Liujun Li

2.3k total citations · 1 hit paper
92 papers, 1.6k citations indexed

About

Liujun Li is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Civil and Structural Engineering. According to data from OpenAlex, Liujun Li has authored 92 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Plant Science, 18 papers in Computer Vision and Pattern Recognition and 17 papers in Civil and Structural Engineering. Recurrent topics in Liujun Li's work include Smart Agriculture and AI (27 papers), Leaf Properties and Growth Measurement (14 papers) and Infrastructure Maintenance and Monitoring (9 papers). Liujun Li is often cited by papers focused on Smart Agriculture and AI (27 papers), Leaf Properties and Growth Measurement (14 papers) and Infrastructure Maintenance and Monitoring (9 papers). Liujun Li collaborates with scholars based in China, United States and Czechia. Liujun Li's co-authors include Guoxiong Zhou, Yahui Hu, Weiwei Cai, Aibin Chen, Guoxiong Zhou, Jialei Zhan, Yaowen Hu, Khalil Abdelrazek Khalil, Yimin Li and Yanfeng Wang and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and Advanced Functional Materials.

In The Last Decade

Liujun Li

83 papers receiving 1.6k citations

Hit Papers

Fast forest fire smoke detection using MVMNet 2022 2026 2023 2024 2022 40 80 120
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. Fast forest fire smoke detection using MVMNet
    2022 124 citations Yaowen Hu, Jialei Zhan et al. Knowledge-Based Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liujun Li China 23 612 310 227 222 221 92 1.6k
Fangyao Liu China 8 198 0.3× 585 1.9× 61 0.3× 114 0.5× 53 0.2× 18 1.5k
Guodong Yang China 16 776 1.3× 482 1.6× 26 0.1× 105 0.5× 239 1.1× 92 1.8k
Diana‐Margarita Córdova‐Esparza Mexico 9 186 0.3× 543 1.8× 58 0.3× 98 0.4× 60 0.3× 40 1.4k
Lipeng Liu China 17 143 0.2× 91 0.3× 73 0.3× 241 1.1× 97 0.4× 90 1.1k
Julio-Alejandro Romero-González Mexico 6 176 0.3× 467 1.5× 57 0.3× 90 0.4× 59 0.3× 21 1.2k
Guanzhong Wang Germany 3 147 0.2× 643 2.1× 71 0.3× 101 0.5× 48 0.2× 7 1.3k
Jing Xie China 22 184 0.3× 81 0.3× 27 0.1× 240 1.1× 44 0.2× 70 1.2k
Weiqiang Ren China 6 153 0.3× 839 2.7× 77 0.3× 114 0.5× 42 0.2× 8 1.3k
Shaoming Li China 26 354 0.6× 36 0.1× 20 0.1× 39 0.2× 166 0.8× 160 2.0k

Countries citing papers authored by Liujun Li

Since Specialization
Citations

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

Fields of papers citing papers by Liujun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liujun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Liujun Li. A scholar is included among the top collaborators of Liujun 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 Liujun Li. Liujun 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.
Yang, Yixin, Zhiwen Tang, Guoxiong Zhou, et al.. (2025). A precise image-based retinal blood vessel segmentation method using TAOD-CFNet. Biomedical Signal Processing and Control. 107. 107815–107815. 1 indexed citations
2.
Zhang, Liangji, et al.. (2025). FATDNet: A fusion adversarial network for tomato leaf disease segmentation under complex backgrounds. Computers and Electronics in Agriculture. 234. 110270–110270. 2 indexed citations
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Zhou, Guoxiong, Yi Chai, Liujun Li, et al.. (2024). Identification of rice disease under complex background based on PSOC-DRCNet. Expert Systems with Applications. 249. 123643–123643. 21 indexed citations
5.
Zhou, Guoxiong, et al.. (2024). A high-quality self-supervised image denoising method based on SDDW-GAN and CHRNet. Expert Systems with Applications. 258. 125157–125157. 5 indexed citations
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Zhou, Guoxiong, et al.. (2024). A Precise Framework for Rice Leaf Disease Image–Text Retrieval Using FHTW-Net. Plant Phenomics. 6. 168–168. 11 indexed citations
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Chen, Jiaxin, Shuqing Wang, Qun‐Yan Wu, et al.. (2024). Doppler ultrasound imaging and shear wave elastography for evaluation of interstitial fibrosis/tubular atrophy in IgA nephropathy. Abdominal Radiology. 50(3). 1266–1272.
10.
Li, Rui, Yaowen Hu, Lin Li, et al.. (2024). SMWE-GFPNNet: A high-precision and robust method for forest fire smoke detection. Knowledge-Based Systems. 289. 111528–111528. 27 indexed citations
11.
Huang, Shuangjie, et al.. (2023). Identification of tomato leaf diseases based on multi-channel automatic orientation recurrent attention network. Computers and Electronics in Agriculture. 205. 107605–107605. 49 indexed citations
12.
Cao, Hongbin, et al.. (2023). Segmentation Detection Method for Complex Road Cracks Collected by UAV Based on HC-Unet++. Drones. 7(3). 189–189. 22 indexed citations
13.
Zhang, Liangji, Guoxiong Zhou, Chao Lu, et al.. (2023). MDMASNet: A dual-task interactive semi-supervised remote sensing image segmentation method. Signal Processing. 212. 109152–109152. 8 indexed citations
14.
Chen, Ziman, Michael Ying, Jiaxin Chen, et al.. (2023). Using elastography-based multilayer perceptron model to evaluate renal fibrosis in chronic kidney disease. Renal Failure. 45(1). 2202755–2202755. 10 indexed citations
15.
Wang, Qifan, Weiwei Cai, Yahui Hu, et al.. (2023). Identification of grape leaf diseases based on VN-BWT and Siamese DWOAM-DRNet. Engineering Applications of Artificial Intelligence. 123. 106341–106341. 29 indexed citations
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Li, Zongchen, et al.. (2022). LLAM-MDCNet for Detecting Remote Sensing Images of Dead Tree Clusters. Remote Sensing. 14(15). 3684–3684. 5 indexed citations
19.
Zhu, Hang, et al.. (2021). Performance evaluation of a multi-rotor unmanned agricultural aircraft system for chemical application. International journal of agricultural and biological engineering. 14(3). 43–52. 3 indexed citations
20.
Su, Zhongzhen, Liujun Li, Kai Li, et al.. (2014). A preliminary study of three-dimensional ultrasound images automatic registration based on hepatic vessel. Zhonghua chaosheng yingxiangxue zazhi. 23(10). 865–868. 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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