Songlin Wu

2.3k total citations · 1 hit paper
79 papers, 1.7k citations indexed

About

Songlin Wu is a scholar working on Environmental Chemistry, Plant Science and Geochemistry and Petrology. According to data from OpenAlex, Songlin Wu has authored 79 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Environmental Chemistry, 23 papers in Plant Science and 18 papers in Geochemistry and Petrology. Recurrent topics in Songlin Wu's work include Mine drainage and remediation techniques (20 papers), Mycorrhizal Fungi and Plant Interactions (19 papers) and Heavy metals in environment (16 papers). Songlin Wu is often cited by papers focused on Mine drainage and remediation techniques (20 papers), Mycorrhizal Fungi and Plant Interactions (19 papers) and Heavy metals in environment (16 papers). Songlin Wu collaborates with scholars based in China, Australia and Taiwan. Songlin Wu's co-authors include Baodong Chen, Longbin Huang, Xin Zhang, Yuqing Sun, Ting‐Shan Chan, Gordon Southam, Ying‐Rui Lu, Tuan A.H. Nguyen, Zhaoxiang Wu and Yunjia Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Songlin Wu

70 papers receiving 1.7k citations

Hit Papers

Soil organic matter dynamics mediated by arbuscular mycor... 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Soil organic matter dynamics mediated by arbuscular mycorrhizal fungi – an updated conceptual framework
    2023 75 citations Songlin Wu, Wei Fu et al. New Phytologist profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Songlin Wu China 25 712 484 379 236 205 79 1.7k
Jeong‐Gyu Kim South Korea 21 652 0.9× 1.1k 2.2× 445 1.2× 117 0.5× 238 1.2× 130 2.2k
Haiyan Yuan China 23 995 1.4× 528 1.1× 331 0.9× 150 0.6× 127 0.6× 81 2.1k
Kristin Adriaensen Belgium 15 1.0k 1.5× 995 2.1× 144 0.4× 113 0.5× 190 0.9× 17 1.9k
Zhihong Cao China 19 771 1.1× 487 1.0× 293 0.8× 70 0.3× 132 0.6× 45 1.8k
Linyan He China 29 1.6k 2.3× 1.0k 2.1× 255 0.7× 197 0.8× 296 1.4× 101 3.0k
Nunzio Fiorentino Italy 26 815 1.1× 437 0.9× 116 0.3× 256 1.1× 119 0.6× 60 1.9k
Thomas M. DeSutter United States 24 429 0.6× 464 1.0× 133 0.4× 136 0.6× 106 0.5× 87 1.8k
Qiang Ma China 28 597 0.8× 483 1.0× 216 0.6× 182 0.8× 72 0.4× 100 2.1k
Shiming Su China 28 410 0.6× 823 1.7× 829 2.2× 214 0.9× 176 0.9× 93 2.0k
Xin Chen China 29 659 0.9× 506 1.0× 347 0.9× 89 0.4× 55 0.3× 131 2.1k

Countries citing papers authored by Songlin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Songlin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songlin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Songlin Wu. A scholar is included among the top collaborators of Songlin 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 Songlin Wu. Songlin 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
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Wu, Songlin, et al.. (2024). Optimization of reed-based polyol production driven by response surface methodology and machine learning: Process modeling and hydroxyl value prediction. Industrial Crops and Products. 222. 119752–119752. 2 indexed citations
6.
Li, Zhen, Songlin Wu, Yunjia Liu, et al.. (2024). Water-stable aggregation and organic matter stabilisation by native plant Acacia auriculiformis in an early Technosol eco-engineered from Fe-ore tailings. SHILAP Revista de lepidopterología. 2(4). 100115–100115. 1 indexed citations
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Wu, Songlin, et al.. (2024). Machine learning prediction of bio-polyol yields and hydroxyl values from acid-catalyzed liquefaction of lignocellulosic biomass. Industrial Crops and Products. 218. 119022–119022. 5 indexed citations
8.
Chen, Yu, Zezhen Pan, Juan Liu, et al.. (2024). Effects of EDTA and Bicarbonate on U(VI) Reduction by Reduced Nontronite. Environmental Science & Technology. 58(52). 23031–23041. 6 indexed citations
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He, Jinxi, et al.. (2024). Distinguishing contributions of diverse sediment components to vanadium transport, immobilization and transformation in aquifer. Water Research. 265. 122248–122248. 12 indexed citations
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Zhang, Jianqiang, et al.. (2023). Reading Recognition Method of Mechanical Pointer Meter Based on Machine Vision. 3(1). 34–38. 2 indexed citations
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Li, Jinglong, Baodong Chen, Songlin Wu, et al.. (2023). Integrative application of biochar and arbuscular mycorrhizal fungi for enhanced chromium resistance in Medicago sativa. The Science of The Total Environment. 905. 167289–167289. 4 indexed citations
13.
Li, Zhen, Songlin Wu, Qing Yi, et al.. (2023). Arbuscular mycorrhizal fungi regulate plant mineral nutrient uptake and partitioning in iron ore tailings undergoing eco-engineered pedogenesis. Pedosphere. 34(2). 385–398. 7 indexed citations
14.
Wu, Songlin, Wei Fu, Matthias C. Rillig, et al.. (2023). Soil organic matter dynamics mediated by arbuscular mycorrhizal fungi – an updated conceptual framework. New Phytologist. 242(4). 1417–1425. 75 indexed citations breakdown →
15.
Wu, Songlin, Kurt O. Konhauser, Baodong Chen, & Longbin Huang. (2023). “Reactive Mineral Sink” drives soil organic matter dynamics and stabilization. 1(1). 39 indexed citations
16.
Zhang, Ming, Kun‐Yi Andrew Lin, Yuchi Zhong, et al.. (2022). Functionalizing biochar by Co-pyrolysis shaddock peel with red mud for removing acid orange 7 from water. Environmental Pollution. 299. 118893–118893. 41 indexed citations
17.
Yi, Qing, Songlin Wu, Yunjia Liu, et al.. (2022). Mineral weathering of iron ore tailings primed by Acidithiobacillus ferrooxidans and elemental sulfur under contrasting pH conditions. The Science of The Total Environment. 856(Pt 1). 159078–159078. 13 indexed citations
18.
Nguyen, Tuan A.H., Yunjia Liu, Songlin Wu, & Longbin Huang. (2021). Unravelling in-situ hardpan properties and functions in capping sulfidic Cu-Pb-Zn tailings and forming a duplex soil system cover. Journal of Hazardous Materials. 425. 127943–127943. 11 indexed citations
19.
Robertson, Lachlan M., Songlin Wu, Fang You, et al.. (2020). Geochemical and mineralogical changes in magnetite Fe-ore tailings induced by biomass organic matter amendment. The Science of The Total Environment. 724. 138196–138196. 23 indexed citations
20.
Li, Jinglong, Yuqing Sun, Xin Zhang, et al.. (2018). A methyltransferase gene from arbuscular mycorrhizal fungi involved in arsenic methylation and volatilization. Chemosphere. 209. 392–400. 32 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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