Xiaowei Yu

9.9k total citations · 4 hit papers
102 papers, 7.7k citations indexed

About

Xiaowei Yu is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Insect Science. According to data from OpenAlex, Xiaowei Yu has authored 102 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Environmental Engineering, 79 papers in Nature and Landscape Conservation and 57 papers in Insect Science. Recurrent topics in Xiaowei Yu's work include Remote Sensing and LiDAR Applications (101 papers), Forest ecology and management (79 papers) and Forest Ecology and Biodiversity Studies (57 papers). Xiaowei Yu is often cited by papers focused on Remote Sensing and LiDAR Applications (101 papers), Forest ecology and management (79 papers) and Forest Ecology and Biodiversity Studies (57 papers). Xiaowei Yu collaborates with scholars based in Finland, China and Japan. Xiaowei Yu's co-authors include Juha Hyyppä, Harri Kaartinen, Mikko Vastaranta, Markus Holopainen, Antero Kukko, Hannu Hyyppä, Matti Maltamo, Xinlian Liang, Anttoni Jaakkola and Ville Kankare and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Xiaowei Yu

99 papers receiving 7.3k 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.

Terrestrial laser scanning in forest inventories

2016 627 citations Xinlian Liang, Ville Kankare et al. ISPRS Journal of Photogrammetry and Remote Sensing profile →
Review of methods of small‐footprint airborne laser scanning for extracting forest inventory data in boreal forests

2008 517 citations Juha Hyyppä, Hannu Hyyppä et al. International Journal of Remote Sensing profile →
An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning

2012 400 citations Harri Kaartinen, Juha Hyyppä et al. Remote Sensing profile →
Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging

2017 344 citations Olli Nevalainen, Eija Honkavaara et al. Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaowei Yu Finland	46	7.2k	4.4k	3.0k	2.6k	1.8k	102	7.7k
Mikko Vastaranta Finland	41	7.2k 1.0×	4.7k 1.1×	2.9k 1.0×	2.9k 1.1×	1.4k 0.8×	175	8.2k
Markus Holopainen Finland	38	5.8k 0.8×	3.8k 0.9×	2.4k 0.8×	2.4k 0.9×	1.2k 0.7×	160	6.8k
Hannu Hyyppä Finland	45	5.9k 0.8×	3.0k 0.7×	2.0k 0.7×	2.5k 1.0×	2.1k 1.2×	192	7.4k
Harri Kaartinen Finland	51	7.8k 1.1×	3.6k 0.8×	2.4k 0.8×	2.7k 1.1×	3.2k 1.8×	191	9.2k
Xinlian Liang Finland	40	4.9k 0.7×	2.8k 0.6×	1.8k 0.6×	1.4k 0.5×	1.7k 1.0×	123	5.5k
Terje Gobakken Norway	56	8.8k 1.2×	6.4k 1.4×	3.4k 1.1×	4.5k 1.7×	1.1k 0.6×	243	10.5k
Johan Holmgren Sweden	31	4.4k 0.6×	3.2k 0.7×	2.0k 0.7×	1.5k 0.6×	664 0.4×	69	4.6k
Kim Calders Belgium	38	4.3k 0.6×	3.3k 0.7×	1.4k 0.5×	1.9k 0.7×	640 0.4×	121	5.4k
Matti Maltamo Finland	52	8.2k 1.1×	6.8k 1.5×	4.2k 1.4×	3.0k 1.2×	704 0.4×	219	9.3k
Sorin Popescu United States	38	5.2k 0.7×	3.1k 0.7×	1.6k 0.5×	3.1k 1.2×	597 0.3×	104	6.3k

Countries citing papers authored by Xiaowei Yu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaowei Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaowei Yu

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

Yu, Xiaowei, et al.. (2025). Transferability of country-wide airborne laser scanning-based models for individual-tree attributes. Science of Remote Sensing. 12. 100310–100310.

