Song–Hai Zhang

5.9k total citations · 2 hit papers
103 papers, 3.7k citations indexed

About

Song–Hai Zhang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Song–Hai Zhang has authored 103 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Computer Vision and Pattern Recognition, 28 papers in Computer Graphics and Computer-Aided Design and 25 papers in Computational Mechanics. Recurrent topics in Song–Hai Zhang's work include Advanced Vision and Imaging (41 papers), Computer Graphics and Visualization Techniques (28 papers) and 3D Shape Modeling and Analysis (23 papers). Song–Hai Zhang is often cited by papers focused on Advanced Vision and Imaging (41 papers), Computer Graphics and Visualization Techniques (28 papers) and 3D Shape Modeling and Analysis (23 papers). Song–Hai Zhang collaborates with scholars based in China, United Kingdom and New Zealand. Song–Hai Zhang's co-authors include Shi‐Min Hu, Ming‐Ming Cheng, Tai‐Jiang Mu, Tian-Xing Xu, Ralph R. Martin, Jiangjiang Liu, Meng-Hao Guo, Peng-Tao Jiang, Zheng-Ning Liu and Zhe Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Song–Hai Zhang

92 papers receiving 3.6k citations

Hit Papers

Attention mechanisms in c... 2016 2026 2019 2022 2022 2016 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Song–Hai Zhang 2.4k 626 528 321 283 103 3.7k
Ying Shan 4.0k 1.6× 542 0.9× 907 1.7× 466 1.5× 424 1.5× 232 5.7k
Nikhila Ravi 2.4k 1.0× 415 0.7× 982 1.9× 245 0.8× 343 1.2× 9 4.6k
Wan‐Yen Lo 2.0k 0.8× 442 0.7× 914 1.7× 148 0.5× 166 0.6× 7 4.1k
Jonathan Masci 1.9k 0.8× 372 0.6× 1.2k 2.3× 172 0.5× 549 1.9× 26 3.8k
Bryan Russell 4.1k 1.7× 543 0.9× 1.1k 2.1× 147 0.5× 251 0.9× 43 5.6k
Laura Gustafson 2.0k 0.8× 405 0.6× 927 1.8× 127 0.4× 163 0.6× 4 4.1k
Spencer Whitehead 2.0k 0.8× 406 0.6× 1.0k 1.9× 128 0.4× 165 0.6× 12 4.2k
Lizhuang Ma 3.5k 1.4× 709 1.1× 941 1.8× 350 1.1× 600 2.1× 321 4.9k
Xin Ning 2.1k 0.9× 375 0.6× 1.2k 2.4× 117 0.4× 266 0.9× 168 4.3k
Martin Jägersand 2.8k 1.2× 638 1.0× 611 1.2× 74 0.2× 107 0.4× 113 4.2k

Countries citing papers authored by Song–Hai Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Song–Hai Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song–Hai Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Song–Hai Zhang. A scholar is included among the top collaborators of Song–Hai Zhang 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 Song–Hai Zhang. Song–Hai Zhang 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.
He, Yu, et al.. (2025). Strategies for reducing motion sickness in virtual reality through improved handheld controller movements. Graphical Models. 138. 101254–101254. 3 indexed citations
2.
Zhang, Song–Hai, et al.. (2025). Look at that distractor: Dynamic translation gain under low perceptual load in virtual reality. Computers & Graphics. 133. 104466–104466.
3.
Zhang, Fang‐Lue, et al.. (2024). MAL: Motion-Aware Loss with Temporal and Distillation Hints for Self-Supervised Depth Estimation. 7318–7324. 1 indexed citations
4.
Guo, Yuan-Chen, et al.. (2024). PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 1609–1617. 3 indexed citations
5.
Fan, Cheng-Wei, et al.. (2024). Spatial Contraction Based on Velocity Variation for Natural Walking in Virtual Reality. IEEE Transactions on Visualization and Computer Graphics. 30(5). 2444–2453. 1 indexed citations
6.
Cao, Yan‐Pei, et al.. (2024). GP-Recon: Online Monocular Neural 3D Reconstruction With Geometric Prior. IEEE Transactions on Visualization and Computer Graphics. 31(9). 4790–4804.
7.
Liu, Jiahong, et al.. (2024). Overcoming Spatial Constraints in VR: A Survey of Redirected Walking Techniques. Journal of Computer Science and Technology. 39(4). 841–870. 2 indexed citations
8.
Guo, Yuan-Chen, Yan‐Pei Cao, Chen Wang, et al.. (2023). VMesh: Hybrid Volume-Mesh Representation for Efficient View Synthesis. 1–11. 9 indexed citations
9.
Liu, Jiahong, et al.. (2023). Automatic Generation of Commercial Scenes. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1137–1147. 5 indexed citations
10.
Fu, Hongbo, et al.. (2023). SceneDirector: Interactive Scene Synthesis by Simultaneously Editing Multiple Objects in Real-Time. IEEE Transactions on Visualization and Computer Graphics. 30(8). 4558–4569. 8 indexed citations
11.
Mu, Tai‐Jiang, et al.. (2022). SceneViewer: Automating Residential Photography in Virtual Environments. IEEE Transactions on Visualization and Computer Graphics. 29(12). 5523–5537. 2 indexed citations
12.
Huang, Haozhi, et al.. (2021). FaceShapeGene: A disentangled shape representation for flexible face image editing. SHILAP Revista de lepidopterología. 4. 200023–200023. 1 indexed citations
13.
Zhang, Song–Hai, et al.. (2021). ChoreoMaster. ACM Transactions on Graphics. 40(4). 1–13. 51 indexed citations
14.
Zhang, Song–Hai, et al.. (2021). Fast 3D Indoor Scene Synthesis by Learning Spatial Relation Priors of Objects. IEEE Transactions on Visualization and Computer Graphics. 28(9). 3082–3092. 24 indexed citations
15.
He, Yu, et al.. (2021). Context-Consistent Generation of Indoor Virtual Environments Based on Geometry Constraints. IEEE Transactions on Visualization and Computer Graphics. 28(12). 3986–3999. 7 indexed citations
16.
Zhang, Song–Hai, Chen Wang, Yizhuo Zhang, et al.. (2021). Velocity Guided Amplification of View Rotation for Seated VR Scene Exploration. 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). 504–505. 3 indexed citations
17.
Zhang, Song–Hai, et al.. (2021). Geometry-Based Layout Generation with Hyper-Relations AMONG Objects. Graphical Models. 116. 101104–101104. 17 indexed citations
18.
Xu, Fei, et al.. (2018). Knowledge graph construction with structure and parameter learning for indoor scene design. Computational Visual Media. 4(2). 123–137. 29 indexed citations
19.
Lu, Yifan, et al.. (2018). Traffic signal detection and classification in street views using an attention model. Computational Visual Media. 4(3). 253–266. 75 indexed citations
20.
Wang, Miao, Xijin Zhang, Junbang Liang, Song–Hai Zhang, & Ralph R. Martin. (2016). Comfort-driven disparity adjustment for stereoscopic video. Computational Visual Media. 2(1). 3–17. 17 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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