Bifeng Hu

6.0k total citations · 2 hit papers
100 papers, 4.0k citations indexed

About

Bifeng Hu is a scholar working on Environmental Engineering, Artificial Intelligence and Pollution. According to data from OpenAlex, Bifeng Hu has authored 100 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Environmental Engineering, 46 papers in Artificial Intelligence and 27 papers in Pollution. Recurrent topics in Bifeng Hu's work include Soil Geostatistics and Mapping (55 papers), Geochemistry and Geologic Mapping (44 papers) and Heavy metals in environment (27 papers). Bifeng Hu is often cited by papers focused on Soil Geostatistics and Mapping (55 papers), Geochemistry and Geologic Mapping (44 papers) and Heavy metals in environment (27 papers). Bifeng Hu collaborates with scholars based in China, France and United States. Bifeng Hu's co-authors include Zhou Shi, Songchao Chen, Yin Zhou, Jie Hu, Xiaolin Jia, Jie Peng, Shuai Shao, Lianqing Zhou, Zhiyi Fu and Fang Xia and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Bifeng Hu

93 papers receiving 4.0k citations

Hit Papers

Current status, spatial features, health risks, and poten... 2017 2026 2020 2023 2020 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bifeng Hu China 33 1.6k 1.4k 1.2k 685 548 100 4.0k
Gergely Tóth Hungary 24 1.2k 0.7× 1.1k 0.8× 759 0.6× 430 0.6× 491 0.9× 88 4.0k
Luboš Borůvka Czechia 35 1.3k 0.8× 1.7k 1.3× 1.5k 1.2× 254 0.4× 798 1.5× 157 4.3k
Yongcun Zhao China 36 1.2k 0.7× 1.5k 1.1× 907 0.7× 444 0.6× 847 1.5× 141 4.9k
Mei Lei China 41 3.6k 2.3× 599 0.4× 1.0k 0.9× 1.2k 1.7× 301 0.5× 201 6.1k
Lingqing Wang China 44 2.3k 1.4× 548 0.4× 787 0.6× 1.2k 1.7× 662 1.2× 197 6.2k
Xingmei Liu China 25 2.1k 1.3× 432 0.3× 751 0.6× 715 1.0× 323 0.6× 43 3.3k
David C. Weindorf United States 46 1.5k 1.0× 2.9k 2.1× 2.3k 1.9× 353 0.5× 871 1.6× 234 7.0k
Raúl Zornoza Spain 41 1.4k 0.9× 698 0.5× 535 0.4× 272 0.4× 782 1.4× 147 5.4k
Ángel Faz Spain 41 2.7k 1.7× 309 0.2× 630 0.5× 750 1.1× 363 0.7× 142 5.2k
Songchao Chen China 44 837 0.5× 3.4k 2.5× 2.1k 1.7× 307 0.4× 1.3k 2.4× 173 6.2k

Countries citing papers authored by Bifeng Hu

Since Specialization
Citations

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

Fields of papers citing papers by Bifeng Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bifeng Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Bifeng Hu. A scholar is included among the top collaborators of Bifeng Hu 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 Bifeng Hu. Bifeng Hu 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
2.
Xiong, Qiulin, et al.. (2025). Ecological Security Zoning Considering Land Degradation Neutrality: A Case Study in Southern Jiangxi Province, China. Land Degradation and Development. 37(4). 1316–1329.
3.
Chen, Songchao, et al.. (2025). High-Accuracy Mapping of Soil Organic Carbon by Mining Sentinel-1/2 Radar and Optical Time-Series Data with Super Ensemble Model. Remote Sensing. 17(4). 678–678. 1 indexed citations
4.
Hu, Bifeng, Qian Zhu, Yibo Geng, et al.. (2025). Improved estimation of soil organic carbon stock in subtropical cropland of Southern China based on digital soil mapping and multi-sources data. Geo-spatial Information Science. 28(6). 2864–2887. 1 indexed citations
5.
Li, Hongyi, Jiang-Tao Yang, Bifeng Hu, et al.. (2025). Improving in-situ spectral estimation of wetland soil organic carbon by integrating multiple optimization strategies. CATENA. 255. 109078–109078. 2 indexed citations
6.
Zhou, Yuwei, Asim Biswas, Yongsheng Hong, et al.. (2024). Enhancing soil profile analysis with soil spectral libraries and laboratory hyperspectral imaging. Geoderma. 450. 117036–117036. 7 indexed citations
7.
Wang, Yu, et al.. (2024). Predicting soil organic carbon content using simulated insitu spectra and moisture correction algorithms in southern Xinjiang, China. Geoderma Regional. 37. e00783–e00783. 5 indexed citations
8.
Hu, Bifeng, Yue Zhou, Songchao Chen, et al.. (2024). A high-resolution map of soil organic carbon in cropland of Southern China. CATENA. 237. 107813–107813. 39 indexed citations
10.
Li, Hongyi, Bifeng Hu, Yin Zhou, et al.. (2024). Effects of straw return on soil carbon sequestration, soil nutrients and rice yield of in acidic farmland soil of Southern China. Environment Development and Sustainability. 27(12). 29775–29795. 5 indexed citations
11.
12.
Chen, Xueyao, et al.. (2023). Estimating monthly surface ozone using multi-source satellite products in China based on Deep Forest model. Atmospheric Environment. 307. 119819–119819. 13 indexed citations
13.
Wang, Jiawen, Bifeng Hu, Songchao Chen, et al.. (2023). A novel framework for improving soil organic matter prediction accuracy in cropland by integrating soil, vegetation and human activity information. The Science of The Total Environment. 903. 166112–166112. 17 indexed citations
14.
Zhang, Xianglin, Songchao Chen, Jie Xue, et al.. (2023). Improving model parsimony and accuracy by modified greedy feature selection in digital soil mapping. Geoderma. 432. 116383–116383. 41 indexed citations
15.
Li, Baoguo, Yan Cao, Zhou Shi, et al.. (2023). Comparison of Depth-Specific Prediction of Soil Properties: MIR vs. Vis-NIR Spectroscopy. Sensors. 23(13). 5967–5967. 6 indexed citations
16.
Jia, Xiaolin, et al.. (2023). Development of Soil Fertility Index Using Machine Learning and Visible-Near-Infrared Spectroscopy. Land. 12(12). 2155–2155. 10 indexed citations
17.
Hu, Bifeng, Hongyi Li, Yali Wen, et al.. (2023). Mapping soil organic matter and identifying potential controls in the farmland of Southern China: Integration of multi‐source data, machine learning and geostatistics. Land Degradation and Development. 34(17). 5468–5485. 21 indexed citations
18.
Jia, Xiaolin, et al.. (2023). Potential Risk Evaluation for Soil Environmental Quality Assessment in China Based on Spatial Multi-Criteria Decision-Making Theory. Eurasian Soil Science. 56(7). 984–993. 1 indexed citations
19.
Hu, Bifeng, Hongyi Li, Yue Zhou, et al.. (2023). Climate and soil management factors control spatio-temporal variation of soil nutrients and soil organic matter in the farmland of Jiangxi Province in South China. Journal of Soils and Sediments. 23(6). 2373–2395. 20 indexed citations
20.
Hu, Bifeng, Jie Xue, Yin Zhou, et al.. (2020). Modelling bioaccumulation of heavy metals in soil-crop ecosystems and identifying its controlling factors using machine learning. Environmental Pollution. 262. 114308–114308. 195 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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