Pinhao Song

1.2k total citations · 2 hit papers
14 papers, 666 citations indexed

About

Pinhao Song is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, Pinhao Song has authored 14 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 4 papers in Ocean Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Pinhao Song's work include Advanced Neural Network Applications (9 papers), Image Enhancement Techniques (5 papers) and Underwater Vehicles and Communication Systems (4 papers). Pinhao Song is often cited by papers focused on Advanced Neural Network Applications (9 papers), Image Enhancement Techniques (5 papers) and Underwater Vehicles and Communication Systems (4 papers). Pinhao Song collaborates with scholars based in China, Belgium and Switzerland. Pinhao Song's co-authors include Hong Liu, Linhui Dai, Hao Tang, Runwei Ding, Tao Wang, Zhan Chen, Zhiwei Wu, Wei Shi, Tao Wang and Tianyu Guo and has published in prestigious journals such as Pattern Recognition, Neurocomputing and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Pinhao Song

14 papers receiving 648 citations

Hit Papers

Boosting R-CNN: Reweighti... 2022 2026 2023 2024 2023 2022 50 100 150
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. Boosting R-CNN: Reweighting R-CNN samples by RPN’s error for underwater object detection
    2023 155 citations Pinhao Song, Linhui Dai et al. Neurocomputing profile →
  2. AO2-DETR: Arbitrary-Oriented Object Detection Transformer
    2022 141 citations Hong Liu, Hao Tang et al. IEEE Transactions on Circuits and Systems for Video Technology profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pinhao Song 506 125 108 88 87 14 666
Wenjing Wu 335 0.7× 206 1.6× 18 0.2× 28 0.3× 53 0.6× 13 510
Haitao Zhu 146 0.3× 180 1.4× 79 0.7× 46 0.5× 17 0.2× 53 467
Linhui Dai 383 0.8× 49 0.4× 47 0.4× 42 0.5× 67 0.8× 8 559
Yogesh Girdhar 222 0.4× 203 1.6× 123 1.1× 77 0.9× 19 0.2× 42 567
Fausto Ferreira 202 0.4× 390 3.1× 54 0.5× 84 1.0× 16 0.2× 70 625
M. Marra 264 0.5× 49 0.4× 48 0.4× 84 1.0× 20 0.2× 11 471
Minsung Sung 157 0.3× 124 1.0× 101 0.9× 92 1.0× 14 0.2× 27 339
Yiquan Wu 504 1.0× 46 0.4× 11 0.1× 20 0.2× 167 1.9× 51 697
Hugo Silva 105 0.2× 112 0.9× 57 0.5× 23 0.3× 47 0.5× 38 326

Countries citing papers authored by Pinhao Song

Since Specialization
Citations

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

Fields of papers citing papers by Pinhao Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pinhao Song

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

All Works

14 of 14 papers shown
1.
Song, Pinhao, et al.. (2024). Robot Trajectron: Trajectory Prediction-based Shared Control for Robot Manipulation. Lirias (KU Leuven). 5585–5591. 4 indexed citations
2.
Liu, Hong, et al.. (2024). Edge‐guided representation learning for underwater object detection. CAAI Transactions on Intelligence Technology. 9(5). 1078–1091. 23 indexed citations
3.
Kong, Bin, et al.. (2023). Underwater image clarifying based on human visual colour constancy using double‐opponency. CAAI Transactions on Intelligence Technology. 9(3). 632–648. 1 indexed citations
4.
Liu, Hong, et al.. (2023). Neural ordinary differential equation for irregular human motion prediction. Pattern Recognition Letters. 178. 76–83. 2 indexed citations
5.
He, Ying, et al.. (2023). IGG: Improved Graph Generation for Domain Adaptive Object Detection. Lirias (KU Leuven). 1314–1324. 7 indexed citations
6.
Chen, Yang, Pinhao Song, Hong Liu, et al.. (2023). Achieving domain generalization for underwater object detection by domain mixup and contrastive learning. Neurocomputing. 528. 20–34. 39 indexed citations
7.
Liu, Hong, et al.. (2023). A gated cross-domain collaborative network for underwater object detection. Pattern Recognition. 149. 110222–110222. 51 indexed citations
8.
Song, Pinhao, et al.. (2023). Boosting R-CNN: Reweighting R-CNN samples by RPN’s error for underwater object detection. Neurocomputing. 530. 150–164. 155 indexed citations breakdown →
9.
He, Ying, et al.. (2023). Bagging R-CNN: Ensemble for Object Detection in Complex Traffic Scenes. Lirias (KU Leuven). 1–5. 4 indexed citations
10.
Chen, Yang, et al.. (2022). Achieving Domain Generalization for Underwater Object Detection by Domain Mixup and Contrastive Learning. SSRN Electronic Journal. 4 indexed citations
11.
Liu, Hong, et al.. (2022). AO2-DETR: Arbitrary-Oriented Object Detection Transformer. IEEE Transactions on Circuits and Systems for Video Technology. 33(5). 2342–2356. 141 indexed citations breakdown →
12.
Song, Pinhao, et al.. (2022). Excavating RoI Attention for Underwater Object Detection. 2022 IEEE International Conference on Image Processing (ICIP). 2651–2655. 36 indexed citations
13.
Wang, Tao, et al.. (2022). Pose-Guided Feature Disentangling for Occluded Person Re-identification Based on Transformer. Proceedings of the AAAI Conference on Artificial Intelligence. 36(3). 2540–2549. 130 indexed citations
14.
Liu, Hong, Pinhao Song, & Runwei Ding. (2020). Towards Domain Generalization In Underwater Object Detection. 1971–1975. 69 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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