Liangrui Peng

701 total citations
54 papers, 399 citations indexed

About

Liangrui Peng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Liangrui Peng has authored 54 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 13 papers in Media Technology. Recurrent topics in Liangrui Peng's work include Handwritten Text Recognition Techniques (43 papers), Image Retrieval and Classification Techniques (20 papers) and Image Processing and 3D Reconstruction (19 papers). Liangrui Peng is often cited by papers focused on Handwritten Text Recognition Techniques (43 papers), Image Retrieval and Classification Techniques (20 papers) and Image Processing and 3D Reconstruction (19 papers). Liangrui Peng collaborates with scholars based in China, United States and Japan. Liangrui Peng's co-authors include Xiaoqing Ding, Changsong Liu, Xiaoqing Ding, Shengjin Wang, Hua Wang, Jian‐Ming Jin, Juan Wen, Bohan Li, Yanwei Wang and Qian Xu and has published in prestigious journals such as Food Chemistry, Journal of Food Composition and Analysis and Machine Vision and Applications.

In The Last Decade

Liangrui Peng

51 papers receiving 378 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Liangrui Peng China 12 325 117 91 28 23 54 399
Nidhal K. El Abbadi Iraq 9 118 0.4× 36 0.3× 29 0.3× 13 0.5× 11 0.5× 52 260
M. K. Jindal India 16 559 1.7× 167 1.4× 387 4.3× 73 2.6× 12 0.5× 45 672
AKM Shahariar Azad Rabby Bangladesh 9 133 0.4× 87 0.7× 67 0.7× 84 3.0× 3 0.1× 26 291
Yuanzhi Liang China 8 231 0.7× 63 0.5× 48 0.5× 20 0.7× 6 0.3× 15 300
Constantinos Constantinopoulos Greece 7 123 0.4× 198 1.7× 25 0.3× 25 0.9× 3 0.1× 14 299
N. Shobha Rani India 9 200 0.6× 55 0.5× 114 1.3× 11 0.4× 5 0.2× 72 336
Chun Pong Lau United States 9 130 0.4× 72 0.6× 26 0.3× 6 0.2× 11 0.5× 23 274
Nikolaos Gkalelis Greece 10 344 1.1× 146 1.2× 21 0.2× 36 1.3× 2 0.1× 29 403

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
1.
Zhao, Tianqi, et al.. (2025). Disentangled Representation Learning for Chinese Handwriting Recognition. 1–5. 1 indexed citations
2.
Peng, Liangrui, et al.. (2025). Deep representation learning for license plate recognition in low quality video images. Machine Vision and Applications. 36(3).
3.
Tang, Pei, et al.. (2022). Domain Adaptation via Mutual Information Maximization for Handwriting Recognition. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2300–2304. 2 indexed citations
4.
Zhang, Jiguang, Xiaojing Sheng, Fang Song, et al.. (2022). Occurrence and risk exposure assessment of multiple pesticide residues in edible mint in China. Journal of Food Composition and Analysis. 116. 105071–105071. 11 indexed citations
5.
Peng, Liangrui, et al.. (2021). Primitive Representation Learning for Scene Text Recognition. 284–293. 44 indexed citations
6.
Pang, Xu, Xiuhua Liu, Liangrui Peng, et al.. (2021). Wide-scope multi-residue analysis of pesticides in beef by ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry. Food Chemistry. 351. 129345–129345. 26 indexed citations
7.
Peng, Liangrui, et al.. (2021). MEAN: Multi - Element Attention Network for Scene Text Recognition. 1–8. 1 indexed citations
8.
Peng, Liangrui, et al.. (2020). Deep Network with Pixel-Level Rectification and Robust Training for Handwriting Recognition. SN Computer Science. 1(3). 9 indexed citations
9.
10.
Peng, Liangrui, et al.. (2018). A Novel Similar Character Discrimination Method for Online Handwritten Urdu Character Recognition in Half Forms. Scientia Iranica. 0(0). 0–0. 3 indexed citations
11.
12.
Chen, Liren, et al.. (2017). Multi-layer recurrent neural network based offline Arabic handwriting recognition. 6–10. 6 indexed citations
13.
Wang, Yaqi, Liangrui Peng, Shengjin Wang, & Xiaoqing Ding. (2016). Contactless palm landmark detection and localization on mobile devices. Electronic Imaging. 28(7). 1–6. 1 indexed citations
14.
Peng, Liangrui, et al.. (2016). CNN Based Transfer Learning for Historical Chinese Character Recognition. 25–29. 28 indexed citations
15.
Brodić, Darko, et al.. (2015). Statistics Oriented Preprocessing of Document Image. Computing and Informatics / Computers and Artificial Intelligence. 34(2). 383–401.
16.
Yang, Linjie & Liangrui Peng. (2013). Local projection-based character segmentation method for historical Chinese documents. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8658. 86580O–86580O. 2 indexed citations
17.
Su, Bing, Xiaoqing Ding, Liangrui Peng, & Changsong Liu. (2013). A Novel Baseline-independent Feature Set for Arabic Handwriting Recognition. 30. 1250–1254. 13 indexed citations
18.
Li, Xin, Xiaoqing Ding, & Liangrui Peng. (2009). A Microstructure Feature Based Text-independent Method of Writer Identification for Multilingual Handwritings. ACTA AUTOMATICA SINICA. 35(9). 1199–1208. 6 indexed citations
19.
Peng, Liangrui, et al.. (2006). Multilingual document recognition research and its application in China. 126–132. 12 indexed citations
20.
Peng, Liangrui, et al.. (2002). An automatic performance evaluation method for document page segmentation. 3967. 134–137. 2 indexed citations

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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