Zikai Song

554 total citations · 2 hit papers
21 papers, 304 citations indexed

About

Zikai Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Zikai Song has authored 21 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Zikai Song's work include Video Analysis and Summarization (5 papers), Video Surveillance and Tracking Methods (4 papers) and Human Pose and Action Recognition (4 papers). Zikai Song is often cited by papers focused on Video Analysis and Summarization (5 papers), Video Surveillance and Tracking Methods (4 papers) and Human Pose and Action Recognition (4 papers). Zikai Song collaborates with scholars based in China, Australia and Germany. Zikai Song's co-authors include Junqing Yu, Yi‐Ping Phoebe Chen, Wei Yang, Wei Yang, Wei Sun, Tingting Wang, Tao Guan, Bin Hu, Kai Zheng and Björn W. Schuller and has published in prestigious journals such as Nano-Micro Letters, Multimedia Tools and Applications and IEEE Multimedia.

In The Last Decade

Zikai Song

15 papers receiving 299 citations

Hit Papers

Transformer Tracking with Cyclic Shifting Window Attention 2022 2026 2023 2024 2022 2025 40 80 120
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. Transformer Tracking with Cyclic Shifting Window Attention
    2022 134 citations Zikai Song, Junqing Yu et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
  2. Machine Learning Enabled Reusable Adhesion, Entangled Network-Based Hydrogel for Long-Term, High-Fidelity EEG Recording and Attention Assessment
    2025 19 citations Kai Zheng, Su‐Jane Wang et al. Nano-Micro Letters profile →

Peers

Zikai Song
Shakhnoza Muksimova South Korea
Pavan Kumar Anasosalu Vasu United States
Jing Nie China
Yuxiao Zhang Japan
Alper Ayvacı United States
Junfei Zhuang China
Matthieu Paul Switzerland
S.J. Krotosky United States
C S Asha India
Shakhnoza Muksimova South Korea
Zikai Song
Citations per year, relative to Zikai Song Zikai Song (= 1×) peers Shakhnoza Muksimova

Countries citing papers authored by Zikai Song

Since Specialization
Citations

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

Fields of papers citing papers by Zikai Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zikai Song

This figure shows the co-authorship network connecting the top 25 collaborators of Zikai Song. A scholar is included among the top collaborators of Zikai 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 Zikai Song. Zikai 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.
Guan, Tao, et al.. (2025). EfficientGS: Streamlining Gaussian Splatting for Large-Scale High-Resolution Scene Representation. IEEE Multimedia. 32(1). 61–71. 1 indexed citations
2.
Zhang, Youjia, et al.. (2025). Ref-GS: Directional Factorization for 2D Gaussian Splatting. 26483–26492.
3.
Zheng, Kai, Su‐Jane Wang, Zikai Song, et al.. (2025). Machine Learning Enabled Reusable Adhesion, Entangled Network-Based Hydrogel for Long-Term, High-Fidelity EEG Recording and Attention Assessment. Nano-Micro Letters. 17(1). 281–281. 19 indexed citations breakdown →
4.
Zhou, Hang, et al.. (2025). Video Anomaly Detection with Motion and Appearance Guided Patch Diffusion Model. Proceedings of the AAAI Conference on Artificial Intelligence. 39(10). 10761–10769. 1 indexed citations
5.
Song, Zikai, et al.. (2025). GA-S3: Comprehensive Social Network Simulation with Group Agents. 8950–8970.
6.
Song, Zikai, et al.. (2025). Temporal Coherent Object Flow for Multi-Object Tracking. Proceedings of the AAAI Conference on Artificial Intelligence. 39(7). 6978–6986.
7.
8.
Jing, Beibei, Youjia Zhang, Zikai Song, Junqing Yu, & Wei Yang. (2024). AMD: Anatomical Motion Diffusion with Interpretable Motion Decomposition and Fusion. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2643–2651. 1 indexed citations
9.
Song, Zikai, Zeyu Chen, Ye Zhang, et al.. (2024). Study Selectively: An Adaptive Knowledge Distillation based on a Voting Network for Heart Sound Classification. 137–141. 6 indexed citations
10.
Song, Zikai, et al.. (2024). Autogenic Language Embedding for Coherent Point Tracking. 2021–2030.
11.
Song, Zikai, et al.. (2024). DiffusionTrack: Diffusion Model for Multi-Object Tracking. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 3991–3999. 19 indexed citations
12.
Ji, Jiahao, Kun Qian, Kele Xu, et al.. (2024). Weight Light, Hear Right: Heart Sound Classification with a Low-Complexity Model. 326–330. 6 indexed citations
13.
Song, Zikai, et al.. (2024). Coupled Mamba: Enhanced Multimodal Fusion with Coupled State Space Model. 59808–59832. 4 indexed citations
14.
Song, Zikai, et al.. (2023). Compact Transformer Tracker with Correlative Masked Modeling. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 2321–2329. 46 indexed citations
15.
Song, Zikai, et al.. (2022). An end‐to‐end steel surface defect detection approach via Swin transformer. IET Image Processing. 17(5). 1334–1345. 19 indexed citations
16.
Song, Zikai, Junqing Yu, Yi‐Ping Phoebe Chen, & Wei Yang. (2022). Transformer Tracking with Cyclic Shifting Window Attention. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8781–8790. 134 indexed citations breakdown →
17.
Song, Zikai, et al.. (2021). Players-aware tracking algorithm in soccer video. Journal of Image and Graphics. 26(7). 1668–1680.
18.
Song, Zikai, et al.. (2021). Distractor-Aware Tracker with a Domain-Special Optimized Benchmark for Soccer Player Tracking. 276–284. 5 indexed citations
19.
Song, Zikai, et al.. (2020). SSET: a dataset for shot segmentation, event detection, player tracking in soccer videos. Multimedia Tools and Applications. 79(39-40). 28971–28992. 17 indexed citations
20.
Yu, Junqing, et al.. (2018). Comprehensive Dataset of Broadcast Soccer Videos. 418–423. 24 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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