Xia Hua
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Artificial Intelligence
- Materials Chemistry
- Electrical and Electronic Engineering
- Co-authors
- Xinqing WangDong WangFaming ShaoTing RuiXiao HuYuyang LiHai‐Tao ZhangFeng Xiao
- Topics
- Video Surveillance and Tracking Methods (7 papers)Visual Attention and Saliency Detection (6 papers)Advanced Neural Network Applications (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsChemical Engineering Journal
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xia Hua
57 papers receiving 558 citations
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 195
- Media Technology 72
- Artificial Intelligence 63
- Materials Chemistry 54
- Electrical and Electronic Engineering 52
Countries citing papers authored by Xia Hua
This map shows the geographic impact of Xia Hua'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 Xia Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xia Hua more than expected).
Fields of papers citing papers by Xia Hua
This network shows the impact of papers produced by Xia Hua. 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 Xia Hua. The network helps show where Xia Hua may publish in the future.
Co-authorship network of co-authors of Xia Hua
This figure shows the co-authorship network connecting the top 25 collaborators of Xia Hua. A scholar is included among the top collaborators of Xia Hua 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 Xia Hua. Xia Hua 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 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 11 | |
| 9 | 37 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | How does Local Government Debt Affect Entity Enterprises’ Credit Financing—The Heterogeneous Analysis of China’s Industrial Firms | 1 |
| 16 | 56 | |
| 17 | Optimal Design of High Precision Aerostatic Swivel Table | 0 |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 28 |
About Xia Hua
Xia Hua is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Environmental Engineering, having authored 68 papers that have together received 582 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (7 papers), Visual Attention and Saliency Detection (6 papers) and Advanced Neural Network Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (195 citations), Media Technology (72 citations) and Environmental Engineering (39 citations). Xia Hua has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xinqing Wang, Dong Wang, Faming Shao, Ting Rui, Xiao Hu, Yuyang Li, Hai‐Tao Zhang, Feng Xiao, Fanjie Meng and Barath Raghavan. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Chemical Engineering Journal.
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.