Lu Gan

833 citations
56 papers · 598 · h-index 16

Impact in

Papers in

Lu Gan

52 papers receiving 586 citations

Peers

Lu Gan
Comparison fields: 5 of 104
  • Signal Processing 92
  • Pollution 99
  • Computer Vision and Pattern Recognition 174
  • Health, Toxicology and Mutagenesis 68
  • Industrial and Manufacturing Engineering 34
Replace Jicheng Wang with:
Jicheng Wang China
Sanghun Kim South Korea
Wen Su China
Pu Zhang China
Xinfeng Li China
Jiahong Chen China
Yang Zheng China
Jin Xu China
Yuchen Guo China
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Citations per field
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Jicheng Wang · 1×
Citations per year

Countries citing papers authored by Lu Gan

Since Specialization
Citations

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

Fields of papers citing papers by Lu Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lu Gan, 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 Lu Gan Line = papers co-authored together Lu Gan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202287
2 200337
3 201833
4 201530
5 202230
6 202325
7 201423
8 202322
9 202121
10 200619
11 201419
12 202217
13 201417
14 201016
15 202216
16
Semantic Iterative Closest Point through Expectation-Maximization.
201815
17
Determing Cordons and Screen Lines for Origin-destination Trip Studies
200115
18 200213
19 202312
20 200812

About Lu Gan

Lu Gan is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Signal Processing, Electrical and Electronic Engineering and Ocean Engineering, having authored 56 papers that have together received 598 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (7 papers), Digital Filter Design and Implementation (6 papers), Robotics and Sensor-Based Localization (6 papers), Land Use and Ecosystem Services (4 papers), Advanced Antenna and Metasurface Technologies (4 papers), Antenna Design and Analysis (3 papers), Advanced Neural Network Applications (3 papers) and Remote Sensing and Land Use (3 papers). The work is most often cited by research in Signal Processing (92 citations), Pollution (99 citations), Computer Vision and Pattern Recognition (174 citations), Health, Toxicology and Mutagenesis (68 citations) and Industrial and Manufacturing Engineering (34 citations). Lu Gan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Haibin Duan, Kai-Kuang Ma, Ryan M. Eustice, Jessy W. Grizzle, Kai‐Kuang Ma, Maani Ghaffari, Ruixue Li, Muting Yan, Jun Wang and Feng Li. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Antennas and Propagation, IEEE Robotics and Automation Letters, The Science of The Total Environment and Frontiers in Psychiatry.

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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