Jun Bi

1.1k total citations
40 papers, 877 citations indexed

About

Jun Bi is a scholar working on Atmospheric Science, Civil and Structural Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Jun Bi has authored 40 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Atmospheric Science, 18 papers in Civil and Structural Engineering and 9 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Jun Bi's work include Climate change and permafrost (24 papers), Soil and Unsaturated Flow (17 papers) and Cryospheric studies and observations (13 papers). Jun Bi is often cited by papers focused on Climate change and permafrost (24 papers), Soil and Unsaturated Flow (17 papers) and Cryospheric studies and observations (13 papers). Jun Bi collaborates with scholars based in China, Australia and United States. Jun Bi's co-authors include Jianguo Lu, Mingyi Zhang, Wansheng Pei, Xiyin Zhang, Wenwu Chen, Jianping Huang, Yuanming Lai, Haiyan Wen, Sheng Qiang Yang and Jun Shi and has published in prestigious journals such as Geophysical Research Letters, Journal of Hydrology and Construction and Building Materials.

In The Last Decade

Jun Bi

39 papers receiving 857 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Bi China 16 619 363 215 147 119 40 877
I. N. Nassar Egypt 15 210 0.3× 451 1.2× 137 0.6× 137 0.9× 56 0.5× 30 732
Xiangtian Xu China 21 867 1.4× 508 1.4× 24 0.1× 85 0.6× 382 3.2× 45 1.2k
Yuncheng Mao China 13 319 0.5× 359 1.0× 27 0.1× 14 0.1× 141 1.2× 31 664
Yili Lu China 18 398 0.6× 534 1.5× 59 0.3× 374 2.5× 74 0.6× 49 848
Jidong Teng China 20 661 1.1× 793 2.2× 32 0.1× 21 0.1× 306 2.6× 59 1.2k
Wenbing Yu China 26 1.5k 2.4× 495 1.4× 21 0.1× 257 1.7× 308 2.6× 66 1.8k
Jean-Pierre Frangi France 13 193 0.3× 150 0.4× 181 0.8× 28 0.2× 74 0.6× 45 727
Zhenchao Li China 16 260 0.4× 73 0.2× 246 1.1× 104 0.7× 31 0.3× 60 667
Badronnisa Yusuf Malaysia 16 56 0.1× 210 0.6× 170 0.8× 122 0.8× 28 0.2× 69 745
Alma Schellart United Kingdom 18 237 0.4× 185 0.5× 405 1.9× 93 0.6× 13 0.1× 58 975

Countries citing papers authored by Jun Bi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Bi. A scholar is included among the top collaborators of Jun Bi 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 Jun Bi. Jun Bi 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.
Bi, Jun, et al.. (2025). Predicting the Unfrozen Water Content of Freezing Soils Using an Artificial Neural Network Model. Journal of Cold Regions Engineering. 40(1). 3 indexed citations
2.
Yang, Sheng Qiang, Mingyi Zhang, Wansheng Pei, et al.. (2025). Experimental investigation on the thermal stability and deformation behavior of a novel duct-ventilated embankment in a snowy permafrost region. International Communications in Heat and Mass Transfer. 164. 108774–108774. 3 indexed citations
3.
Bi, Jun, et al.. (2024). Predicting the volumetric heat capacity of freezing soils using the soil freezing characteristic curve. Journal of Hydrology. 645. 132151–132151. 9 indexed citations
4.
Bi, Jun, et al.. (2024). A thermal conductivity model for granular geomaterials with low porosity during the freezing process. International Journal of Heat and Mass Transfer. 233. 126050–126050. 11 indexed citations
5.
Bi, Jun, et al.. (2024). A new method to estimate the soil freezing characteristic curve. Cold Regions Science and Technology. 228. 104334–104334. 6 indexed citations
6.
Zhang, Qiyong, et al.. (2023). Salt distribution of earthen heritage site wall and its mechanism in northern China. Journal of Building Engineering. 76. 107154–107154. 12 indexed citations
7.
Bi, Jun, et al.. (2023). Prediction of the thermal conductivity of freezing soils using the soil freezing characteristic curve. International Communications in Heat and Mass Transfer. 149. 107078–107078. 25 indexed citations
8.
Wu, Zhijian, et al.. (2023). Analysis of seismic damage of a highway bridge during the 2021 Ms 7.4 earthquake in Maduo County, China. Natural Hazards. 117(3). 2419–2434. 4 indexed citations
9.
Bi, Jun, et al.. (2023). Study on soil freezing characteristic curve during a freezing-thawing process. Frontiers in Earth Science. 10. 8 indexed citations
10.
Bi, Jun, et al.. (2023). Assessment and enhancement of soil freezing characteristic curve estimation models. Cold Regions Science and Technology. 218. 104090–104090. 12 indexed citations
11.
Wen, Haiyan, Jun Bi, & Ding Guo. (2020). Calculation of the thermal conductivities of fine‐textured soils based on multiple linear regression and artificial neural networks. European Journal of Soil Science. 71(4). 568–579. 18 indexed citations
12.
Huang, Jianping, B. Chen, Y. Yi, et al.. (2019). Three‐Year Continuous Observation of Pure and Polluted Dust Aerosols Over Northwest China Using the Ground‐Based Lidar and Sun Photometer Data. Journal of Geophysical Research Atmospheres. 124(2). 1118–1131. 24 indexed citations
13.
Wen, Haiyan, Jun Bi, & Ding Guo. (2019). Evaluation of the calculated unfrozen water contents determined by different measured subzero temperature ranges. Cold Regions Science and Technology. 170. 102927–102927. 19 indexed citations
14.
Lu, Jianguo, Wansheng Pei, Xiyin Zhang, Jun Bi, & Tao Zhao. (2019). Evaluation of calculation models for the unfrozen water content of freezing soils. Journal of Hydrology. 575. 976–985. 57 indexed citations
15.
Bi, Jun, et al.. (2019). A modified calculation model for the saturation-dependent thermal conductivity of fine-textured soils. Results in Physics. 15. 102673–102673. 7 indexed citations
16.
Zhang, Mingyi, Jun Bi, Wenwu Chen, Xiyin Zhang, & Jianguo Lu. (2018). Evaluation of calculation models for the thermal conductivity of soils. International Communications in Heat and Mass Transfer. 94. 14–23. 63 indexed citations
17.
Liu, Wei, et al.. (2017). Fitting Performance of Different Models on Loess Particle Size Distribution Curves. Advances in Materials Science and Engineering. 2017. 1–15. 6 indexed citations
18.
Huang, Jianping, Guangyu Shi, Takumi Takamura, et al.. (2011). Aerosol optical properties and radiative effect determined from sky-radiometer over Loess Plateau of Northwest China. Atmospheric chemistry and physics. 11(22). 11455–11463. 99 indexed citations
19.
Jing, Xiaoping, Jianping Huang, Kaz Higuchi, et al.. (2010). The effects of clouds and aerosols on net ecosystem CO 2 exchange over semi-arid Loess Plateau of Northwest China. Atmospheric chemistry and physics. 10(17). 8205–8218. 44 indexed citations
20.
Zhang, Lanhui, Xueqian Cao, Bo Zhou, et al.. (2010). A case study of dust aerosol radiative properties over Lanzhou, China. Atmospheric chemistry and physics. 10(9). 4283–4293. 28 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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