Weiliang Wen

2.0k total citations · 1 hit paper
90 papers, 1.4k citations indexed

About

Weiliang Wen is a scholar working on Plant Science, Ecology and Environmental Engineering. According to data from OpenAlex, Weiliang Wen has authored 90 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Plant Science, 26 papers in Ecology and 15 papers in Environmental Engineering. Recurrent topics in Weiliang Wen's work include Greenhouse Technology and Climate Control (36 papers), Smart Agriculture and AI (34 papers) and Leaf Properties and Growth Measurement (32 papers). Weiliang Wen is often cited by papers focused on Greenhouse Technology and Climate Control (36 papers), Smart Agriculture and AI (34 papers) and Leaf Properties and Growth Measurement (32 papers). Weiliang Wen collaborates with scholars based in China, United States and Netherlands. Weiliang Wen's co-authors include Xinyu Guo, Sheng Wu, Jiangchuan Fan, Shenghao Gu, Chunjiang Zhao, Jianjun Du, Chuanyu Wang, Xianju Lu, Yongjian Wang and Jinglu Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

Weiliang Wen

83 papers receiving 1.3k citations

Hit Papers

Crop Phenomics: Current S... 2019 2026 2021 2023 2019 50 100 150 200
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. Crop Phenomics: Current Status and Perspectives
    2019 249 citations Chunjiang Zhao, Jianjun Du et al. Frontiers in Plant Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiliang Wen China 19 1.0k 507 368 138 129 90 1.4k
Jiangchuan Fan China 15 593 0.6× 315 0.6× 274 0.7× 87 0.6× 90 0.7× 34 946
Yeyin Shi United States 23 1.1k 1.1× 823 1.6× 436 1.2× 49 0.4× 235 1.8× 80 1.8k
Benoît de Solan France 16 930 0.9× 728 1.4× 341 0.9× 92 0.7× 200 1.6× 30 1.2k
Chunjiang Zhao China 22 1.0k 1.0× 248 0.5× 124 0.3× 126 0.9× 251 1.9× 85 1.4k
Michael P. Pound United Kingdom 21 1.8k 1.7× 444 0.9× 299 0.8× 151 1.1× 165 1.3× 50 2.3k
Chengming Sun China 21 845 0.8× 505 1.0× 227 0.6× 60 0.4× 279 2.2× 99 1.3k
Alexander Bucksch United States 20 1.2k 1.1× 225 0.4× 435 1.2× 192 1.4× 21 0.2× 48 1.7k
Dionisio Andújar Spain 25 1.2k 1.2× 588 1.2× 433 1.2× 25 0.2× 121 0.9× 65 1.7k
Anjin Chang United States 23 974 0.9× 967 1.9× 657 1.8× 127 0.9× 133 1.0× 67 1.7k

