Fan‐Hsun Tseng
- Computer Networks and Communications top 1%
- Information Systems top 1%
- Electrical and Electronic Engineering top 10%
- Aerospace Engineering top 5%
- Artificial Intelligence top 10%
- Co-authors
- Li‐Der ChouHan‐Chieh ChaoZhenjiang ZhangWenyu ZhangHsin‐Hung ChoYao-Tsung YangChia-Wei TsengHsin‐Te Wu
- Topics
- IoT and Edge/Fog Computing (15 papers)Cloud Computing and Resource Management (11 papers)Software-Defined Networks and 5G (8 papers)
In The Last Decade
Fan‐Hsun Tseng
51 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Computer Networks and Communications 1.0k
- Information Systems 477
- Electrical and Electronic Engineering 471
- Aerospace Engineering 307
- Artificial Intelligence 181
Countries citing papers authored by Fan‐Hsun Tseng
This map shows the geographic impact of Fan‐Hsun Tseng'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 Fan‐Hsun Tseng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan‐Hsun Tseng more than expected).
Fields of papers citing papers by Fan‐Hsun Tseng
This network shows the impact of papers produced by Fan‐Hsun Tseng. 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 Fan‐Hsun Tseng. The network helps show where Fan‐Hsun Tseng may publish in the future.
Co-authorship network of co-authors of Fan‐Hsun Tseng
This figure shows the co-authorship network connecting the top 25 collaborators of Fan‐Hsun Tseng. A scholar is included among the top collaborators of Fan‐Hsun Tseng 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 Fan‐Hsun Tseng. Fan‐Hsun Tseng 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 | 2 | |
| 6 | 26 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | Optimal Route Planning System for Logistics Vehicles Based on Artificial Intelligence | 18 |
| 11 | 10 | |
| 12 | 120 | |
| 13 | 20 | |
| 14 | 3 | |
| 15 | Black Hole along with Other Attacks in MANETs: A Survey | 9 |
| 16 | 68 | |
| 17 | 28 | |
| 18 | 16 | |
| 19 | 53 | |
| 20 | 16 |
About Fan‐Hsun Tseng
Fan‐Hsun Tseng is a scholar working on Computer Networks and Communications, Information Systems and Aerospace Engineering, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (15 papers), Cloud Computing and Resource Management (11 papers) and Software-Defined Networks and 5G (8 papers). The work is most often cited by research in Computer Networks and Communications (1.0k citations), Information Systems (477 citations) and Aerospace Engineering (307 citations). Fan‐Hsun Tseng has collaborated with scholars based in Taiwan, China and Canada. Frequent co-authors include Li‐Der Chou, Han‐Chieh Chao, Zhenjiang Zhang, Wenyu Zhang, Hsin‐Hung Cho, Yao-Tsung Yang, Chia-Wei Tseng, Hsin‐Te Wu, Chien-Chang Liu and Victor C. M. Leung. Their work appears in journals such as IEEE Access, Sustainability and IEEE Transactions on Industrial Informatics.
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.