Peng Ren

4.3k total citations · 7 hit papers
179 papers, 3.0k citations indexed

About

Peng Ren is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Oceanography. According to data from OpenAlex, Peng Ren has authored 179 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Computer Vision and Pattern Recognition, 50 papers in Media Technology and 28 papers in Oceanography. Recurrent topics in Peng Ren's work include Remote-Sensing Image Classification (37 papers), Image Enhancement Techniques (28 papers) and Advanced Image and Video Retrieval Techniques (28 papers). Peng Ren is often cited by papers focused on Remote-Sensing Image Classification (37 papers), Image Enhancement Techniques (28 papers) and Advanced Image and Video Retrieval Techniques (28 papers). Peng Ren collaborates with scholars based in China, United Kingdom and Spain. Peng Ren's co-authors include Hao Wang, Chunbo Luo, Shixin Sun, Xingrui Yu, Xiao Bai, Peng Li, Xiaomin Wu, Cai Luo, Leijian Yu and Yongqing Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Remote Sensing of Environment and IEEE Transactions on Industrial Electronics.

In The Last Decade

Peng Ren

167 papers receiving 2.9k citations

Hit Papers

A Reinforcement Learning Paradigm of Configuring Visual E... 2023 2026 2024 2025 2023 2024 2024 2025 2025 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Ren China 31 1.4k 1.0k 394 387 378 179 3.0k
Grégoire Mercier France 28 710 0.5× 1.1k 1.1× 268 0.7× 707 1.8× 263 0.7× 107 2.8k
Gholamreza Akbarizadeh Iran 30 855 0.6× 563 0.6× 221 0.6× 301 0.8× 519 1.4× 76 2.6k
Torbjørn Eltoft Norway 29 619 0.4× 715 0.7× 496 1.3× 411 1.1× 968 2.6× 118 2.8k
Κωνσταντίνος Καράντζαλος Greece 28 659 0.5× 1.3k 1.3× 107 0.3× 271 0.7× 184 0.5× 115 2.6k
Tao Zhang China 27 796 0.6× 674 0.7× 128 0.3× 242 0.6× 664 1.8× 220 2.6k
Yu Li China 22 414 0.3× 403 0.4× 226 0.6× 146 0.4× 221 0.6× 147 1.7k
Zenghui Zhang China 28 820 0.6× 468 0.5× 309 0.8× 292 0.8× 1.2k 3.2× 165 2.8k
Jianchao Fan China 22 299 0.2× 410 0.4× 156 0.4× 365 0.9× 372 1.0× 81 1.5k
Feng Gao China 26 1.1k 0.8× 1.4k 1.3× 119 0.3× 364 0.9× 428 1.1× 194 3.0k
Fang Liu China 30 1.1k 0.8× 1.6k 1.5× 63 0.2× 475 1.2× 513 1.4× 150 3.1k

Countries citing papers authored by Peng Ren

Since Specialization
Citations

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

Fields of papers citing papers by Peng Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Ren. A scholar is included among the top collaborators of Peng 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 Peng Ren. Peng Ren 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.
Ren, Peng, et al.. (2025). Confucius tri-learning: A paradigm of learning from both good examples and bad examples. Pattern Recognition. 163. 111481–111481. 20 indexed citations breakdown →
3.
Wang, Chao, et al.. (2024). Hyperspectral Image Super-Resolution With ConvLSTM Skip-Connections. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 30 indexed citations
4.
Wang, Changcheng, Jianjun Zhu, Dongmei Song, et al.. (2024). TVPol-Edge: An Edge Detection Method With Time-Varying Polarimetric Characteristics for Crop Field Edge Delineation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 1 indexed citations
5.
Min, Geyong, et al.. (2024). Ubiquitous and Robust UxV Networks: Overviews, Solutions, Challenges, and Opportunities. IEEE Network. 38(2). 26–34. 4 indexed citations
6.
Wan, Yong, Peng Ren, Lu Fan, et al.. (2024). Storage Tank Target Detection for Large-Scale Remote Sensing Images Based on YOLOv7-OT. Remote Sensing. 16(23). 4510–4510. 1 indexed citations
7.
Wang, Hao, Weibo Zhang, Lu Bai, & Peng Ren. (2024). Metalantis: A Comprehensive Underwater Image Enhancement Framework. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–19. 58 indexed citations breakdown →
8.
Ren, Peng, et al.. (2024). PKE-UIC: A Prior Knowledge-Enhanced Underwater Image Captioning Model. 69–75. 2 indexed citations
10.
Meng, Junmin, et al.. (2023). Dictionary Learning for Few-Shot Remote Sensing Scene Classification. Remote Sensing. 15(3). 773–773. 5 indexed citations
11.
Li, Yun, et al.. (2022). MODIS Green-Tide Detection With a Squeeze and Excitation Oriented Generative Adversarial Network. IEEE Access. 10. 60294–60305. 5 indexed citations
12.
Tao, Xuanwen, Mercedes E. Paoletti, Lirong Han, et al.. (2022). Fast Orthogonal Projection for Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 18 indexed citations
13.
Tao, Xuanwen, Mercedes E. Paoletti, Lirong Han, et al.. (2022). A New Deep Convolutional Network for Effective Hyperspectral Unmixing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 6999–7012. 26 indexed citations
14.
Wang, Hao, Shixin Sun, Xiaohui Wu, et al.. (2021). A YOLOv5 Baseline for Underwater Object Detection. OCEANS 2021: San Diego – Porto. 1–4. 23 indexed citations
15.
Wang, Xinning, Xuegong Wang, Miao Yu, et al.. (2021). MesoGRU: Deep Learning Framework for Mesoscale Eddy Trajectory Prediction. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 18 indexed citations
16.
Chen, Ziwei, et al.. (2021). Enhancement-Registration-Homogenization (ERH): A Comprehensive Underwater Visual Reconstruction Paradigm. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(10). 6953–6967. 46 indexed citations
17.
Han, Lirong, Peng Li, Antonio Plaza, & Peng Ren. (2021). Hashing for Localization (HfL): A Baseline for Fast Localizing Objects in a Large-Scale Scene. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 18 indexed citations
18.
Li, Gang, et al.. (2020). A Hardware Descriptive Approach to Beetle Antennae Search. IEEE Access. 8. 89059–89070. 11 indexed citations
19.
Wang, Chen, Xiao Bai, Shuai Wang, Jun Zhou, & Peng Ren. (2018). Multiscale Visual Attention Networks for Object Detection in VHR Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters. 16(2). 310–314. 157 indexed citations
20.
Li, Peng & Peng Ren. (2017). Partial Randomness Hashing for Large-Scale Remote Sensing Image Retrieval. IEEE Geoscience and Remote Sensing Letters. 14(3). 464–468. 65 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

Rankless by CCL
2026