Peixi Peng

2.0k total citations · 1 hit paper
42 papers, 1.1k citations indexed

About

Peixi Peng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Peixi Peng has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 5 papers in Automotive Engineering. Recurrent topics in Peixi Peng's work include Video Surveillance and Tracking Methods (15 papers), Advanced Neural Network Applications (10 papers) and Human Pose and Action Recognition (7 papers). Peixi Peng is often cited by papers focused on Video Surveillance and Tracking Methods (15 papers), Advanced Neural Network Applications (10 papers) and Human Pose and Action Recognition (7 papers). Peixi Peng collaborates with scholars based in China, Singapore and United Kingdom. Peixi Peng's co-authors include Yonghong Tian, Tiejun Huang, Yaowei Wang, Guangyao Chen, Massimiliano Pontil, Tao Xiang, Xiangqian Wang, Shaogang Gong, Mengyue Geng and Yidong Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Peixi Peng

39 papers receiving 1.1k citations

Hit Papers

Adversarial Reciprocal Points Learning for Open Set Recog... 2021 2026 2022 2024 2021 50 100 150 200
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.

  1. Adversarial Reciprocal Points Learning for Open Set Recognition
    2021 203 citations Guangyao Chen, Peixi Peng et al. profile →

Peers

Peixi Peng
Weihao Gan China
Yang Wu China
Lorenzo Seidenari Italy
Songzhi Su China
Chetan Arora India
De Cheng China
Hehe Fan China
Shilei Wen China
Zhilan Hu China
Weihao Gan China
Peixi Peng
Citations per year, relative to Peixi Peng Peixi Peng (= 1×) peers Weihao Gan

Countries citing papers authored by Peixi Peng

Since Specialization
Citations

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

Fields of papers citing papers by Peixi Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peixi Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Peixi Peng. A scholar is included among the top collaborators of Peixi 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 Peixi Peng. Peixi 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.
Sun, Bo, et al.. (2024). A fuzzy logic constrained particle swarm optimization algorithm for industrial design problems. Applied Soft Computing. 167. 112456–112456. 3 indexed citations
2.
Peng, Peixi, et al.. (2024). Eye Gaze Guided Cross-Modal Alignment Network for Radiology Report Generation. IEEE Journal of Biomedical and Health Informatics. 28(12). 7406–7419. 3 indexed citations
3.
Peng, Peixi, Anne Bernhardt, Michael Gelinsky, et al.. (2024). Gelatin Methacryloyl (GelMA) - 45S5 Bioactive Glass (BG) Composites for Bone Tissue Engineering: 3D Extrusion Printability and Cytocompatibility Assessment Using Human Osteoblasts. ACS Biomaterials Science & Engineering. 10(8). 5122–5135. 10 indexed citations
4.
Ma, Li, Yifan Zhao, Peixi Peng, & Yonghong Tian. (2024). Sensitivity Decouple Learning for Image Compression Artifacts Reduction. IEEE Transactions on Image Processing. 33. 3620–3633. 5 indexed citations
5.
Chen, Guangyao, et al.. (2024). Adaptive Discovering and Merging for Incremental Novel Class Discovery. Proceedings of the AAAI Conference on Artificial Intelligence. 38(10). 11276–11284. 5 indexed citations
6.
He, Zhaocheng, et al.. (2024). Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction. 14822–14832. 3 indexed citations
7.
Zhang, Yue, et al.. (2024). Dual modality prompt learning for visual question-grounded answering in robotic surgery. SHILAP Revista de lepidopterología. 7(1). 9–9. 2 indexed citations
8.
Peng, Peixi, et al.. (2024). Prior-Posterior Knowledge Prompting-and-Reasoning for Surgical Visual Question Localized-Answering. EMNLP 2020. 1–9. 1 indexed citations
9.
10.
Zhai, Yunpeng, et al.. (2023). Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation. 34. 207–216. 2 indexed citations
11.
Zhai, Yunpeng, Peixi Peng, Su Chen, & Yonghong Tian. (2023). Dynamic Belief for Decentralized Multi-Agent Cooperative Learning. 344–352.
12.
13.
Peng, Peixi, et al.. (2023). MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control. IEEE Transactions on Knowledge and Data Engineering. 35(11). 11570–11584. 24 indexed citations
14.
15.
Ma, Li, Peixi Peng, Guangyao Chen, et al.. (2022). Picking Up Quantization Steps for Compressed Image Classification. IEEE Transactions on Circuits and Systems for Video Technology. 33(4). 1884–1898. 1 indexed citations
16.
Qi, Shuhan, et al.. (2022). Cascaded Attention: Adaptive and Gated Graph Attention Network for Multiagent Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems. 35(3). 3769–3779. 9 indexed citations
17.
Jin, Yi, et al.. (2021). Model Latent Views With Multi-Center Metric Learning for Vehicle Re-Identification. IEEE Transactions on Intelligent Transportation Systems. 22(3). 1919–1931. 41 indexed citations
18.
Ma, Li, et al.. (2021). Reducing Image Compression Artifacts for Deep Neural Networks. 355–355. 3 indexed citations
19.
Chen, Guangyao, et al.. (2021). Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 448–457. 60 indexed citations
20.
Wang, Yaowei, et al.. (2020). End-Edge-Cloud Collaborative System: A Video Big Data Processing and Analysis Architecture. 233–236. 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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