Huaqiang Du

3.8k total citations
137 papers, 2.9k citations indexed

About

Huaqiang Du is a scholar working on Global and Planetary Change, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Huaqiang Du has authored 137 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Global and Planetary Change, 67 papers in Ecology and 43 papers in Nature and Landscape Conservation. Recurrent topics in Huaqiang Du's work include Remote Sensing in Agriculture (64 papers), Land Use and Ecosystem Services (45 papers) and Plant Water Relations and Carbon Dynamics (40 papers). Huaqiang Du is often cited by papers focused on Remote Sensing in Agriculture (64 papers), Land Use and Ecosystem Services (45 papers) and Plant Water Relations and Carbon Dynamics (40 papers). Huaqiang Du collaborates with scholars based in China, Australia and Finland. Huaqiang Du's co-authors include Guomo Zhou, Fangjie Mao, Xiaojun Xu, Xuejian Li, Yongjun Shi, Ning Han, Yufeng Zhou, Di’en Zhu, Zihao Huang and Hongli Ge and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Ecology Letters.

In The Last Decade

Huaqiang Du

132 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huaqiang Du China 33 1.6k 1.2k 864 701 689 137 2.9k
Yi Lin China 29 1.1k 0.7× 1.2k 1.0× 1.7k 2.0× 412 0.6× 605 0.9× 125 3.4k
Bangqian Chen China 28 1.6k 1.0× 1.9k 1.6× 1.0k 1.2× 319 0.5× 322 0.5× 76 3.1k
Baodong Xu China 25 2.4k 1.5× 2.1k 1.8× 1.1k 1.3× 595 0.8× 308 0.4× 88 3.8k
John P. Caspersen Canada 29 1.9k 1.2× 708 0.6× 654 0.8× 295 0.4× 1.6k 2.3× 75 3.2k
Janne Heiskanen Finland 31 1.3k 0.8× 1.9k 1.6× 1.5k 1.8× 317 0.5× 783 1.1× 118 3.2k
Xiaocui Wu United States 28 2.0k 1.3× 1.4k 1.1× 543 0.6× 379 0.5× 185 0.3× 59 2.8k
Mukunda Dev Behera India 30 1.2k 0.8× 1.0k 0.9× 619 0.7× 227 0.3× 705 1.0× 135 2.6k
L. Monika Moskal United States 29 1.2k 0.8× 2.0k 1.7× 2.4k 2.7× 400 0.6× 1.1k 1.7× 75 3.4k
Fangjie Mao China 26 965 0.6× 760 0.6× 508 0.6× 380 0.5× 408 0.6× 78 1.7k

Countries citing papers authored by Huaqiang Du

Since Specialization
Citations

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

Fields of papers citing papers by Huaqiang Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huaqiang Du

This figure shows the co-authorship network connecting the top 25 collaborators of Huaqiang Du. A scholar is included among the top collaborators of Huaqiang Du 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 Huaqiang Du. Huaqiang Du 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.
Virk, Ahmad Latif, Awais Shakoor, Naeem Ahmad, et al.. (2025). Organic amendments restore soil biological properties under pesticides application. Pesticide Biochemistry and Physiology. 210. 106394–106394. 1 indexed citations
2.
Huang, Zihao, et al.. (2025). Integrating LUCC and forest aging to project and attribute subtropical forest NEP in Zhejiang Province under four SSP-RCP scenarios. Agricultural and Forest Meteorology. 365. 110462–110462. 5 indexed citations
3.
4.
Fan, Weiliang, Jun Wu, Guang Zheng, et al.. (2025). Retrieving the Leaf Area Index of Dense and Highly Clumped Moso Bamboo Canopies from Sentinel-2 MSI Data. Remote Sensing. 17(11). 1891–1891.
5.
Ju, Chenghui, Xia Xu, Guomo Zhou, et al.. (2024). Unveiling Pervasive Soil Microbial P Limitation in Terrestrial Ecosystems Worldwide. Ecology Letters. 27(11). e70011–e70011. 7 indexed citations
6.
Tan, Cheng Yong, Huaqiang Du, Chao Chen, et al.. (2024). Detection of the Infection Stage of Pine Wilt Disease and Spread Distance Using Monthly UAV-Based Imagery and a Deep Learning Approach. Remote Sensing. 16(2). 364–364. 8 indexed citations
7.
Chen, Chao, Xuejian Li, Fangjie Mao, et al.. (2024). UAV-LiDAR Integration with Sentinel-2 Enhances Precision in AGB Estimation for Bamboo Forests. Remote Sensing. 16(4). 705–705. 15 indexed citations
8.
Mao, Fangjie, Huaqiang Du, Xuejian Li, et al.. (2023). Spatiotemporal dynamic of subtropical forest carbon storage and its resistance and resilience to drought in China. Frontiers in Plant Science. 14. 1067552–1067552. 11 indexed citations
9.
Du, Huaqiang, et al.. (2023). Spatiotemporal patterns of net primary productivity of subtropical forests in China and its response to drought. The Science of The Total Environment. 913. 169439–169439. 16 indexed citations
10.
Zhu, Di’en, et al.. (2023). Using UAV LiDAR Intensity Frequency and Hyperspectral Features to Improve the Accuracy of Urban Tree Species Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 2849–2865. 11 indexed citations
11.
Li, Xuejian, Huaqiang Du, Fangjie Mao, et al.. (2023). Wavelet Vegetation Index to Improve the Inversion Accuracy of Leaf V25cmax of Bamboo Forests. Remote Sensing. 15(9). 2362–2362. 8 indexed citations
12.
Li, Xuejian, et al.. (2023). A Deep Learning Network for Individual Tree Segmentation in UAV Images with a Coupled CSPNet and Attention Mechanism. Remote Sensing. 15(18). 4420–4420. 21 indexed citations
13.
Zhou, Lv, et al.. (2023). Urban Forest Above-Ground Biomass Estimation Based on UAV 3D Real Scene. Drones. 7(7). 455–455. 4 indexed citations
14.
Huang, Zihao, Xuejian Li, Huaqiang Du, et al.. (2023). An Algorithm of Forest Age Estimation Based on the Forest Disturbance and Recovery Detection. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–18. 15 indexed citations
15.
16.
Huang, Huaguo, et al.. (2023). Early detection of pine shoot beetle attack using vertical profile of plant traits through UAV-based hyperspectral, thermal, and lidar data fusion. International Journal of Applied Earth Observation and Geoinformation. 125. 103549–103549. 15 indexed citations
17.
Fan, Weiliang, Jing Li, Qinhuo Liu, et al.. (2018). Topographic Correction of Forest Image Data Based on the Canopy Reflectance Model for Sloping Terrains in Multiple Forward Mode. Remote Sensing. 10(5). 717–717. 21 indexed citations
18.
Liu, Yuli, Guomo Zhou, Huaqiang Du, et al.. (2018). Soil respiration of a Moso bamboo forest significantly affected by gross ecosystem productivity and leaf area index in an extreme drought event. PeerJ. 6. e5747–e5747. 12 indexed citations
19.
Du, Huaqiang, et al.. (2013). [Retrieval of leaf area index of moso bamboo forest with Landsat Thematic Mapper image based on PROSAIL canopy radiative transfer model].. PubMed. 24(8). 2248–56. 14 indexed citations
20.
Xu, Xiaojun, et al.. (2012). Bamboo forest change and its effect on biomass carbon stocks: a case study of Anji County, Zhejiang Province, China.. JOURNAL OF TROPICAL FOREST SCIENCE. 24(3). 426–435. 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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