Liangrui Peng

701 citations
54 papers · 399 indexed · h-index 12
Topics
Handwritten Text Recognition Techniques (43 papers)Image Retrieval and Classification Techniques (20 papers)Image Processing and 3D Reconstruction (19 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Liangrui Peng

51 papers receiving 378 citations

Peers

Liangrui Peng
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 325
  • Artificial Intelligence 117
  • Media Technology 91
  • Human-Computer Interaction 28
  • Food Science 23
Replace N. Shobha Rani with:
N. Shobha Rani India
M. K. Jindal India
Nidhal K. El Abbadi Iraq
H. S. Nagendraswamy India
Yuanzhi Liang China
Saiful Islam India
Chun Pong Lau United States
Md Jahid Hasan Bangladesh
Liangrui Peng relative to N. Shobha Rani India N. Shobha Rani's profile →
Citations per field
00.5×4.6×
N. Shobha Rani · 1×
Citations per year

Countries citing papers authored by Liangrui Peng

Since Specialization
Citations

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

Fields of papers citing papers by Liangrui Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangrui Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Liangrui Peng. A scholar is included among the top collaborators of Liangrui Peng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liangrui Peng. Liangrui Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 11
4 2
5 44
6 26
7 1
8 9
9 6
10 3
11 5
12 10
13 28
14
Statistics Oriented Preprocessing of Document Image
0
15 2
16 13
17 2
18 6
19 12
20 2

About Liangrui Peng

Liangrui Peng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction, having authored 54 papers that have together received 399 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (43 papers), Image Retrieval and Classification Techniques (20 papers) and Image Processing and 3D Reconstruction (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (325 citations), Media Technology (91 citations) and Human-Computer Interaction (28 citations). Liangrui Peng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiaoqing Ding, Changsong Liu, Xiaoqing Ding, Shengjin Wang, Jian‐Ming Jin, Hua Wang, Juan Wen, Bohan Li, Yanwei Wang and Qian Xu. Their work appears in journals such as Food Chemistry, Journal of Food Composition and Analysis and Machine Vision and Applications.

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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