Cong Xu

849 total citations
42 papers, 607 citations indexed

About

Cong Xu is a scholar working on Environmental Engineering, Ecology and Insect Science. According to data from OpenAlex, Cong Xu has authored 42 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Environmental Engineering, 20 papers in Ecology and 8 papers in Insect Science. Recurrent topics in Cong Xu's work include Remote Sensing and LiDAR Applications (20 papers), Remote Sensing in Agriculture (17 papers) and Forest Ecology and Biodiversity Studies (8 papers). Cong Xu is often cited by papers focused on Remote Sensing and LiDAR Applications (20 papers), Remote Sensing in Agriculture (17 papers) and Forest Ecology and Biodiversity Studies (8 papers). Cong Xu collaborates with scholars based in China, New Zealand and Canada. Cong Xu's co-authors include Justin Morgenroth, Darius Phiri, Bruce Manley, Yongxue Zhang, Jinya Zhang, Txomin Hermosilla, Ting Jiang, Hucan Hou, Zhenlin Li and Tenley M. Conway and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and The Science of The Total Environment.

In The Last Decade

Cong Xu

36 papers receiving 597 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cong Xu China 13 227 216 196 114 83 42 607
Veronika Kopačková Czechia 18 255 1.1× 251 1.2× 170 0.9× 26 0.2× 87 1.0× 51 868
Jiqun Zhang China 14 132 0.6× 123 0.6× 344 1.8× 28 0.2× 63 0.8× 42 736
Alfonso Vitti Italy 13 139 0.6× 175 0.8× 153 0.8× 41 0.4× 11 0.1× 41 541
José Cláudio Mura Brazil 15 236 1.0× 295 1.4× 129 0.7× 103 0.9× 16 0.2× 65 838
Yongchao Zhu China 15 116 0.5× 147 0.7× 128 0.7× 23 0.2× 43 0.5× 33 621
Jinsong Chen China 16 183 0.8× 145 0.7× 85 0.4× 23 0.2× 83 1.0× 64 811
Hui Deng China 11 108 0.5× 92 0.4× 124 0.6× 55 0.5× 50 0.6× 19 520
Vahideh Saeidi Japan 15 161 0.7× 298 1.4× 409 2.1× 14 0.1× 45 0.5× 25 814
Liu Jin China 11 104 0.5× 181 0.8× 82 0.4× 32 0.3× 16 0.2× 65 576
Chi‐Kuei Wang Taiwan 13 183 0.8× 301 1.4× 100 0.5× 30 0.3× 12 0.1× 44 562

Countries citing papers authored by Cong Xu

Since Specialization
Citations

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

Fields of papers citing papers by Cong Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Xu. A scholar is included among the top collaborators of Cong Xu 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 Cong Xu. Cong Xu 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.
Ye, Ning, Euan G. Mason, Cong Xu, & Justin Morgenroth. (2025). Estimating individual tree DBH and biomass of durable Eucalyptus using UAV LiDAR. Ecological Informatics. 89. 103169–103169. 5 indexed citations
3.
Li, Guiying, et al.. (2025). Spatiotemporal patterns of annual clear-cutting distribution in tropical and subtropical regions of China with time series Landsat and CCDC. Geo-spatial Information Science. 28(6). 2763–2780. 1 indexed citations
4.
Zhang, Jing, Cong Xu, Dawei Yan, et al.. (2025). Numerical simulation and experimental study on performance enhancement of proton exchange membrane fuel cell driven by magnetic field. Applied Thermal Engineering. 277. 127013–127013.
5.
Li, Yanjie, et al.. (2024). UAV-driven GWAS analysis of canopy temperature and new shoots genetics in slash pine. Industrial Crops and Products. 212. 118330–118330. 1 indexed citations
6.
Chen, Ang, Cong Xu, Min Zhang, et al.. (2024). Cross-scale mapping of above-ground biomass and shrub dominance by integrating UAV and satellite data in temperate grassland. Remote Sensing of Environment. 304. 114024–114024. 37 indexed citations
7.
Luan, Qifu, et al.. (2024). Estimating canopy chlorophyll in slash pine using multitemporal vegetation indices from uncrewed aerial vehicles (UAVs). Precision Agriculture. 25(2). 1086–1105. 5 indexed citations
8.
Li, Yanjie, et al.. (2024). Enhancing genomic association studies in slash pine through close-range UAV-based morphological phenotyping. SHILAP Revista de lepidopterología. 4(1). 0–0. 1 indexed citations
9.
Xu, Cong, et al.. (2024). Multitemporal UAV study of phenolic compounds in slash pine canopies. Remote Sensing of Environment. 315. 114454–114454. 2 indexed citations
10.
Zhang, Min, Ang Chen, Cong Xu, et al.. (2024). Two-tier classification framework for mapping grassland types using multisource earth observation data. GIScience & Remote Sensing. 61(1). 4 indexed citations
11.
Liu, Zhuo, Mahmoud Al-Sarayreh, Cong Xu, Federico Tomasetto, & Yanjie Li. (2023). ExtSpecR: An R Package and Tool for Extracting Tree Spectra from UAV-Based Remote Sensing. Plant Phenomics. 5. 103–103.
12.
Xu, Cong, et al.. (2023). Prediction of Needle Physiological Traits Using UAV Imagery for Breeding Selection of Slash Pine. Plant Phenomics. 5. 28–28. 8 indexed citations
13.
Xu, Cong, Dan Zhao, Zhaoju Zheng, et al.. (2023). Correction of UAV LiDAR-derived grassland canopy height based on scan angle. Frontiers in Plant Science. 14. 1108109–1108109. 11 indexed citations
14.
Ye, Ning, Justin Morgenroth, Cong Xu, & Zhanzhang Cai. (2022). Improving neural network classification of indigenous forest in New Zealand with phenological features. Journal of Environmental Management. 314. 115134–115134. 7 indexed citations
15.
Morgenroth, Justin, et al.. (2019). City-wide canopy cover decline due to residential property redevelopment in Christchurch, New Zealand. The Science of The Total Environment. 681. 202–210. 30 indexed citations
16.
Phiri, Darius, Justin Morgenroth, & Cong Xu. (2019). Long-term land cover change in Zambia: An assessment of driving factors. The Science of The Total Environment. 697. 134206–134206. 48 indexed citations
17.
Phiri, Darius, Justin Morgenroth, Cong Xu, & Txomin Hermosilla. (2018). Effects of pre-processing methods on Landsat OLI-8 land cover classification using OBIA and random forests classifier. International Journal of Applied Earth Observation and Geoinformation. 73. 170–178. 73 indexed citations
18.
Xu, Cong, Justin Morgenroth, & Bruce Manley. (2017). Mapping Net Stocked Plantation Area for Small-Scale Forests in New Zealand Using Integrated RapidEye and LiDAR Sensors. Forests. 8(12). 487–487. 11 indexed citations
19.
Wu, Ying, et al.. (2013). The improvement of setting time and early strength of fiber-reinforced concrete with high-volume fly ash. Composite Interfaces. 20(3). 201–209. 2 indexed citations
20.
Tan, Hua, et al.. (2005). Method to determine the melting temperatures of metals under megabar shock pressures. Applied Physics Letters. 87(22). 27 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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