Dan Song

2.1k total citations · 1 hit paper
95 papers, 1.2k citations indexed

About

Dan Song is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Dan Song has authored 95 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 29 papers in Computational Mechanics and 29 papers in Artificial Intelligence. Recurrent topics in Dan Song's work include 3D Shape Modeling and Analysis (29 papers), Advanced Image and Video Retrieval Techniques (22 papers) and Human Pose and Action Recognition (20 papers). Dan Song is often cited by papers focused on 3D Shape Modeling and Analysis (29 papers), Advanced Image and Video Retrieval Techniques (22 papers) and Human Pose and Action Recognition (20 papers). Dan Song collaborates with scholars based in China, Sweden and Australia. Dan Song's co-authors include Ruofeng Tong, Min Tang, Chengyang Li, Danica Kragić, An-An Liu, Weizhi Nie, Wenhui Li, Kai Huebner, Carl Henrik Ek and Ville Kyrki and has published in prestigious journals such as Scientific Reports, Applied Energy and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Dan Song

85 papers receiving 1.2k citations

Hit Papers

Illumination-aware faster R-CNN for robust multispectral ... 2018 2026 2020 2023 2018 100 200 300
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. Illumination-aware faster R-CNN for robust multispectral pedestrian detection
    2018 322 citations Dan Song, Ruofeng Tong et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Song China 19 721 267 249 210 189 95 1.2k
Jianhui Zhao China 13 566 0.8× 135 0.5× 111 0.4× 188 0.9× 183 1.0× 52 999
Shohei Nobuhara Japan 15 964 1.3× 200 0.7× 127 0.5× 181 0.9× 165 0.9× 64 1.3k
Xinyu Zhang China 25 1.0k 1.4× 243 0.9× 160 0.6× 83 0.4× 431 2.3× 120 1.9k
Ran Song China 20 524 0.7× 160 0.6× 79 0.3× 178 0.8× 117 0.6× 117 1.4k
Hyung Jin Chang United Kingdom 21 1.4k 1.9× 341 1.3× 575 2.3× 69 0.3× 285 1.5× 79 1.9k
Sehoon Ha United States 17 510 0.7× 253 0.9× 494 2.0× 147 0.7× 122 0.6× 62 1.3k
Nick Pears United Kingdom 21 1.0k 1.4× 99 0.4× 65 0.3× 173 0.8× 189 1.0× 68 1.3k
Yu-Wei Chao United States 15 997 1.4× 319 1.2× 391 1.6× 95 0.5× 155 0.8× 29 1.3k
Jiang Yu Zheng United States 19 972 1.3× 118 0.4× 100 0.4× 66 0.3× 183 1.0× 117 1.3k
Kui Yuan China 18 698 1.0× 139 0.5× 188 0.8× 115 0.5× 403 2.1× 134 1.6k

