Xianting Wu

2.0k total citations
37 papers, 1.5k citations indexed

About

Xianting Wu is a scholar working on Plant Science, Ecology and Environmental Engineering. According to data from OpenAlex, Xianting Wu has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 17 papers in Ecology and 13 papers in Environmental Engineering. Recurrent topics in Xianting Wu's work include Remote Sensing in Agriculture (17 papers), Remote Sensing and LiDAR Applications (13 papers) and Remote Sensing and Land Use (8 papers). Xianting Wu is often cited by papers focused on Remote Sensing in Agriculture (17 papers), Remote Sensing and LiDAR Applications (13 papers) and Remote Sensing and Land Use (8 papers). Xianting Wu collaborates with scholars based in China, United States and Germany. Xianting Wu's co-authors include Renshan Zhu, Yan Gong, Yi Peng, Paula McSteen, Bo Duan, Shenghui Fang, Andrea L. Skirpan, Shenghui Fang, Yi Ma and Alexander M. Bittner and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Xianting Wu

36 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xianting Wu China 21 894 632 327 253 164 37 1.5k
Guangyao Wang China 19 493 0.6× 273 0.4× 105 0.3× 63 0.2× 41 0.3× 74 1.5k
Lingfeng Duan China 20 1.3k 1.4× 431 0.7× 126 0.4× 278 1.1× 23 0.1× 38 1.7k
Zhongyu Sun China 16 192 0.2× 301 0.5× 96 0.3× 85 0.3× 42 0.3× 69 1.4k
Xiong Li China 27 993 1.1× 163 0.3× 41 0.1× 404 1.6× 44 0.3× 105 2.4k
Chiara Giorio United Kingdom 28 510 0.6× 88 0.1× 194 0.6× 175 0.7× 688 4.2× 67 3.1k
Ilda Abreu Portugal 26 634 0.7× 115 0.2× 83 0.3× 187 0.7× 154 0.9× 98 1.9k
Laury Chaerle Belgium 17 1.3k 1.5× 373 0.6× 67 0.2× 363 1.4× 29 0.2× 28 1.6k
Domingo Sancho‐Knapik Spain 27 1.2k 1.4× 248 0.4× 43 0.1× 220 0.9× 399 2.4× 64 2.0k
Yanjie Liu China 24 754 0.8× 291 0.5× 22 0.1× 137 0.5× 49 0.3× 82 2.0k
Marcus Griffiths United States 16 964 1.1× 150 0.2× 74 0.2× 286 1.1× 17 0.1× 28 1.4k

Countries citing papers authored by Xianting Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xianting Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianting Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xianting Wu. A scholar is included among the top collaborators of Xianting 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 Xianting Wu. Xianting 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.
Fang, Shenghui, et al.. (2025). UAV-based rice aboveground biomass estimation using a random forest model with multi-organ feature selection. European Journal of Agronomy. 164. 127529–127529. 4 indexed citations
2.
Ashfaq, Muhammad, Renshan Zhu, Muhammad Arshad Javed, et al.. (2023). Genome-Wide Association Mapping for Yield and Yield-Related Traits in Rice (Oryza Sativa L.) Using SNPs Markers. Genes. 14(5). 1089–1089. 6 indexed citations
3.
Wu, Xianting, Yi Peng, Shenghui Fang, et al.. (2023). Application of UAV-retrieved canopy spectra for remote evaluation of rice full heading date. SHILAP Revista de lepidopterología. 7. 100090–100090. 9 indexed citations
4.
Ashfaq, Muhammad, Renshan Zhu, Muhammad Ali, et al.. (2023). Adaptation and High Yield Performance of Honglian Type Hybrid Rice in Pakistan with Desirable Agricultural Traits. Agriculture. 13(2). 242–242. 3 indexed citations
5.
Peng, Yi, Alexei Solovchenko, Xianting Wu, et al.. (2023). Remote sensing of rice phenology and physiology via absorption coefficient derived from unmanned aerial vehicle imaging. Precision Agriculture. 25(1). 285–302. 4 indexed citations
6.
Gong, Yan, et al.. (2022). Combining spectral and wavelet texture features for unmanned aerial vehicles remote estimation of rice leaf area index. Frontiers in Plant Science. 13. 957870–957870. 31 indexed citations
7.
Yuan, Zhengqing, Haifei Hu, Ting Liang, et al.. (2021). Genome-Wide Identification and Expansion Patterns of SULTR Gene Family in Gramineae Crops and Their Expression Profiles under Abiotic Stress in Oryza sativa. Genes. 12(5). 634–634. 18 indexed citations
8.
Liang, Ting, Bo Duan, Yi Ma, et al.. (2021). Identification of High Nitrogen Use Efficiency Phenotype in Rice (Oryza sativa L.) Through Entire Growth Duration by Unmanned Aerial Vehicle Multispectral Imagery. Frontiers in Plant Science. 12. 740414–740414. 21 indexed citations
9.
Duan, Bo, Shenghui Fang, Yan Gong, et al.. (2021). Remote estimation of grain yield based on UAV data in different rice cultivars under contrasting climatic zone. Field Crops Research. 267. 108148–108148. 69 indexed citations
10.
11.
Duan, Bo, Shenghui Fang, Renshan Zhu, et al.. (2019). Remote Estimation of Rice Yield With Unmanned Aerial Vehicle (UAV) Data and Spectral Mixture Analysis. Frontiers in Plant Science. 10. 204–204. 84 indexed citations
12.
Duan, Bo, Yating Liu, Yan Gong, et al.. (2019). Remote estimation of rice LAI based on Fourier spectrum texture from UAV image. Plant Methods. 15(1). 124–124. 90 indexed citations
13.
Fang, Shenghui, Xianting Wu, Yan Gong, et al.. (2019). Novel and Automatic Rice Thickness Extraction Based on Photogrammetry Using Rice Edge Features. Sensors. 19(24). 5561–5561. 9 indexed citations
14.
Gong, Yan, Bo Duan, Shenghui Fang, et al.. (2018). Remote estimation of rapeseed yield with unmanned aerial vehicle (UAV) imaging and spectral mixture analysis. Plant Methods. 14(1). 70–70. 80 indexed citations
15.
Gao, Fangyuan, Xianting Wu, Xianjun Lu, et al.. (2016). Bph32, a novel gene encoding an unknown SCR domain-containing protein, confers resistance against the brown planthopper in rice. Scientific Reports. 6(1). 37645–37645. 112 indexed citations
16.
Wu, Xianting, Jiajie Wu, Jennifer Bragg, et al.. (2013). Phylogenetic, Molecular, and Biochemical Characterization of Caffeic Acid o-Methyltransferase Gene Family in Brachypodium distachyon. PubMed. 2013. 1–12. 21 indexed citations
17.
18.
Skirpan, Andrea L., Xianting Wu, & Paula McSteen. (2008). Genetic and physical interaction suggest that BARREN STALK1 is a target of BARREN INFLORESCENCE2 in maize inflorescence development. The Plant Journal. 55(5). 787–797. 57 indexed citations
19.
Wu, Xianting & Paula McSteen. (2007). The role of auxin transport during inflorescence development in maize (Zea mays, Poaceae). American Journal of Botany. 94(11). 1745–1755. 60 indexed citations
20.
Wu, Xianting, Alexander M. Bittner, & Klaus Kern. (2004). Microcontact Printing of CdS/Dendrimer Nanocomposite Patterns on Silicon Wafers. Advanced Materials. 16(5). 413–417. 42 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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