Lei Tian

48 papers receiving 1.3k citations

Lei Tian's Hit Papers

Review of Remote Sensing-Based Methods for Forest Aboveground Biomass Estimation: Progress, Challenges, and Prospects 2023 · 91 citations
910+1+2Years since publication255075

Peers

Lei Tian
Comparison fields: 5 of 106
  • Water Science and Technology 428
  • General Energy 18
  • Pollution 190
  • Environmental Engineering 219
  • Global and Planetary Change 286
Replace Robert Link with:
Robert Link United States
Sue Vink Australia
Thorben Amann Germany
J. R. Yearsley United States
François Colin France
Linus Mofor United Kingdom
Jiao Wang China
T.J. Heimovaara Netherlands
Katsumasa Tanaka Japan
Lei Tian relative to Robert Link United States Robert Link's profile →
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Citations per year

Countries citing papers authored by Lei Tian

Since Specialization
Citations

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

Fields of papers citing papers by Lei Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lei Tian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lei Tian Line = papers co-authored together Lei Tian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019214
2 2021136
3 2022108
4 2012107
5 2019105
6
Review of Remote Sensing-Based Methods for Forest Aboveground Biomass Estimation: Progress, Challenges, and Prospects
Hit paper breakdown →
202391
7 201768
8 201262
9 201448
10 201327
11 202326
12 202225
13 201224
14 202224
15 202121
16 202120
17 201619
18 202217
19 202117
20 202217

About Lei Tian

Lei Tian is a scholar working on Global and Planetary Change, Ecology, Environmental Engineering, Artificial Intelligence and Atmospheric Science, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (7 papers), Remote Sensing in Agriculture (6 papers), Forest ecology and management (5 papers), Membrane Separation Technologies (5 papers), Earthquake Detection and Analysis (5 papers), earthquake and tectonic studies (4 papers), Remote Sensing and LiDAR Applications (4 papers) and Hydrocarbon exploration and reservoir analysis (3 papers). The work is most often cited by research in Water Science and Technology (428 citations), General Energy (18 citations), Pollution (190 citations), Environmental Engineering (219 citations) and Global and Planetary Change (286 citations). Lei Tian has collaborated with scholars based in China, Finland and Ghana. Frequent co-authors include Mingyang Li, Chi Jiang, Yingfei Hou, Q. Jason Niu, Tao Yu, Wenxue Fu, Xiaoping Huang, Shengshan Bi, Jiangtao Wu and Yanyi Zeng. Their work appears in journals such as Remote Sensing, Journal of Membrane Science, CATENA, Forests and Water.

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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