Hanwang Zhang
- Computer Vision and Pattern Recognition top 0.05%
- Artificial Intelligence top 0.05%
- Information Systems top 0.2%
- Media Technology top 1%
- Computer Networks and Communications top 5%
- Topics
- Multimodal Machine Learning Applications (80 papers)Domain Adaptation and Few-Shot Learning (59 papers)Advanced Image and Video Retrieval Techniques (57 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceThe Journal of Clinical Endocrinology & MetabolismScientific Reports
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Hanwang Zhang
193 papers receiving 11.6k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Computer Vision and Pattern Recognition 7.9k
- Artificial Intelligence 5.9k
- Information Systems 1.7k
- Media Technology 434
- Computer Networks and Communications 413
Countries citing papers authored by Hanwang Zhang
This map shows the geographic impact of Hanwang 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 Hanwang Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanwang Zhang more than expected).
Fields of papers citing papers by Hanwang Zhang
This network shows the impact of papers produced by Hanwang 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 Hanwang Zhang. The network helps show where Hanwang Zhang may publish in the future.
Co-authorship network of co-authors of Hanwang Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Hanwang Zhang. A scholar is included among the top collaborators of Hanwang 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 Hanwang Zhang. Hanwang 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 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 133 | |
| 9 | 23 | |
| 10 | Unbiased Scene Graph Generation From Biased Trainingbreakdown → | 429 |
| 11 | 149 | |
| 12 | Interventional few-shot learning | 19 |
| 13 | 91 | |
| 14 | 57 | |
| 15 | 36 | |
| 16 | 84 | |
| 17 | Making History Matter: Gold-Critic Sequence Training for Visual Dialog. | 5 |
| 18 | Auto-Encoding Graphical Inductive Bias for Descriptive Image Captioning | 1 |
| 19 | Scene Dynamics: Counterfactual Critic Multi-Agent Training for Scene Graph Generation. | 7 |
| 20 | 11 |
About Hanwang Zhang
Hanwang Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Reproductive Medicine, having authored 204 papers that have together received 11.8k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (80 papers), Domain Adaptation and Few-Shot Learning (59 papers) and Advanced Image and Video Retrieval Techniques (57 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (7.9k citations), Artificial Intelligence (5.9k citations) and Information Systems (1.7k citations). Hanwang Zhang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Tat‐Seng Chua, Xiangnan He, Wei Liu, Jun Xiao, Kaihua Tang, Liqiang Nie, Long Chen, Yulei Niu, Xu Yang and Jianfei Cai. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.
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.