Ming‐Fong Tsai
- Building and Construction top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Co-authors
- Der‐Jiunn DengChyi‐Ren DowChuan‐Yu ChangLien‐Wu ChenNaveen ChilamkurtiKai‐Yuan TzenPan‐Fu KaoShenghong Huang
- Topics
- Video Surveillance and Tracking Methods (10 papers)Human Pose and Action Recognition (7 papers)IoT and Edge/Fog Computing (6 papers)
- Partner nations
- TaiwanAustraliaUnited States
In The Last Decade
Ming‐Fong Tsai
66 papers receiving 749 citations
Peers
Comparison fields: 5 of 108
- Building and Construction 219
- Electrical and Electronic Engineering 213
- Computer Vision and Pattern Recognition 146
- Computer Networks and Communications 140
- Artificial Intelligence 121
Countries citing papers authored by Ming‐Fong Tsai
This map shows the geographic impact of Ming‐Fong Tsai'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 Ming‐Fong Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Fong Tsai more than expected).
Fields of papers citing papers by Ming‐Fong Tsai
This network shows the impact of papers produced by Ming‐Fong Tsai. 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 Ming‐Fong Tsai. The network helps show where Ming‐Fong Tsai may publish in the future.
Co-authorship network of co-authors of Ming‐Fong Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Fong Tsai. A scholar is included among the top collaborators of Ming‐Fong Tsai 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 Ming‐Fong Tsai. Ming‐Fong Tsai 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 | 5 | |
| 5 | 24 | |
| 6 | 8 | |
| 7 | 3CV3S: Cloud-enabled Cooperative Car Video Share and Search System | 0 |
| 8 | 1 | |
| 9 | 32 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 5 | |
| 13 | 3 | |
| 14 | 27 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 13 | |
| 19 | 1 | |
| 20 | 10 |
About Ming‐Fong Tsai
Ming‐Fong Tsai is a scholar working on Computer Vision and Pattern Recognition, Developmental Biology and Computer Networks and Communications, having authored 75 papers that have together received 799 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (10 papers), Human Pose and Action Recognition (7 papers) and IoT and Edge/Fog Computing (6 papers). The work is most often cited by research in Building and Construction (219 citations), Media Technology (98 citations) and Automotive Engineering (113 citations). Ming‐Fong Tsai has collaborated with scholars based in Taiwan, Australia and United States. Frequent co-authors include Der‐Jiunn Deng, Chyi‐Ren Dow, Chuan‐Yu Chang, Lien‐Wu Chen, Naveen Chilamkurti, Kai‐Yuan Tzen, Pan‐Fu Kao, Shenghong Huang, Ce-Kuen Shieh and Ke‐Hung Tsui. Their work appears in journals such as IEEE Access, Sensors and Pattern Recognition.
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.