Chinsu Lin

1.6k total citations
82 papers, 1.2k citations indexed

About

Chinsu Lin is a scholar working on Ecology, Environmental Engineering and Nature and Landscape Conservation. According to data from OpenAlex, Chinsu Lin has authored 82 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Ecology, 31 papers in Environmental Engineering and 23 papers in Nature and Landscape Conservation. Recurrent topics in Chinsu Lin's work include Remote Sensing in Agriculture (35 papers), Remote Sensing and LiDAR Applications (31 papers) and Forest ecology and management (22 papers). Chinsu Lin is often cited by papers focused on Remote Sensing in Agriculture (35 papers), Remote Sensing and LiDAR Applications (31 papers) and Forest ecology and management (22 papers). Chinsu Lin collaborates with scholars based in Taiwan, United States and Philippines. Chinsu Lin's co-authors include Sorin Popescu, Khongor Tsogt, Chein‐I Chang, Kaiguang Zhao, Amy Neuenschwander, Chien-Shun Lo, Yen‐Chieh Ouyang, Shih-Yu Chen, Chao-Cheng Wu and Chia‐Chun Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Chinsu Lin

79 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chinsu Lin Taiwan 19 578 514 302 266 184 82 1.2k
J. A. N. van Aardt United States 22 654 1.1× 708 1.4× 277 0.9× 386 1.5× 151 0.8× 37 1.2k
Wenyi Fan China 17 403 0.7× 331 0.6× 339 1.1× 229 0.9× 206 1.1× 80 1.1k
Yuri Shendryk Australia 15 467 0.8× 456 0.9× 227 0.8× 155 0.6× 83 0.5× 22 820
Shuai Gao China 22 899 1.6× 704 1.4× 432 1.4× 127 0.5× 104 0.6× 67 1.4k
Kabir Peerbhay South Africa 19 655 1.1× 341 0.7× 277 0.9× 94 0.4× 122 0.7× 64 958
Mbulisi Sibanda South Africa 26 1.2k 2.1× 659 1.3× 640 2.1× 190 0.7× 120 0.7× 111 2.1k
Yuzhen Zhang China 23 545 0.9× 555 1.1× 454 1.5× 254 1.0× 61 0.3× 68 1.6k
Emilio Guirado Spain 22 651 1.1× 257 0.5× 465 1.5× 225 0.8× 107 0.6× 71 2.4k
Richard G. Oderwald United States 18 584 1.0× 599 1.2× 468 1.5× 549 2.1× 192 1.0× 50 1.5k
Roope Näsi Finland 18 1.0k 1.8× 826 1.6× 317 1.0× 111 0.4× 105 0.6× 47 1.5k

Countries citing papers authored by Chinsu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chinsu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chinsu Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Chinsu Lin. A scholar is included among the top collaborators of Chinsu Lin 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 Chinsu Lin. Chinsu Lin 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.
Chen, Shih-Yu, et al.. (2025). Automated peanut defect detection using hyperspectral imaging and deep learning: A real-time approach for smart agriculture. Smart Agricultural Technology. 11. 100943–100943. 1 indexed citations
2.
Lin, Chinsu, et al.. (2024). Generating Wall-to-Wall Canopy Height Information from Discrete Data Provided by Spaceborne LiDAR System. Forests. 15(3). 482–482. 4 indexed citations
3.
Lin, Chinsu, et al.. (2024). Applying a Four-Way Factorial Experimental Model to Diagnose Optimum kNN Parameters for Precise Aboveground Biomass Mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 479–495. 1 indexed citations
4.
5.
Lin, Chinsu, et al.. (2023). Challenges of Retrieving LULC Information in Rural-Forest Mosaic Landscapes Using Random Forest Technique. Forests. 14(4). 816–816. 14 indexed citations
6.
Lin, Chinsu, et al.. (2021). Diagnosing pristine pine forest development through pansharpened-surface-reflectance Landsat image derived aboveground biomass productivity. Forest Ecology and Management. 487. 119011–119011. 11 indexed citations
7.
Chen, Shih-Yu, et al.. (2021). Hybrid Deep Learning Models with Sparse Enhancement Technique for Detection of Newly Grown Tree Leaves. Sensors. 21(6). 2077–2077. 9 indexed citations
8.
Chen, Shih-Yu, et al.. (2019). Weighted Background Suppression Target Detection Using Sparse Image Enhancement Technique for Newly Grown Tree Leaves. Remote Sensing. 11(9). 1081–1081. 10 indexed citations
9.
Chen, Shih-Yu, et al.. (2018). Adaptive Window-Based Constrained Energy Minimization for Detection of Newly Grown Tree Leaves. Remote Sensing. 10(1). 96–96. 23 indexed citations
10.
Lin, Chinsu, et al.. (2018). Detecting newly grown tree leaves from unmanned-aerial-vehicle images using hyperspectral target detection techniques. ISPRS Journal of Photogrammetry and Remote Sensing. 142. 174–189. 54 indexed citations
11.
12.
Wu, Chih‐Da, et al.. (2016). Gap Shape Classification using Landscape Indices and Multivariate Statistics. Scientific Reports. 6(1). 38217–38217. 8 indexed citations
13.
Lin, Chinsu, et al.. (2015). Classification of Tree Species in Overstorey Canopy of Subtropical Forest Using QuickBird Images. PLoS ONE. 10(5). e0125554–e0125554. 40 indexed citations
14.
Lin, Chinsu, et al.. (2015). A novel reflectance-based model for evaluating chlorophyll concentrations of fresh and water-stressed leaves. Biogeosciences. 12(1). 49–66. 45 indexed citations
15.
Tsogt, Khongor, et al.. (2013). Diameter and Height Distributions of Natural Even-Aged Pine Forests (Pinus sylvestris) in Western Khentey, Mongolia. Táiwān línyè kēxué. 28(1). 29–41. 4 indexed citations
16.
17.
Lin, Chinsu, Khongor Tsogt, & Chein‐I Chang. (2012). An Empirical Model-based Method for Signal Restoration of SWIR in ASD Field Spectroradiometry. Photogrammetric Engineering & Remote Sensing. 78(2). 119–127. 14 indexed citations
18.
Tsogt, Khongor, et al.. (2011). Diameter Structure Analysis of Forest Stand and Selection of Suitable Model. SHILAP Revista de lepidopterología. 9(1-2). 2 indexed citations
19.
Xia, Chun, et al.. (2004). The Interferon-α Genes from Three Chicken Lines and Its Effects on H9N2 Influenza Viruses. Animal Biotechnology. 15(1). 77–88. 30 indexed citations
20.
Glue, Paul, Robert D. Colucci, Christopher Banfield, et al.. (1997). Single‐dose pharmacokinetics of felbamate in patients with renal dysfunction. British Journal of Clinical Pharmacology. 44(1). 91–93. 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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