Tianjun Qi

624 total citations
22 papers, 426 citations indexed

About

Tianjun Qi is a scholar working on Management, Monitoring, Policy and Law, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Tianjun Qi has authored 22 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Management, Monitoring, Policy and Law, 14 papers in Global and Planetary Change and 13 papers in Atmospheric Science. Recurrent topics in Tianjun Qi's work include Landslides and related hazards (22 papers), Cryospheric studies and observations (12 papers) and Fire effects on ecosystems (10 papers). Tianjun Qi is often cited by papers focused on Landslides and related hazards (22 papers), Cryospheric studies and observations (12 papers) and Fire effects on ecosystems (10 papers). Tianjun Qi collaborates with scholars based in China, United Kingdom and Ukraine. Tianjun Qi's co-authors include Yan Zhao, Feng Qing, Guan Chen, Dongxia Yue, Xingmin Meng, Xingmin Meng, Xiaojun Su, Yajun Li, Tom Dijkstra and Peng Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and Geomorphology.

In The Last Decade

Tianjun Qi

22 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tianjun Qi China 12 363 176 176 63 60 22 426
Feng Qing China 10 307 0.8× 133 0.8× 175 1.0× 59 0.9× 71 1.2× 11 377
Marco Pizziolo Italy 8 403 1.1× 211 1.2× 209 1.2× 73 1.2× 53 0.9× 13 468
Ivanna Penna Norway 12 392 1.1× 232 1.3× 104 0.6× 63 1.0× 35 0.6× 31 489
Claire Dashwood United Kingdom 9 398 1.1× 189 1.1× 156 0.9× 50 0.8× 21 0.3× 23 504
Claudio Puglisi Italy 9 291 0.8× 94 0.5× 134 0.8× 60 1.0× 40 0.7× 13 371
Yanqian Pei China 15 512 1.4× 290 1.6× 165 0.9× 84 1.3× 40 0.7× 23 620
Roberta Pellicani Italy 11 329 0.9× 135 0.8× 203 1.2× 47 0.7× 22 0.4× 18 455
Mateja Jemec Auflič Slovenia 11 281 0.8× 116 0.7× 131 0.7× 54 0.9× 19 0.3× 26 367
Mihai Micu Romania 13 443 1.2× 160 0.9× 257 1.5× 50 0.8× 26 0.4× 31 512
Shin-ichiro Hayashi Japan 5 298 0.8× 130 0.7× 125 0.7× 50 0.8× 46 0.8× 8 344

Countries citing papers authored by Tianjun Qi

Since Specialization
Citations

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

Fields of papers citing papers by Tianjun Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianjun Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Tianjun Qi. A scholar is included among the top collaborators of Tianjun Qi 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 Tianjun Qi. Tianjun Qi 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.
Li, Yajun, Yunfei Huang, W. R. Zhao, et al.. (2025). Debris flow forecasting: disastrous rainfall threshold matters. Landslides. 22(7). 2461–2474. 2 indexed citations
2.
Zhao, Yan, Yajun Li, Yirui Wang, et al.. (2025). A new rainfall Intensity−Duration threshold curve for debris flows using comprehensive rainfall intensity. Engineering Geology. 347. 107949–107949. 2 indexed citations
3.
Qi, Tianjun, Xingmin Meng, Jing Chang, et al.. (2024). Landslide utilization and driving mechanisms in alpine gorge areas of the eastern Qinghai–Tibet Plateau. CATENA. 249. 108677–108677. 2 indexed citations
4.
Zeng, Runqiang, Zhang Zong-lin, Xingmin Meng, et al.. (2024). Landslide Mapping and Causes of Landslides in the China–Nepal Transportation Corridor Based on Remote Sensing Technology. Remote Sensing. 16(2). 356–356. 7 indexed citations
5.
Qi, Tianjun, Xingmin Meng, Yan Zhao, & Yajun Li. (2024). Ancient very large and giant landslides on the eastern margin of the Qinghai–Tibet Plateau, China. Engineering Geology. 346. 107889–107889. 4 indexed citations
6.
Qi, Tianjun, Xingmin Meng, & Yan Zhao. (2024). Landslide Susceptibility Assessment in Active Tectonic Areas Using Machine Learning Algorithms. Remote Sensing. 16(15). 2724–2724. 2 indexed citations
7.
8.
Qi, Tianjun, Xingmin Meng, Yan Zhao, et al.. (2023). Formation and distribution of landslides controlled by thrust-strike-slip fault zones and fluvial erosion in the Western Qinling Mountains, China. Engineering Geology. 323. 107209–107209. 18 indexed citations
9.
10.
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
11.
Meng, Xingmin, Tianjun Qi, Tom Dijkstra, et al.. (2022). Rapid onset hazards, fault-controlled landslides and multi-method emergency decision-making. Journal of Mountain Science. 19(5). 1357–1369. 11 indexed citations
12.
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
13.
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
14.
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
15.
Meng, Xingmin, Tianjun Qi, Yan Zhao, et al.. (2021). Deformation of the Zhangjiazhuang high-speed railway tunnel: an analysis of causal mechanisms using geomorphological surveys and D-InSAR monitoring. Journal of Mountain Science. 18(7). 1920–1936. 15 indexed citations
16.
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
17.
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
18.
Qi, Tianjun, Yan Zhao, Xingmin Meng, Guan Chen, & Tom Dijkstra. (2021). AI-Based Susceptibility Analysis of Shallow Landslides Induced by Heavy Rainfall in Tianshui, China. Remote Sensing. 13(9). 1819–1819. 33 indexed citations
19.
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
20.
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

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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