Chengjun Liu

4.2k total citations · 1 hit paper
34 papers, 2.8k citations indexed

About

Chengjun Liu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Chengjun Liu has authored 34 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 7 papers in Signal Processing and 6 papers in Media Technology. Recurrent topics in Chengjun Liu's work include Face and Expression Recognition (27 papers), Image Retrieval and Classification Techniques (15 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Chengjun Liu is often cited by papers focused on Face and Expression Recognition (27 papers), Image Retrieval and Classification Techniques (15 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Chengjun Liu collaborates with scholars based in United States, China and Hong Kong. Chengjun Liu's co-authors include Harry Wechsler, Jian Yang, Qingfeng Liu, Shuo Chen, Lei Zhang, Zhiming Liu, Jian Yang, Jingyu Yang, Shuo Chen and Abhishek Verma and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Chengjun Liu

32 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition

2002 1.4k citations Chengjun Liu, Harry Wechsler IEEE Transactions on Image Processing profile →

Peers

Chengjun Liu

CVPR

SP

MT

AI

AS

B. Moghaddam United States

Yuxiao Hu United States

Juwei Lu Canada

Nishan Canagarajah United Kingdom

Tyng-Luh Liu Taiwan

Michael J. Swain United States

Qiuqi Ruan China

Roberto Brunelli Italy

Bogdan Smołka Poland

Hanqing Lu China

B. Moghaddam United States

Chengjun Liu

3.0k ×1.2

CVPR

780 ×1.0

SP

293 ×0.6

MT

481 ×1.8

AI

59 ×0.4

AS

Citations per year, relative to Chengjun Liu Chengjun Liu (= 1×) peers B. Moghaddam

Countries citing papers authored by Chengjun Liu

Since Specialization

Citations

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

Fields of papers citing papers by Chengjun Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengjun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Chengjun Liu. A scholar is included among the top collaborators of Chengjun Liu 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 Chengjun Liu. Chengjun Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zhang, Yuexin, et al.. (2025). Numerical Simulation on the Thermodynamic Equilibrium of Inclusions in the Continuous Casting Bloom. Metallurgical and Materials Transactions B. 56(2). 1605–1616.

2.

Guo, Lei, Chengjun Liu, Youxi Wu, & Guizhi Xu. (2023). fMRI-based spiking neural network verified by anti-damage capabilities under random attacks. Chaos Solitons & Fractals. 176. 114083–114083. 1 indexed citations

3.

Liu, Chengjun, et al.. (2017). The principal moments of inertia calculated with the hydrostatic equilibrium figure of the Earth. Geodesy and Geodynamics. 8(3). 201–205. 1 indexed citations

4.

Liu, Qingfeng & Chengjun Liu. (2015). A novel locally linear KNN model for visual recognition. 25 indexed citations

5.

Chen, Shuo & Chengjun Liu. (2014). Eye detection using discriminatory Haar features and a new efficient SVM. Image and Vision Computing. 33. 68–77. 46 indexed citations

6.

Liu, Chengjun, et al.. (2011). An effective colour feature extraction method using evolutionary computation for face recognition. International Journal of Biometrics. 3(3). 206–206. 3 indexed citations

7.

Yang, Jian, et al.. (2010). What kind of color spaces is suitable for color face recognition?. Neurocomputing. 73(10-12). 2140–2146. 24 indexed citations

8.

Chen, Shuo & Chengjun Liu. (2010). Eye detection using color information and a new efficient SVM. 11. 1–6. 5 indexed citations

9.

Liu, Zhiming, Chengjun Liu, & Qingchuan Tao. (2009). Learning-based image representation and method for face recognition. 5681. 1–6. 1 indexed citations

10.

Yang, Jian & Chengjun Liu. (2008). Color Image Discriminant Models and Algorithms for Face Recognition. IEEE Transactions on Neural Networks. 19(12). 2088–2098. 73 indexed citations

11.

Liu, Chengjun. (2007). The Bayes Decision Rule Induced Similarity Measures. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29(6). 1086–1090. 35 indexed citations

12.

Yang, Jian & Chengjun Liu. (2007). A General Discriminant Model for Color Face Recognition. 1–6. 25 indexed citations

13.

Liu, Chengjun, et al.. (2006). Improving the Face Recognition Grand Challenge Baseline Performance using Color Configurations Across Color Spaces. 1001–1004. 44 indexed citations

14.

Liu, Chengjun. (2004). Gabor-based kernel pca with fractional power polynomial models for face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 26(5). 572–581. 395 indexed citations

15.

Liu, Chengjun & Harry Wechsler. (2003). Independent component analysis of gabor features for face recognition. IEEE Transactions on Neural Networks. 14(4). 919–928. 318 indexed citations

16.

Liu, Chengjun & Harry Wechsler. (2002). Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition. IEEE Transactions on Image Processing. 11(4). 467–476. 1366 indexed citations breakdown →

17.

Liu, Chengjun & Harry Wechsler. (2002). Learning the face space-representation and recognition. 1. 249–256. 7 indexed citations

18.

Liu, Chengjun & Harry Wechsler. (2002). Probabilistic reasoning models for face recognition. 827–832. 33 indexed citations

19.

Liu, Chengjun & Harry Wechsler. (2002). A unified Bayesian framework for face recognition. 1. 151–155. 16 indexed citations

20.

Liu, Chengjun & Harry Wechsler. (1998). Unified Bayesian framework for face recognition. International Conference on Image Processing. 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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