Ce Zhang
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Management Science and Operations Research top 5%
- Topics
- Machine Learning and Data Classification (8 papers)Domain Adaptation and Few-Shot Learning (8 papers)Multimodal Machine Learning Applications (6 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Ce Zhang
34 papers receiving 669 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 441
- Information Systems 184
- Computer Vision and Pattern Recognition 131
- Computer Networks and Communications 123
- Management Science and Operations Research 98
Countries citing papers authored by Ce Zhang
This map shows the geographic impact of Ce 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 Ce Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ce Zhang more than expected).
Fields of papers citing papers by Ce Zhang
This network shows the impact of papers produced by Ce 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 Ce Zhang. The network helps show where Ce Zhang may publish in the future.
Co-authorship network of co-authors of Ce Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Ce Zhang. A scholar is included among the top collaborators of Ce 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 Ce Zhang. Ce 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 | 6 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 6 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 86 | |
| 12 | 7 | |
| 13 | 38 | |
| 14 | Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript | 15 |
| 15 | 1 | |
| 16 | Decentralization Meets Quantization. | 5 |
| 17 | 33 | |
| 18 | Building a Large-scale Multimodal Knowledge Base for Visual Question Answering. | 12 |
| 19 | 57 | |
| 20 | 20 |
About Ce Zhang
Ce Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Software, having authored 35 papers that have together received 690 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (8 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Multimodal Machine Learning Applications (6 papers). The work is most often cited by research in Artificial Intelligence (441 citations), Information Systems (184 citations) and Management Science and Operations Research (98 citations). Ce Zhang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Christopher Ré, Jaeho Shin, Sen Wu, Christopher De, Feiran Wang, Cheng Xu, Jianliang Xu, Jian Pei, Jude Shavlik and Feng Niu. Their work appears in journals such as PLoS ONE, Environmental Science and Pollution Research and Neurocomputing.
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.