Pengju An

930 total citations · 1 hit paper
30 papers, 656 citations indexed

About

Pengju An is a scholar working on Civil and Structural Engineering, Management, Monitoring, Policy and Law and Geology. According to data from OpenAlex, Pengju An has authored 30 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Civil and Structural Engineering, 16 papers in Management, Monitoring, Policy and Law and 11 papers in Geology. Recurrent topics in Pengju An's work include Landslides and related hazards (16 papers), 3D Surveying and Cultural Heritage (11 papers) and Geotechnical Engineering and Analysis (9 papers). Pengju An is often cited by papers focused on Landslides and related hazards (16 papers), 3D Surveying and Cultural Heritage (11 papers) and Geotechnical Engineering and Analysis (9 papers). Pengju An collaborates with scholars based in China, Hong Kong and Australia. Pengju An's co-authors include Kun Fang, Huiming Tang, Changdong Li, Xuexue Su, Bocheng Zhang, Yi Zhang, Sha Lu, Rui Yong, Changshuo Wang and Shigui Du and has published in prestigious journals such as Scientific Reports, Sensors and Remote Sensing.

In The Last Decade

Pengju An

28 papers receiving 649 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.

Centrifuge modelling of landslides and landslide hazard mitigation: A review

2022 184 citations Kun Fang, Huiming Tang et al. profile →

Peers

Pengju An

MMPL

CSE

SRRQ

MM

GEOLO

Shunchao Qi China

Kun Fang China

Charalampos Saroglou Greece

M. Migliazza Italy

Gessica Umili Italy

Ebrahim Asghari-Kaljahi Iran

Liangqing Wang China

Giorgia Giardina Netherlands

Andrea Segalini Italy

Akbar Ghazifard Iran

Shunchao Qi China

Pengju An

500 ×1.2

MMPL

614 ×1.7

CSE

268 ×1.2

SRRQ

163 ×1.2

MM

61 ×0.5

GEOLO

Citations per year, relative to Pengju An Pengju An (= 1×) peers Shunchao Qi

Countries citing papers authored by Pengju An

Since Specialization

Citations

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

Fields of papers citing papers by Pengju An

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengju An

This figure shows the co-authorship network connecting the top 25 collaborators of Pengju An. A scholar is included among the top collaborators of Pengju An 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 Pengju An. Pengju An 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

1.

Fang, Kun, et al.. (2025). New insights into convergent slope instability: Physical modeling and stability analysis. Engineering Geology. 356. 108295–108295. 3 indexed citations

2.

Shi, Jiayu, Yuan Zhang, Mengdi Zhao, et al.. (2025). RoboBrain: A Unified Brain Model for Robotic Manipulation from Abstract to Concrete. 1724–1734. 5 indexed citations

3.

Fang, Kun, Huiming Tang, Pengju An, et al.. (2025). A novel multi-smartphone automatic measurement system for soil shrinkage characteristics in shrinkage test. Measurement. 256. 118487–118487.

4.

Li, Weibo, et al.. (2025). Freeze-thaw migration behavior of scree deposits in the cold regions: Insight from physical model test. Engineering Geology. 350. 108018–108018. 2 indexed citations

5.

An, Pengju, et al.. (2024). Shear strength and permeability in the sliding zone soil of reservoir landslides: Insights into the seepage-shear coupling effect. Journal of Rock Mechanics and Geotechnical Engineering. 17(4). 2031–2040. 3 indexed citations

6.

An, Pengju, et al.. (2024). Utilizing crowdsourced data for timely investigation of catastrophic landslide accidents: a case study of the coal mine collapse in inner Mongolia, China. Bulletin of Engineering Geology and the Environment. 83(9). 5 indexed citations

7.

Tang, Huiming, et al.. (2024). Insight into the Permeability and Microstructure Evolution Mechanism of the Sliding Zone Soil: A Case Study from the Huangtupo Landslide, Three Gorges Reservoir, China. Journal of Earth Science. 35(3). 941–954. 14 indexed citations

8.

An, Pengju, et al.. (2024). Experimental and numerical study of shear strength on the slide zone soil by the coupling of seepage and shear test. Scientific Reports. 14(1). 25086–25086. 3 indexed citations

9.

Tang, Huiming, et al.. (2024). A physical model test on a seepage-initiation-braking-type (SIBT) landslide under the coupling of rainfall and water level fluctuation. Acta Geotechnica. 20(1). 37–54. 4 indexed citations

10.

Fang, Kun, et al.. (2024). Landslide model tests with a miniature 2D principal stress sensor. Journal of Rock Mechanics and Geotechnical Engineering. 17(1). 94–105. 7 indexed citations

11.

Li, Weibo, et al.. (2023). Insight into the crack characteristics and mechanisms of retrogressive slope failures: A large-scale model test. Engineering Geology. 327. 107360–107360. 23 indexed citations

12.

Fang, Kun, et al.. (2023). A quick and low-cost smartphone photogrammetry method for obtaining 3D particle size and shape. Engineering Geology. 322. 107170–107170. 44 indexed citations

13.

Fang, Kun, et al.. (2023). 3D tunnel reconstruction and visualization through multi-smartphone photogrammetry. Measurement. 223. 113764–113764. 8 indexed citations

14.

An, Pengju, Rui Yong, Shigui Du, et al.. (2023). Exploring the potential of smartphone photogrammetry for field measurement of joint roughness. Measurement. 225. 114055–114055. 14 indexed citations

15.

Du, Shigui, et al.. (2023). Drone Photogrammetry for Accurate and Efficient Rock Joint Roughness Assessment on Steep and Inaccessible Slopes. Remote Sensing. 15(19). 4880–4880. 9 indexed citations

16.

Fang, Kun, et al.. (2023). Study on Geomechanical and Physical Models of Necking-Type Slopes. Journal of Earth Science. 34(3). 924–934. 9 indexed citations

17.

Fang, Kun, et al.. (2022). Model test on deformation and failure behaviour of arching-type slope under excavation condition. Engineering Geology. 302. 106628–106628. 42 indexed citations

18.

Fang, Kun, et al.. (2022). Comprehensive assessment of the performance of a multismartphone measurement system for landslide model test. Landslides. 20(4). 845–864. 16 indexed citations

19.

An, Pengju, et al.. (2021). Assessment of the trueness and precision of smartphone photogrammetry for rock joint roughness measurement. Measurement. 188. 110598–110598. 25 indexed citations

20.

An, Pengju, et al.. (2021). An Improved Calibration Method to Determine the Strain Coefficient for Optical Fibre Sensing Cables. Photonics. 8(10). 429–429. 2 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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