Xujun Peng

893 total citations
44 papers, 567 citations indexed

About

Xujun Peng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Xujun Peng has authored 44 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 12 papers in Media Technology and 7 papers in Artificial Intelligence. Recurrent topics in Xujun Peng's work include Handwritten Text Recognition Techniques (17 papers), Image Retrieval and Classification Techniques (12 papers) and Image Enhancement Techniques (9 papers). Xujun Peng is often cited by papers focused on Handwritten Text Recognition Techniques (17 papers), Image Retrieval and Classification Techniques (12 papers) and Image Enhancement Techniques (9 papers). Xujun Peng collaborates with scholars based in United States, China and Macao. Xujun Peng's co-authors include Huaigu Cao, Chunguang Zhou, Sujing Wang, Prem Natarajan, Peng Lu, Srirangaraj Setlur, Venu Govindaraju, Mingming Sun, Jian Yang and Huiling Chen and has published in prestigious journals such as Cellular and Molecular Life Sciences, Pattern Recognition and Mechanical Systems and Signal Processing.

In The Last Decade

Xujun Peng

40 papers receiving 538 citations

Peers

Xujun Peng
Kailing Guo China
Jianchao Tan United States
Yanwei Pang China
José A. Iglesias-Guitián Italy
Jiachao Zhang China
Cheng-Chih Tsai Taiwan
Elisa Drelie Gelasca Switzerland
Hector Yee United States
Alaa Eleyan Türkiye
Kailing Guo China
Xujun Peng
Citations per year, relative to Xujun Peng Xujun Peng (= 1×) peers Kailing Guo

Countries citing papers authored by Xujun Peng

Since Specialization
Citations

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

Fields of papers citing papers by Xujun Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xujun Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Xujun Peng. A scholar is included among the top collaborators of Xujun 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 Xujun Peng. Xujun 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.
Peng, Xujun, et al.. (2025). Successive Nonlinear Chirp Component Analysis. Mechanical Systems and Signal Processing. 229. 112548–112548.
2.
Lu, Peng, et al.. (2025). Learnable adaptive bilateral filter for improved generalization in Single Image Super-Resolution. Pattern Recognition. 162. 111396–111396. 2 indexed citations
3.
Zheng, Yang, et al.. (2025). Multidimensional generalized normal cloud model for uncertainty propagation. Computational and Applied Mathematics. 44(5).
4.
5.
Lu, Peng, et al.. (2024). Hierarchical Color Fusion Network (HCFN): Enhancing exemplar-based video colorization. Neurocomputing. 598. 128121–128121.
6.
7.
Lu, Peng, et al.. (2020). Learning the Relation Between Interested Objects and Aesthetic Region for Image Cropping. IEEE Transactions on Multimedia. 23. 3618–3630. 14 indexed citations
8.
Lu, Peng, et al.. (2018). Gated CNN for visual quality assessment based on color perception. Signal Processing Image Communication. 72. 105–112. 9 indexed citations
9.
Lu, Peng, et al.. (2018). Deep Conditional Color Harmony Model for Image Aesthetic Assessment. 2845–2850. 2 indexed citations
10.
Lu, Peng, Xujun Peng, Caixia Yuan, Ruifan Li, & Xiaojie Wang. (2016). Image color harmony modeling through neighbored co-occurrence colors. Neurocomputing. 201. 82–91. 9 indexed citations
11.
Wang, Gang, et al.. (2015). Multiple parameter control for ant colony optimization applied to feature selection problem. Neural Computing and Applications. 26(7). 1693–1708. 21 indexed citations
12.
Peng, Xujun, Huaigu Cao, & Prem Natarajan. (2015). Document image OCR accuracy prediction via latent Dirichlet allocation. 771–775. 12 indexed citations
13.
Lu, Peng, Xujun Peng, Ruifan Li, & Xiaojie Wang. (2015). Towards aesthetics of image: A Bayesian framework for color harmony modeling. Signal Processing Image Communication. 39. 487–498. 14 indexed citations
14.
Zha, Shengxin, et al.. (2014). Text Classification via iVector Based Feature Representation. 151–155. 1 indexed citations
15.
Peng, Xujun, Huaigu Cao, Krishna Subramanian, Rohit Prasad, & Prem Natarajan. (2011). Automated image quality assessment for camera-captured OCR. 22 indexed citations
16.
Peng, Xujun, et al.. (2011). Handwritten text separation from annotated machine printed documents using Markov Random Fields. International Journal on Document Analysis and Recognition (IJDAR). 16(1). 1–16. 20 indexed citations
17.
Peng, Xujun, et al.. (2011). Using a boosted tree classifier for text segmentation in hand-annotated documents. Pattern Recognition Letters. 33(7). 943–950. 13 indexed citations
18.
Wang, Sujing, Chunguang Zhou, Yu‐Hsin Chen, et al.. (2011). A novel face recognition method based on sub-pattern and tensor. Neurocomputing. 74(17). 3553–3564. 8 indexed citations
19.
Peng, Xujun, et al.. (2010). Text Separation from Mixed Documents Using a Tree-Structured Classifier. 2. 241–244. 4 indexed citations
20.
Peng, Xujun, et al.. (2010). Overlapped text segmentation using Markov random field and aggregation. 129–134. 6 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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2026