Ling Peng

2.1k total citations · 2 hit papers
20 papers, 1.7k citations indexed

About

Ling Peng is a scholar working on Management, Monitoring, Policy and Law, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Ling Peng has authored 20 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Management, Monitoring, Policy and Law, 12 papers in Global and Planetary Change and 9 papers in Atmospheric Science. Recurrent topics in Ling Peng's work include Landslides and related hazards (16 papers), Flood Risk Assessment and Management (11 papers) and Cryospheric studies and observations (7 papers). Ling Peng is often cited by papers focused on Landslides and related hazards (16 papers), Flood Risk Assessment and Management (11 papers) and Cryospheric studies and observations (7 papers). Ling Peng collaborates with scholars based in China, Austria and Australia. Ling Peng's co-authors include Yi Wang, Zhice Fang, Haoyuan Hong, Ruiqing Niu, Xueling Wu, Runqing Ye, Mao Wang, Yannan Zhao, Bo Huang and Tao Chen and has published in prestigious journals such as Journal of Hydrology, Remote Sensing and Geomorphology.

In The Last Decade

Ling Peng

20 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping

2020 257 citations Zhice Fang, Yi Wang et al. Computers & Geosciences profile →
Comparative study of landslide susceptibility mapping with different recurrent neural networks

2020 214 citations Yi Wang, Zhice Fang et al. Computers & Geosciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ling Peng China	15	1.2k	958	454	291	282	20	1.7k
Deliang Sun China	17	1.2k 1.0×	808 0.8×	461 1.0×	413 1.4×	321 1.1×	35	1.9k
Sansar Raj Meena Italy	22	1.7k 1.4×	1.1k 1.2×	581 1.3×	270 0.9×	236 0.8×	50	2.3k
Abdelaziz Merghadi Algeria	9	1.8k 1.4×	1.2k 1.3×	614 1.4×	439 1.5×	428 1.5×	12	2.3k
Zhice Fang China	18	1.3k 1.1×	1.4k 1.4×	596 1.3×	272 0.9×	292 1.0×	34	2.1k
Trần Anh Tuấn Vietnam	9	889 0.7×	713 0.7×	271 0.6×	213 0.7×	224 0.8×	38	1.4k
Abhirup Dikshit Australia	26	878 0.7×	1.3k 1.3×	439 1.0×	178 0.6×	266 0.9×	38	2.0k
M. B. Dholakia India	13	1.4k 1.1×	1.3k 1.3×	404 0.9×	292 1.0×	391 1.4×	19	2.1k
Xiaoshen Xie China	10	1.1k 0.9×	1.2k 1.3×	331 0.7×	314 1.1×	316 1.1×	19	2.0k
Jianquan Ma China	9	834 0.7×	716 0.7×	228 0.5×	191 0.7×	222 0.8×	23	1.3k
Maher Ibrahim Sameen Australia	21	742 0.6×	712 0.7×	294 0.6×	274 0.9×	187 0.7×	35	1.6k

Countries citing papers authored by Ling Peng

Since Specialization

Citations

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

Fields of papers citing papers by Ling Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Peng

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Peng, Ling, et al.. (2025). TwoStream-EQT: A microseismic phase picking model combining time and frequency domain inputs. Computers & Geosciences. 204. 105991–105991. 1 indexed citations

Li, Lei, et al.. (2024). Microseismic Velocity Inversion Based on Deep Learning and Data Augmentation. Applied Sciences. 14(5). 2194–2194. 4 indexed citations

Fang, Zhice, et al.. (2022). Comparison of general kernel, multiple kernel, infinite ensemble and semi-supervised support vector machines for landslide susceptibility prediction. Stochastic Environmental Research and Risk Assessment. 36(10). 3535–3556. 22 indexed citations

Fang, Zhice, Yi Wang, Ruiqing Niu, & Ling Peng. (2021). Landslide Susceptibility Prediction Based on Positive Unlabeled Learning Coupled With Adaptive Sampling. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 11581–11592. 24 indexed citations

