Changwei Tan

798 total citations
44 papers, 626 citations indexed

About

Changwei Tan is a scholar working on Ecology, Plant Science and Atmospheric Science. According to data from OpenAlex, Changwei Tan has authored 44 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Ecology, 21 papers in Plant Science and 18 papers in Atmospheric Science. Recurrent topics in Changwei Tan's work include Remote Sensing in Agriculture (23 papers), Remote Sensing and Land Use (17 papers) and Spectroscopy and Chemometric Analyses (9 papers). Changwei Tan is often cited by papers focused on Remote Sensing in Agriculture (23 papers), Remote Sensing and Land Use (17 papers) and Spectroscopy and Chemometric Analyses (9 papers). Changwei Tan collaborates with scholars based in China, Canada and United States. Changwei Tan's co-authors include Wenshan Guo, Xiuliang Jin, Chunjiang Zhao, Guijun Yang, Zhixiang Wang, Yunsi Fei, Jian Zhou, Yongjian Zhang, Wenxi Li and Zhong-Yang HUO and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Changwei Tan

40 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changwei Tan China 15 380 377 144 133 112 44 626
Luís Guilherme Teixeira Crusiol Brazil 17 313 0.8× 365 1.0× 178 1.2× 195 1.5× 112 1.0× 47 671
Ma. Luisa Buchaillot Spain 8 316 0.8× 331 0.9× 144 1.0× 84 0.6× 102 0.9× 22 588
Thorsten Kraska Germany 17 474 1.2× 327 0.9× 151 1.0× 69 0.5× 167 1.5× 31 800
Chunsong Bian China 12 532 1.4× 393 1.0× 207 1.4× 118 0.9× 54 0.5× 31 780
José Eduardo Creste Brazil 10 443 1.2× 335 0.9× 159 1.1× 134 1.0× 39 0.3× 33 612
Dan Dutartre France 9 463 1.2× 505 1.3× 305 2.1× 84 0.6× 127 1.1× 14 773
Xiaoqing Zhao China 8 578 1.5× 658 1.7× 378 2.6× 180 1.4× 139 1.2× 15 992
Danielle Elis Garcia Furuya Brazil 10 300 0.8× 335 0.9× 190 1.3× 107 0.8× 78 0.7× 22 561
Dthenifer Cordeiro Santana Brazil 11 362 1.0× 350 0.9× 110 0.8× 183 1.4× 63 0.6× 51 562
Xinfeng Yao China 10 227 0.6× 212 0.6× 117 0.8× 62 0.5× 72 0.6× 18 403

Countries citing papers authored by Changwei Tan

Since Specialization
Citations

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

Fields of papers citing papers by Changwei Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changwei Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Changwei Tan. A scholar is included among the top collaborators of Changwei Tan 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 Changwei Tan. Changwei Tan 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.
Tan, Changwei, Abdul Jabbar, Imran Haider, et al.. (2025). Multivariate and Association Analyses of Various Seed Yield Contributing Traits Divulge Genetic Diversity Among Pisum sativum L. Genotypes. Plant Molecular Biology Reporter. 43(3). 1112–1120.
2.
Lu, Bing, Junbo Ge, Changwei Tan, et al.. (2025). A Sustainable Learning Framework: UAV-Based Oat Chlorophyll Monitoring Using Radiative Transfer Models and Deep Learning Techniques. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–13.
3.
Lu, Bing, Jiali Shang, Changwei Tan, et al.. (2025). TKSF-KAN: Transformer-enhanced oat yield modeling and transferability across major oat-producing regions in China using UAV multisource data. ISPRS Journal of Photogrammetry and Remote Sensing. 224. 166–186. 3 indexed citations
4.
Hou, Wenxiu, Mingsong Wang, Chuanxin Ge, et al.. (2024). Light-activated 3DOM Zn-doped In2O3 for room-temperature ppb-level NO2 detection. Sensors and Actuators B Chemical. 426. 137002–137002. 6 indexed citations
5.
Liu, Wei, et al.. (2024). A segmentation network for farmland ridge based on encoder-decoder architecture in combined with strip pooling module and ASPP. Frontiers in Plant Science. 15. 1328075–1328075. 9 indexed citations
6.
Li, Yangyang, et al.. (2022). Research on remote sensing classification of fruit trees based on Sentinel-2 multi-temporal imageries. Scientific Reports. 12(1). 11549–11549. 27 indexed citations
7.
Tan, Changwei, et al.. (2020). Predicting grain protein content of field-grown winter wheat with satellite images and partial least square algorithm. PLoS ONE. 15(3). e0228500–e0228500. 26 indexed citations
8.
Zhang, Pengpeng, Zhixiang Wang, Wenxi Li, et al.. (2020). Using HJ-CCD image and PLS algorithm to estimate the yield of field-grown winter wheat. Scientific Reports. 10(1). 5173–5173. 27 indexed citations
9.
Tan, Changwei, Yongjiang Zhang, Zhixiang Wang, et al.. (2020). Rapid Recognition of Field-Grown Wheat Spikes Based on a Superpixel Segmentation Algorithm Using Digital Images. Frontiers in Plant Science. 11. 259–259. 28 indexed citations
10.
Du, Ying, Changwei Tan, Zhenhai Li, et al.. (2019). Field wheat ears counting based on superpixel segmentation method.. Zhongguo nongye Kexue. 52(1). 21–33. 5 indexed citations
11.
Tan, Changwei, et al.. (2018). Remotely Assessing Fraction of Photosynthetically Active Radiation (FPAR) for Wheat Canopies Based on Hyperspectral Vegetation Indexes. Frontiers in Plant Science. 9. 776–776. 38 indexed citations
12.
Tan, Changwei, et al.. (2018). Analysis of Different Hyperspectral Variables for Diagnosing Leaf Nitrogen Accumulation in Wheat. Frontiers in Plant Science. 9. 674–674. 38 indexed citations
13.
Tan, Changwei, et al.. (2017). Comparison of the methods for predicting wheat yield based on satellite remote sensing data at anthesis.. Zhongguo nongye Kexue. 50(16). 3101–3109. 2 indexed citations
14.
Tan, Changwei, et al.. (2015). Remote sensing estimation of wheat practical yield on regional scale using partial least squares regression algorithm based on HJ-1A/1B images.. Nongye gongcheng xuebao. 31(15). 161–166. 1 indexed citations
15.
Tan, Changwei. (2012). Evaluation of Air Quality in Cars Based on Fuzzy Clustering. Computer and Modernization. 1 indexed citations
16.
Tan, Changwei, et al.. (2011). Monitoring wheat main growth parameters at anthesis stage by Landsat TM. Nongye gongcheng xuebao. 2011(5). 3 indexed citations
17.
Tan, Changwei, et al.. (2011). A Review on the Principles and Basic Methods of Remote Sensing Spectral Characteristic Parameters. Yaogan jishu yu yingyong. 25(1). 155–160. 1 indexed citations
18.
Tan, Changwei, et al.. (2009). Diagnosing leaf nutrition status through leaf spectra data in rice.. Journal of Yangzhou University. 30(2). 50–68. 1 indexed citations
19.
Tan, Changwei & Jihua Wang. (2006). Agronomy parameters of summer maize diagnosed by red edge parameters obtainable from remotely sensing data. Journal of Fujian Agriculture and Forestry University. 2 indexed citations
20.
Tan, Changwei, et al.. (2004). Study on spectral variation of LTN, CHL and LAI of summer maize. Xibei zhiwu xuebao. 24(6). 1041–1046. 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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