Bingcheng Wan

493 total citations
25 papers, 313 citations indexed

About

Bingcheng Wan is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Bingcheng Wan has authored 25 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Atmospheric Science, 16 papers in Global and Planetary Change and 8 papers in Environmental Engineering. Recurrent topics in Bingcheng Wan's work include Meteorological Phenomena and Simulations (9 papers), Climate variability and models (8 papers) and Urban Heat Island Mitigation (7 papers). Bingcheng Wan is often cited by papers focused on Meteorological Phenomena and Simulations (9 papers), Climate variability and models (8 papers) and Urban Heat Island Mitigation (7 papers). Bingcheng Wan collaborates with scholars based in China, United States and Hong Kong. Bingcheng Wan's co-authors include Zhiqiu Gao, Zhanqing Li, Fei Chen, Maureen Cribb, Mengjiao Jiang, Chungu Lu, Linlin Wang, Dan Li, Mengya Wang and Wenjie Zhang and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Journal of Hydrology.

In The Last Decade

Bingcheng Wan

23 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bingcheng Wan China 10 233 204 83 49 19 25 313
Maria João Carvalho Portugal 6 240 1.0× 182 0.9× 60 0.7× 41 0.8× 16 0.8× 11 330
C. Ochoa Mexico 8 219 0.9× 184 0.9× 81 1.0× 110 2.2× 26 1.4× 18 317
Nick Earl Australia 8 299 1.3× 222 1.1× 63 0.8× 34 0.7× 6 0.3× 13 374
Eric Kemp United States 10 265 1.1× 291 1.4× 64 0.8× 26 0.5× 6 0.3× 21 357
Xiangde Xu China 8 191 0.8× 330 1.6× 113 1.4× 152 3.1× 8 0.4× 13 399
Panfeng Zhang China 12 354 1.5× 251 1.2× 217 2.6× 93 1.9× 14 0.7× 37 491
Sahidul Islam India 10 251 1.1× 212 1.0× 144 1.7× 113 2.3× 5 0.3× 28 357
Roman Nuterman Denmark 12 152 0.7× 255 1.3× 92 1.1× 102 2.1× 17 0.9× 37 353
Yining Ma China 12 219 0.9× 236 1.2× 77 0.9× 135 2.8× 27 1.4× 30 394

Countries citing papers authored by Bingcheng Wan

Since Specialization
Citations

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

Fields of papers citing papers by Bingcheng Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingcheng Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Bingcheng Wan. A scholar is included among the top collaborators of Bingcheng Wan 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 Bingcheng Wan. Bingcheng Wan 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.
Wang, Yuan, Yuan‐Han Yang, Yuyu Zhou, et al.. (2025). Space-time deep hybrid boosting learning for investigating day-night hourly seamless air temperature distribution from FY-4A over China. Journal of Hydrology. 663. 134245–134245.
2.
Wang, Lin‐Lin, Bingcheng Wan, Jing Yi, et al.. (2024). Atmospheric Boundary Layer Stability in Urban Beijing: Insights from Meteorological Tower and Doppler Wind Lidar. Remote Sensing. 16(22). 4246–4246. 1 indexed citations
3.
Wan, Bingcheng, et al.. (2024). Research on machine learning forecasting and early warning model for rainfall-induced landslides in Yunnan province. Scientific Reports. 14(1). 14049–14049. 9 indexed citations
4.
Shen, Huan, et al.. (2023). The Synoptic Characteristics of Icing Events on Transmission Lines in Southern China. Atmosphere. 14(12). 1789–1789. 2 indexed citations
5.
Yang, Yuanjian, Linlin Wang, Duanyang Liu, et al.. (2023). Unevenly spatiotemporal distribution of urban excess warming in coastal Shanghai megacity, China: Roles of geophysical environment, ventilation and sea breezes. Building and Environment. 235. 110180–110180. 48 indexed citations
6.
Wan, Bingcheng & Yuchao Gao. (2023). Improving Radar Reflectivity Reconstruction with Himawari-9 and UNet++ for Off-Shore Weather Monitoring. Remote Sensing. 16(1). 56–56. 2 indexed citations
7.
Wang, Liang, et al.. (2023). Forecasting tropical cyclone tracks in the northwestern Pacific based on a deep-learning model. Geoscientific model development. 16(8). 2167–2179. 8 indexed citations
8.
9.
10.
Li, Zhiqiang, et al.. (2019). The impact of urbanization on air stagnation: Shenzhen as case study. The Science of The Total Environment. 664. 347–362. 20 indexed citations
11.
Li, Zhiqiang, et al.. (2019). Model evaluation of high-resolution urban climate simulations: using the WRF/Noah LSM/SLUCM model (Version 3.7.1) as a case study. Geoscientific model development. 12(11). 4571–4584. 8 indexed citations
12.
Lv, Min, Zhien Wang, Zhanqing Li, et al.. (2018). Retrieval of Cloud Condensation Nuclei Number Concentration Profiles From Lidar Extinction and Backscatter Data. Journal of Geophysical Research Atmospheres. 123(11). 6082–6098. 24 indexed citations
13.
Li, Zhiqiang, et al.. (2018). Model evaluation of high-resolution urban climate simulations: using WRF ARW/LSM/SLUCM model as a case study. Biogeosciences (European Geosciences Union). 2 indexed citations
14.
Jiang, Mengjiao, Zhanqing Li, Ruiyu Sun, et al.. (2017). Potential influences of neglecting aerosol effects on the NCEP GFS precipitation forecast. Atmospheric chemistry and physics. 17(22). 13967–13982. 13 indexed citations
15.
Wan, Bingcheng, Zhiqiu Gao, Fei Chen, & Chungu Lu. (2017). Impact of Tibetan Plateau Surface Heating on Persistent Extreme Precipitation Events in Southeastern China. Monthly Weather Review. 145(9). 3485–3505. 39 indexed citations
16.
Liang, Chen, Yanping Li, Fei Chen, et al.. (2016). The incorporation of an organic soil layer in the Noah-MP land surface modeland its evaluation over a boreal aspen forest. Atmospheric chemistry and physics. 16(13). 8375–8387. 29 indexed citations
17.
Li, Dan, Zhiqiu Gao, Jianwu Tang, et al.. (2015). Seasonal and interannual variations of carbon exchange over a rice-wheat rotation system on the North China Plain. Advances in Atmospheric Sciences. 32(10). 1365–1380. 31 indexed citations
18.
Guo, Xiaofeng, et al.. (2014). Characteristics of Thermally-Induced Near-Surface Flows over An Enclosed Crater: Observations of the Meteor Crater Experiment (Metcrax). Atmospheric and Oceanic Science Letters. 7(2). 162–167. 1 indexed citations
19.
Pan, Zaitao, Bingcheng Wan, & Zhiqiu Gao. (2013). Asymmetric and heterogeneous frequency of high and low record‐breaking temperatures in China as an indication of warming climate becoming more extreme. Journal of Geophysical Research Atmospheres. 118(12). 6152–6164. 9 indexed citations
20.
Ahmad, Aziz, et al.. (2011). The Interaction Effect of Photoperiod and Exogenous Hormone on the Dry Matter of Strawberry (Fragaria x ananassa Duch). Agricultural Journal. 6(6). 340–346. 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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