Lu Rong

19 papers receiving 371 citations

Peers

Lu Rong
Comparison fields: 5 of 69
  • Computer Graphics and Computer-Aided Design 87
  • Experimental and Cognitive Psychology 78
  • Artificial Intelligence 185
  • Computer Vision and Pattern Recognition 111
  • Computational Mechanics 60
Replace Stéphane Gobron with:
Stéphane Gobron Switzerland
Tiancheng Shen China
Atsumi Imamiya Japan
Josh Wills United States
Marcelo Bernardes Vieira Brazil
Jose Echevarria United States
Bob Coyne United States
Jaume Rigau Spain
L. Sharan United States
Alec Radford
Lu Rong relative to Stéphane Gobron Switzerland Stéphane Gobron's profile →
Citations per field
00.5×5×11.7×
Stéphane Gobron · 1×
Citations per year

Countries citing papers authored by Lu Rong

Since Specialization
Citations

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

Fields of papers citing papers by Lu Rong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202096
2 202379
3 199874
4 202026
5 200017
6 199915
7 202313
8 202211
9 202411
10 200011
11 199910
12 20227
13 20176
14 20114
15 20054
16 20183
17 20242
18 20212
19 20251

About Lu Rong

Lu Rong is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 19 papers that have together received 392 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (6 papers), Sentiment Analysis and Opinion Mining (6 papers), Color Science and Applications (5 papers), Advanced Text Analysis Techniques (4 papers), Emotion and Mood Recognition (3 papers), Surface Roughness and Optical Measurements (3 papers), Drilling and Well Engineering (2 papers) and 3D Shape Modeling and Analysis (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (87 citations), Experimental and Cognitive Psychology (78 citations), Artificial Intelligence (185 citations), Computer Vision and Pattern Recognition (111 citations) and Computational Mechanics (60 citations). Lu Rong has collaborated with scholars based in China, Sweden and Hong Kong. Frequent co-authors include Astrid M. L. Kappers, Jan J. Koenderink, Yazhou Zhang, Dawei Song, Panpan Wang, Prayag Tiwari, Xiang Li, Peng Zhang, Jing Qin and Qian Zheng. Their work appears in journals such as Applied Optics, Information Fusion, Neural Networks, Computer Vision and Image Understanding and IEEE Transactions on Consumer Electronics.

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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