Countries citing papers authored by Weiliang Wen

Since Specialization
Citations

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

Fields of papers citing papers by Weiliang Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiliang Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Weiliang Wen. A scholar is included among the top collaborators of Weiliang Wen 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 Weiliang Wen. Weiliang Wen 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.
Wen, Weiliang, Xianju Lu, Jiangchuan Fan, et al.. (2025). 3D time-series phenotyping of lettuce in greenhouses. Biosystems Engineering. 250. 250–269. 1 indexed citations
2.
Zhao, Yue, Tao Li, Weiliang Wen, et al.. (2025). YOMASK: An instance segmentation method for high-throughput phenotypic platform lettuce images. Computers and Electronics in Agriculture. 230. 109868–109868. 3 indexed citations
3.
Zhao, Shihua, Jiangchuan Fan, Shenghao Gu, et al.. (2025). Exploring phenotypic differences and dynamic associations among lettuce types based on high-throughput phenotyping platform. Computers and Electronics in Agriculture. 236. 110454–110454.
4.
Wang, Guangtao, Guanmin Huang, Weiliang Wen, et al.. (2025). A study on response of planting density to 3D plant shape plasticity and population light transmittance of maize. Journal of Integrative Agriculture. 1 indexed citations
5.
Huang, Guanmin, Yuankun Li, Ying Zhang, et al.. (2025). Overcoming Challenges in Plant Biomechanics: Methodological Innovations and Technological Integration. Advanced Science. 12(10). e2415606–e2415606. 1 indexed citations
6.
Wang, Chuanyu, et al.. (2024). Predicting the oil content of individual corn kernels combining NIR-HSI and multi-stage parameter optimization techniques. Food Chemistry. 461. 140932–140932. 9 indexed citations
7.
Li, Wenrui, Sheng Wu, Weiliang Wen, et al.. (2024). Using high-throughput phenotype platform MVS-Pheno to reconstruct the 3D morphological structure of wheat. AoB Plants. 16(2). plae019–plae019. 4 indexed citations
8.
Wu, Sheng, Ying Zhang, Yanxin Zhao, et al.. (2024). Using high-throughput phenotyping platform MVS-Pheno to decipher the genetic architecture of plant spatial geometric 3D phenotypes for maize. Computers and Electronics in Agriculture. 225. 109259–109259. 13 indexed citations
9.
Wang, Chuanyu, et al.. (2024). Method for the real-time detection of tomato ripeness using a phenotype robot and RP-YolactEdge. International journal of agricultural and biological engineering. 17(2). 200–210. 1 indexed citations
10.
Yu, S.K., Jiangchuan Fan, Xianju Lu, et al.. (2023). Deep learning models based on hyperspectral data and time-series phenotypes for predicting quality attributes in lettuces under water stress. Computers and Electronics in Agriculture. 211. 108034–108034. 27 indexed citations
11.
Yu, S.K., Jiangchuan Fan, Xianju Lu, et al.. (2022). Hyperspectral Technique Combined With Deep Learning Algorithm for Prediction of Phenotyping Traits in Lettuce. Frontiers in Plant Science. 13. 927832–927832. 15 indexed citations
12.
Guo, Xinyu, et al.. (2019). Development and validation of critical nitrogen dilution curve for spring maize in northeast China.. Zhongguo nongye ke-ji daobao. 21(11). 77–83. 1 indexed citations
13.
Wu, Sheng, et al.. (2018). An interactive design method for realistic fruit rot modeling and simulation. Advances in Complex Systems. 9(5). 1850038–1850038. 2 indexed citations
14.
Guo, Xinyu, et al.. (2016). Maize plant drought stress phenotype testing method based on time-series images. Nongye gongcheng xuebao. 32(21). 189–195. 3 indexed citations
15.
Wang, Yongjian, Weiliang Wen, Xinyu Guo, & Chunjiang Zhao. (2014). Three-dimensional reconstruction of plant leaf blade based on point cloud data.. Zhongguo nongye ke-ji daobao. 16(5). 83–89. 2 indexed citations
16.
Guo, Xinyu, et al.. (2014). Discussion on application of context aware computing technology in agricultural internet of things.. Zhongguo nongye ke-ji daobao. 16(5). 21–31. 1 indexed citations
17.
Wen, Weiliang. (2013). A region filling algorithm based on optimal neighborhood relativity. 1 indexed citations
18.
Sun, Zhihui, Shenglian Lu, Xinyu Guo, & Weiliang Wen. (2012). Surfaces reconstruction of plant leaves based on point cloud data. Nongye gongcheng xuebao. 2012(3). 3 indexed citations
19.
Wang, Yunyun, et al.. (2011). Virtual realization of tobacco leaves based on ball B-spline function. Nongye gongcheng xuebao. 2011(1). 3 indexed citations
20.
Zhao, Chunjiang, et al.. (2010). Exploration of digital plant and its technology system.. Zhongguo nongye Kexue. 43(10). 2023–2030. 5 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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