Peng Dao-li

680 total citations
45 papers, 528 citations indexed

About

Peng Dao-li is a scholar working on Ecology, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Peng Dao-li has authored 45 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Ecology, 19 papers in Atmospheric Science and 16 papers in Global and Planetary Change. Recurrent topics in Peng Dao-li's work include Remote Sensing in Agriculture (16 papers), Remote Sensing and Land Use (16 papers) and Remote Sensing and LiDAR Applications (13 papers). Peng Dao-li is often cited by papers focused on Remote Sensing in Agriculture (16 papers), Remote Sensing and Land Use (16 papers) and Remote Sensing and LiDAR Applications (13 papers). Peng Dao-li collaborates with scholars based in China, United States and Rwanda. Peng Dao-li's co-authors include Haibin Wang, Duanyang Xu, Zhe Li, Ziyu Wang, L. Putzel, Weisheng Zeng, Mingjie Chen, Michael T. Bennett, Nicholas J. Hogarth and Xiaoyu Zhang and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Sensors.

In The Last Decade

Peng Dao-li

40 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Dao-li China 14 229 208 167 157 150 45 528
Wang Li China 14 366 1.6× 366 1.8× 266 1.6× 93 0.6× 187 1.2× 42 796
Gábor Illés Hungary 12 108 0.5× 169 0.8× 124 0.7× 116 0.7× 122 0.8× 33 441
Jongyeol Lee South Korea 11 117 0.5× 273 1.3× 75 0.4× 73 0.5× 104 0.7× 46 442
Wenping Kang China 13 312 1.4× 396 1.9× 111 0.7× 111 0.7× 105 0.7× 28 708
Natalia Kolecka Poland 12 255 1.1× 375 1.8× 209 1.3× 89 0.6× 73 0.5× 23 688
Pablo Parysow United States 12 139 0.6× 201 1.0× 147 0.9× 209 1.3× 169 1.1× 18 487
Dawei Xu China 16 378 1.7× 219 1.1× 150 0.9× 187 1.2× 103 0.7× 33 677
Junjun Yang China 9 166 0.7× 197 0.9× 89 0.5× 172 1.1× 93 0.6× 22 466
Zelin Liu Canada 9 182 0.8× 187 0.9× 117 0.7× 150 1.0× 111 0.7× 18 462
Jinliang Huang China 11 238 1.0× 237 1.1× 174 1.0× 63 0.4× 109 0.7× 20 479

Countries citing papers authored by Peng Dao-li

Since Specialization
Citations

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

Fields of papers citing papers by Peng Dao-li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peng Dao-li. 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 Peng Dao-li. The network helps show where Peng Dao-li may publish in the future.

Co-authorship network of co-authors of Peng Dao-li

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Dao-li. A scholar is included among the top collaborators of Peng Dao-li 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 Peng Dao-li. Peng Dao-li 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.
Yin, Wang, et al.. (2025). Evaluating Forest Aboveground Biomass Products by Incorporating Spatial Representativeness Analysis. Remote Sensing. 17(16). 2898–2898.
2.
Wang, Yin, Nan Zhang, Mingjie Chen, et al.. (2025). Prediction and Spatiotemporal Dynamics of Vegetation Index Based on Deep Learning and Environmental Factors in the Yangtze River Basin. Forests. 16(3). 460–460. 2 indexed citations
3.
Zhao, Yabing, et al.. (2025). Estimating forest growing stock volume using feature selection and advanced remote sensing algorithm. Remote Sensing Applications Society and Environment. 37. 101458–101458. 1 indexed citations
4.
Dao-li, Peng, et al.. (2024). Quantification of GEDI Geolocation Error and Its Influence on Elevation and Canopy Height. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 18012–18024. 1 indexed citations
5.
Jiang, Ling, Wen Dai, Peng Dao-li, et al.. (2023). An Operational Framework for Reconstructing Lane-Level Road Maps Using Open Access Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 6671–6681. 2 indexed citations
6.
Xu, Duanyang, et al.. (2023). Future climate change would intensify the water resources supply-demand pressure of afforestation in inner Mongolia, China. Journal of Cleaner Production. 407. 137145–137145. 13 indexed citations
7.
He, Danni, Peng Dao-li, Hua Yang, & Xiaohong Zhang. (2023). The response of seedlings and saplings to canopy structure and light in different gaps in a spruce-fir mixed stand in Changbai Mountains, China. Forest Ecology and Management. 546. 121365–121365. 9 indexed citations
10.
Dao-li, Peng, et al.. (2020). Monitoring of vegetation coverage change in hilly and gully regions on the Loess Plateau. 37(6). 1045–1053. 1 indexed citations
11.
Wang, Ziyu, Peng Dao-li, Duanyang Xu, Xiaoyu Zhang, & Yue Zhang. (2020). Assessing the water footprint of afforestation in Inner Mongolia, China. Journal of Arid Environments. 182. 104257–104257. 26 indexed citations
12.
Dao-li, Peng, et al.. (2018). Estimation of forest stock volume with spectral and textural information from the Sentinel-2A.. Dongbei linye daxue xuebao. 46(9). 54–58. 5 indexed citations
13.
Dao-li, Peng, et al.. (2015). [Changes of Forest Canopy Spectral Reflectance with Seasons in Lang Ya Mountains].. PubMed. 35(8). 2246–51. 1 indexed citations
14.
Dao-li, Peng, et al.. (2012). Vegetation classification technology of hyperspectral remote sensing based on spatial information. Nongye gongcheng xuebao. 2012(5). 4 indexed citations
15.
Dao-li, Peng. (2012). Forest carbon storage estimation based on PCA and SPOT-5. Zhongnan Linye Keji Daxue xuebao. 1 indexed citations
16.
Dao-li, Peng. (2012). Remote sensing retrieval model of forest carbon storage based on principal components analysis and radial basis function neural network. Zhongguo Nongye Daxue xuebao. 1 indexed citations
17.
Dao-li, Peng, et al.. (2010). Remote sensing information model for sandy desertification assessment in Duolun based on land use.. Zhongguo Nongye Daxue xuebao. 15(3). 114–121. 3 indexed citations
18.
Li, Gao, et al.. (2010). Monitoring Method in Returning Cropland to Forestland Project Based on ALOS and PPS--Taking Jiuliancheng Town in Guyuan County as an Example. Bulletin of Soil and Water Conservation. 30(6). 22–26. 1 indexed citations
19.
Dao-li, Peng, et al.. (2009). Advances in researches on desertification evaluation technology based on remote sensing.. 22(5). 34–39. 3 indexed citations
20.
Dao-li, Peng. (2008). Research on Visualization of Stand Spatial Structure. Forest Research Open Access.

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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