Dongxia Yue, Xingmin Meng, Xingmin Meng, Xiaojun Su, Yajun Li, Peng Guo and Muqi Xiong and has published in prestigious journals such as Remote Sensing, Geomorphology and Engineering Geology.

In The Last Decade

Feng Qing

11 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Qing China 10 307 175 133 71 59 11 377
Tianjun Qi China 12 363 1.2× 176 1.0× 176 1.3× 60 0.8× 63 1.1× 22 426
Haydar Hussin Netherlands 7 345 1.1× 245 1.4× 123 0.9× 54 0.8× 43 0.7× 11 410
Clàudia Abancó Spain 12 535 1.7× 287 1.6× 164 1.2× 124 1.7× 98 1.7× 32 593
Carlos Bateira Portugal 10 247 0.8× 251 1.4× 105 0.8× 33 0.5× 43 0.7× 43 399
Emanuele Raso Italy 7 232 0.8× 161 0.9× 97 0.7× 36 0.5× 31 0.5× 11 307
D. Alkema Netherlands 9 220 0.7× 227 1.3× 81 0.6× 61 0.9× 105 1.8× 24 444
Mingfeng Deng China 12 247 0.8× 109 0.6× 165 1.2× 56 0.8× 59 1.0× 20 339
Yingtao Chen China 5 322 1.0× 315 1.8× 88 0.7× 35 0.5× 57 1.0× 11 504
P. Tréfois Belgium 8 243 0.8× 111 0.6× 88 0.7× 26 0.4× 42 0.7× 14 353
Joan Altimir Spain 4 383 1.2× 186 1.1× 99 0.7× 54 0.8× 84 1.4× 6 413

Countries citing papers authored by Feng Qing

Since Specialization
Citations

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

Fields of papers citing papers by Feng Qing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Qing

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

All Works

11 of 11 papers shown
1.
Zhao, Yan, Xingmin Meng, Tianjun Qi, et al.. (2023). Estimating the daily rainfall thresholds of regional debris flows in the Bailong River Basin, China. Bulletin of Engineering Geology and the Environment. 82(2). 11 indexed citations
2.
Xu, Lili, C. L. Philip Chen, Feng Qing, et al.. (2022). Graph-Represented Broad Learning System for Landslide Susceptibility Mapping in Alpine-Canyon Region. Remote Sensing. 14(12). 2773–2773. 7 indexed citations
3.
Zhao, Yan, Xingmin Meng, Tianjun Qi, et al.. (2022). Extracting more features from rainfall data to analyze the conditions triggering debris flows. Landslides. 19(9). 2091–2099. 18 indexed citations
4.
Qi, Tianjun, Yan Zhao, Xingmin Meng, et al.. (2021). Distribution Modeling and Factor Correlation Analysis of Landslides in the Large Fault Zone of the Western Qinling Mountains: A Machine Learning Algorithm. Remote Sensing. 13(24). 4990–4990. 22 indexed citations
5.
Zhao, Yan, Xingmin Meng, Tianjun Qi, et al.. (2021). AI-based rainfall prediction model for debris flows. Engineering Geology. 296. 106456–106456. 46 indexed citations
6.
Zhao, Yan, Xingmin Meng, Tianjun Qi, et al.. (2021). Modeling the Spatial Distribution of Debris Flows and Analysis of the Controlling Factors: A Machine Learning Approach. Remote Sensing. 13(23). 4813–4813. 26 indexed citations
7.
Qi, Tianjun, Xingmin Meng, Feng Qing, et al.. (2021). Distribution and characteristics of large landslides in a fault zone: A case study of the NE Qinghai-Tibet Plateau. Geomorphology. 379. 107592–107592. 58 indexed citations
8.
Qing, Feng, Yan Zhao, Xingmin Meng, et al.. (2020). Application of Machine Learning to Debris Flow Susceptibility Mapping along the China–Pakistan Karakoram Highway. Remote Sensing. 12(18). 2933–2933. 67 indexed citations
9.
Zhao, Yan, Xingmin Meng, Tianjun Qi, et al.. (2020). AI-based identification of low-frequency debris flow catchments in the Bailong River basin, China. Geomorphology. 359. 107125–107125. 59 indexed citations
10.
Wang, Xia, et al.. (2016). Assessing willingness to accept compensation for polluted farmlands: a contingent valuation method case study in northwest China. Environmental Earth Sciences. 75(3). 18 indexed citations
11.
Xiong, Muqi, Xingmin Meng, Peng Guo, et al.. (2016). Effectiveness of debris flow mitigation strategies in mountainous regions. Progress in Physical Geography Earth and Environment. 40(6). 768–793. 45 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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