Songlin Fei

6.6k total citations · 2 hit papers
177 papers, 4.3k citations indexed

About

Songlin Fei is a scholar working on Nature and Landscape Conservation, Ecology and Global and Planetary Change. According to data from OpenAlex, Songlin Fei has authored 177 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Nature and Landscape Conservation, 66 papers in Ecology and 65 papers in Global and Planetary Change. Recurrent topics in Songlin Fei's work include Ecology and Vegetation Dynamics Studies (57 papers), Forest Ecology and Biodiversity Studies (46 papers) and Remote Sensing and LiDAR Applications (40 papers). Songlin Fei is often cited by papers focused on Ecology and Vegetation Dynamics Studies (57 papers), Forest Ecology and Biodiversity Studies (46 papers) and Remote Sensing and LiDAR Applications (40 papers). Songlin Fei collaborates with scholars based in United States, Malawi and China. Songlin Fei's co-authors include Kevin M. Potter, Kim C. Steiner, Insu Jo, Christopher M. Oswalt, Qinfeng Guo, Basil V. Iannone, Liang Liang, Andrew M. Liebhold, Jonathan A. Knott and Gabriela C. Nunez‐Mir and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Songlin Fei

163 papers receiving 4.2k 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.

Divergence of species responses to climate change

2017 269 citations Songlin Fei, Kevin M. Potter et al. profile →
Multispecies forest plantations outyield monocultures across a broad range of conditions

2022 252 citations Yuhao Feng, Bernhard Schmid et al. Science profile →

Peers

Countries citing papers authored by Songlin Fei

Since Specialization

Citations

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

Fields of papers citing papers by Songlin Fei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songlin Fei

This figure shows the co-authorship network connecting the top 25 collaborators of Songlin Fei. A scholar is included among the top collaborators of Songlin Fei 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 Songlin Fei. Songlin Fei 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

