Xiaoqing Ding
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Transportation top 5%
- Media Technology top 5%
- Topics
- Handwritten Text Recognition Techniques (14 papers)Face and Expression Recognition (13 papers)Image Retrieval and Classification Techniques (12 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePattern RecognitionNeurocomputing
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoqing Ding
59 papers receiving 688 citations
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 496
- Artificial Intelligence 137
- Signal Processing 105
- Transportation 102
- Media Technology 93
Countries citing papers authored by Xiaoqing Ding
This map shows the geographic impact of Xiaoqing Ding'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 Xiaoqing Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoqing Ding more than expected).
Fields of papers citing papers by Xiaoqing Ding
This network shows the impact of papers produced by Xiaoqing Ding. 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 Xiaoqing Ding. The network helps show where Xiaoqing Ding may publish in the future.
Co-authorship network of co-authors of Xiaoqing Ding
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoqing Ding. A scholar is included among the top collaborators of Xiaoqing Ding 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 Xiaoqing Ding. Xiaoqing Ding 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 | 8 | |
| 3 | 81 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 18 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 30 | |
| 12 | A fast algorithm of address lines extraction on complex Chinese mail pieces | 1 |
| 13 | 12 | |
| 14 | 0 | |
| 15 | An Algorithm for Multi-font Printed Tibetan Character Recognition | 4 |
| 16 | A Normalization Method of Multi-font Printed Tibetan Characters | 2 |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 9 |
About Xiaoqing Ding
Xiaoqing Ding is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Signal Processing, having authored 61 papers that have together received 728 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (14 papers), Face and Expression Recognition (13 papers) and Image Retrieval and Classification Techniques (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (496 citations), Transportation (102 citations) and Media Technology (93 citations). Xiaoqing Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hailong Liu, Shengjin Wang, Yali Li, Chi Fang, Qi Tian, Yong Qin, Lianyu Chu, Limin Jia, Xuesong Zhou and Honghui Dong. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Neurocomputing.
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.