Hua Chai
- Electrical and Electronic Engineering
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Renewable Energy, Sustainability and the Environment
- Control and Systems Engineering top 10%
- Topics
- Traffic Prediction and Management Techniques (7 papers)Autonomous Vehicle Technology and Safety (6 papers)Human Mobility and Location-Based Analysis (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessIEEE Transactions on Industry Applications
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Hua Chai
40 papers receiving 553 citations
Peers
Comparison fields: 5 of 77
- Electrical and Electronic Engineering 218
- Artificial Intelligence 213
- Computer Vision and Pattern Recognition 125
- Renewable Energy, Sustainability and the Environment 97
- Control and Systems Engineering 72
Countries citing papers authored by Hua Chai
This map shows the geographic impact of Hua Chai'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 Hua Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Chai more than expected).
Fields of papers citing papers by Hua Chai
This network shows the impact of papers produced by Hua Chai. 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 Hua Chai. The network helps show where Hua Chai may publish in the future.
Co-authorship network of co-authors of Hua Chai
This figure shows the co-authorship network connecting the top 25 collaborators of Hua Chai. A scholar is included among the top collaborators of Hua Chai 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 Hua Chai. Hua Chai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 11 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 21 | |
| 11 | 29 | |
| 12 | 24 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | State-of-the-Art on Texture-Based Well Logging Image Classification | 1 |
| 17 | Identification of the 'Ambiguity Features' of the Conodont by the Artificial Neural Network | 1 |
| 18 | 1 | |
| 19 | 29 | |
| 20 | Study on the detection of the degree of accuracy for the weighing sorting machine | 0 |
About Hua Chai
Hua Chai is a scholar working on Transportation, Building and Construction and Architecture, having authored 44 papers that have together received 570 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (7 papers), Autonomous Vehicle Technology and Safety (6 papers) and Human Mobility and Location-Based Analysis (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (27 citations), Transportation (49 citations) and Artificial Intelligence (213 citations). Hua Chai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhao Zhen, Fei Wang, Jiaming Liu, Xiaoxing Lu, Tieqiang Wang, Yili Yu, Yuzhang Lin, Runbo Hu, Jayashri Ravishankar and Tengfei Xing. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Industry Applications.
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.