Jinan Gu

1.0k citations
46 papers · 742 · h-index 15

Impact in

Papers in

Jinan Gu

42 papers receiving 721 citations

Peers

Jinan Gu
Comparison fields: 5 of 98
  • Industrial and Manufacturing Engineering 296
  • Computer Vision and Pattern Recognition 212
  • Mechanics of Materials 132
  • Civil and Structural Engineering 96
  • Media Technology 37
Replace Guifang Duan with:
Guifang Duan China
Hao Dong China
Claudia Buerhop‐Lutz Germany
Wuyi Ming China
Dong‐Joong Kang South Korea
Pavol Božek Slovakia
Yaguang Kong China
Zainul Abdin Jaffery India
Jinan Gu relative to Guifang Duan China Guifang Duan's profile →
Citations per field
00.5×4.1×
Guifang Duan · 1×
Citations per year

Countries citing papers authored by Jinan Gu

Since Specialization
Citations

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

Fields of papers citing papers by Jinan Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201782
2 201978
3 201876
4 201959
5 202147
6 202247
7 202039
8 202337
9 202124
10 202121
11 202319
12 201717
13 202316
14 202016
15 201715
16 202313
17 201613
18 201913
19 200312
20 201611

About Jinan Gu

Jinan Gu is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering, Mechanical Engineering and Media Technology, having authored 46 papers that have together received 742 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (19 papers), Advanced Neural Network Applications (9 papers), Manufacturing Process and Optimization (5 papers), Image Processing Techniques and Applications (4 papers), Remote Sensing in Agriculture (4 papers), Smart Agriculture and AI (4 papers), Image and Object Detection Techniques (4 papers) and Mechanical Behavior of Composites (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (296 citations), Computer Vision and Pattern Recognition (212 citations), Mechanics of Materials (132 citations), Civil and Structural Engineering (96 citations) and Media Technology (37 citations). Jinan Gu has collaborated with scholars based in China, Ghana and United States. Frequent co-authors include Xiaohong Sun, Jing Li, Rui Huang, Chao Zhang, Wenbo Wang, Tiantian Hu, Yingfeng Zhang, Jin Wang, Liang Ma and Weiye Li. Their work appears in journals such as Electronics, Agronomy, Applied Sciences, Optik and Computational Intelligence and Neuroscience.

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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