Ruru Pan

1.8k citations
128 papers · 1.2k · h-index 20

Impact in

Papers in

Ruru Pan

120 papers receiving 1.2k citations

Peers

Ruru Pan
Comparison fields: 5 of 96
  • Industrial and Manufacturing Engineering 859
  • Polymers and Plastics 528
  • Computer Vision and Pattern Recognition 633
  • Media Technology 189
  • Computational Mechanics 132
Replace Anindya Ghosh with:
Anindya Ghosh India
Chenming Wu China
You Wu China
Koichi OZAKI Japan
G. A. V. Leaf United Kingdom
Zahi Nakad Lebanon
Karl D. D. Willis United States
Woo‐Kyun Jung South Korea
Ruru Pan relative to Anindya Ghosh India Anindya Ghosh's profile →
Citations per field
00.5×10×15×21.1×
Anindya Ghosh · 1×
Citations per year

Countries citing papers authored by Ruru Pan

Since Specialization
Citations

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

Fields of papers citing papers by Ruru Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201576
2 202070
3 201045
4 201943
5 202034
6 201034
7 201033
8 202028
9 201524
10 202023
11 201523
12 201320
13 201920
14 201920
15 201920
16 201419
17 201219
18 201119
19 201019
20 201919

About Ruru Pan

Ruru Pan is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Polymers and Plastics, Atomic and Molecular Physics, and Optics and Media Technology, having authored 128 papers that have together received 1.2k indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (95 papers), Textile materials and evaluations (64 papers), Optical measurement and interference techniques (32 papers), Color Science and Applications (28 papers), Image Processing Techniques and Applications (17 papers), Advanced Image and Video Retrieval Techniques (15 papers), Image Retrieval and Classification Techniques (14 papers) and Image and Object Detection Techniques (13 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (859 citations), Polymers and Plastics (528 citations), Computer Vision and Pattern Recognition (633 citations), Media Technology (189 citations) and Computational Mechanics (132 citations). Ruru Pan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Weidong Gao, Jun Xiang, Jie Zhang, Jingan Wang, Lei Wang, Jihong Liu, Hongbo Wang, Dandan Zhu, Jian Zhou and Jihong Liu. Their work appears in journals such as Textile Research Journal, Journal of the Textile Institute, Fibres and Textiles in Eastern Europe, Color Research & Application and IEEE Access.

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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