Die Hu
Impact in
- Signal Processing top 5%
- Blind Source Separation Techniques
Papers in ⓘ
-
- Wireless Communication Networks Research 8
- Cooperative Communication and Network Coding 7
- Co-authors
- Lianghua He (22 shared papers)Jun Wu (12 shared papers)Xiaodong Wang (2 shared papers)Meng Wan (2 shared papers)Ying Wen (2 shared papers)Tony Lelièvre (1 shared paper)Kai Song (1 shared paper)Yao Tong (1 shared paper)
- Journals
- IEEE Wireless Communications Letters (5 papers)Frontiers in Plant Science (4 papers)IEEE Transactions on Wireless Communications (4 papers)Photodiagnosis and Photodynamic Therapy (3 papers)IEEE Communications Letters (2 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Die Hu
87 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 138
- Signal Processing 149
- Computational Mathematics 5
- Computer Networks and Communications 190
- Electrical and Electronic Engineering 468
- Human-Computer Interaction 37
Countries citing papers authored by Die Hu
This map shows the geographic impact of Die Hu'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 Die Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Die Hu more than expected).
Fields of papers citing papers by Die Hu
This network shows the impact of papers produced by Die Hu. 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 Die Hu. The network helps show where Die Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Die Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 127 | |
| 2 | 2022 | 87 | |
| 3 | 2017 | 80 | |
| 4 | 2019 | 79 | |
| 5 | 2012 | 79 | |
| 6 | 2015 | 76 | |
| 7 | 2021 | 75 | |
| 8 | 2006 | 75 | |
| 9 | 2013 | 65 | |
| 10 | 2007 | 48 | |
| 11 | 2005 | 40 | |
| 12 | 2018 | 27 | |
| 13 | 2019 | 25 | |
| 14 | 2015 | 24 | |
| 15 | 2021 | 22 | |
| 16 | 2019 | 22 | |
| 17 | 2018 | 17 | |
| 18 | 2023 | 17 | |
| 19 | 2020 | 17 | |
| 20 | 2011 | 16 |
About Die Hu
Die Hu is a scholar working on Computer Networks and Communications, Signal Processing, Medical Laboratory Technology, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 99 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (18 papers), Advanced MIMO Systems Optimization (15 papers), Wireless Communication Networks Research (8 papers), Cooperative Communication and Network Coding (7 papers), Plant Gene Expression Analysis (5 papers), Full-Duplex Wireless Communications (5 papers), Plant Stress Responses and Tolerance (5 papers) and Advanced Data Compression Techniques (4 papers). The work is most often cited by research in Signal Processing (149 citations), Computational Mathematics (5 citations), Computer Networks and Communications (190 citations), Electrical and Electronic Engineering (468 citations) and Human-Computer Interaction (37 citations). Die Hu has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Lianghua He, Jun Wu, Xiaodong Wang, Meng Wan, Ying Wen, Tony Lelièvre, Kai Song, Yao Tong, MengChu Zhou and Xiao‐Guang Yue. Their work appears in journals such as IEEE Wireless Communications Letters, Frontiers in Plant Science, IEEE Transactions on Wireless Communications, Photodiagnosis and Photodynamic Therapy and IEEE Communications Letters.
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.