#	Work	Indexed citations
1	Understanding the effects of spatial scaling on the relationship between urban structure and biodiversity 2025 ·International Journal of Applied Earth Observation and Geoinformation ·(unknown), Lindsay Darling, (unknown), J. Shao, (unknown), Songlin Fei, Brady S. Hardiman	0
2	Canopy complexity drives positive effects of tree diversity on productivity in two tree diversity experiments 2025 ·Ecology ·Catherine Fahey, (unknown), Jianmin Wang, Grant M. Domke, Joseph D. Edwards, Songlin Fei, Stephanie N. Kivlin, Elizabeth A. LaRue, Melissa McCormick, William J. McShea, Richard P. Phillips, (unknown), John D. Parker	3
3	General Approach for Forest Woody Debris Detection in Multi-Platform LiDAR Data 2025 ·Remote Sensing ·(unknown), (unknown), (unknown), Tian Zhou, Songlin Fei, Ayman Habib	2
4	Intelligent Fault Diagnosis of Rolling Bearings Based on Digital Twin and Multi-Scale CNN-AT-BiGRU Model 2025 ·Symmetry ·(unknown), (unknown), Shuxia Ye, (unknown), Chunhui Jiang, Zheng Ni, Zheng Zhao, (unknown), Songlin Fei, (unknown), (unknown), (unknown)	0
5	Forest feature LiDAR SLAM (F2-LSLAM) for backpack systems 2024 ·ISPRS Journal of Photogrammetry and Remote Sensing ·Tian Zhou, Chunxi Zhao, (unknown), Songlin Fei, Ayman Habib	7
6	The impacts of training data spatial resolution on deep learning in remote sensing 2024 ·SHILAP Revista de lepidopterología ·(unknown), Songlin Fei	1
7	LiDAR-Forest Dataset: LiDAR Point Cloud Simulation Dataset for Forestry Application 2024 ·(unknown), (unknown), J. Shao, Qianyu Guo, (unknown), Songlin Fei, Victor Chen	3
8	NEON-SD: A 30-m Structural Diversity Product Derived from the NEON Discrete-Return LiDAR Point Cloud 2024 ·Scientific Data ·Jianmin Wang, (unknown), Elizabeth A. LaRue, Jeff W. Atkins, Jane R. Foster, Jaclyn Hatala Matthes, Robert T. Fahey, Songlin Fei, Brady S. Hardiman	1
9	Tree Species Classification from UAV Canopy Images with Deep Learning Models 2024 ·Remote Sensing ·(unknown), (unknown), (unknown), Baijian Yang, (unknown), Jinha Jung, Songlin Fei	4
10	Large-scale inventory in natural forests with mobile LiDAR point clouds 2024 ·SHILAP Revista de lepidopterología ·J. Shao, Yi-Chun Lin, (unknown), (unknown), (unknown), (unknown), Ayman Habib, Songlin Fei	5
11	Low‐Profile Miniaturized Wideband Circularly Polarized Monopole and MIMO Antennas Using Characteristic Mode Analysis for Wireless Communication 2024 ·Radio Science ·(unknown), (unknown), Jin Yu, Nasimuddin Nasimuddin, M.Y.W. Chia, Songlin Fei, Hui Wang	2
12	Structural diversity as a reliable and novel predictor for ecosystem productivity 2023 ·Frontiers in Ecology and the Environment ·Elizabeth A. LaRue, Jonathan A. Knott, Grant M. Domke, (unknown), Qinfeng Guo, Masumi Hisano, Christopher M. Oswalt, Sonja N. Oswalt, Nicole Kong, Kevin M. Potter, Songlin Fei	65
13	Forest structural diversity is linked to soil microbial diversity 2023 ·Ecosphere ·Ashley K. Lang, Elizabeth A. LaRue, Stephanie N. Kivlin, Joseph D. Edwards, Richard P. Phillips, (unknown), Nicole Kong, John D. Parker, Melissa McCormick, Grant M. Domke, Songlin Fei	16
14	In Situ Calibration and Trajectory Enhancement of UAV and Backpack LiDAR Systems for Fine-Resolution Forest Inventory 2023 ·Remote Sensing ·Tian Zhou, Radhika Ravi, Yi-Chun Lin, (unknown), Songlin Fei, Ayman Habib	7
15	A Robust Stepwise Clustering Approach to Detect Individual Trees in Temperate Hardwood Plantations using Airborne LiDAR Data 2023 ·Remote Sensing ·Gang Shao, Songlin Fei, Guofan Shao	5
16	High-Resolution Canopy Height Model Generation and Validation Using USGS 3DEP LiDAR Data in Indiana, USA 2022 ·Remote Sensing ·Sungchan Oh, Jinha Jung, (unknown), Gang Shao, (unknown), Songlin Fei	22
17	Phenological response to climate variation in a northern red oak plantation: Links to survival and productivity 2022 ·Ecology ·Jonathan A. Knott, Liang Liang, Jeffrey S. Dukes, Robert K. Swihart, Songlin Fei	3
18	Multispecies forest plantations outyield monocultures across a broad range of conditions breakdown → 2022 ·Science ·Yuhao Feng, Bernhard Schmid, Michel Loreau, David I. Forrester, Songlin Fei, Jianxiao Zhu, Zhiyao Tang, Jiangling Zhu, Pubin Hong, Chengjun Ji, Yue Shi, Haojie Su, (unknown), Jian Xiao, Shaopeng Wang, Jingyun Fang	252
19	Leaf-Off and Leaf-On UAV LiDAR Surveys for Single-Tree Inventory in Forest Plantations 2021 ·Drones ·Yi-Chun Lin, (unknown), Songlin Fei, Ayman Habib	29
20	Delineation of individual deciduous trees in plantations with low-density LiDAR data 2018 ·International Journal of Remote Sensing ·Gang Shao, Guofan Shao, Songlin Fei	9

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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