Yongsheng Hong

2.5k total citations
51 papers, 1.9k citations indexed

About

Yongsheng Hong is a scholar working on Environmental Engineering, Artificial Intelligence and Analytical Chemistry. According to data from OpenAlex, Yongsheng Hong has authored 51 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Environmental Engineering, 34 papers in Artificial Intelligence and 25 papers in Analytical Chemistry. Recurrent topics in Yongsheng Hong's work include Soil Geostatistics and Mapping (43 papers), Geochemistry and Geologic Mapping (34 papers) and Spectroscopy and Chemometric Analyses (25 papers). Yongsheng Hong is often cited by papers focused on Soil Geostatistics and Mapping (43 papers), Geochemistry and Geologic Mapping (34 papers) and Spectroscopy and Chemometric Analyses (25 papers). Yongsheng Hong collaborates with scholars based in China, Belgium and France. Yongsheng Hong's co-authors include Yaolin Liu, Yiyun Chen, Yi Liu, Hang Cheng, Songchao Chen, Lei Yu, Yanfang Liu, Zhou Shi, Abdul Mounem Mouazen and Yanfang Liu and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Journal of Cleaner Production.

In The Last Decade

Yongsheng Hong

47 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongsheng Hong China 27 1.2k 883 678 502 257 51 1.9k
Asa Gholizadeh Czechia 27 1.4k 1.1× 988 1.1× 483 0.7× 806 1.6× 357 1.4× 71 2.4k
Michael Vohland Germany 27 1.5k 1.2× 753 0.9× 747 1.1× 747 1.5× 335 1.3× 72 2.4k
Long Guo China 22 1.0k 0.8× 650 0.7× 292 0.4× 499 1.0× 313 1.2× 43 1.5k
Said Nawar Belgium 19 1.1k 0.9× 729 0.8× 583 0.9× 319 0.6× 170 0.7× 30 1.6k
Tiezhu Shi China 28 1.1k 0.9× 627 0.7× 423 0.6× 826 1.6× 200 0.8× 53 2.2k
Marcos Rafael Nanni Brazil 25 1.1k 0.9× 651 0.7× 631 0.9× 826 1.6× 373 1.5× 137 2.3k
Zipeng Zhang China 19 892 0.7× 406 0.5× 249 0.4× 590 1.2× 195 0.8× 78 1.6k
Henning Buddenbaum Germany 21 1.0k 0.8× 431 0.5× 397 0.6× 1.0k 2.0× 129 0.5× 61 1.8k
Fabio Castaldi Italy 26 1.4k 1.1× 718 0.8× 204 0.3× 1.0k 2.0× 425 1.7× 48 1.9k
Bhabani S. Das India 30 1.0k 0.8× 391 0.4× 324 0.5× 256 0.5× 477 1.9× 98 2.3k

Countries citing papers authored by Yongsheng Hong

Since Specialization
Citations

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

Fields of papers citing papers by Yongsheng Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongsheng Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Yongsheng Hong. A scholar is included among the top collaborators of Yongsheng Hong 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 Yongsheng Hong. Yongsheng Hong 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.
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
2.
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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
4.
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
5.
Zhang, Chengqi, et al.. (2024). Unraveling the threshold and interaction effects of environmental variables on soil organic carbon mapping in plateau watershed. Geoderma. 450. 117032–117032. 6 indexed citations
6.
Gu, Shixiang, et al.. (2024). Optimal Mapping of Soil Erodibility in a Plateau Lake Watershed: Empirical Models Empowered by Machine Learning. Remote Sensing. 16(16). 3017–3017. 4 indexed citations
7.
Wang, Nan, Dongyun Xu, Jie Xue, et al.. (2023). Delineation and optimization of cotton farmland management zone based on time series of soil-crop properties at landscape scale in south Xinjiang, China. Soil and Tillage Research. 231. 105744–105744. 9 indexed citations
8.
Hong, Yongsheng, Jonathan Sanderman, Tomislav Hengl, et al.. (2023). Potential of globally distributed topsoil mid-infrared spectral library for organic carbon estimation. CATENA. 235. 107628–107628. 14 indexed citations
9.
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
10.
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
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Wei, Junqing, Yan Zhang, Yi Liu, et al.. (2022). The impact of different road grades on ecological networks in a mega-city Wuhan City, China. Ecological Indicators. 137. 108784–108784. 22 indexed citations
13.
Hong, Yongsheng, Songchao Chen, Yiyun Chen, et al.. (2020). Comparing laboratory and airborne hyperspectral data for the estimation and mapping of topsoil organic carbon: Feature selection coupled with random forest. Soil and Tillage Research. 199. 104589–104589. 97 indexed citations
14.
Hong, Yongsheng, Ruili Shen, Hang Cheng, et al.. (2019). Cadmium concentration estimation in peri-urban agricultural soils: Using reflectance spectroscopy, soil auxiliary information, or a combination of both?. Geoderma. 354. 113875–113875. 60 indexed citations
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Hong, Yongsheng, Yaolin Liu, Yaolin Liu, et al.. (2018). Application of fractional-order derivative in the quantitative estimation of soil organic matter content through visible and near-infrared spectroscopy. Geoderma. 337. 758–769. 170 indexed citations
18.
Hong, Yongsheng, Ruili Shen, Hang Cheng, et al.. (2018). Estimating lead and zinc concentrations in peri-urban agricultural soils through reflectance spectroscopy: Effects of fractional-order derivative and random forest. The Science of The Total Environment. 651(Pt 2). 1969–1982. 87 indexed citations
19.
Hong, Yongsheng, Songchao Chen, Yong Zhang, et al.. (2018). Rapid identification of soil organic matter level via visible and near-infrared spectroscopy: Effects of two-dimensional correlation coefficient and extreme learning machine. The Science of The Total Environment. 644. 1232–1243. 104 indexed citations
20.
Hong, Yongsheng, Lei Yu, Yiyun Chen, et al.. (2017). Prediction of Soil Organic Matter by VIS–NIR Spectroscopy Using Normalized Soil Moisture Index as a Proxy of Soil Moisture. Remote Sensing. 10(1). 28–28. 71 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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