Biye Jiang
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
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- Data Visualization and Analytics
- Video Analysis and Summarization
Papers in
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- Data Visualization and Analytics 2
- Generative Adversarial Networks and Image Synthesis 2
- Image Enhancement Techniques 1
- Advanced Vision and Imaging 1
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- Imbalanced Data Classification Techniques 1
- Topic Modeling 1
- Co-authors
- Jeffrey Heer (1 shared paper)Zhicheng Liu (1 shared paper)Shi‐Min Hu (2 shared papers)John Canny (2 shared papers)Kun Xu (2 shared papers)Liqian Ma (2 shared papers)Tien-Tsin Wong (1 shared paper)Xiang-Rong Sheng (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (1 paper)ACM Transactions on Graphics (1 paper)Computer Graphics Forum (1 paper)Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (1 paper)Proceedings of the 31st ACM International Conference on Information & Knowledge Management (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Biye Jiang
8 papers receiving 329 citations
Peers
Comparison fields: 5 of 60
- Signal Processing 125
- Computer Vision and Pattern Recognition 232
- Computer Graphics and Computer-Aided Design 26
- Information Systems and Management 34
- Computer Networks and Communications 79
Countries citing papers authored by Biye Jiang
This map shows the geographic impact of Biye Jiang'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 Biye Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biye Jiang more than expected).
Fields of papers citing papers by Biye Jiang
This network shows the impact of papers produced by Biye Jiang. 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 Biye Jiang. The network helps show where Biye Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Biye Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 219 | |
| 2 | 2019 | 34 | |
| 3 | 2013 | 26 | |
| 4 | 2022 | 25 | |
| 5 | 2013 | 17 | |
| 6 | 2015 | 14 | |
| 7 | 2017 | 8 | |
| 8 | 2022 | 1 |
About Biye Jiang
Biye Jiang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Information Systems and Management and Signal Processing, having authored 8 papers that have together received 344 indexed citations. Recurring topics across this work include Data Visualization and Analytics (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Imbalanced Data Classification Techniques (1 paper), Web Data Mining and Analysis (1 paper), Image Enhancement Techniques (1 paper), Advanced Vision and Imaging (1 paper), Traffic Prediction and Management Techniques (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Signal Processing (125 citations), Computer Vision and Pattern Recognition (232 citations), Computer Graphics and Computer-Aided Design (26 citations), Information Systems and Management (34 citations) and Computer Networks and Communications (79 citations). Biye Jiang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jeffrey Heer, Zhicheng Liu, Shi‐Min Hu, John Canny, Kun Xu, Liqian Ma, Tien-Tsin Wong, Xiang-Rong Sheng, Hongbo Deng and Shuguang Han. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Graphics, Computer Graphics Forum, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining and Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
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.