Quanshi Zhang
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 2%
- Transportation top 2%
- Building and Construction top 5%
- Signal Processing top 5%
- Co-authors
- Song‐Chun ZhuYing WuRyosuke ShibasakiXuan SongYoshihide SekimotoHaotian MaYu YangRuiming Cao
- Topics
- Advanced Neural Network Applications (12 papers)Advanced Image and Video Retrieval Techniques (11 papers)Adversarial Robustness in Machine Learning (9 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePLoS Computational BiologyMedical Physics
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Quanshi Zhang
55 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Artificial Intelligence 915
- Computer Vision and Pattern Recognition 549
- Transportation 246
- Building and Construction 132
- Signal Processing 125
Countries citing papers authored by Quanshi Zhang
This map shows the geographic impact of Quanshi 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 Quanshi Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quanshi Zhang more than expected).
Fields of papers citing papers by Quanshi Zhang
This network shows the impact of papers produced by Quanshi 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 Quanshi Zhang. The network helps show where Quanshi Zhang may publish in the future.
Co-authorship network of co-authors of Quanshi Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Quanshi Zhang. A scholar is included among the top collaborators of Quanshi 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 Quanshi Zhang. Quanshi Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 35 | |
| 9 | 5 | |
| 10 | Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness | 4 |
| 11 | 7 | |
| 12 | 14 | |
| 13 | 26 | |
| 14 | Interpreting Multivariate Interactions in DNNs | 1 |
| 15 | Towards a Deep and Unified Understanding of Deep Neural Models in NLP | 43 |
| 16 | 38 | |
| 17 | 54 | |
| 18 | 3 | |
| 19 | 7 | |
| 20 | 7 |
About Quanshi Zhang
Quanshi Zhang is a scholar working on Computer Vision and Pattern Recognition, Transportation and Artificial Intelligence, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (12 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Adversarial Robustness in Machine Learning (9 papers). The work is most often cited by research in Health Informatics (64 citations), Transportation (246 citations) and Artificial Intelligence (915 citations). Quanshi Zhang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Song‐Chun Zhu, Ying Wu, Ryosuke Shibasaki, Xuan Song, Yoshihide Sekimoto, Haotian Ma, Yu Yang, Ruiming Cao, Feng Shi and Huijing Zhao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, PLoS Computational Biology and Medical Physics.
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.