Lichuan Gu

59 papers receiving 1.6k citations

Lichuan Gu's Hit Papers

A review of deep learning methods for semantic segmentation of remote sensing imagery 2020 · 585 citations
5850+2+5Years since publication100200300400500

Peers

Lichuan Gu
Comparison fields: 5 of 145
  • Media Technology 294
  • Computer Vision and Pattern Recognition 331
  • Artificial Intelligence 427
  • Information Systems 262
  • Environmental Engineering 148
Replace Xiaofeng Zhang with:
Xiaofeng Zhang China
Imed Riadh Farah Tunisia
Silvia Liberata Ullo Italy
Weipeng Jing China
Yujian Li China
Shengwei Tian China
Xiao Ling China
Jining Yan China
Lichuan Gu relative to Xiaofeng Zhang China Xiaofeng Zhang's profile →
Citations per field
00.5×1.5×
Xiaofeng Zhang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Lichuan Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lichuan Gu Line = papers co-authored together Lichuan Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A review of deep learning methods for semantic segmentation of remote sensing imagery
Hit paper breakdown →
2020585
2
Feature selection based on artificial bee colony and gradient boosting decision tree
Hit paper breakdown →
2018471
3 2010191
4 202151
5 200931
6 202328
7 202027
8 202321
9 202120
10 202320
11 200818
12 202318
13 201915
14 202415
15 201414
16 202514
17 202212
18 202111
19 20188
20 20258

About Lichuan Gu

Lichuan Gu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Theory and Mathematics and Information Systems, having authored 70 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Algorithms and Applications (5 papers), Metaheuristic Optimization Algorithms Research (5 papers), Bioinformatics and Genomic Networks (5 papers), Smart Agriculture and AI (5 papers), Advanced Control Systems Optimization (5 papers), Wireless Communication Security Techniques (4 papers), Spectroscopy and Chemometric Analyses (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Media Technology (294 citations), Computer Vision and Pattern Recognition (331 citations), Artificial Intelligence (427 citations), Information Systems (262 citations) and Environmental Engineering (148 citations). Lichuan Gu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaohui Yuan, Jianfang Shi, Yingchun Xia, Zhiwei Ni, Xianzhang Shi, Zhangjun Wu, Mohamed Elhoseny, Xiao Liu, Chang Zhang and Jun Jiao. Their work appears in journals such as Expert Systems with Applications, Applied Soft Computing, Mathematical Biosciences & Engineering, IEEE Transactions on Intelligent Transportation Systems and BMC Bioinformatics.

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