Ying Shan

12.1k citations
232 papers · 5.7k indexed · 11 hit papers · h-index 37

Impact in

Papers in

Ying Shan

209 papers receiving 5.5k citations

Hit Papers

VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models 2024 · 46 citations
462016202620192022250500750

Peers

Ying Shan
Comparison fields: 5 of 184
  • Computer Vision and Pattern Recognition 4.0k
  • Computer Graphics and Computer-Aided Design 466
  • Media Technology 542
  • Human-Computer Interaction 196
  • Signal Processing 305
Replace Rynson W. H. Lau with:
Rynson W. H. Lau Hong Kong
Song–Hai Zhang China
Mingli Song China
Xiaohui Shen United States
Ge Li China
Xiaodan Liang China
Xin Ning China
Xiaonan Luo China
Jonathan Masci Switzerland
Shenghua Gao China
Ying Shan relative to Rynson W. H. Lau Hong Kong Rynson W. H. Lau's profile →
Citations per field
00.5×4.3×
Rynson W. H. Lau · 1×
Citations per year

Countries citing papers authored by Ying Shan

Since Specialization
Citations

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

Fields of papers citing papers by Ying Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ying Shan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ying Shan Line = papers co-authored together Ying Shan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20251
4 20251
5 20244
6 20241
7 20241
8 20241
9 20242
10 20241
11 20242
12 20240
13 20238
14 202316
15 20239
16 202314
17 202318
18 20221
19 202278
20 20223

About Ying Shan

Ying Shan is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Signal Processing, Artificial Intelligence and Computational Mechanics, having authored 232 papers that have together received 5.7k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (47 papers), Advanced Image and Video Retrieval Techniques (31 papers), Multimodal Machine Learning Applications (30 papers), Human Pose and Action Recognition (28 papers), Generative Adversarial Networks and Image Synthesis (27 papers), Video Analysis and Summarization (24 papers), Computer Graphics and Visualization Techniques (24 papers) and 3D Shape Modeling and Analysis (21 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.0k citations), Computer Graphics and Computer-Aided Design (466 citations), Media Technology (542 citations), Human-Computer Interaction (196 citations) and Signal Processing (305 citations). Ying Shan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xintao Wang, Liangbin Xie, Chao Dong, Zhengyou Zhang, Yixiao Ge, Zicheng Liu, Zhongang Qi, Xiaohu Qie, Yu Li and Harpreet Sawhney. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Circuits and Systems for Video Technology, International Journal of Computer Vision, ACM Transactions on Graphics and IEEE Transactions on Visualization and Computer Graphics.

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