Junjun Wu

1.8k total citations
70 papers, 1.3k citations indexed

About

Junjun Wu is a scholar working on Ecology, Soil Science and Global and Planetary Change. According to data from OpenAlex, Junjun Wu has authored 70 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Ecology, 37 papers in Soil Science and 21 papers in Global and Planetary Change. Recurrent topics in Junjun Wu's work include Soil Carbon and Nitrogen Dynamics (33 papers), Remote Sensing in Agriculture (16 papers) and Peatlands and Wetlands Ecology (15 papers). Junjun Wu is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (33 papers), Remote Sensing in Agriculture (16 papers) and Peatlands and Wetlands Ecology (15 papers). Junjun Wu collaborates with scholars based in China, Denmark and United States. Junjun Wu's co-authors include Xiaoli Cheng, Fan Yang, Xiaoli Cheng, Qiong Chen, Guihua Liu, Qian Zhang, Quanfa Zhang, Lei Yao, Jiao Feng and Dandan Zhang and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Environmental Pollution.

In The Last Decade

Junjun Wu

64 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junjun Wu China 23 757 570 265 207 196 70 1.3k
Lie Xiao China 21 920 1.2× 484 0.8× 231 0.9× 281 1.4× 110 0.6× 68 1.5k
Zhenggang Du China 15 755 1.0× 363 0.6× 291 1.1× 221 1.1× 124 0.6× 40 1.2k
Samantha R. Weintraub United States 18 992 1.3× 629 1.1× 153 0.6× 238 1.1× 396 2.0× 30 1.5k
Lorenzo Menichetti Sweden 15 785 1.0× 851 1.5× 322 1.2× 371 1.8× 303 1.5× 26 1.6k
Zhengxi Tan United States 18 750 1.0× 364 0.6× 269 1.0× 202 1.0× 234 1.2× 33 1.3k
Juan Pablo Fuentes Chile 19 589 0.8× 321 0.6× 272 1.0× 168 0.8× 94 0.5× 43 1.2k
Jener Fernando Leite de Moraes Brazil 11 718 0.9× 342 0.6× 312 1.2× 195 0.9× 133 0.7× 38 1.2k
Pujia Yu China 20 788 1.0× 385 0.7× 365 1.4× 213 1.0× 79 0.4× 45 1.4k
Jirui Gong China 25 609 0.8× 507 0.9× 447 1.7× 435 2.1× 133 0.7× 88 1.5k

Countries citing papers authored by Junjun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Junjun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junjun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Junjun Wu. A scholar is included among the top collaborators of Junjun 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 Junjun Wu. Junjun 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
3.
Zhong, Bo, Shanlong Wu, Aixia Yang, et al.. (2025). Improving AOD Algorithm Evaluation: A Spatial Matching Method for Minimizing Quality Control Bias. Remote Sensing. 17(7). 1235–1235.
4.
Zhong, Bo, et al.. (2025). SAM Enhanced Semantic Segmentation for Remote Sensing Imagery Without Additional Training. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16. 7 indexed citations
5.
Wu, Junjun, Hong Zhang, Xiaoxiang Zhao, et al.. (2024). Soil methane uptake is tightly linked to carbon dioxide emission in global upland ecosystems. Agriculture Ecosystems & Environment. 373. 109127–109127. 4 indexed citations
6.
Wu, Junjun, Hong Zhang, Xiaoli Cheng, & Guihua Liu. (2024). Ecosystem-atmosphere exchange of methane in global upland and wetland ecosystems. Agricultural and Forest Meteorology. 361. 110325–110325.
7.
Yang, Aixia, Bo Zhong, Xuelei Wang, et al.. (2024). 30 m 5-yearly land cover maps of Qilian Mountain Area (QMA_LC30) from 1990 to 2020. Scientific Data. 11(1). 1339–1339. 2 indexed citations
8.
Wu, Junjun, et al.. (2024). Tree stem methane emissions: Global patterns and controlling factors. Agricultural and Forest Meteorology. 350. 109976–109976. 2 indexed citations
9.
Wu, Junjun, et al.. (2024). Differential responses of temperature sensitivity of greenhouse gases emission to seasonal variations in plateau riparian zones. Environmental Pollution. 353. 124190–124190. 8 indexed citations
10.
Wu, Junjun, Hong Zhang, Yongtai Pan, et al.. (2023). Particulate organic carbon is more sensitive to nitrogen addition than mineral-associated organic carbon: A meta-analysis. Soil and Tillage Research. 232. 105770–105770. 47 indexed citations
11.
Wu, Junjun, et al.. (2023). Nitrogen addition stimulates litter decomposition rate: From the perspective of the combined effect of soil environment and litter quality. Soil Biology and Biochemistry. 179. 108992–108992. 40 indexed citations
12.
Yang, Aixia, et al.. (2023). Assessment of Land Cover Status and Change in the World and “the Belt and Road” Region from 2016 to 2020. Sensors. 23(16). 7158–7158. 4 indexed citations
13.
Huang, Lin, et al.. (2022). Fine-root functional trait response to nitrogen deposition across forest ecosystems: A meta-analysis. The Science of The Total Environment. 844. 157111–157111. 24 indexed citations
14.
Wu, Junjun, Jia Wei, Dandan Zhang, Guihua Liu, & Xiaoli Cheng. (2021). Case study on a coniferous plantation site about inter-annual shifts in microbial communities under short-term detritus input manipulations. Ecological Indicators. 130. 108053–108053. 2 indexed citations
15.
Feng, Jiao, Fan Yang, Junjun Wu, et al.. (2020). Contrasting soil C and N dynamics inferred from δ13C and δ15N values along a climatic gradient in southern China. Plant and Soil. 452(1-2). 217–231. 12 indexed citations
16.
Wu, Junjun, Qiong Chen, Wei Jia, et al.. (2020). Asymmetric response of soil methane uptake rate to land degradation and restoration: Data synthesis. Global Change Biology. 26(11). 6581–6593. 30 indexed citations
17.
Yang, Fan, et al.. (2020). Soil labile and recalcitrant carbon and nitrogen dynamics in relation to functional vegetation groups along precipitation gradients in secondary grasslands of South China. Environmental Science and Pollution Research. 27(10). 10528–10540. 17 indexed citations
18.
Zhang, Dandan, Jiao Feng, Fan Yang, et al.. (2020). Shift in functional plant groups under flooding impacted ecosystem C and N dynamics across riparian zones in the Three Gorges of China. The Science of The Total Environment. 724. 138302–138302. 8 indexed citations
19.
Wu, Junjun, Zhihai Gao, Zengyuan Li, et al.. (2014). Estimation for sparse vegetation information in desertification region based on Tiangong-1 hyperspectral image.. PubMed. 34(3). 751–6. 4 indexed citations
20.
Wu, Junjun, et al.. (2014). Analysis of soil respiration and components in Castanopsis carlesii and Cunninghamia lanceolata plantations. Chinese Journal of Plant Ecology. 38(1). 45–53. 9 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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