Jiangying Zhou
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Information Systems
- Media Technology top 10%
- Signal Processing
- Co-authors
- Daniel LoprestiTheo PavlidisGeorge NagyZhibin LeiTolga TaşdizenPaul B. KantorJairo RochaTapas Kanungo
- Topics
- Handwritten Text Recognition Techniques (10 papers)Image Retrieval and Classification Techniques (8 papers)Advanced Image and Video Retrieval Techniques (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePattern RecognitionComputer Vision and Image Understanding
- Partner nations
- United StatesGermanyChina
In The Last Decade
Jiangying Zhou
23 papers receiving 241 citations
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 242
- Artificial Intelligence 74
- Information Systems 29
- Media Technology 27
- Signal Processing 21
Countries citing papers authored by Jiangying Zhou
This map shows the geographic impact of Jiangying Zhou'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 Jiangying Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangying Zhou more than expected).
Fields of papers citing papers by Jiangying Zhou
This network shows the impact of papers produced by Jiangying Zhou. 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 Jiangying Zhou. The network helps show where Jiangying Zhou may publish in the future.
Co-authorship network of co-authors of Jiangying Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Jiangying Zhou. A scholar is included among the top collaborators of Jiangying Zhou 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 Jiangying Zhou. Jiangying Zhou 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 | Document Recognition and Retrieval IX | 3 |
| 3 | Document Recognition and Retrieval VIII | 5 |
| 4 | 35 | |
| 5 | Document Recognition and Retrieval VII | 2 |
| 6 | Document Recognition V | 5 |
| 7 | 13 | |
| 8 | 25 | |
| 9 | 17 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | Repeated Sampling to Improve Classifier Accuracy. | 4 |
| 14 | 29 | |
| 15 | 3 | |
| 16 | 10 | |
| 17 | A document analysis system | 4 |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 18 |
About Jiangying Zhou
Jiangying Zhou is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Signal Processing, having authored 23 papers that have together received 276 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (10 papers), Image Retrieval and Classification Techniques (8 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (242 citations), Media Technology (27 citations) and Artificial Intelligence (74 citations). Jiangying Zhou has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Daniel Lopresti, Theo Pavlidis, George Nagy, Zhibin Lei, Tolga Taşdizen, Paul B. Kantor, Jairo Rocha, Tapas Kanungo, Andrew Tomkins and Mark A. Peot. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Computer Vision and Image Understanding.
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.