Tsung-Han Lin
- Electrical and Electronic Engineering top 5%
- Automotive Engineering top 1%
- Computer Vision and Pattern Recognition top 5%
- Polymers and Plastics top 5%
- Artificial Intelligence top 5%
- Co-authors
- Jeff SchneiderFang‐Chieh ChouHenggang CuiThi NguyenNemanja DjuricVladan RadosavljevićH. T. KungTzu-Kuo Huang
- Topics
- Parallel Computing and Optimization Techniques (9 papers)Indoor and Outdoor Localization Technologies (8 papers)Cloud Computing and Resource Management (6 papers)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Tsung-Han Lin
73 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Electrical and Electronic Engineering 702
- Automotive Engineering 530
- Computer Vision and Pattern Recognition 343
- Polymers and Plastics 300
- Artificial Intelligence 252
Countries citing papers authored by Tsung-Han Lin
This map shows the geographic impact of Tsung-Han Lin'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 Tsung-Han Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsung-Han Lin more than expected).
Fields of papers citing papers by Tsung-Han Lin
This network shows the impact of papers produced by Tsung-Han Lin. 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 Tsung-Han Lin. The network helps show where Tsung-Han Lin may publish in the future.
Co-authorship network of co-authors of Tsung-Han Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Tsung-Han Lin. A scholar is included among the top collaborators of Tsung-Han Lin 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 Tsung-Han Lin. Tsung-Han Lin 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 | 0 | |
| 3 | Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories | 7 |
| 4 | Short-term Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks | 20 |
| 5 | Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks. | 26 |
| 6 | Sparse Dictionary Learning by Dynamical Neural Networks | 1 |
| 7 | 43 | |
| 8 | 3 | |
| 9 | 12 | |
| 10 | Stable and Efficient Representation Learning with Nonnegativity Constraints | 19 |
| 11 | 19 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | 56 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 7 | |
| 19 | 2 | |
| 20 | Serodiagnosis of tuberculosis - A study comparing three specific mycobacterial antigens | 7 |
About Tsung-Han Lin
Tsung-Han Lin is a scholar working on Hardware and Architecture, Microbiology and Computer Networks and Communications, having authored 75 papers that have together received 1.7k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (9 papers), Indoor and Outdoor Localization Technologies (8 papers) and Cloud Computing and Resource Management (6 papers). The work is most often cited by research in Automotive Engineering (530 citations), Polymers and Plastics (300 citations) and Safety, Risk, Reliability and Quality (178 citations). Tsung-Han Lin has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Jeff Schneider, Fang‐Chieh Chou, Henggang Cui, Thi Nguyen, Nemanja Djuric, Vladan Radosavljević, H. T. Kung, Tzu-Kuo Huang, Wei‐Fang Su and Cheng‐Si Tsao. Their work appears in journals such as Journal of the American Chemical Society, ACS Nano and Energy & Environmental Science.
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.