Countries citing papers authored by Dan Song

Since Specialization
Citations

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

Fields of papers citing papers by Dan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Song. A scholar is included among the top collaborators of Dan 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 Dan Song. Dan Song 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.
Su, Wei, et al.. (2025). Design and testing of a crawler robot based on mid-axis row guidance in a shade house. Smart Agricultural Technology. 12. 101302–101302.
2.
Song, Dan, et al.. (2025). Prior information assisted multi-scale network for precipitation nowcasting. Computers & Geosciences. 196. 105851–105851.
3.
Song, Dan, et al.. (2025). Exploring AI-assistance in L2 Chinese writing with standardized assessment tasks. Language learning & technology. 29(2). 161–189. 1 indexed citations
4.
Song, Dan, et al.. (2024). Generating counterfactual negative samples for image-text matching. Information Processing & Management. 62(3). 103990–103990.
5.
Chang, Jie, et al.. (2024). Water-energy-food nexus in the sustainable management of crop-livestock coupled systems. Applied Energy. 378. 124824–124824. 2 indexed citations
6.
Liu, An-An, Wenhui Li, Dan Song, et al.. (2024). Text-Guided Knowledge Transfer for Remote Sensing Image-Text Retrieval. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 11 indexed citations
7.
Liu, An-An, et al.. (2024). Multi-Task Spatial-Temporal Transformer for Multi-Variable Meteorological Forecasting. IEEE Transactions on Knowledge and Data Engineering. 36(12). 8876–8888. 3 indexed citations
8.
Song, Dan, et al.. (2024). Cross-Modal Contrastive Learning with a Style-Mixed Bridge for Single Image 3D Shape Retrieval. ACM Transactions on Multimedia Computing Communications and Applications. 20(12). 1–24. 1 indexed citations
9.
Li, Wenhui, et al.. (2024). Hierarchical Transformer With Lightweight Attention for Radar-Based Precipitation Nowcasting. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 2 indexed citations
10.
Song, Dan, et al.. (2023). Structured serialization semantic transfer network for unsupervised cross-domain recognition and retrieval. Information Processing & Management. 61(1). 103565–103565. 5 indexed citations
11.
Song, Dan, et al.. (2023). Fashion Customization: Image Generation Based on Editing Clue. IEEE Transactions on Circuits and Systems for Video Technology. 34(6). 4434–4444. 7 indexed citations
12.
Nie, Weizhi, et al.. (2023). Temporal-Spatial Correlation Attention Network for Clinical Data Analysis in Intensive Care Unit. IEEE Transactions on Biomedical Engineering. 71(2). 583–595. 5 indexed citations
13.
Liu, An-An, et al.. (2023). Focus on Hard Samples: Hierarchical Unbiased Constraints for Cross-Domain 3D Model Retrieval. IEEE Transactions on Circuits and Systems for Video Technology. 33(11). 7036–7049. 5 indexed citations
14.
Song, Dan, et al.. (2023). Domain-specific modeling and semantic alignment for image-based 3D model retrieval. Computers & Graphics. 115. 25–34. 1 indexed citations
15.
Nie, Weizhi, et al.. (2021). DAN: Deep-Attention Network for 3D Shape Recognition. IEEE Transactions on Image Processing. 30. 4371–4383. 44 indexed citations
16.
Su, Yuting, Yuqian Li, Dan Song, An-An Liu, & Jie Nie. (2020). Joint Intermediate Domain Generation and Distribution Alignment for 2D Image-Based 3D Objects Retrieval. IEEE Transactions on Multimedia. 23. 2127–2138. 14 indexed citations
17.
Su, Yuting, Wenhui Li, Weizhi Nie, Dan Song, & An-An Liu. (2019). Unsupervised Feature Learning With Graph Embedding for View-Based 3D Model Retrieval. IEEE Access. 7. 95285–95296. 4 indexed citations
18.
Song, Dan, Ruofeng Tong, Jiang Du, Yun Zhang, & Yao Jin. (2018). Data-Driven 3-D Human Body Customization With a Mobile Device. IEEE Access. 6. 27939–27948. 10 indexed citations
19.
Pokorny, Florian T., et al.. (2013). Topological Synergies for Grasp Transfer. International Conference on Robotics and Automation. 1 indexed citations
20.
Song, Dan, et al.. (2004). Object Motion Analysis and Interpretation in Video. 한국정보과학회 학술발표논문집. 31. 694–696.

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 Jianhui Zhao Breakdown of academic impact, for papers by Shohei Nobuhara Breakdown of academic impact, for papers by Xinyu Zhang Breakdown of academic impact, for papers by Ran Song Breakdown of academic impact, for papers by Hyung Jin Chang Breakdown of academic impact, for papers by Sehoon Ha Breakdown of academic impact, for papers by Nick Pears Breakdown of academic impact, for papers by Yu-Wei Chao Breakdown of academic impact, for papers by Jiang Yu Zheng Breakdown of academic impact, for papers by Kui Yuan
Rankless by CCL
2026