Yantong Wu

669 total citations · 1 hit paper
9 papers, 515 citations indexed

About

Yantong Wu is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Yantong Wu has authored 9 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Ecology, 5 papers in Global and Planetary Change and 3 papers in Environmental Engineering. Recurrent topics in Yantong Wu's work include Remote Sensing in Agriculture (6 papers), Plant Water Relations and Carbon Dynamics (4 papers) and Remote Sensing and LiDAR Applications (3 papers). Yantong Wu is often cited by papers focused on Remote Sensing in Agriculture (6 papers), Plant Water Relations and Carbon Dynamics (4 papers) and Remote Sensing and LiDAR Applications (3 papers). Yantong Wu collaborates with scholars based in China, United Kingdom and United States. Yantong Wu's co-authors include Hai Huang, Jianxi Huang, Shunlin Liang, Zhongxin Chen, Jing‐Hao Xue, José Gómez‐Dans, Qingling Wu, P. Lewis, Hongyuan Ma and Feng Zhao and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, International Journal of Biological Macromolecules and Agricultural and Forest Meteorology.

In The Last Decade

Yantong Wu

9 papers receiving 507 citations

Hit Papers

Assimilation of remote sensing into crop growth models: C... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yantong Wu China 6 293 224 198 120 117 9 515
Jie Dong China 15 479 1.6× 234 1.0× 271 1.4× 76 0.6× 138 1.2× 33 780
Ermes Movedi Italy 14 146 0.5× 242 1.1× 123 0.6× 118 1.0× 74 0.6× 31 478
Ricardo P. Braga Portugal 9 114 0.4× 166 0.7× 120 0.6× 59 0.5× 112 1.0× 17 373
Fabienne Maupas France 8 450 1.5× 381 1.7× 167 0.8× 34 0.3× 208 1.8× 14 636
Livia Paleari Italy 15 129 0.4× 256 1.1× 100 0.5× 118 1.0× 78 0.7× 36 497
Oz Kira Israel 13 301 1.0× 242 1.1× 180 0.9× 21 0.2× 95 0.8× 22 529
Jonathan Richetti Australia 10 145 0.5× 166 0.7× 73 0.4× 68 0.6× 46 0.4× 24 349
Rojalin Tripathy India 10 100 0.3× 140 0.6× 82 0.4× 92 0.8× 43 0.4× 13 293
Dieter Trautz Germany 12 174 0.6× 257 1.1× 84 0.4× 42 0.3× 91 0.8× 42 541
Gail Jackson United Kingdom 12 182 0.6× 308 1.4× 259 1.3× 51 0.4× 82 0.7× 26 576

Countries citing papers authored by Yantong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yantong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yantong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yantong Wu. A scholar is included among the top collaborators of Yantong 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 Yantong Wu. Yantong Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Ren, Yuanyuan, et al.. (2024). Acryloyl chitosan as a macro-crosslinker for freezing-resistant, self-healing and self-adhesive ionogels-based multicompetent flexible sensors. International Journal of Biological Macromolecules. 273(Pt 1). 133002–133002. 5 indexed citations
2.
Huang, Hai, Jianxi Huang, Yantong Wu, et al.. (2023). The Improved Winter Wheat Yield Estimation by Assimilating GLASS LAI Into a Crop Growth Model With the Proposed Bayesian Posterior-Based Ensemble Kalman Filter. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–18. 73 indexed citations
3.
Huang, Hai, Jianxi Huang, Xuecao Li, et al.. (2022). A dataset of winter wheat aboveground biomass in China during 2007–2015 based on data assimilation. Scientific Data. 9(1). 200–200. 32 indexed citations
4.
Wu, Yantong, Wenbo Xu, Hai Huang, & Jianxi Huang. (2022). Bayesian Posterior-Based Winter Wheat Yield Estimation at the Field Scale through Assimilation of Sentinel-2 Data into WOFOST Model. Remote Sensing. 14(15). 3727–3727. 14 indexed citations
5.
Wu, Yantong, Hai Huang, Wenbo Xu, & Jianxi Huang. (2022). Field Scale Winter Wheat Yield Estimation with Sentinel-2 Data and a Process Based Model. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 6065–6068. 2 indexed citations
6.
Wu, Yantong, Yuanyuan Ren, Liang Yu, & Yongjin Li. (2022). Semi-IPN ionogel based on poly (ionic liquids)/xanthan gum for highly sensitive pressure sensor. International Journal of Biological Macromolecules. 223. 327–334. 17 indexed citations
7.
Huang, Hai, Jianxi Huang, & Yantong Wu. (2020). Markov Chain Monte Carlo and Four-Dimensional Variational Approach Based Winter Wheat Yield Estimation. 5290–5293. 5 indexed citations
8.
Wu, Yantong, Wenbo Xu, Hai Huang, et al.. (2020). Winter Wheat Yield Estimation at the Field Scale By Assimilating Sentinel-2 LAI into Crop Growth Model. 19. 4383–4386. 1 indexed citations
9.
Huang, Jianxi, José Gómez‐Dans, Hai Huang, et al.. (2019). Assimilation of remote sensing into crop growth models: Current status and perspectives. Agricultural and Forest Meteorology. 276-277. 107609–107609. 366 indexed citations breakdown →

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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