Zuobin Xiong
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Signal Processing top 10%
- Co-authors
- Zhipeng CaiWei LiHonghui XuYi PanPeng WangDaniel TakabiQilong HanArwa Alrawais
- Topics
- Adversarial Robustness in Machine Learning (7 papers)Privacy-Preserving Technologies in Data (7 papers)Privacy, Security, and Data Protection (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaACM Computing SurveysIEEE Transactions on Vehicular Technology
- Partner nations
- United StatesChinaPalestinian Territory
In The Last Decade
Zuobin Xiong
19 papers receiving 589 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 395
- Computer Vision and Pattern Recognition 137
- Computer Networks and Communications 120
- Information Systems 80
- Signal Processing 78
Countries citing papers authored by Zuobin Xiong
This map shows the geographic impact of Zuobin Xiong'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 Zuobin Xiong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zuobin Xiong more than expected).
Fields of papers citing papers by Zuobin Xiong
This network shows the impact of papers produced by Zuobin Xiong. 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 Zuobin Xiong. The network helps show where Zuobin Xiong may publish in the future.
Co-authorship network of co-authors of Zuobin Xiong
This figure shows the co-authorship network connecting the top 25 collaborators of Zuobin Xiong. A scholar is included among the top collaborators of Zuobin Xiong 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 Zuobin Xiong. Zuobin Xiong 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 | 23 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 125 | |
| 14 | 6 | |
| 15 | Generative Adversarial Networksbreakdown → | 226 |
| 16 | 1 | |
| 17 | 59 | |
| 18 | 9 | |
| 19 | 43 | |
| 20 | 49 |
About Zuobin Xiong
Zuobin Xiong is a scholar working on Artificial Intelligence, Hardware and Architecture and Signal Processing, having authored 21 papers that have together received 599 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (7 papers), Privacy-Preserving Technologies in Data (7 papers) and Privacy, Security, and Data Protection (3 papers). The work is most often cited by research in Artificial Intelligence (395 citations), Health Informatics (13 citations) and Computer Science Applications (47 citations). Zuobin Xiong has collaborated with scholars based in United States, China and Palestinian Territory. Frequent co-authors include Zhipeng Cai, Wei Li, Honghui Xu, Yi Pan, Peng Wang, Daniel Takabi, Qilong Han, Wei Li, Arwa Alrawais and Wei Li. Their work appears in journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and IEEE Transactions on Vehicular Technology.
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.