Ge Li

527 citations
53 papers · 386 · h-index 10

Impact in

Papers in

Ge Li

51 papers receiving 378 citations

Peers

Ge Li
Comparison fields: 5 of 101
  • Biomaterials 71
  • Rehabilitation 23
  • Control and Systems Engineering 62
  • Biomedical Engineering 105
  • Industrial and Manufacturing Engineering 21
Replace Pierluigi Beomonte Zobel with:
Pierluigi Beomonte Zobel Italy
Youping Gong China
Tatacipta Dirgantara Indonesia
Yanming Chen China
Mitsuo Matsudaira Japan
Hüseyin Lekesiz Türkiye
Jaeyoung Lim South Korea
Xiaoqing Tian China
Hyock‐Ju Kwon Canada
Jianguo Li China
Ge Li relative to Pierluigi Beomonte Zobel Italy Pierluigi Beomonte Zobel's profile →
Citations per field
00.5×8.9×
Pierluigi Beomonte Zobel · 1×
Citations per year

Countries citing papers authored by Ge Li

Since Specialization
Citations

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

Fields of papers citing papers by Ge Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202149
2 202042
3 202041
4 201432
5 201520
6 201916
7 201715
8 201014
9 202213
10 201310
11 20189
12
Procedure neural networks based on being learned by hybrid genetic algorithm
20058
13 20228
14 20158
15 20197
16 20157
17 20167
18 20166
19 20145
20 20125

About Ge Li

Ge Li is a scholar working on Control and Systems Engineering, Biomedical Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 53 papers that have together received 386 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (6 papers), Robotics and Sensor-Based Localization (6 papers), Soft Robotics and Applications (5 papers), Simulation and Modeling Applications (5 papers), Control and Dynamics of Mobile Robots (4 papers), Robotic Mechanisms and Dynamics (4 papers), Advanced Vision and Imaging (4 papers) and Robot Manipulation and Learning (4 papers). The work is most often cited by research in Biomaterials (71 citations), Rehabilitation (23 citations), Control and Systems Engineering (62 citations), Biomedical Engineering (105 citations) and Industrial and Manufacturing Engineering (21 citations). Ge Li has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yanhong Tian, Chenxi Wang, Shicheng Zhou, Jie Zhao, Yanhe Zhu, Tadatomo Suga, Hui Fang, Hegao Cai, Peng He and Qiushi Kang. Their work appears in journals such as Bio-Medical Materials and Engineering, Applied Surface Science, Proceedings of The Nutrition Society, Nuclear Engineering and Technology and International Journal of Contemporary Hospitality Management.

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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