Songjun Wu

722 total citations
23 papers, 507 citations indexed

About

Songjun Wu is a scholar working on Water Science and Technology, Environmental Chemistry and Oceanography. According to data from OpenAlex, Songjun Wu has authored 23 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Water Science and Technology, 11 papers in Environmental Chemistry and 8 papers in Oceanography. Recurrent topics in Songjun Wu's work include Hydrology and Watershed Management Studies (13 papers), Marine and coastal ecosystems (8 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (6 papers). Songjun Wu is often cited by papers focused on Hydrology and Watershed Management Studies (13 papers), Marine and coastal ecosystems (8 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (6 papers). Songjun Wu collaborates with scholars based in Germany, United Kingdom and China. Songjun Wu's co-authors include Guoxiang Wang, Mingyue Wang, Doerthe Tetzlaff, Chris Soulsby, Xiaoguang Xu, Yanping Zhao, Yunhao Yang, Hao Sun, Zhichun Li and Yuanyuan Chen and has published in prestigious journals such as The Science of The Total Environment, Water Research and Water Resources Research.

In The Last Decade

Songjun Wu

21 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Songjun Wu Germany 11 284 217 161 152 115 23 507
Anne B. Gustafson United States 12 260 0.9× 288 1.3× 157 1.0× 150 1.0× 97 0.8× 17 554
Lauriane Vilmin Netherlands 15 303 1.1× 199 0.9× 124 0.8× 211 1.4× 61 0.5× 26 584
Helen R. Powley United Kingdom 8 309 1.1× 207 1.0× 147 0.9× 183 1.2× 80 0.7× 11 599
Ryuichiro Shinohara Japan 14 285 1.0× 194 0.9× 176 1.1× 122 0.8× 76 0.7× 40 564
Teija Kirkkala Finland 12 347 1.2× 180 0.8× 137 0.9× 242 1.6× 109 0.9× 24 598
Kamal Slim Lebanon 12 194 0.7× 149 0.7× 107 0.7× 151 1.0× 77 0.7× 37 415
Rachel Gabor United States 14 173 0.6× 102 0.5× 122 0.8× 203 1.3× 74 0.6× 25 481
Joel D. Blomquist United States 15 344 1.2× 159 0.7× 133 0.8× 324 2.1× 82 0.7× 28 646
Ryan J. Sorichetti Canada 14 339 1.2× 175 0.8× 157 1.0× 139 0.9× 32 0.3× 22 512
Gongqin Wang China 13 325 1.1× 278 1.3× 256 1.6× 180 1.2× 178 1.5× 16 764