Hyyppä, Eric, Paula Litkey, Antero Kukko, et al.. (2023). Can the Perception Data of Autonomous Vehicles Be Used to Replace Mobile Mapping Surveys?—A Case Study Surveying Roadside City Trees. Remote Sensing. 15(7). 1790–1790. 3 indexed citations

Lehtomäki, Matti, Xiaowei Yu, Antero Kukko, et al.. (2023). Individual tree segmentation and species classification using high-density close-range multispectral laser scanning data. SHILAP Revista de lepidopterología. 9. 100039–100039. 30 indexed citations

Pyörälä, Jiri, Xiaowei Yu, Harri Kaartinen, et al.. (2023). Branch information extraction from Norway spruce using handheld laser scanning point clouds in Nordic forests. SHILAP Revista de lepidopterología. 9. 100040–100040. 15 indexed citations

Hyyppä, Eric, Antero Kukko, Harri Kaartinen, et al.. (2022). Direct and automatic measurements of stem curve and volume using a high-resolution airborne laser scanning system. SHILAP Revista de lepidopterología. 5. 100050–100050. 30 indexed citations

Saarinen, Ninni, et al.. (2020). Using Leaf-Off and Leaf-On Multispectral Airborne Laser Scanning Data to Characterize Seedling Stands. Remote Sensing. 12(20). 3328–3328. 10 indexed citations

Hyyppä, Eric, Juha Hyyppä, Teemu Hakala, et al.. (2020). Under-canopy UAV laser scanning for accurate forest field measurements. ISPRS Journal of Photogrammetry and Remote Sensing. 164. 41–60. 135 indexed citations

Vastaranta, Mikko, Xiaowei Yu, Ville Luoma, et al.. (2018). Aboveground forest biomass derived using multiple dates of WorldView-2 stereo-imagery: quantifying the improvement in estimation accuracy. International Journal of Remote Sensing. 39(23). 8766–8783. 19 indexed citations

Nevalainen, Olli, Eija Honkavaara, Sakari Tuominen, et al.. (2017). Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging. Remote Sensing. 9(3). 185–185. 344 indexed citations breakdown →

10.

Hyyppä, Juha, Juho‐Pekka Virtanen, Anttoni Jaakkola, et al.. (2017). Feasibility of Google Tango and Kinect for Crowdsourcing Forestry Information. Forests. 9(1). 6–6. 59 indexed citations

11.

Siipilehto, Jouni, et al.. (2016). Reliability of the predicted stand structure for clear-cut stands using optional methods: airborne laser scanning-based methods, smartphone-based forest inventory application Trestima and pre-harvest measurement tool EMO. Silva Fennica. 50(3). 34 indexed citations

12.

Holopainen, Markus, Ville Kankare, Mikko Vastaranta, et al.. (2013). Tree mapping using airborne, terrestrial and mobile laser scanning – A case study in a heterogeneous urban forest. Urban forestry & urban greening. 12(4). 546–553. 125 indexed citations

13.

Kankare, Ville, Minna Räty, Xiaowei Yu, et al.. (2013). Single tree biomass modelling using airborne laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing. 85. 66–73. 47 indexed citations

14.

Kankare, Ville, Markus Holopainen, Mikko Vastaranta, et al.. (2012). Individual tree biomass estimation using terrestrial laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing. 75. 64–75. 231 indexed citations

15.

Räty, Minna, Ville Kankare, Xiaowei Yu, et al.. (2011). Tree biomass estimation using ALS features.. 1–8. 7 indexed citations

16.

Yu, Xiaowei. (2008). Methods and techniques for forest change detection and growth estimation using airborne laser scanning data. Aaltodoc (Aalto University). 9 indexed citations

17.

Yu, Xiaowei, Juha Hyyppä, Antero Kukko, Matti Maltamo, & Harri Kaartinen. (2006). Change Detection Techniques for Canopy Height Growth Measurements Using Airborne Laser Scanner Data. Photogrammetric Engineering & Remote Sensing. 72(12). 1339–1348. 118 indexed citations

18.

Yu, Xiaowei, Juha Hyyppä, Harri Kaartinen, et al.. (2005). MEASURING THE GROWTH OF INDIVIDUAL TREES USING MULTI-TEMPORAL AIRBORNE LASER SCANNING POINT CLOUDS. 28 indexed citations

19.

Maltamo, Matti, et al.. (2004). The accuracy of estimating individual tree variables with airborne laser scanning in boreal nature reserve. Canadian Journal of Remote Sensing. 1791–1801. 17 indexed citations

20.

Hyyppä, Juha, Xiaowei Yu, Petri Rönnholm, Harri Kaartinen, & Hannu Hyyppä. (2003). Factors Affecting Object-Oriented Forest Growth Estimates Obtained Using Laser Scanning. 18(2). 16–31. 18 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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