Jin Ho Yang
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Materials Chemistry
- Biomedical Engineering
- Co-authors
- Chung Choo ChungCan ChenXinjiang LuYanjie FuHui XiongByoung Hun LeeWoo Young ChoiKi Woong Whang
- Topics
- Autonomous Vehicle Technology and Safety (18 papers)Traffic control and management (7 papers)Vehicle Dynamics and Control Systems (6 papers)
- Partner nations
- South KoreaChinaJapan
In The Last Decade
Jin Ho Yang
43 papers receiving 478 citations
Peers
Comparison fields: 5 of 74
- Electrical and Electronic Engineering 140
- Artificial Intelligence 127
- Computer Networks and Communications 115
- Materials Chemistry 103
- Biomedical Engineering 85
Countries citing papers authored by Jin Ho Yang
This map shows the geographic impact of Jin Ho Yang'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 Jin Ho Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Ho Yang more than expected).
Fields of papers citing papers by Jin Ho Yang
This network shows the impact of papers produced by Jin Ho Yang. 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 Jin Ho Yang. The network helps show where Jin Ho Yang may publish in the future.
Co-authorship network of co-authors of Jin Ho Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Jin Ho Yang. A scholar is included among the top collaborators of Jin Ho Yang 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 Jin Ho Yang. Jin Ho Yang 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 | 6 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | Detecting Double Layer Signs with OCT volumes using a 3D Convolutional Neural Network (CNN) | 1 |
| 8 | 4 | |
| 9 | 17 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 9 | |
| 16 | 3 | |
| 17 | 44 | |
| 18 | 28 | |
| 19 | Distributed traffic signal intelligence control model based on non-hierarchical MAS | 1 |
| 20 | 3 |
About Jin Ho Yang
Jin Ho Yang is a scholar working on Automotive Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 489 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (18 papers), Traffic control and management (7 papers) and Vehicle Dynamics and Control Systems (6 papers). The work is most often cited by research in Automotive Engineering (84 citations), Computer Networks and Communications (115 citations) and Signal Processing (50 citations). Jin Ho Yang has collaborated with scholars based in South Korea, China and Japan. Frequent co-authors include Chung Choo Chung, Can Chen, Xinjiang Lu, Yanjie Fu, Hui Xiong, Byoung Hun Lee, Woo Young Choi, Ki Woong Whang, Rui Hou and Hyeon Jun Hwang. Their work appears in journals such as ACS Applied Materials & Interfaces, 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.