Liling Ge

509 citations
38 papers · 412 · h-index 10

Impact in

Papers in

Liling Ge

34 papers receiving 401 citations

Peers

Liling Ge
Comparison fields: 5 of 66
  • Media Technology 61
  • Mechanical Engineering 207
  • Industrial and Manufacturing Engineering 55
  • Mechanics of Materials 105
  • Materials Chemistry 171
Replace Sangwon Hwang with:
Sangwon Hwang South Korea
Xiaobin Wu China
George E. Cook United States
Guoquan Liu China
Yulong Cai China
Weihua Xue China
He Zhao United States
Marco Zago Italy
Wenrong Wu China
Guobiao Yang China
Liling Ge relative to Sangwon Hwang South Korea Sangwon Hwang's profile →
Citations per field
00.5×11×
Sangwon Hwang · 1×
Citations per year

Countries citing papers authored by Liling Ge

Since Specialization
Citations

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

Fields of papers citing papers by Liling Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201396
2 201783
3 200843
4 201431
5 201118
6 201217
7 200717
8 201115
9 200810
10 20119
11 20078
12 20087
13 20206
14 20146
15 20085
16 20135
17 20075
18 20195
19 20194
20 20093

About Liling Ge

Liling Ge is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Mechanical Engineering, Media Technology and Materials Chemistry, having authored 38 papers that have together received 412 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (8 papers), Medical Image Segmentation Techniques (7 papers), Image and Object Detection Techniques (7 papers), Advanced Numerical Analysis Techniques (6 papers), Manufacturing Process and Optimization (4 papers), Metal and Thin Film Mechanics (4 papers), 3D Shape Modeling and Analysis (4 papers) and Ion-surface interactions and analysis (3 papers). The work is most often cited by research in Media Technology (61 citations), Mechanical Engineering (207 citations), Industrial and Manufacturing Engineering (55 citations), Mechanics of Materials (105 citations) and Materials Chemistry (171 citations). Liling Ge has collaborated with scholars based in China and New Zealand. Frequent co-authors include Yingjie Zhang, Na Tian, Zhengxin Lu, Caiyin You, Min Zhang, Qinyang Zhao, Weidong Zeng, Saifei Zhang, Ying Jie Zhang and Yongning Liu. Their work appears in journals such as Measurement, The International Journal of Advanced Manufacturing Technology, Engineering Computations, The Imaging Science Journal and Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability.

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