Suhua Tang
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Co-authors
- Sadao ObanaYi YuHiroyuki YomoAkiko AizawaKiyoharu AizawaJunjun JiangJiayi MaRoger Zimmermann
- Topics
- Wireless Networks and Protocols (29 papers)Cooperative Communication and Network Coding (23 papers)Mobile Ad Hoc Networks (21 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsSignal Processing
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
In The Last Decade
Suhua Tang
103 papers receiving 916 citations
Peers
Comparison fields: 5 of 75
- Electrical and Electronic Engineering 424
- Computer Vision and Pattern Recognition 353
- Computer Networks and Communications 333
- Artificial Intelligence 140
- Signal Processing 121
Countries citing papers authored by Suhua Tang
This map shows the geographic impact of Suhua Tang'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 Suhua Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suhua Tang more than expected).
Fields of papers citing papers by Suhua Tang
This network shows the impact of papers produced by Suhua Tang. 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 Suhua Tang. The network helps show where Suhua Tang may publish in the future.
Co-authorship network of co-authors of Suhua Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Suhua Tang. A scholar is included among the top collaborators of Suhua Tang 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 Suhua Tang. Suhua Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 8 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 21 | |
| 12 | 6 | |
| 13 | 51 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | Network Coding Based Relay Scheme for Wireless LAN | 1 |
| 17 | Performance Evaluation of Safety Applications Over CDMA Vehicular Ad Hoc Networks | 2 |
| 18 | Medium Access Control for Distributed CDMA networks | 2 |
| 19 | Cyclostationarity-based Symbol Rate Estimation | 0 |
| 20 | 3-D surface inspection using interferometric grating and 2-D FFT based technique | 0 |
About Suhua Tang
Suhua Tang is a scholar working on Computer Networks and Communications, Signal Processing and Computer Vision and Pattern Recognition, having authored 117 papers that have together received 971 indexed citations. Recurring topics across this work include Wireless Networks and Protocols (29 papers), Cooperative Communication and Network Coding (23 papers) and Mobile Ad Hoc Networks (21 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (353 citations), Computer Networks and Communications (333 citations) and Signal Processing (121 citations). Suhua Tang has collaborated with scholars based in Japan, China and Singapore. Frequent co-authors include Sadao Obana, Yi Yu, Hiroyuki Yomo, Akiko Aizawa, Kiyoharu Aizawa, Junjun Jiang, Jiayi Ma, Roger Zimmermann, Lei Chen and Chao Zhang. 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.