Zhipeng Luo

816 total citations
27 papers, 498 citations indexed

About

Zhipeng Luo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Clinical Psychology. According to data from OpenAlex, Zhipeng Luo has authored 27 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Clinical Psychology. Recurrent topics in Zhipeng Luo's work include Topic Modeling (6 papers), Machine Learning and Algorithms (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Zhipeng Luo is often cited by papers focused on Topic Modeling (6 papers), Machine Learning and Algorithms (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Zhipeng Luo collaborates with scholars based in China, United States and Singapore. Zhipeng Luo's co-authors include Shijian Lu, Gongjie Zhang, Kaiwen Cui, Eric P. Xing, Yingchen Yu, Liang Pan, Haiyu Zhao, Changqing Zhou, Miloš Hauskrecht and Tianrui Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Molecules and Pattern Recognition.

In The Last Decade

Zhipeng Luo

26 papers receiving 486 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhipeng Luo China 12 286 221 54 41 31 27 498
Jinyang Guo China 13 398 1.4× 189 0.9× 48 0.9× 68 1.7× 42 1.4× 34 524
Pulak Purkait India 12 360 1.3× 99 0.4× 133 2.5× 32 0.8× 23 0.7× 23 451
Yikang Li China 12 623 2.2× 370 1.7× 40 0.7× 40 1.0× 25 0.8× 24 789
Xiaoping Liu China 13 316 1.1× 41 0.2× 53 1.0× 25 0.6× 22 0.7× 57 492
Luca Weihs United States 9 287 1.0× 126 0.6× 44 0.8× 110 2.7× 35 1.1× 23 488
Pedro J. de Rezende Brazil 9 112 0.4× 61 0.3× 41 0.8× 23 0.6× 13 0.4× 46 308
Zhaoyang Wu China 9 103 0.4× 163 0.7× 27 0.5× 101 2.5× 115 3.7× 16 411
Xinggang Lin China 13 495 1.7× 71 0.3× 58 1.1× 20 0.5× 14 0.5× 79 578

Countries citing papers authored by Zhipeng Luo

Since Specialization
Citations

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

Fields of papers citing papers by Zhipeng Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhipeng Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Zhipeng Luo. A scholar is included among the top collaborators of Zhipeng Luo 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 Zhipeng Luo. Zhipeng Luo 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.
An, Aimin, et al.. (2025). An efficient lightweight gearbox fault diagnosis method based on parameter optimization and adaptive attention enhancement across working conditions. Measurement Science and Technology. 36(5). 56109–56109. 1 indexed citations
2.
Luo, Zhipeng, et al.. (2024). Assessment of the relationship between living alone and suicidal behaviors based on prospective studies: a systematic review and meta-analysis. Frontiers in Public Health. 12. 1444820–1444820. 1 indexed citations
3.
Luo, Zhipeng, Changqing Zhou, Liang Pan, et al.. (2024). Exploring Point-BEV Fusion for 3D Point Cloud Object Tracking With Transformer. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(9). 5921–5935. 13 indexed citations
4.
Luo, Zhipeng, Jiahui Wang, & Yihao Guo. (2023). DeepBlueAI at PragTag-2023:Ensemble-based Text Classification Approaches under Limited Data Resources. 202–206. 1 indexed citations
5.
Zhang, Yang, Zhipeng Luo, Lei Xu, et al.. (2022). The Antiviral Activity of Caprylic Monoglyceride against Porcine Reproductive and Respiratory Syndrome Virus In Vitro and In Vivo. Molecules. 27(21). 7263–7263. 8 indexed citations
6.
7.
Zhang, Gongjie, Zhipeng Luo, Yingchen Yu, Kaiwen Cui, & Shijian Lu. (2022). Accelerating DETR Convergence via Semantic-Aligned Matching. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 939–948. 84 indexed citations
8.
Zhang, Gongjie, Zhipeng Luo, Kaiwen Cui, Shijian Lu, & Eric P. Xing. (2022). Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 1–12. 99 indexed citations
9.
Luo, Zhipeng, Xiaobing Zhang, Shijian Lu, & Shuai Yi. (2022). Domain consistency regularization for unsupervised multi-source domain adaptive classification. Pattern Recognition. 132. 108955–108955. 19 indexed citations
10.
Zhang, Gongjie, Zhipeng Luo, Kaiwen Cui, & Shijian Lu. (2021). Meta-DETR: Few-Shot Object Detection via Unified Image-Level Meta-Learning. arXiv (Cornell University). 29 indexed citations
11.
Wang, Shengguang, et al.. (2021). DeepBlueAI at WANLP-EACL2021 task 2: A Deep Ensemble-based Method for Sarcasm and Sentiment Detection in Arabic. 390–394. 2 indexed citations
12.
Dong, Manqing, et al.. (2021). MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2694–2704. 23 indexed citations
13.
14.
Wang, Shengguang, et al.. (2021). DeepBlueAI at SemEval-2021 Task 1: Lexical Complexity Prediction with A Deep Ensemble Approach. 578–584. 9 indexed citations
15.
Luo, Zhipeng & Miloš Hauskrecht. (2020). Hierarchical Active Learning with Overlapping Regions. PubMed Central. 1045–1054. 2 indexed citations
16.
Luo, Zhipeng, et al.. (2019). Adaptive Ensemble. 2583–2587.
17.
Luo, Zhipeng & Miloš Hauskrecht. (2019). Region-Based Active Learning with Hierarchical and Adaptive Region Construction. Society for Industrial and Applied Mathematics eBooks. 2019. 441–449. 5 indexed citations
18.
Luo, Zhipeng & Miloš Hauskrecht. (2019). Hierarchical Active Learning with Proportion Feedback on Regions. Lecture notes in computer science. 11052. 464–480. 5 indexed citations
19.
Luo, Zhipeng & Miloš Hauskrecht. (2018). Hierarchical Active Learning with Group Proportion Feedback. PubMed. 2018. 2532–2538. 8 indexed citations
20.
Li, Daifeng, Jie Tang, Ying Ding, et al.. (2015). Topic‐level opinion influence model (TOIM): An investigation using tencent microblogging. Journal of the Association for Information Science and Technology. 66(12). 2657–2673. 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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