Hongda Tian
- Computer Vision and Pattern Recognition top 5%
- Safety, Risk, Reliability and Quality top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Atomic and Molecular Physics, and Optics
- Topics
- Optical Network Technologies (5 papers)Photonic Crystal and Fiber Optics (5 papers)Fire Detection and Safety Systems (4 papers)
- Cited by
- Safety, Risk, Reliability and QualityComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Image ProcessingInternational Journal of Computer Vision
In The Last Decade
Hongda Tian
20 papers receiving 336 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 207
- Safety, Risk, Reliability and Quality 163
- Electrical and Electronic Engineering 66
- Artificial Intelligence 55
- Atomic and Molecular Physics, and Optics 27
Countries citing papers authored by Hongda Tian
This map shows the geographic impact of Hongda Tian'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 Hongda Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongda Tian more than expected).
Fields of papers citing papers by Hongda Tian
This network shows the impact of papers produced by Hongda Tian. 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 Hongda Tian. The network helps show where Hongda Tian may publish in the future.
Co-authorship network of co-authors of Hongda Tian
This figure shows the co-authorship network connecting the top 25 collaborators of Hongda Tian. A scholar is included among the top collaborators of Hongda Tian 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 Hongda Tian. Hongda Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 23 | |
| 6 | 3 | |
| 7 | 44 | |
| 8 | 46 | |
| 9 | 10 | |
| 10 | 63 | |
| 11 | 10 | |
| 12 | 44 | |
| 13 | 34 | |
| 14 | 30 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | 12 | |
| 18 | 2 | |
| 19 | 8 | |
| 20 | 13 |
About Hongda Tian
Hongda Tian is a scholar working on Safety, Risk, Reliability and Quality, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 20 papers that have together received 363 indexed citations. Recurring topics across this work include Optical Network Technologies (5 papers), Photonic Crystal and Fiber Optics (5 papers) and Fire Detection and Safety Systems (4 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (163 citations), Computer Vision and Pattern Recognition (207 citations) and Artificial Intelligence (55 citations). Hongda Tian has collaborated with scholars based in Australia, China and Iran. Frequent co-authors include Wanqing Li, Philip Ogunbona, Lei Wang, Fang Chen, Lihong Han, Yang Wang, Yumin Liu, Wenxiong Kang, Zhiyong Wang and Omid Tarkhaneh. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and International Journal of Computer Vision.
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.