Zhidan Wen

6.0k total citations · 1 hit paper
112 papers, 4.7k citations indexed

About

Zhidan Wen is a scholar working on Oceanography, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, Zhidan Wen has authored 112 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Oceanography, 30 papers in Water Science and Technology and 29 papers in Global and Planetary Change. Recurrent topics in Zhidan Wen's work include Marine and coastal ecosystems (78 papers), Water Quality Monitoring and Analysis (25 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (18 papers). Zhidan Wen is often cited by papers focused on Marine and coastal ecosystems (78 papers), Water Quality Monitoring and Analysis (25 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (18 papers). Zhidan Wen collaborates with scholars based in China, United States and Hong Kong. Zhidan Wen's co-authors include Dawen Gao, Kaishan Song, Yingxin Shang, Chong Fang, Ge Liu, Lili Lyu, Jia Du, Sijia Li, Ying Zhao and Hui Tao 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

Zhidan Wen

111 papers receiving 4.6k citations

Hit Papers

Phthalate esters in the e... 2015 2026 2018 2022 2015 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhidan Wen China 39 1.9k 1.3k 994 971 956 112 4.7k
Chen He China 41 1.9k 1.0× 1.1k 0.8× 946 1.0× 838 0.9× 1.6k 1.7× 147 5.1k
Takehiko Fukushima Japan 38 1.5k 0.8× 1.5k 1.2× 680 0.7× 531 0.5× 1.1k 1.1× 211 4.5k
Hao Yang China 36 814 0.4× 894 0.7× 715 0.7× 901 0.9× 986 1.0× 233 4.6k
Binghui Zheng China 44 919 0.5× 1.8k 1.4× 1.7k 1.7× 1.9k 1.9× 1.3k 1.4× 226 6.2k
Daniel Graeber Germany 28 1.6k 0.8× 838 0.6× 484 0.5× 479 0.5× 1.3k 1.4× 62 3.7k
Penghui Li China 33 1.0k 0.5× 609 0.5× 902 0.9× 596 0.6× 756 0.8× 166 3.7k
Perran L. M. Cook Australia 45 1.5k 0.8× 902 0.7× 271 0.3× 1.1k 1.1× 2.2k 2.3× 146 5.5k
Yongqiang Zhou China 47 3.6k 1.9× 1.8k 1.4× 390 0.4× 528 0.5× 2.1k 2.2× 168 6.2k
Shouliang Huo China 37 628 0.3× 1.1k 0.8× 1.1k 1.1× 1.3k 1.3× 664 0.7× 161 3.9k

Countries citing papers authored by Zhidan Wen

Since Specialization
Citations

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

Fields of papers citing papers by Zhidan Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhidan Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Zhidan Wen. A scholar is included among the top collaborators of Zhidan Wen 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 Zhidan Wen. Zhidan Wen 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.
Shang, Yingxin, et al.. (2025). Machine learning reveals distinct aquatic organic matter patterns driven by soil erosion types. Environmental Science and Ecotechnology. 25. 100570–100570. 13 indexed citations
2.
Zhao, Ruixue, Yingxin Shang, Pierre-André Jacinthe, et al.. (2024). Variations in surface area and biogeochemistry of subarctic-arctic lakes established through satellite and in-situ observations: An overview of published research from the past 30 years. The Science of The Total Environment. 931. 172797–172797. 3 indexed citations
3.
Tao, Hui, Shiwei Liu, Ge Liu, et al.. (2024). Using satellite imagery to estimate CO2 partial pressure and exchange with the atmosphere in the Songhua River. Journal of Hydrology. 634. 131074–131074. 39 indexed citations
4.
Li, Sijia, Kaishan Song, Ge Liu, et al.. (2023). Sentinel-3 OLCI observations of Chinese lake turbidity using machine learning algorithms. Journal of Hydrology. 622. 129668–129668. 18 indexed citations
5.
Xin, Xiaodong, Jiaqian Xie, Yanfang Wang, et al.. (2023). Sludge source-redox mediators obtainment and availability for enhancing bioelectrogenesis and acidogenesis: Deciphering characteristics and mechanisms. Water Research. 236. 119974–119974. 14 indexed citations
6.
Zhao, Ruixue, Qian Yang, Zhidan Wen, et al.. (2023). Satellite Estimation of pCO2 and Quantification of CO2 Fluxes in China’s Chagan Lake in the Context of Climate Change. Remote Sensing. 15(24). 5680–5680. 2 indexed citations
8.
Wen, Zhidan, Yingxin Shang, Lili Lyu, et al.. (2023). Re-estimating China's lake CO2 flux considering spatiotemporal variability. Environmental Science and Ecotechnology. 19. 100337–100337. 46 indexed citations
9.
Tao, Hui, Kaishan Song, Ge Liu, et al.. (2022). A Landsat-derived annual inland water clarity dataset of China between 1984 and 2018. Earth system science data. 14(1). 79–94. 26 indexed citations
10.
Xie, Jiaqian, Xiaodong Xin, Jun-ming Hong, et al.. (2022). Synergic role of ferrate and nitrite for triggering waste activated sludge solubilisation and acidogenic fermentation: Effectiveness evaluation and mechanism elucidation. Water Research. 226. 119287–119287. 53 indexed citations
11.
Wen, Zhidan, Yingxin Shang, Lili Lyu, et al.. (2021). Sources and composition of riverine dissolved organic matter to marginal seas from mainland China. Journal of Hydrology. 603. 127152–127152. 33 indexed citations
12.
Yang, Qian, et al.. (2020). Investigation of spatial and temporal variability of river ice phenology and thickness across Songhua River Basin, northeast China. ˜The œcryosphere. 14(11). 3581–3593. 12 indexed citations
14.
Wen, Zhidan, Kaishan Song, Chong Fang, et al.. (2018). Spatial pattern of K<sub>d</sub>(PAR) and its relationship with light absorption of optically active components in inland waters across China. Biogeosciences (European Geosciences Union). 1 indexed citations
15.
Song, Kaishan, Sijia Li, Zhidan Wen, Lili Lyu, & Yingxin Shang. (2018). Characterization of chromophoric dissolved organic matter in lakes on the Tibet Plateau, China, using spectroscopic analysis. Biogeosciences (European Geosciences Union). 2 indexed citations
16.
Song, Kaishan, Ying Zhao, Zhidan Wen, Chong Fang, & Yingxin Shang. (2017). A systematic examination of the relationships between CDOM and DOC in inland waters in China. Hydrology and earth system sciences. 21(10). 5127–5141. 31 indexed citations
17.
18.
Song, Kaishan, Ying Zhao, Zhidan Wen, et al.. (2016). A systematic examination of the relationship between CDOM and DOC for various inland waters across China. 2 indexed citations
19.
Zhao, Ying, Kaishan Song, Sijia Li, Jianhang Ma, & Zhidan Wen. (2016). Characterization of CDOM from urban waters in Northern-Northeastern China using excitation-emission matrix fluorescence and parallel factor analysis. Environmental Science and Pollution Research. 23(15). 15381–15394. 49 indexed citations
20.
Jin, Xiuliang, Jianhang Ma, Zhidan Wen, & Kaishan Song. (2015). Estimation of Maize Residue Cover Using Landsat-8 OLI Image Spectral Information and Textural Features. Remote Sensing. 7(11). 14559–14575. 61 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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