Huawei Pi

580 total citations
35 papers, 458 citations indexed

About

Huawei Pi is a scholar working on Earth-Surface Processes, Soil Science and Atmospheric Science. According to data from OpenAlex, Huawei Pi has authored 35 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Earth-Surface Processes, 23 papers in Soil Science and 11 papers in Atmospheric Science. Recurrent topics in Huawei Pi's work include Aeolian processes and effects (29 papers), Soil erosion and sediment transport (23 papers) and Atmospheric chemistry and aerosols (5 papers). Huawei Pi is often cited by papers focused on Aeolian processes and effects (29 papers), Soil erosion and sediment transport (23 papers) and Atmospheric chemistry and aerosols (5 papers). Huawei Pi collaborates with scholars based in United States, China and South Korea. Huawei Pi's co-authors include Brenton Sharratt, Jiaqiang Lei, David R. Huggins, Gary Feng, Nicholas P. Webb, Xinhu Li, William F. Schillinger, Craig Cogger, Xiaoxiao Zhang and Zheng Zheng and has published in prestigious journals such as Scientific Reports, New Phytologist and Soil Science Society of America Journal.

In The Last Decade

Huawei Pi

33 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huawei Pi United States 14 309 266 155 114 78 35 458
Scott Van Pelt United States 9 260 0.8× 237 0.9× 169 1.1× 175 1.5× 94 1.2× 13 531
Na Zhou China 12 320 1.0× 184 0.7× 278 1.8× 222 1.9× 91 1.2× 28 548
Heqiang Du China 14 328 1.1× 358 1.3× 189 1.2× 240 2.1× 158 2.0× 35 658
L. Gomes France 6 329 1.1× 222 0.8× 193 1.2× 148 1.3× 30 0.4× 7 435
Maeva Sabre France 7 143 0.5× 147 0.6× 119 0.8× 158 1.4× 31 0.4× 9 364
Abbas Miri Iran 15 443 1.4× 187 0.7× 294 1.9× 277 2.4× 54 0.7× 31 703
M R Ekhtesasi Iran 7 89 0.3× 80 0.3× 106 0.7× 213 1.9× 85 1.1× 39 392
J. F. Kjelgaard United States 10 114 0.4× 162 0.6× 106 0.7× 306 2.7× 37 0.5× 10 450
Ichiro Taniyama Japan 11 108 0.3× 213 0.8× 70 0.5× 197 1.7× 118 1.5× 20 547

Countries citing papers authored by Huawei Pi

Since Specialization
Citations

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

Fields of papers citing papers by Huawei Pi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huawei Pi

