Chunli Lv

733 total citations · 1 hit paper
51 papers, 408 citations indexed

About

Chunli Lv is a scholar working on Plant Science, Artificial Intelligence and Information Systems. According to data from OpenAlex, Chunli Lv has authored 51 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 14 papers in Artificial Intelligence and 11 papers in Information Systems. Recurrent topics in Chunli Lv's work include Smart Agriculture and AI (27 papers), Plant Disease Management Techniques (13 papers) and Spectroscopy and Chemometric Analyses (9 papers). Chunli Lv is often cited by papers focused on Smart Agriculture and AI (27 papers), Plant Disease Management Techniques (13 papers) and Spectroscopy and Chemometric Analyses (9 papers). Chunli Lv collaborates with scholars based in China, United Kingdom and Norway. Chunli Lv's co-authors include Yan Zhang, Shiyun Wa, Longxiang Zhang, Siyu Cheng, Chang Zhou, Yan Zhu, Bei Pei, Jingfu Wang, Lexin Zhang and Junyu Zhou and has published in prestigious journals such as Sensors, Frontiers in Plant Science and Computers and Electronics in Agriculture.

In The Last Decade

Chunli Lv

42 papers receiving 392 citations

Hit Papers

align trajectories

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.

TinySegformer: A lightweight visual segmentation model for real-time agricultural pest detection

2024 65 citations Chunli Lv et al. Computers and Electronics in Agriculture profile →

Peers

Chunli Lv

PS

AI

AC

IS

CNC

Jennifer Eunice India

Savita Kolhe India

Naresh Kumar Trivedi India

Shiyun Wa China

Hamoud Alshammari Saudi Arabia

Poonam Dhiman India

Asif Iqbal Khan India

Sulieman Bani‐Ahmad Jordan

David Camilo Corrales Colombia

G. Sambasivam India

Jennifer Eunice India

Chunli Lv

234 ×1.0

PS

67 ×0.9

AI

93 ×1.6

AC

87 ×1.8

IS

48 ×1.2

CNC

Citations per year, relative to Chunli Lv Chunli Lv (= 1×) peers Jennifer Eunice

Countries citing papers authored by Chunli Lv

Since Specialization

Citations

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

Fields of papers citing papers by Chunli Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunli Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Chunli Lv. A scholar is included among the top collaborators of Chunli Lv 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 Chunli Lv. Chunli Lv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zhang, Lexin, Zaili Yang, Chengcheng Zhou, et al.. (2025). JuDifformer: Multimodal fusion model with transformer and diffusion for jujube disease detection. Computers and Electronics in Agriculture. 232. 110008–110008. 4 indexed citations

2.

Zhang, Hang, et al.. (2025). A Transformer-Based Detection Network for Precision Cistanche Pest and Disease Management in Smart Agriculture. Plants. 14(4). 499–499. 1 indexed citations

3.

Ge, Xiangyu, et al.. (2025). Improving passion fruit yield estimation with multi-scale feature fusion and density-attention mechanisms in smart agriculture. Computers and Electronics in Agriculture. 239. 110958–110958. 1 indexed citations

4.

Yin, Jia‐Xin, et al.. (2025). A Diffusion-Based Detection Model for Accurate Soybean Disease Identification in Smart Agricultural Environments. Plants. 14(5). 675–675.

5.

Cong, Lin William, et al.. (2025). A Novel Data Obfuscation Framework Integrating Probability Density and Information Entropy for Privacy Preservation. Applied Sciences. 15(3). 1261–1261.

6.

Li, Weixia, et al.. (2025). Grape Disease Detection Using Transformer-Based Integration of Vision and Environmental Sensing. Agronomy. 15(4). 831–831. 3 indexed citations

7.

Jin, Ziyang, Yuru Wang, Boming Zhang, et al.. (2025). A Transformer-Based Symmetric Diffusion Segmentation Network for Wheat Growth Monitoring and Yield Counting. Agriculture. 15(7). 670–670. 1 indexed citations

8.

Ge, Xiangyu, et al.. (2025). Passion Fruit Disease Detection Using Sparse Parallel Attention Mechanism and Optical Sensing. Agriculture. 15(7). 733–733. 4 indexed citations

9.

Li, Yan, et al.. (2024). An Efficient Weed Detection Method Using Latent Diffusion Transformer for Enhanced Agricultural Image Analysis and Mobile Deployment. Plants. 13(22). 3192–3192. 1 indexed citations

10.

Wang, Yaqi, et al.. (2024). Enhancing Data Privacy Protection and Feature Extraction in Secure Computing Using a Hash Tree and Skip Attention Mechanism. Applied Sciences. 14(22). 10687–10687.

11.

Wang, Chenxi, et al.. (2024). A User-Centered Framework for Data Privacy Protection Using Large Language Models and Attention Mechanisms. Applied Sciences. 14(15). 6824–6824. 3 indexed citations

12.

Wang, Xinyue, et al.. (2024). Implementing Real-Time Image Processing for Radish Disease Detection Using Hybrid Attention Mechanisms. Plants. 13(21). 3001–3001. 1 indexed citations

13.

Yan, Yuhan, et al.. (2024). Finsformer: A Novel Approach to Detecting Financial Attacks Using Transformer and Cluster-Attention. Applied Sciences. 14(1). 460–460. 7 indexed citations

14.

Yan, Shen, et al.. (2024). Application of Electroencephalography Sensors and Artificial Intelligence in Automated Language Teaching. Sensors. 24(21). 6969–6969. 1 indexed citations

15.

Zhao, Xinyan, et al.. (2024). Implementation of Large Language Models and Agricultural Knowledge Graphs for Efficient Plant Disease Detection. Agriculture. 14(8). 1359–1359. 10 indexed citations

16.

Li, Ruiheng, et al.. (2024). Integration of Diffusion Transformer and Knowledge Graph for Efficient Cucumber Disease Detection in Agriculture. Plants. 13(17). 2435–2435. 3 indexed citations

17.

Zhang, Lexin, et al.. (2023). Enhancing Privacy in Large Language Model with Homomorphic Encryption and Sparse Attention. Applied Sciences. 13(24). 13146–13146. 3 indexed citations

18.

Cheng, Siyu, et al.. (2023). High-Performance Plant Pest and Disease Detection Based on Model Ensemble with Inception Module and Cluster Algorithm. Plants. 12(1). 200–200. 40 indexed citations

19.

Zhang, Lexin, Ruihan Wang, Zhuoyuan Li, et al.. (2023). Time-Series Neural Network: A High-Accuracy Time-Series Forecasting Method Based on Kernel Filter and Time Attention. Information. 14(9). 500–500. 13 indexed citations

20.

Liu, Yufei, et al.. (2023). A High-Precision Plant Disease Detection Method Based on a Dynamic Pruning Gate Friendly to Low-Computing Platforms. Plants. 12(11). 2073–2073. 15 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.

Explore authors with similar magnitude of impact