Hao Tang

6.4k total citations · 4 hit papers
101 papers, 3.9k citations indexed

About

Hao Tang is a scholar working on Environmental Engineering, Ecology and Global and Planetary Change. According to data from OpenAlex, Hao Tang has authored 101 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Environmental Engineering, 48 papers in Ecology and 38 papers in Global and Planetary Change. Recurrent topics in Hao Tang's work include Remote Sensing and LiDAR Applications (58 papers), Remote Sensing in Agriculture (44 papers) and Forest ecology and management (34 papers). Hao Tang is often cited by papers focused on Remote Sensing and LiDAR Applications (58 papers), Remote Sensing in Agriculture (44 papers) and Forest ecology and management (34 papers). Hao Tang collaborates with scholars based in United States, China and Singapore. Hao Tang's co-authors include Ralph Dubayah, John Armston, M. A. Hofton, J. B. Blair, Steven Hancock, Matthew C. Hansen, Laura Duncanson, James R. Kellner, S. B. Luthcke and S. J. Goetz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Hao Tang

84 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mapping global forest canopy height through integration of GEDI and Landsat data

2020 789 citations Matthew C. Hansen, Hao Tang et al. Remote Sensing of Environment profile →
The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography

2020 764 citations Ralph Dubayah, Temilola Fatoyinbo et al. SHILAP Revista de lepidopterología profile →
Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data

2021 158 citations Hao Tang et al. Remote Sensing of Environment profile →
GEDI launches a new era of biomass inference from space

2022 137 citations Ralph Dubayah, John Armston et al. Environmental Research Letters profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hao Tang United States	28	2.6k	2.2k	1.6k	1.4k	353	101	3.9k
Laura Duncanson United States	31	2.8k 1.1×	1.9k 0.9×	1.5k 0.9×	1.8k 1.2×	304 0.9×	79	3.8k
Mariano Garcı́a Spain	31	1.7k 0.7×	1.6k 0.7×	1.7k 1.0×	926 0.6×	214 0.6×	75	3.0k
Donald G. Leckie Canada	24	1.9k 0.7×	1.7k 0.8×	990 0.6×	1.1k 0.8×	222 0.6×	64	2.9k
Douglas J. King Canada	30	1.7k 0.6×	2.1k 1.0×	1.2k 0.7×	871 0.6×	391 1.1×	80	3.4k
K.I. Itten Switzerland	27	1.8k 0.7×	2.0k 0.9×	1.1k 0.7×	646 0.4×	566 1.6×	127	3.4k
Lars T. Waser‬ Switzerland	24	1.7k 0.6×	1.7k 0.8×	765 0.5×	701 0.5×	198 0.6×	65	2.5k
Glenn Newnham Australia	32	3.4k 1.3×	2.5k 1.2×	1.8k 1.1×	2.3k 1.6×	360 1.0×	63	5.1k
Felix Morsdorf Switzerland	37	3.5k 1.3×	2.5k 1.2×	1.3k 0.8×	2.1k 1.5×	259 0.7×	96	4.7k
Fabian Ewald Fassnacht Germany	36	2.5k 1.0×	3.2k 1.5×	1.5k 0.9×	1.2k 0.8×	308 0.9×	89	4.5k
Håkan Olsson Sweden	32	3.2k 1.2×	1.7k 0.8×	906 0.6×	2.2k 1.5×	204 0.6×	93	3.9k

Countries citing papers authored by Hao Tang

Since Specialization

Citations

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

Fields of papers citing papers by Hao Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Tang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tang, Hao, et al.. (2025). Two-stream structure-oriented neighbor enhancement network for dental model segmentation. Engineering Applications of Artificial Intelligence. 150. 110618–110618.

Yan, Guangjian, Hailan Jiang, Yongguang Li, et al.. (2025). Accuracy Assessment of GEDI and ICESat-2 Canopy Height Products by Excluding Geolocation Error Based on Virtual Sampling Units. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–21.

