Tianhong Yan
- Ocean Engineering top 1%
- Aerospace Engineering top 5%
- Control and Systems Engineering top 2%
- Computer Vision and Pattern Recognition top 5%
- Civil and Structural Engineering top 5%
- Topics
- Underwater Vehicles and Communication Systems (45 papers)Machine Learning and ELM (22 papers)Robotics and Sensor-Based Localization (21 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
In The Last Decade
Tianhong Yan
151 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 123
- Ocean Engineering 516
- Aerospace Engineering 418
- Control and Systems Engineering 395
- Computer Vision and Pattern Recognition 361
- Civil and Structural Engineering 294
Countries citing papers authored by Tianhong Yan
This map shows the geographic impact of Tianhong Yan'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 Tianhong Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianhong Yan more than expected).
Fields of papers citing papers by Tianhong Yan
This network shows the impact of papers produced by Tianhong Yan. 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 Tianhong Yan. The network helps show where Tianhong Yan may publish in the future.
Co-authorship network of co-authors of Tianhong Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Tianhong Yan. A scholar is included among the top collaborators of Tianhong Yan 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 Tianhong Yan. Tianhong Yan 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 13 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | Side scan sonar segmentation using deep convolutional neural network | 15 |
| 14 | Fish recognition using convolutional neural network | 18 |
| 15 | Controller design of an autonomous underwater vehicle using ELM-based sliding mode control | 0 |
| 16 | 25 | |
| 17 | 6 | |
| 18 | 4 | |
| 19 | Rao-blackwellised particle filter SLAM with consistent mapping for AUVs | 2 |
| 20 | SLAM and a novel loop closure detection for autonomous underwater vehicles | 3 |
About Tianhong Yan
Tianhong Yan is a scholar working on Ocean Engineering, Aerospace Engineering and Control and Systems Engineering, having authored 160 papers that have together received 1.9k indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (45 papers), Machine Learning and ELM (22 papers) and Robotics and Sensor-Based Localization (21 papers). The work is most often cited by research in Ocean Engineering (516 citations), Oceanography (223 citations) and Computer Vision and Pattern Recognition (361 citations). Tianhong Yan has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Bo He, Bo He, Yue Shen, Rui Nian, Weihua Li, Yan Song, S. S. Sun, Haiping Du, Fei Yu and Gürsel Alıcı. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.