Pengzhen Ren

2.4k total citations · 3 hit papers
12 papers, 1.3k citations indexed

About

Pengzhen Ren is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Urban Studies. According to data from OpenAlex, Pengzhen Ren has authored 12 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 1 paper in Urban Studies. Recurrent topics in Pengzhen Ren's work include Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Face and Expression Recognition (3 papers). Pengzhen Ren is often cited by papers focused on Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Face and Expression Recognition (3 papers). Pengzhen Ren collaborates with scholars based in Australia, China and United States. Pengzhen Ren's co-authors include Xiaojun Chang, Zhihui Li, Yun Xiao, Po-Yao Huang, Xiaojiang Chen, Xin Wang, Brij B. Gupta, Xiaojiang Chen, Xin Wang and Pengfei Xu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Computing Surveys and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Pengzhen Ren

11 papers receiving 1.3k citations

Hit Papers

A Survey of Deep Active Learning 2021 2026 2022 2024 2021 2021 2021 200 400 600
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. A Survey of Deep Active Learning
    2021 628 citations Pengzhen Ren, Yun Xiao et al. ACM Computing Surveys profile →
  2. A Comprehensive Survey of Neural Architecture Search
    2021 346 citations Pengzhen Ren, Yun Xiao et al. ACM Computing Surveys profile →
  3. A Comprehensive Survey of Scene Graphs: Generation and Application
    2021 202 citations Xiaojun Chang, Pengzhen Ren et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengzhen Ren Australia 9 711 536 90 89 78 12 1.3k
Yulin Wang China 20 631 0.9× 828 1.5× 65 0.7× 120 1.3× 123 1.6× 86 1.6k
Doyen Sahoo Singapore 11 428 0.6× 607 1.1× 61 0.7× 101 1.1× 105 1.3× 21 1.3k
Xu Jia China 9 954 1.3× 593 1.1× 70 0.8× 79 0.9× 58 0.7× 17 1.3k
Gan Sun China 24 925 1.3× 892 1.7× 79 0.9× 107 1.2× 119 1.5× 68 1.7k
Marc Masana Austria 10 1.3k 1.8× 720 1.3× 88 1.0× 107 1.2× 59 0.8× 15 1.7k
Ali Thabet Saudi Arabia 13 643 0.9× 709 1.3× 65 0.7× 51 0.6× 52 0.7× 26 1.6k
Lei Cai China 19 427 0.6× 471 0.9× 62 0.7× 57 0.6× 128 1.6× 99 1.2k
Mohamed Batouche Algeria 18 475 0.7× 367 0.7× 78 0.9× 85 1.0× 113 1.4× 116 1.2k
Arun Mallya United States 13 716 1.0× 1.2k 2.2× 72 0.8× 82 0.9× 66 0.8× 16 1.7k

Countries citing papers authored by Pengzhen Ren

Since Specialization
Citations

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

Fields of papers citing papers by Pengzhen Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengzhen Ren

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

All Works

12 of 12 papers shown
1.
2.
Ren, Pengzhen, Yi Zhu, Hang Xu, et al.. (2023). MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation. 1196–1205. 7 indexed citations
3.
Han, Jianhua, Hang Xu, Pengzhen Ren, et al.. (2023). CapDet: Unifying Dense Captioning and Open-World Detection Pretraining. 15233–15243. 17 indexed citations
4.
Lü, Lei, et al.. (2022). Deformable attention-oriented feature pyramid network for semantic segmentation. Knowledge-Based Systems. 254. 109623–109623. 12 indexed citations
5.
Ren, Pengzhen, Changlin Li, Guangrun Wang, et al.. (2022). Beyond Fixation: Dynamic Window Visual Transformer. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11977–11987. 29 indexed citations
6.
Ren, Pengzhen, et al.. (2021). Person Search Challenges and Solutions: A Survey. Monash University Research Portal (Monash University). 4500–4507. 9 indexed citations
7.
Ren, Pengzhen, Yun Xiao, Xiaojun Chang, et al.. (2021). A Comprehensive Survey of Neural Architecture Search. ACM Computing Surveys. 54(4). 1–34. 346 indexed citations breakdown →
8.
Chang, Xiaojun, Pengzhen Ren, Pengfei Xu, et al.. (2021). A Comprehensive Survey of Scene Graphs: Generation and Application. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(1). 1–26. 202 indexed citations breakdown →
9.
Ren, Pengzhen, Yun Xiao, Xiaojun Chang, et al.. (2021). A Survey of Deep Active Learning. ACM Computing Surveys. 54(9). 1–40. 628 indexed citations breakdown →
10.
Xiao, Yun, et al.. (2019). RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 5482–5489. 1 indexed citations
11.
Ren, Pengzhen, et al.. (2019). Structured Optimal Graph-Based Clustering With Flexible Embedding. IEEE Transactions on Neural Networks and Learning Systems. 31(10). 3801–3813. 14 indexed citations
12.
Ren, Pengzhen, et al.. (2018). Robust Auto-Weighted Multi-View Clustering. 2644–2650. 39 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yulin Wang Breakdown of academic impact, for papers by Doyen Sahoo Breakdown of academic impact, for papers by Xu Jia Breakdown of academic impact, for papers by Gan Sun Breakdown of academic impact, for papers by Marc Masana Breakdown of academic impact, for papers by Ali Thabet Breakdown of academic impact, for papers by Lei Cai Breakdown of academic impact, for papers by Mohamed Batouche Breakdown of academic impact, for papers by Arun Mallya
Rankless by CCL
2026