Weikai Chen
Impact in
-
- Computer Graphics and Visualization Techniques
-
- Advanced Vision and Imaging
- Generative Adversarial Networks and Image Synthesis
- Face recognition and analysis
- Human Pose and Action Recognition
Papers in
-
- Computer Graphics and Visualization Techniques 12
-
- Advanced Vision and Imaging 10
- Generative Adversarial Networks and Image Synthesis 4
- Face recognition and analysis 3
Weikai Chen
32 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Computer Graphics and Computer-Aided Design 376
- Computer Vision and Pattern Recognition 740
- Computational Mechanics 583
- Geology 88
- Molecular Medicine 57
Countries citing papers authored by Weikai Chen
This map shows the geographic impact of Weikai Chen'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 Weikai Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weikai Chen more than expected).
Fields of papers citing papers by Weikai Chen
This network shows the impact of papers produced by Weikai Chen. 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 Weikai Chen. The network helps show where Weikai Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weikai Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | A Factor‐Free Hydrogel with ROS Scavenging and Responsive Degradation for Enhanced Diabetic Bone Healing Hit paper breakdown → | 2024 | 69 |
| 4 | 2024 | 22 | |
| 5 | 2024 | 18 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 82 | |
| 8 | Bone/cartilage targeted hydrogel: Strategies and applications Hit paper breakdown → | 2022 | 136 |
| 9 | 2022 | 28 | |
| 10 | 2021 | 29 | |
| 11 | 2021 | 40 | |
| 12 | 2020 | 18 | |
| 13 | 2019 | 17 | |
| 14 | 2019 | 33 | |
| 15 | 2019 | 121 | |
| 16 | Single-View Hair Reconstruction using Convolutional Neural Networks | 2018 | 2 |
| 17 | 2018 | 40 | |
| 18 | 2018 | 89 | |
| 19 | 2017 | 7 | |
| 20 | 2012 | 34 |
About Weikai Chen
Weikai Chen is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Molecular Medicine and Biomaterials, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (16 papers), Computer Graphics and Visualization Techniques (12 papers), Advanced Vision and Imaging (10 papers), Bone Tissue Engineering Materials (6 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Face recognition and analysis (3 papers), Hydrogels: synthesis, properties, applications (3 papers) and Graphene and Nanomaterials Applications (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (376 citations), Computer Vision and Pattern Recognition (740 citations), Computational Mechanics (583 citations), Geology (88 citations) and Molecular Medicine (57 citations). Weikai Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hao Li, Tianye Li, Shichen Liu, Jiacan Su, Shunsuke Saito, Qin Zhang, Shunli Wu, Shigeo Morishima, Xiaoguang Han and Yan Hu. Their work appears in journals such as Materials & Design, Journal of Materials Chemistry B, Frontiers in Bioengineering and Biotechnology, Frontiers in Psychology and Bioactive Materials.
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.