Fang, Zhice, et al.. (2021). Landslide Susceptibility Mapping Using Rotation Forest Ensemble Technique with Different Decision Trees in the Three Gorges Reservoir Area, China. Remote Sensing. 13(2). 238–238. 43 indexed citations

Fang, Zhice, Yi Wang, Ling Peng, & Haoyuan Hong. (2020). A comparative study of heterogeneous ensemble-learning techniques for landslide susceptibility mapping. International Journal of Geographical Information Systems. 35(2). 321–347. 197 indexed citations

Chen, Tao, et al.. (2020). Mapping landslide susceptibility at the Three Gorges Reservoir, China, using gradient boosting decision tree, random forest and information value models. Journal of Mountain Science. 17(3). 670–685. 104 indexed citations

Wang, Yi, Zhice Fang, Mao Wang, Ling Peng, & Haoyuan Hong. (2020). Comparative study of landslide susceptibility mapping with different recurrent neural networks. Computers & Geosciences. 138. 104445–104445. 214 indexed citations breakdown →

Fang, Zhice, Yi Wang, Ling Peng, & Haoyuan Hong. (2020). Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping. Computers & Geosciences. 139. 104470–104470. 257 indexed citations breakdown →

10.

Fang, Zhice, Yi Wang, Ling Peng, & Haoyuan Hong. (2020). Predicting flood susceptibility using LSTM neural networks. Journal of Hydrology. 594. 125734–125734. 192 indexed citations

11.

Song, Yingxu, Ruiqing Niu, Shiluo Xu, et al.. (2018). Landslide Susceptibility Mapping Based on Weighted Gradient Boosting Decision Tree in Wanzhou Section of the Three Gorges Reservoir Area (China). ISPRS International Journal of Geo-Information. 8(1). 4–4. 86 indexed citations

12.

Wang, Qian, Yi Wang, Ruiqing Niu, & Ling Peng. (2017). Integration of Information Theory, K-Means Cluster Analysis and the Logistic Regression Model for Landslide Susceptibility Mapping in the Three Gorges Area, China. Remote Sensing. 9(9). 938–938. 85 indexed citations

13.

Chi, Tianhe, et al.. (2016). Classification of GF-1 Remote Sensing Image Based on Random Forests for Urban Land-use. Bulletin of Surveying and Mapping. 73. 7 indexed citations

14.

Zhang, Miao, et al.. (2016). Landslide susceptibility mapping based on global and local logistic regression models in Three Gorges Reservoir area, China. Environmental Earth Sciences. 75(11). 26 indexed citations

15.

Peng, Ling, et al.. (2015). A rapid extraction of landslide disaster information research based on GF-1 image. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9669. 96690C–96690C. 2 indexed citations

16.

Peng, Ling, et al.. (2014). Quantitative risk analysis for landslides: the case of the Three Gorges area, China. Landslides. 12(5). 943–960. 68 indexed citations

17.

Niu, Ruiqing, et al.. (2014). Susceptibility Assessment of Landslides Triggered by the Lushan Earthquake, April 20, 2013, China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(9). 3979–3992. 33 indexed citations

18.

Wu, Xueling, Ruiqing Niu, Fu Ren, & Ling Peng. (2013). Landslide susceptibility mapping using rough sets and back-propagation neural networks in the Three Gorges, China. Environmental Earth Sciences. 70(3). 1307–1318. 54 indexed citations

19.

Zhao, Yan, et al.. (2013). Prediction of Landslide Displacement Based on Kernel Principal Component Analysis and Neural Network-Markov Chain. Advanced materials research. 726-731. 1512–1520. 6 indexed citations

20.

Peng, Ling, Ruiqing Niu, Bo Huang, et al.. (2013). Landslide susceptibility mapping based on rough set theory and support vector machines: A case of the Three Gorges area, China. Geomorphology. 204. 287–301. 230 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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