Ting Yun

1.4k total citations · 1 hit paper
62 papers, 1.0k citations indexed

About

Ting Yun is a scholar working on Environmental Engineering, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Ting Yun has authored 62 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Environmental Engineering, 28 papers in Ecology and 20 papers in Nature and Landscape Conservation. Recurrent topics in Ting Yun's work include Remote Sensing and LiDAR Applications (38 papers), Remote Sensing in Agriculture (23 papers) and Forest ecology and management (20 papers). Ting Yun is often cited by papers focused on Remote Sensing and LiDAR Applications (38 papers), Remote Sensing in Agriculture (23 papers) and Forest ecology and management (20 papers). Ting Yun collaborates with scholars based in China, Ireland and United Kingdom. Ting Yun's co-authors include Feng An, Bangqian Chen, Kang Jiang, Lin Cao, Xinxin Chen, Markus P. Eichhorn, Xiangjun Wang, Huaiqing Zhang, Zhu Yushi and Jiangchuan Fan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Ting Yun

57 papers receiving 1.0k citations

Hit Papers

Status, advancements and prospects of deep learning metho... 2024 2026 2025 2024 10 20 30 40 50
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.

  1. Status, advancements and prospects of deep learning methods applied in forest studies
    2024 50 citations Ting Yun, Ji Zhou et al. International Journal of Applied Earth Observation and Geoinformation profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ting Yun China 18 729 389 328 166 150 62 1.0k
Hongcan Guan China 15 559 0.8× 361 0.9× 208 0.6× 154 0.9× 220 1.5× 34 943
Yuchu Qin China 19 573 0.8× 526 1.4× 295 0.9× 116 0.7× 336 2.2× 31 1.2k
Anssi Krooks Finland 18 929 1.3× 480 1.2× 241 0.7× 479 2.9× 206 1.4× 25 1.2k
Mika Karjalainen Finland 22 1.2k 1.6× 605 1.6× 407 1.2× 306 1.8× 281 1.9× 62 1.7k
Grant D. Pearse New Zealand 18 776 1.1× 653 1.7× 241 0.7× 164 1.0× 221 1.5× 32 1.1k
Topi Tanhuanpää Finland 17 902 1.2× 574 1.5× 428 1.3× 175 1.1× 284 1.9× 33 1.2k
Jonathan P. Dash New Zealand 17 699 1.0× 586 1.5× 282 0.9× 120 0.7× 240 1.6× 24 1.1k
Xin Shen China 17 815 1.1× 562 1.4× 316 1.0× 193 1.2× 177 1.2× 48 1.0k
Midhun Mohan United States 21 1.1k 1.5× 616 1.6× 524 1.6× 219 1.3× 441 2.9× 68 1.6k
Guangcai Xu China 13 691 0.9× 451 1.2× 389 1.2× 134 0.8× 210 1.4× 31 987

Countries citing papers authored by Ting Yun

Since Specialization
Citations

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

Fields of papers citing papers by Ting Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Yun

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Yun. A scholar is included among the top collaborators of Ting Yun 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 Ting Yun. Ting Yun 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.
Jin, Shichao, Dawei Li, Ting Yun, et al.. (2025). Deep learning for three-dimensional (3D) plant phenomics. Plant Phenomics. 7(4). 100107–100107. 2 indexed citations
2.
Wu, Yi, et al.. (2025). Estimation of Subtropical Forest Aboveground Biomass Using Active and Passive Sentinel Data with Canopy Height. Remote Sensing. 17(14). 2509–2509. 2 indexed citations
3.
Lai, Hongyan, Ting Yun, Guizhen Wang, et al.. (2025). A multi-sensor, phenology-based approach framework for mapping cassava cultivation dynamics and intercropping in highly fragmented agricultural landscapes. ISPRS Journal of Photogrammetry and Remote Sensing. 228. 44–63.
4.
Wang, Xincheng, Bangqian Chen, Jinwei Dong, et al.. (2024). Early identification of immature rubber plantations using Landsat and Sentinel satellite images. International Journal of Applied Earth Observation and Geoinformation. 133. 104097–104097. 6 indexed citations
5.
Yun, Ting, Bangqian Chen, Hongyan Lai, et al.. (2024). Improving the accuracy of canopy height mapping in rubber plantations based on stand age, multi-source satellite images, and random forest algorithm. International Journal of Applied Earth Observation and Geoinformation. 131. 103941–103941. 4 indexed citations
6.
Yun, Ting, et al.. (2024). Status, advancements and prospects of deep learning methods applied in forest studies. International Journal of Applied Earth Observation and Geoinformation. 131. 103938–103938. 50 indexed citations breakdown →
7.
8.
Chen, Bangqian, Jun Ma, Chuan Yang, et al.. (2023). Diversified land conversion deepens understanding of impacts of rapid rubber plantation expansion on plant diversity in the tropics. The Science of The Total Environment. 874. 162505–162505. 10 indexed citations
9.
10.
Lai, Hongyan, Bangqian Chen, Xincheng Wang, et al.. (2023). Dry season temperature and rainy season precipitation significantly affect the spatio-temporal pattern of rubber plantation phenology in Yunnan province. Frontiers in Plant Science. 14. 1283315–1283315. 6 indexed citations
11.
Wang, Xincheng, Qing Bao, Ting Yun, et al.. (2023). Comparison of Different Important Predictors and Models for Estimating Large-Scale Biomass of Rubber Plantations in Hainan Island, China. Remote Sensing. 15(13). 3447–3447. 7 indexed citations
12.
Jin, Shichao, Feng An, Huaiqing Zhang, et al.. (2022). Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics. Plant Phenomics. 2022. 9856739–9856739. 38 indexed citations
13.
Yun, Ting, Feng An, Weili Kou, et al.. (2021). Assessment of tornado disaster in rubber plantation in western Hainan using Landsat and Sentinel-2 time series images. National Remote Sensing Bulletin. 25(3). 816–829. 6 indexed citations
14.
15.
Yun, Ting & Xiaolong Dong. (2015). Study of Image Reconstruction Techniques for Spaceborne Scatterometer. Yaogan jishu yu yingyong. 30(3). 495–503. 2 indexed citations
16.
Hou, Dongxia, Min Su, Zhiying Li, et al.. (2015). The Efficient Derivation of Trophoblast Cells from Porcine In Vitro Fertilized and Parthenogenetic Blastocysts and Culture with ROCK Inhibitor Y-27632. PLoS ONE. 10(11). e0142442–e0142442. 19 indexed citations
17.
Han, Xuejie, et al.. (2015). Decreased expression of humanized Fat-1 in porcine fetal fibroblasts following deletion of PGK-neomycin resistance. Genetics and Molecular Research. 14(3). 11594–11604. 2 indexed citations
18.
Yun, Ting & Yiqing Xu. (2013). Ultrasound Image Segmentation based on the Mean-Shift and Graph Cuts Theory. Research Journal of Applied Sciences Engineering and Technology. 5(7). 2458–2465. 1 indexed citations
19.
Yun, Ting, et al.. (2013). Computational-geometry-based Plant Organs Classification and Foliage 3D Reconstruction from Point Cloud Data. SHILAP Revista de lepidopterología. 2 indexed citations
20.
Borjigin, Uyunbilig, Ting Yun, Muren Herrid, & Shorgan Bou. (2012). Characterization and Isolation of Ovine Spermatogonial Stem Cells. Journal of Animal and Veterinary Advances. 11(8). 1242–1245. 2 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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