Shikun Zhang
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Sociology and Political Science
- Co-authors
- Wei YeNorman SadehXiangyu XiYu HuangJinglei ZhangLong ChenYuvraj AgarwalMads Schaarup Andersen
- Topics
- Topic Modeling (25 papers)Natural Language Processing Techniques (20 papers)Domain Adaptation and Few-Shot Learning (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Automatic ControlIEEE Transactions on Image Processing
- Partner nations
- ChinaUnited StatesCayman Islands
In The Last Decade
Shikun Zhang
86 papers receiving 793 citations
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 409
- Information Systems 224
- Computer Vision and Pattern Recognition 140
- Computer Networks and Communications 111
- Sociology and Political Science 97
Countries citing papers authored by Shikun Zhang
This map shows the geographic impact of Shikun 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 Shikun Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shikun Zhang more than expected).
Fields of papers citing papers by Shikun Zhang
This network shows the impact of papers produced by Shikun 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 Shikun Zhang. The network helps show where Shikun Zhang may publish in the future.
Co-authorship network of co-authors of Shikun Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Shikun Zhang. A scholar is included among the top collaborators of Shikun 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 Shikun Zhang. Shikun 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 13 | |
| 11 | 7 | |
| 12 | 6 | |
| 13 | 6 | |
| 14 | Facial Recognition: Understanding Privacy Concerns and Attitudes Across Increasingly Diverse Deployment Scenarios. | 4 |
| 15 | 8 | |
| 16 | 42 | |
| 17 | 46 | |
| 18 | A Dynamic Boosted Ensemble Learning Based on Random Forest | 1 |
| 19 | A Data Collaboration Model for Collaborative Design Based on C-Net. | 0 |
| 20 | 1 |
About Shikun Zhang
Shikun Zhang is a scholar working on Software, Artificial Intelligence and Information Systems, having authored 98 papers that have together received 826 indexed citations. Recurring topics across this work include Topic Modeling (25 papers), Natural Language Processing Techniques (20 papers) and Domain Adaptation and Few-Shot Learning (12 papers). The work is most often cited by research in Software (60 citations), Artificial Intelligence (409 citations) and Information Systems (224 citations). Shikun Zhang has collaborated with scholars based in China, United States and Cayman Islands. Frequent co-authors include Wei Ye, Norman Sadeh, Xiangyu Xi, Yu Huang, Jinglei Zhang, Long Chen, Yuvraj Agarwal, Mads Schaarup Andersen, Lifu Wang and Lorrie Faith Cranor. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and IEEE Transactions on Image Processing.
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.