This figure shows the co-authorship network connecting the top 25 collaborators of Huawei Pi. A scholar is included among the top collaborators of Huawei Pi 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 Huawei Pi. Huawei Pi 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.
Pi, Huawei, et al.. (2025). Dust Event Variations Between China's Different Climate Zones. Journal of Geophysical Research Atmospheres. 130(11).
2.
Li, Qing, Sen Meng, Yangyan Zhou, et al.. (2025). The miR169z‐NF‐YA5‐GPDHc1 module improves drought tolerance by increasing NAD+ levels to inhibit ROS production in Populus. New Phytologist. 248(4). 1822–1840.
3.
Pi, Huawei, Xiuli Zhang, Sisi Li, & Nicholas P. Webb. (2024). Influence of crop rotation, irrigation, fertilization, and tillage on the aggregate property and soil wind erosion potential in the floodplain of the Yellow River. Aeolian Research. 67-69. 100925–100925. 2 indexed citations
4.
Pi, Huawei, et al.. (2024). Interaction effects of various impact factors on the snow over the Yangtze and Yellow River Headwater Region, China. Ecological Indicators. 166. 112330–112330. 2 indexed citations
5.
Zhang, Xiuli, et al.. (2024). Evaluating the ability of the Wind Erosion Prediction System (WEPS) to simulate near-surface wind speeds in the Inland Pacific Northwest, USA. Scientific Reports. 14(1). 23712–23712. 1 indexed citations
6.
Meng, Xiaoyu, Huawei Pi, Xin Gao, Panxing He, & Jiaqiang Lei. (2022). A high‐accuracy vegetation restoration potential mapping model integrating similar habitat and machine learning. Land Degradation and Development. 34(4). 1208–1224. 13 indexed citations
7.
Pi, Huawei, Nicholas P. Webb, David R. Huggins, Brenton Sharratt, & Sisi Li. (2022). Performance of the single‐event wind erosion evaluation program (SWEEP) model in assessing the impact of crop rotation, green manure, fertilizer, and tillage on wind erosion. Land Degradation and Development. 33(11). 1787–1798. 3 indexed citations
8.
Pi, Huawei, Nicholas P. Webb, David R. Huggins, & Sisi Li. (2022). Effects of secondary soil aggregates on threshold friction velocity and wind erosion. Land Degradation and Development. 34(1). 16–27. 5 indexed citations
9.
Pi, Huawei, Nicholas P. Webb, David R. Huggins, & Brenton Sharratt. (2021). Influence of physical crust cover on the wind erodibility of soils in the inland Pacific Northwest, USA. Earth Surface Processes and Landforms. 46(8). 1445–1457. 7 indexed citations
10.
Pi, Huawei, David R. Huggins, & Brenton Sharratt. (2020). Wind erosion of soil influenced by clay amendment in the inland Pacific Northwest, USA. Land Degradation and Development. 32(1). 241–255. 21 indexed citations
11.
Pi, Huawei & Brenton Sharratt. (2019). Threshold Friction Velocity Influenced by the Crust Cover of Soils in the Columbia Plateau. Soil Science Society of America Journal. 83(1). 232–241. 12 indexed citations
12.
Sharratt, Brenton & Huawei Pi. (2018). Field and laboratory comparison of PM10 instruments in high winds. Aeolian Research. 32. 42–52. 6 indexed citations
13.
Pi, Huawei, Brenton Sharratt, & Jiaqiang Lei. (2018). Wind erosion and dust emissions in central Asia: Spatiotemporal simulations in a typical dust year. Earth Surface Processes and Landforms. 44(2). 521–534. 25 indexed citations
14.
Pi, Huawei, Brenton Sharratt, & Jiaqiang Lei. (2017). Windblown sediment transport and loss in a desert–oasis ecotone in the Tarim Basin. Scientific Reports. 7(1). 7723–7723. 23 indexed citations
15.
Pi, Huawei & Brenton Sharratt. (2017). Evaluation of the RWEQ and SWEEP in simulating soil and PM10 loss from a portable wind tunnel. Soil and Tillage Research. 170. 94–103. 29 indexed citations
16.
Pi, Huawei, Brenton Sharratt, Gary Feng, & Jiaqiang Lei. (2017). Evaluation of two empirical wind erosion models in arid and semi-arid regions of China and the USA. Environmental Modelling & Software. 91. 28–46. 56 indexed citations
17.
Zhang, Xiaoxiao, Xi Chen, Yuhong Guo, et al.. (2014). Ambient TSP concentration and dustfall variation in Urumqi, China. Journal of Arid Land. 6(6). 668–677. 10 indexed citations
18.
Pi, Huawei, et al.. (2014). Validation of SWEEP for Contrasting Agricultural Land Use Types in the Tarim Basin. Soil Science. 179(9). 433–445. 17 indexed citations
19.
Li, Xinhu, et al.. (2014). Soil Wind Erodibility Based on Dry Aggregate‐Size Distribution in the Tarim Basin. Soil Science Society of America Journal. 78(6). 2009–2016. 15 indexed citations
20.
Pi, Huawei, et al.. (2014). Performance of the SWEEP Model Affected by Estimates of Threshold Friction Velocity. Transactions of the ASABE. 1675–1685. 5 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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