Countries citing papers authored by Songjun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Songjun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songjun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Songjun Wu. A scholar is included among the top collaborators of Songjun 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 Songjun Wu. Songjun 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.
2.
Wu, Songjun, Doerthe Tetzlaff, & Chris Soulsby. (2025). Revising Common Approaches for Calibration: Insights From a 1‐D Tracer‐Aided Hydrological Model With High‐Dimensional Parameters and Objectives. Water Resources Research. 61(1). 6 indexed citations
3.
Wu, Songjun, Doerthe Tetzlaff, Xiaoqiang Yang, Tobias Sauter, & Chris Soulsby. (2025). Hydrological Connectivity Dominates NO3‐N Cycling in Complex Landscapes – Insights From Integration of Isotopes and Water Quality Modeling. Water Resources Research. 61(7). 1 indexed citations
4.
Wu, Songjun, Doerthe Tetzlaff, Keith Beven, & Chris Soulsby. (2025). DREAM(LoAX): Simultaneous Calibration and Diagnosis for Tracer‐Aided Ecohydrological Models Under the Equifinality Thesis. Water Resources Research. 61(3).
5.
Tetzlaff, Doerthe, et al.. (2024). Integrated monitoring and modeling to disentangle the complex spatio-temporal dynamics of urbanized streams under drought stress. Environmental Monitoring and Assessment. 196(6). 560–560. 4 indexed citations
6.
Liu, Ji, Doerthe Tetzlaff, Tobias Goldhammer, Songjun Wu, & Chris Soulsby. (2023). Quantifying changes and trends of NO3 concentrations and concentration-discharge relationships in a complex, heavily managed, drought-sensitive river system. Journal of Hydrology. 622. 129750–129750. 8 indexed citations
7.
Li, Zhichun, Songjun Wu, Hao Yu, et al.. (2023). Distribution pattern of dissolved organic matter in pore water of sediments from three typical areas of western Lake Taihu and its environmental implications. Water Science & Technology. 88(11). 2733–2750. 1 indexed citations
8.
Wu, Songjun, et al.. (2023). Improved understanding of vegetation dynamics and wetland ecohydrology via monthly UAV‐based classification. Hydrological Processes. 37(9). 2 indexed citations
9.
Chen, Ke, Doerthe Tetzlaff, Tobias Goldhammer, et al.. (2023). Synoptic water isotope surveys to understand the hydrology of large intensively managed catchments. Journal of Hydrology. 623. 129817–129817. 10 indexed citations
10.
Wu, Songjun, Doerthe Tetzlaff, Xiaoqiang Yang, Aaron Smith, & Chris Soulsby. (2023). Integrating Tracers and Soft Data Into Multi‐Criteria Calibration: Implications From Distributed Modeling in a Riparian Wetland. Water Resources Research. 59(11). 10 indexed citations
11.
12.
Yan, Xingcheng, Vincent Thieu, Songjun Wu, & Josette Garnier. (2022). Reservoirs change pCO2 and water quality of downstream rivers: Evidence from three reservoirs in the Seine Basin. Water Research. 213. 118158–118158. 20 indexed citations
13.
Wu, Songjun, et al.. (2022). Tracer-aided identification of hydrological and biogeochemical controls on in-stream water quality in a riparian wetland. Water Research. 222. 118860–118860. 15 indexed citations
14.
15.
Wu, Songjun, et al.. (2020). Parallelism of Nutrients and CO2 Dynamics: Evidence Based on Long-Term Data in Taihu Lake. Bulletin of Environmental Contamination and Toxicology. 105(5). 742–749. 5 indexed citations
16.
Zhao, Yanping, et al.. (2020). Seasonal iron‑sulfur interactions and the stimulated phosphorus mobilization in freshwater lake sediments. The Science of The Total Environment. 768. 144336–144336. 46 indexed citations
17.
Wu, Songjun, Xuan Wang, Qiuyi Ji, et al.. (2019). Iron-sulfur distribution and its environmental significance in three typical areas of western Lake Taihu. Journal of Lake Sciences. 31(4). 950–960. 2 indexed citations
18.
Wu, Songjun, Yanping Zhao, Yuanyuan Chen, et al.. (2018). Sulfur cycling in freshwater sediments: A cryptic driving force of iron deposition and phosphorus mobilization. The Science of The Total Environment. 657. 1294–1303. 81 indexed citations
19.
Yan, Xingcheng, Xiaoguang Xu, Ming Ji, et al.. (2018). Cyanobacteria blooms: A neglected facilitator of CH4 production in eutrophic lakes. The Science of The Total Environment. 651(Pt 1). 466–474. 52 indexed citations
20.
Xu, Xiaoguang, Mingyue Wang, Guoxiang Wang, et al.. (2017). Climate warming and cyanobacteria blooms: Looks at their relationships from a new perspective. Water Research. 125. 449–457. 174 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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Breakdown of academic impact, for papers by Anne B. Gustafson Breakdown of academic impact, for papers by Lauriane Vilmin Breakdown of academic impact, for papers by Helen R. Powley Breakdown of academic impact, for papers by Ryuichiro Shinohara Breakdown of academic impact, for papers by Teija Kirkkala Breakdown of academic impact, for papers by Kamal Slim Breakdown of academic impact, for papers by Rachel Gabor Breakdown of academic impact, for papers by Joel D. Blomquist Breakdown of academic impact, for papers by Ryan J. Sorichetti Breakdown of academic impact, for papers by Gongqin Wang
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