Lichuan Gu

2.0k total citations · 2 hit papers
55 papers, 1.5k citations indexed

About

Lichuan Gu is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lichuan Gu has authored 55 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 10 papers in Control and Systems Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lichuan Gu's work include Smart Agriculture and AI (5 papers), Bioinformatics and Genomic Networks (5 papers) and Advanced Control Systems Optimization (5 papers). Lichuan Gu is often cited by papers focused on Smart Agriculture and AI (5 papers), Bioinformatics and Genomic Networks (5 papers) and Advanced Control Systems Optimization (5 papers). Lichuan Gu collaborates with scholars based in China, United States and Egypt. Lichuan Gu's co-authors include Xiaohui Yuan, Jianfang Shi, Yingchun Xia, Zhiwei Ni, Zhangjun Wu, Mohamed Elhoseny, Xiao Liu, Chang Zhang, Jun Jiao and Zhang Wu and has published in prestigious journals such as Expert Systems with Applications, Sensors and BMC Bioinformatics.

In The Last Decade

Lichuan Gu

48 papers receiving 1.4k citations

Hit Papers

A review of deep learning methods for semantic segmentati... 2018 2026 2020 2023 2020 2018 100 200 300 400 500
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. A review of deep learning methods for semantic segmentation of remote sensing imagery
    2020 501 citations Xiaohui Yuan, Lichuan Gu et al. profile →
  2. Feature selection based on artificial bee colony and gradient boosting decision tree
    2018 427 citations Yingchun Xia, Xiaohui Yuan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lichuan Gu China 14 392 302 276 236 212 55 1.5k
Zhiwei Ye China 20 704 1.8× 492 1.6× 234 0.8× 186 0.8× 265 1.3× 211 1.8k
Weipeng Jing China 20 257 0.7× 256 0.8× 274 1.0× 230 1.0× 233 1.1× 121 1.1k
Silvia Liberata Ullo Italy 24 340 0.9× 255 0.8× 209 0.8× 93 0.4× 265 1.3× 107 1.9k
Kai Hu China 28 649 1.7× 885 2.9× 437 1.6× 351 1.5× 245 1.2× 219 2.6k
Shengwei Tian China 22 646 1.6× 728 2.4× 177 0.6× 268 1.1× 173 0.8× 137 2.0k
Wei Jie China 15 211 0.5× 233 0.8× 213 0.8× 191 0.8× 259 1.2× 79 1.1k
Xiaofeng Zhang China 19 448 1.1× 452 1.5× 439 1.6× 166 0.7× 58 0.3× 95 1.6k
Feng Xu China 23 253 0.6× 697 2.3× 323 1.2× 104 0.4× 209 1.0× 121 1.7k
Peng Li China 23 330 0.8× 376 1.2× 378 1.4× 309 1.3× 550 2.6× 228 2.1k

Countries citing papers authored by Lichuan Gu

Since Specialization
Citations

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

Fields of papers citing papers by Lichuan Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lichuan Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Lichuan Gu. A scholar is included among the top collaborators of Lichuan Gu 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 Lichuan Gu. Lichuan Gu 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.
Yao, Yangang, Yu Kang, Yun‐Bo Zhao, et al.. (2025). Event-based uniform prescribed-time output feedback control for irregular output-constrained nonlinear systems. Communications in Nonlinear Science and Numerical Simulation. 150. 109010–109010. 1 indexed citations
2.
Yao, Yangang, Liang Xu, Yu Kang, et al.. (2025). Dual Flexible Prescribed Performance Control of Input Saturated High-Order Nonlinear Systems. IEEE Transactions on Cybernetics. 55(3). 1147–1158. 5 indexed citations
3.
Yao, Yangang, Ziyi Liu, Yu Kang, et al.. (2025). Sliding Flexible Prescribed Performance Boundary-Guided Reinforcement Learning Control for Input-Constrained Nonlinear Systems. IEEE Transactions on Cybernetics. 56(2). 968–979.
4.
Pan, Wenyan, Wentao Ma, Tongqing Zhou, et al.. (2024). Dual-Decoupling With Frequency-Spatial Domains for Image Manipulation Localization. IEEE Transactions on Neural Networks and Learning Systems. 36(7). 12595–12605. 1 indexed citations
5.
Pan, Wenyan, et al.. (2024). Image Manipulation Detection With Cascade Hierarchical Graph Representation. IEEE Transactions on Circuits and Systems for Video Technology. 34(9). 8672–8683. 7 indexed citations
6.
Yao, Yangang, et al.. (2024). Sliding Flexible Prescribed Performance Control for Input Saturated Nonlinear Systems. IEEE Transactions on Fuzzy Systems. 33(4). 1241–1252. 5 indexed citations
7.
Pan, Wenyan, et al.. (2024). Auto-focus tracing: Image manipulation detection with artifact graph contrastive. Knowledge-Based Systems. 304. 112545–112545. 1 indexed citations
8.
Xu, Wenjun, et al.. (2024). Learning protein language contrastive models with multi-knowledge representation. Future Generation Computer Systems. 164. 107580–107580. 1 indexed citations
9.
Zhou, Xiaobo, et al.. (2024). Underdetermined Blind Source Separation of Audio Signals for Group Reared Pigs Based on Sparse Component Analysis. Sensors. 24(16). 5173–5173. 1 indexed citations
10.
Zhang, Jinrui, et al.. (2023). A two-stream network with complementary feature fusion for pest image classification. Engineering Applications of Artificial Intelligence. 124. 106563–106563. 15 indexed citations
11.
Ma, Wentao, Tongqing Zhou, Dan Guo, et al.. (2023). FedSH: Towards Privacy-Preserving Text-Based Person Re-Identification. IEEE Transactions on Multimedia. 26. 5065–5077. 17 indexed citations
12.
Ye, Yong, et al.. (2023). MSFCA-Net: A Multi-Scale Feature Convolutional Attention Network for Segmenting Crops and Weeds in the Field. Agriculture. 13(6). 1176–1176. 19 indexed citations
13.
Shen, Tong, et al.. (2023). UAV Deployment Optimization for Secure Precise Wireless Transmission. Drones. 7(4). 224–224.
14.
Xia, Yingchun, et al.. (2023). LncRNA–protein interaction prediction with reweighted feature selection. BMC Bioinformatics. 24(1). 410–410. 2 indexed citations
15.
Xia, Yingchun, et al.. (2022). A virus–target host proteins recognition method based on integrated complexes data and seed extension. BMC Bioinformatics. 23(1). 256–256. 1 indexed citations
16.
Xu, Wenjun, Hongwei Zhang, Ning Yang, et al.. (2022). Deep neural learning based protein function prediction. Mathematical Biosciences & Engineering. 19(3). 2471–2488. 2 indexed citations
17.
Zhang, Weiwei, Xiaohong Li, Jun Jiao, et al.. (2021). Imperfect Wheat Grain Recognition Combined with an Attention Mechanism and Residual Network. Applied Sciences. 11(11). 5139–5139. 16 indexed citations
18.
Xu, Wenjun, Chao Wang, Jun Jiao, et al.. (2021). Protein functional module identification method combining topological features and gene expression data. BMC Genomics. 22(1). 423–423. 3 indexed citations
19.
Li, Yingying, et al.. (2014). Multi-Targets Tracking Based On Bipartite Graph Matching. Cybernetics and Information Technologies. 14(5). 78–87. 4 indexed citations
20.

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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