Tang, Hao, et al.. (2024). Optimal Planning for Wind Turbines in Mega Seaports Considering Practical Application Constraints: A Case Study of Ningbo-Zhoushan Port. Journal of Marine Science and Engineering. 12(4). 631–631. 7 indexed citations

Yan, Guangjian, Donghui Xie, Hailan Jiang, et al.. (2024). Accurate spaceborne waveform simulation in heterogeneous forests using small-footprint airborne LiDAR point clouds. ISPRS Journal of Photogrammetry and Remote Sensing. 220. 246–263.

Ma, Lixia, et al.. (2024). Quantifying the Plant Area Index of Overstory and Understory Vegetation on Sloped Terrain Using Single-Station Terrestrial Laser Scanner. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–19.

Hurtt, G. C., Lei Ma, Elliott Campbell, et al.. (2024). Beyond MRV: combining remote sensing and ecosystem modeling for geospatial monitoring and attribution of forest carbon fluxes over Maryland, USA. Environmental Research Letters. 19(12). 124058–124058.

Zhang, Geli, Yao Zhang, Xiangming Xiao, et al.. (2024). Coupling GEDI LiDAR and Optical Satellite for Revealing Large‐Scale Maize Lodging in Northeast China. Earth s Future. 12(1). 4 indexed citations

Hou, Zhengyang, Göran Ståhl, Ronald E. McRoberts, et al.. (2023). Conjugating remotely sensed data assimilation and model-assisted estimation for efficient multivariate forest inventory. Remote Sensing of Environment. 299. 113854–113854. 6 indexed citations

Tang, Hao, Yuezhe Li, Zhiting Lin, et al.. (2023). A High Throughput In-MRAM-Computing Scheme Using Hybrid p-SOT-MTJ/GAA-CNTFET. IEEE Transactions on Circuits and Systems I Regular Papers. 71(2). 606–619. 15 indexed citations

10.

Cushman, K. C., John Armston, Ralph Dubayah, et al.. (2023). Impact of leaf phenology on estimates of aboveground biomass density in a deciduous broadleaf forest from simulated GEDI lidar. Environmental Research Letters. 18(6). 65009–65009. 7 indexed citations

11.

Ma, Lei, G. C. Hurtt, Lesley Ott, et al.. (2022). Global evaluation of the Ecosystem Demography model (ED v3.0). Geoscientific model development. 15(5). 1971–1994. 15 indexed citations

12.

Cobb, Ale×ander R., René Dommain, Rahayu Sukmaria Sukri, et al.. (2022). Improved terrain estimation from spaceborne lidar in tropical peatlands using spatial filtering. SHILAP Revista de lepidopterología. 7. 100074–100074. 6 indexed citations

13.

Ma, Lei, G. C. Hurtt, Lesley Ott, et al.. (2021). Global Evaluation of the Ecosystem Demography Model (ED v3.0). Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations

14.

Tang, Hao, et al.. (2020). High-resolution forest carbon mapping for climate mitigation baselines over the RGGI region, USA. Environmental Research Letters. 16(3). 35011–35011. 17 indexed citations

15.

Stovall, Atticus, David Lagomasino, Seung-Kuk Lee, et al.. (2019). Terrestrial laser scanning improves LiDAR and radar biomass calibration in tallest mangrove forest on Earth. AGU Fall Meeting Abstracts. 2019. 1 indexed citations

16.

Li, Guoliang, Yongqing Xu, Liu Z, et al.. (2018). Photosynthesis-light response models for varieties of sweet potato.. Fujian nongye xuebao. 33(7). 687–690. 1 indexed citations

17.

Wu, Jian, et al.. (2016). Review and prospect of research on polycyclic aromatic hydrocarbons in soil environment: a bibliometric analysis based on megadata of Web of Science.. Acta Pedologica Sinica. 53(5). 1085–1096. 1 indexed citations

18.

Tang, Hao, et al.. (2016). Characterizing leaf area index (LAI) and vertical foliage profile (VFP) over the United States. Biogeosciences. 13(1). 239–252. 38 indexed citations

19.

Hurtt, G. C., Ralph Dubayah, J. Fisk, et al.. (2015). High-Resolution Modeling Disturbance-Induced Forest Carbon Dynamics with Lidar and Landsat Observations. 2015 AGU Fall Meeting. 2015. 1 indexed citations

20.

Tang, Hao. (2010). Causes,Performance and Development Trends of Rural Land Transmission Mode.

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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