Yong Pang

4.7k total citations · 1 hit paper
218 papers, 3.5k citations indexed

About

Yong Pang is a scholar working on Environmental Engineering, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Yong Pang has authored 218 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Environmental Engineering, 103 papers in Ecology and 57 papers in Nature and Landscape Conservation. Recurrent topics in Yong Pang's work include Remote Sensing and LiDAR Applications (121 papers), Remote Sensing in Agriculture (100 papers) and Forest ecology and management (57 papers). Yong Pang is often cited by papers focused on Remote Sensing and LiDAR Applications (121 papers), Remote Sensing in Agriculture (100 papers) and Forest ecology and management (57 papers). Yong Pang collaborates with scholars based in China, United States and United Kingdom. Yong Pang's co-authors include Zengyuan Li, Guoqing Sun, Luxia Liu, Nicholas C. Coops, Wenjian Ni, Bowei Chen, M. A. Lefsky, Yuanyong Dian, Qingwang Liu and Dan Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Remote Sensing of Environment.

In The Last Decade

Yong Pang

201 papers receiving 3.3k citations

Hit Papers

Remote sensing of the terrestrial carbon cycle: A review ... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong Pang China 33 1.9k 1.5k 866 851 389 218 3.5k
Sanna Kaasalainen Finland 35 3.0k 1.6× 1.7k 1.1× 674 0.8× 1.0k 1.2× 322 0.8× 122 4.3k
K.I. Itten Switzerland 27 1.8k 0.9× 2.0k 1.3× 1.1k 1.3× 646 0.8× 566 1.5× 127 3.4k
Christopher Watson Australia 30 1.3k 0.7× 712 0.5× 682 0.8× 235 0.3× 677 1.7× 83 4.0k
Iain Woodhouse United Kingdom 25 1.7k 0.9× 1.2k 0.8× 680 0.8× 583 0.7× 294 0.8× 110 2.7k
Heikki Saari Finland 23 1.2k 0.6× 926 0.6× 1.3k 1.5× 79 0.1× 1.5k 3.8× 73 3.5k
Amy Neuenschwander United States 27 2.2k 1.2× 1.4k 0.9× 996 1.2× 734 0.9× 595 1.5× 63 3.0k
Jeffrey R. Koseff United States 51 793 0.4× 2.6k 1.7× 1.6k 1.8× 362 0.4× 1.7k 4.4× 152 8.6k
Joseph W. Boardman United States 36 1.7k 0.9× 2.7k 1.8× 1.3k 1.5× 341 0.4× 2.4k 6.3× 67 10.0k
Lars M. H. Ulander Sweden 38 3.0k 1.6× 843 0.6× 381 0.4× 540 0.6× 1.1k 2.9× 264 6.0k
M.C. Dobson United States 30 3.7k 1.9× 871 0.6× 486 0.6× 267 0.3× 1.6k 4.1× 109 5.0k

Countries citing papers authored by Yong Pang

Since Specialization
Citations

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

Fields of papers citing papers by Yong Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Pang. A scholar is included among the top collaborators of Yong Pang 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 Yong Pang. Yong Pang 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
1.
Lu, Hao, et al.. (2025). Towards a point cloud understanding framework for forest scene semantic segmentation across forest types and sensor platforms. Remote Sensing of Environment. 318. 114591–114591. 4 indexed citations
3.
Li, Yan, Xiaoxun Ma, Xiaodong Miao, et al.. (2024). Numerical investigation and rapid prediction of the erosion rate of gate valve in gas-solid flow. Powder Technology. 448. 120285–120285. 1 indexed citations
4.
Han, Guangchao, et al.. (2024). Novel Multipoint-drive Rotary Actuator for Extraterrestrial Celestial Ultrasonic Driller. Chinese Journal of Mechanical Engineering. 37(1). 1 indexed citations
5.
Roujean, Jean‐Louis, Andres Kuusk, Yong Pang, et al.. (2024). A universal canopy gap fraction model for forests with various tree distributions based on Nilson's models considering directional overlaps among crowns. Agricultural and Forest Meteorology. 352. 110026–110026. 3 indexed citations
6.
Jiang, Shengyuan, Weiwei Zhang, Yong Pang, et al.. (2024). Lunar regolith water ice simulation method and characterization. Icarus. 417. 116119–116119. 3 indexed citations
7.
Pang, Yong, et al.. (2024). ICESat-2 data denoising and forest canopy height estimation using Machine Learning. International Journal of Applied Earth Observation and Geoinformation. 135. 104263–104263. 1 indexed citations
8.
Zhang, Fengyun, Shufeng Sun, Xi Wang, et al.. (2024). Research on the ablation mechanism and feasibility of UV laser drilling to improve the machining quality of 2.5D SiC/SiC composites. Optics & Laser Technology. 181. 111754–111754. 4 indexed citations
9.
Pang, Yong, et al.. (2024). Determining hyperelastic properties of the constituents of the mussel byssus system. Soft Matter. 20(11). 2442–2454. 6 indexed citations
10.
Pang, Yong, et al.. (2024). Filtering airborne LiDAR data based on multi-view window and multi-resolution hierarchical cloth simulation. Geo-spatial Information Science. 28(3). 996–1013. 3 indexed citations
11.
Qian, Yuqi, Long Xiao, J. W. Head, et al.. (2023). First magnetic and spectroscopic constraints on attenuated space weathering at the Chang'e-5 landing site. Icarus. 410. 115892–115892. 17 indexed citations
12.
Ni, Wenjian, et al.. (2023). Seasonal effects on aboveground biomass estimation in mountainous deciduous forests using ZY-3 stereoscopic imagery. Remote Sensing of Environment. 289. 113520–113520. 11 indexed citations
13.
Yang, Jilin, Jinwei Dong, Luo Liu, et al.. (2023). A robust and unified land surface phenology algorithm for diverse biomes and growth cycles in China by using harmonized Landsat and Sentinel-2 imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 202. 610–636. 13 indexed citations
14.
Geng, Jun, Jing M Chen, Weiliang Fan, et al.. (2022). Application of a Hypergeometric Model in Simulating Canopy Gap Fraction and BRF for Forest Plantations on Sloping Terrains. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 2901–2913. 8 indexed citations
15.
Ni, Wenjian, et al.. (2018). Extraction of forest height by using GF-2 cross-track stereo images. National Remote Sensing Bulletin. 22(3). 392–399. 4 indexed citations
16.
Wu, Junjun, Zhihai Gao, Zengyuan Li, et al.. (2014). Estimation for sparse vegetation information in desertification region based on Tiangong-1 hyperspectral image.. PubMed. 34(3). 751–6. 4 indexed citations
17.
Li, Zengyuan, et al.. (2011). Differences of Lake Color between Mapangyongcuo Lake and La'angcuo Lake Based on Remote Sensing. Yaogan jishu yu yingyong. 23(6). 667–671. 2 indexed citations
18.
Pang, Yong, et al.. (2008). Forest Height Inversion using Airborne Lidar Technology. National Remote Sensing Bulletin. 0(1). 152–158. 21 indexed citations
19.
Li, Zengyuan, et al.. (2005). Rice monitoring using ENVISAT ASAR data in China. 572. 2 indexed citations
20.
Pang, Yong. (2004). Simulation Study of Artificial Neutral Network on Ecosystem of Taihu Lake. Environmental Science & Technology. 1 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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