Hao Tang

6.4k citations
101 papers · 3.9k indexed · 4 hit papers · h-index 28
Topics
Remote Sensing and LiDAR Applications (58 papers)Remote Sensing in Agriculture (44 papers)Forest ecology and management (34 papers)

In The Last Decade

Hao Tang

84 papers receiving 3.8k citations

Hit Papers

Mapping global forest canopy height through integration o...20202026202220242020202020212022250500750

Peers

Hao Tang
Comparison fields: 5 of 119
  • Environmental Engineering 2.6k
  • Ecology 2.2k
  • Global and Planetary Change 1.6k
  • Nature and Landscape Conservation 1.4k
  • Atmospheric Science 353
Replace Laura Duncanson with:
Laura Duncanson United States
Jan U.H. Eitel United States
Felix Morsdorf Switzerland
Paul Treitz Canada
Glenn Newnham Australia
Darius Culvenor Australia
Miina Rautiainen Finland
P. Lewis United Kingdom
Jean‐Philippe Gastellu‐Etchegorry France
Hao Tang relative to Laura Duncanson United States Laura Duncanson's profile →
Citations per field
00.5×1.5×1.8×
Laura Duncanson · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 7
4 0
5 1
6 0
7 0
8 0
9 4
10 6
11 23
12 15
13 12
14 6
15
GEDI launches a new era of biomass inference from spacebreakdown →
137
16 3
17 17
18 1
19 41
20 36

About Hao Tang

Hao Tang is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Ecology, having authored 101 papers that have together received 3.9k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (58 papers), Remote Sensing in Agriculture (44 papers) and Forest ecology and management (34 papers). The work is most often cited by research in Environmental Engineering (2.6k citations), Nature and Landscape Conservation (1.4k citations) and Ecology (2.2k citations). Hao Tang has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Ralph Dubayah, John Armston, M. A. Hofton, Steven Hancock, J. B. Blair, Matthew C. Hansen, Laura Duncanson, James R. Kellner, S. B. Luthcke and S. J. Goetz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

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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