Bing Wu

683 total citations
43 papers, 520 citations indexed

About

Bing Wu is a scholar working on Atmospheric Science, Analytical Chemistry and Civil and Structural Engineering. According to data from OpenAlex, Bing Wu has authored 43 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atmospheric Science, 7 papers in Analytical Chemistry and 6 papers in Civil and Structural Engineering. Recurrent topics in Bing Wu's work include Climate change and permafrost (11 papers), Cryospheric studies and observations (9 papers) and Spectroscopy and Chemometric Analyses (7 papers). Bing Wu is often cited by papers focused on Climate change and permafrost (11 papers), Cryospheric studies and observations (9 papers) and Spectroscopy and Chemometric Analyses (7 papers). Bing Wu collaborates with scholars based in China, Canada and Australia. Bing Wu's co-authors include Yuhong Gao, Junyi Niu, Hanyu Jiang, Yaping Xie, Hong‐Hu Zhu, Dingfeng Cao, Bin Shi, Chee Pin Tan, Tianxiang Liu and Biao Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and IEEE Access.

In The Last Decade

Bing Wu

40 papers receiving 505 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Wu China 12 184 163 142 91 89 43 520
Jun Yi China 12 160 0.9× 269 1.7× 160 1.1× 101 1.1× 64 0.7× 36 685
Haijun Yan China 16 337 1.8× 442 2.7× 114 0.8× 43 0.5× 72 0.8× 63 764
Zhuangji Wang United States 13 137 0.7× 61 0.4× 109 0.8× 40 0.4× 32 0.4× 36 406
Xihuan Sun China 12 138 0.8× 177 1.1× 140 1.0× 29 0.3× 30 0.3× 85 475
Jarbas Honório de Miranda Brazil 13 214 1.2× 234 1.4× 134 0.9× 16 0.2× 39 0.4× 77 523
Abid Sarwar Pakistan 15 124 0.7× 149 0.9× 59 0.4× 82 0.9× 17 0.2× 42 626
K. L. Bristow United States 7 82 0.4× 90 0.6× 197 1.4× 89 1.0× 27 0.3× 11 412
M.A. Hilhorst Netherlands 12 71 0.4× 114 0.7× 197 1.4× 51 0.6× 38 0.4× 34 732
Giovanni Bitella Italy 12 179 1.0× 70 0.4× 59 0.4× 19 0.2× 36 0.4× 18 557
Ian Porter Australia 14 230 1.3× 78 0.5× 203 1.4× 20 0.2× 16 0.2× 61 741

Countries citing papers authored by Bing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Bing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Wu. A scholar is included among the top collaborators of Bing Wu 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 Bing Wu. Bing Wu 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.
He, Bin, et al.. (2025). Dynamic Sharing Algorithm for Power Grid Survey Data Based on Blockchain and Proxy Re-encryption. Sensors and Materials. 37(1). 207–207. 1 indexed citations
2.
Wu, Bing, Hong‐Hu Zhu, Deyang Wang, et al.. (2025). Ground-breathing effect of the Loess Plateau: Insights from the Chinese 72 pentads. Journal of Rock Mechanics and Geotechnical Engineering. 1 indexed citations
3.
Li, Yue, Gerrit Hoogenboom, Yuhong Gao, et al.. (2025). DSSAT modeling of oilseed flax (Linum usitatissimum L.): Sensitivity analysis of yield to weather variability and nitrogen application. Field Crops Research. 328. 109930–109930.
4.
5.
Zhu, Hong‐Hu, et al.. (2024). Experimental study on progressive interfacial mechanical behaviors using fiber optic sensing cable in frozen soil. Journal of Rock Mechanics and Geotechnical Engineering. 17(3). 1828–1846. 3 indexed citations
6.
Li, Yanru, Keming Yang, & Bing Wu. (2024). Feature Selection and Spectral Indices for Identifying Maize Stress Types. Applied Spectroscopy. 79(2). 306–319. 1 indexed citations
7.
8.
Gao, Yuhong, Bing Wu, Yifan Wang, et al.. (2023). Organic Manure Significantly Promotes the Growth of Oilseed Flax and Improves Its Grain Yield in Dry Areas of the Loess Plateau of China. Agronomy. 13(9). 2304–2304. 1 indexed citations
9.
10.
Zhu, Hong‐Hu, Bing Wu, Dingfeng Cao, et al.. (2023). Characterizing thermo-hydraulic behaviors of seasonally frozen loess via a combined opto-electronic sensing system: Field monitoring and assessment. Journal of Hydrology. 622. 129647–129647. 18 indexed citations
11.
Yao, Yongzheng, et al.. (2022). Numerical study on fire behavior and temperature distribution in a blind roadway with different sealing situations. Environmental Science and Pollution Research. 30(13). 36967–36978. 11 indexed citations
12.
Li, Yanru, et al.. (2022). Identification of soil heavy metal pollution by constructing 2D plane using hyperspectral index. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 278. 121318–121318. 6 indexed citations
13.
Li, Yanru, et al.. (2022). Non-destructive study on identifying and monitoring of Cu-Pb pollution in corn based on near-infrared spectroscopy. Environmental Science and Pollution Research. 30(6). 14155–14164. 3 indexed citations
14.
Zhang, Jianhong, Min Wang, Keming Yang, et al.. (2022). Predicting Copper and Lead Concentration in Crops Using Reflectance Spectroscopy Associated With Intrinsic Wavelength-Scale Decomposition Spectral Transformation. IEEE Access. 10. 52258–52272. 3 indexed citations
15.
Zhu, Hong‐Hu, et al.. (2022). Artificial intelligence-based fiber optic sensing for soil moisture measurement with different cover conditions. Measurement. 206. 112312–112312. 22 indexed citations
16.
Cao, Dingfeng, Hong‐Hu Zhu, Chengchao Guo, Bing Wu, & Jiachen Wang. (2021). Passive distributed temperature sensing (PDTS)-based moisture content estimation in agricultural soils under different vegetative canopies. Paddy and Water Environment. 19(3). 383–393. 5 indexed citations
17.
Wu, Bing, Hong‐Hu Zhu, & Dingfeng Cao. (2021). Measuring thermal conductivity of frozen soil using fiber optic sensors. 135(2). 82–93. 1 indexed citations
18.
Li, Yanru, et al.. (2021). Discrimination of heavy metal crop contamination using measurements of leaf spectra. Remote Sensing Letters. 12(3). 278–285. 5 indexed citations
19.
20.
Wu, Bing, et al.. (2012). Effect of treatment patterns of used plastic film in field on oil flax physiological index and yield. CHINESE JOURNAL OF ECO-AGRICULTURE. 20(2). 197–202. 1 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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