Zhen-Peng Bian

497 total citations
9 papers, 352 citations indexed

About

Zhen-Peng Bian is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Zhen-Peng Bian has authored 9 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Human-Computer Interaction. Recurrent topics in Zhen-Peng Bian's work include Advanced Neural Network Applications (3 papers), Gaze Tracking and Assistive Technology (2 papers) and Video Surveillance and Tracking Methods (2 papers). Zhen-Peng Bian is often cited by papers focused on Advanced Neural Network Applications (3 papers), Gaze Tracking and Assistive Technology (2 papers) and Video Surveillance and Tracking Methods (2 papers). Zhen-Peng Bian collaborates with scholars based in Singapore, China and Hong Kong. Zhen-Peng Bian's co-authors include Lap‐Pui Chau, Nadia Magnenat‐Thalmann, Junhui Hou, Yi Wang, Ruohe Yao, Ying He and Jing Tian and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Neural Networks and Learning Systems and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

Zhen-Peng Bian

9 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhen-Peng Bian Singapore 7 245 137 65 50 44 9 352
Maria Cornacchia United States 5 255 1.0× 116 0.8× 71 1.1× 28 0.6× 47 1.1× 17 390
Mohd Norzali Haji Mohd Malaysia 10 167 0.7× 98 0.7× 63 1.0× 11 0.2× 32 0.7× 41 330
Rony Darazi France 9 261 1.1× 197 1.4× 71 1.1× 20 0.4× 67 1.5× 26 473
Homa Foroughi Iran 7 338 1.4× 152 1.1× 125 1.9× 25 0.5× 69 1.6× 14 401
Brahim Nini Algeria 6 358 1.5× 98 0.7× 163 2.5× 16 0.3× 39 0.9× 22 444
Ghanapriya Singh India 9 103 0.4× 75 0.5× 40 0.6× 15 0.3× 15 0.3× 28 307
René Grzeszick Germany 7 279 1.1× 91 0.7× 131 2.0× 19 0.4× 15 0.3× 17 429
Marco Bassoli Italy 7 243 1.0× 139 1.0× 78 1.2× 9 0.2× 121 2.8× 8 453

Countries citing papers authored by Zhen-Peng Bian

Since Specialization
Citations

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

Fields of papers citing papers by Zhen-Peng Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen-Peng Bian

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

All Works

9 of 9 papers shown
1.
Bian, Zhen-Peng, et al.. (2022). FLSRNet: pedestrian attribute recognition using focal label smoothing regularization. Signal Image and Video Processing. 16(6). 1463–1470. 2 indexed citations
2.
Wang, Yi, et al.. (2021). Rethinking and Designing a High-Performing Automatic License Plate Recognition Approach. IEEE Transactions on Intelligent Transportation Systems. 23(7). 8868–8880. 51 indexed citations
3.
Wang, Yi, Zhen-Peng Bian, Junhui Hou, & Lap‐Pui Chau. (2020). Convolutional Neural Networks With Dynamic Regularization. IEEE Transactions on Neural Networks and Learning Systems. 32(5). 2299–2304. 26 indexed citations
4.
Bian, Zhen-Peng, Junhui Hou, Lap‐Pui Chau, & Nadia Magnenat‐Thalmann. (2015). Facial Position and Expression-Based Human–Computer Interface for Persons With Tetraplegia. IEEE Journal of Biomedical and Health Informatics. 20(3). 915–924. 23 indexed citations
5.
Bian, Zhen-Peng, Junhui Hou, Lap‐Pui Chau, & Nadia Magnenat‐Thalmann. (2014). Fall Detection Based on Body Part Tracking Using a Depth Camera. IEEE Journal of Biomedical and Health Informatics. 19(2). 430–439. 200 indexed citations
6.
Bian, Zhen-Peng, et al.. (2014). Fast Sign Detection Algorithm for the RNS Moduli Set <inline-formula> <tex-math notation="LaTeX">$\{2^{n+1}-1, 2^{n}-1, 2^{n}\}$ </tex-math></inline-formula>. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 23(2). 379–383. 19 indexed citations
7.
Bian, Zhen-Peng, Junhui Hou, Lap‐Pui Chau, & Nadia Magnenat‐Thalmann. (2014). Human Computer Interface for Quadriplegic People Based on Face Position/gesture Detection. 1221–1224. 2 indexed citations
8.
Hou, Junhui, Zhen-Peng Bian, Lap‐Pui Chau, Nadia Magnenat‐Thalmann, & Ying He. (2014). Restoring corrupted motion capture data via jointly low-rank matrix completion. 1–6. 9 indexed citations
9.
Bian, Zhen-Peng, Lap‐Pui Chau, & Nadia Magnenat‐Thalmann. (2012). Fall detection based on skeleton extraction. DR-NTU (Nanyang Technological University). 91–94. 20 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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