Qingfeng Liu

474 total citations
15 papers, 315 citations indexed

About

Qingfeng Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Qingfeng Liu has authored 15 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 3 papers in Media Technology and 2 papers in Signal Processing. Recurrent topics in Qingfeng Liu's work include Face and Expression Recognition (6 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Face recognition and analysis (4 papers). Qingfeng Liu is often cited by papers focused on Face and Expression Recognition (6 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Face recognition and analysis (4 papers). Qingfeng Liu collaborates with scholars based in United States, China and Canada. Qingfeng Liu's co-authors include Chengjun Liu, Ossama Abdel‐Hamid, Li-Rong Dai, Hui Jiang, Chengjun Liu, Yu Fang, Bin Chen, Chin‐Hui Lee, Jun Du and Xiang Bao and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE/ACM Transactions on Audio Speech and Language Processing and Computers, materials & continua/Computers, materials & continua (Print).

In The Last Decade

Qingfeng Liu

15 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingfeng Liu United States 8 138 118 115 30 22 15 315
Suxia Cui United States 10 41 0.3× 54 0.5× 137 1.2× 43 1.4× 35 1.6× 53 371
Daniel Stanley Tan Taiwan 9 170 1.2× 31 0.3× 279 2.4× 59 2.0× 17 0.8× 37 460
Taisong Jin China 12 118 0.9× 34 0.3× 234 2.0× 56 1.9× 14 0.6× 30 391
Cong Hu China 11 129 0.9× 31 0.3× 181 1.6× 20 0.7× 17 0.8× 54 309
A. Suruliandi India 10 101 0.7× 49 0.4× 258 2.2× 66 2.2× 13 0.6× 70 396
Lin Nie China 8 91 0.7× 48 0.4× 188 1.6× 16 0.5× 41 1.9× 21 328
Euisun Choi South Korea 7 88 0.6× 47 0.4× 170 1.5× 37 1.2× 8 0.4× 23 356
Silvio Jamil F. Guimarães Brazil 13 85 0.6× 74 0.6× 342 3.0× 63 2.1× 12 0.5× 75 443
Rongchun Zhao China 8 88 0.6× 42 0.4× 198 1.7× 67 2.2× 7 0.3× 57 321
Samuel G. Fadel Brazil 6 158 1.1× 52 0.4× 194 1.7× 29 1.0× 11 0.5× 9 332

Countries citing papers authored by Qingfeng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Qingfeng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingfeng Liu

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

All Works

15 of 15 papers shown
1.
2.
Liu, Qingfeng, Mostafa El‐Khamy, Dongwoon Bai, & Jungwon Lee. (2020). GSANet: Semantic Segmentation With Global And Selective Attention. 1471–1475. 1 indexed citations
3.
Du, Jun, et al.. (2019). Using Generalized Gaussian Distributions to Improve Regression Error Modeling for Deep Learning-Based Speech Enhancement. IEEE/ACM Transactions on Audio Speech and Language Processing. 27(12). 1919–1931. 20 indexed citations
4.
Liu, Zhe, et al.. (2019). An Improved Unsupervised Image Segmentation Method Based on Multi-objective Particle Swarm Optimization Clustering Algorithm. Computers, materials & continua/Computers, materials & continua (Print). 58(2). 451–461. 20 indexed citations
5.
Liu, Qingfeng, et al.. (2018). Generative and Discriminative Sparse Coding for Image Classification Applications. 1824–1832. 1 indexed citations
6.
Liu, Qingfeng, et al.. (2018). Multiple Anthropological Fisher Kernel Framework and Its Application to Kinship Verification. 57–65. 1 indexed citations
7.
Liu, Qingfeng & Chengjun Liu. (2017). A Novel Locally Linear KNN Method With Applications to Visual Recognition. IEEE Transactions on Neural Networks and Learning Systems. 28(9). 2010–2021. 51 indexed citations
8.
Liu, Qingfeng, et al.. (2016). SIFT flow based genetic fisher vector feature for kinship verification. 2921–2925. 20 indexed citations
9.
Liu, Qingfeng & Chengjun Liu. (2015). A novel locally linear KNN model for visual recognition. 25 indexed citations
10.
Liu, Qingfeng, et al.. (2015). Learning the discriminative dictionary for sparse representation by a general fisher regularized model. 35. 4347–4351. 1 indexed citations
11.
Liu, Qingfeng, et al.. (2015). Inheritable Fisher vector feature for kinship verification. 1–6. 28 indexed citations
12.
Liu, Qingfeng, et al.. (2015). Novel general KNN classifier and general nearest mean classifier for visual classification. 1810–1814. 4 indexed citations
13.
Abdel‐Hamid, Ossama, et al.. (2014). Fast Adaptation of Deep Neural Network Based on Discriminant Codes for Speech Recognition. IEEE/ACM Transactions on Audio Speech and Language Processing. 22(12). 1713–1725. 100 indexed citations
14.
Chen, Bin, et al.. (2013). A precision agriculture management system based on Internet of Things and WebGIS. 1–5. 40 indexed citations
15.
Liu, Qingfeng, et al.. (2013). ‘CONJUGACY CLASS SIZE CONDITIONS WHICH IMPLY SOLVABILITY’. Bulletin of the Australian Mathematical Society. 89(3). 522–523. 1 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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Breakdown of academic impact, for papers by Suxia Cui Breakdown of academic impact, for papers by Daniel Stanley Tan Breakdown of academic impact, for papers by Taisong Jin Breakdown of academic impact, for papers by Cong Hu Breakdown of academic impact, for papers by A. Suruliandi Breakdown of academic impact, for papers by Lin Nie Breakdown of academic impact, for papers by Euisun Choi Breakdown of academic impact, for papers by Silvio Jamil F. Guimarães Breakdown of academic impact, for papers by Rongchun Zhao Breakdown of academic impact, for papers by Samuel G. Fadel
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