Die Hu

2.1k citations
109 papers · 1.6k · h-index 19

Impact in

Papers in

Die Hu

98 papers receiving 1.5k citations

Peers

Die Hu
Comparison fields: 5 of 138
  • Signal Processing 162
  • Computer Networks and Communications 212
  • Electrical and Electronic Engineering 499
  • Computational Mathematics 5
  • Automotive Engineering 93
Replace Amr Ahmed Badr with:
Amr Ahmed Badr Egypt
Cheng Xiang Singapore
Zhen Dong China
Camel Tanougast France
Amitava Datta Australia
Yapeng Wang Macao
Jamal Hussain Shah Pakistan
Seunghyun Park South Korea
Jurij Franc Tasič Slovenia
Die Hu relative to Amr Ahmed Badr Egypt Amr Ahmed Badr's profile →
Citations per field
00.5×5×10.3×
Amr Ahmed Badr · 1×
Citations per year

Countries citing papers authored by Die Hu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Die Hu Line = papers co-authored together Die Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015133
2 2022111
3 201989
4 202186
5 201584
6 201783
7 201280
8 200678
9 201370
10 200758
11 200543
12 201930
13 201829
14 201526
15 202124
16 201924
17 201823
18 202322
19 202219
20 202018

About Die Hu

Die Hu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Signal Processing and Plant Science, having authored 109 papers that have together received 1.6k 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 Stress Responses and Tolerance (5 papers), Advanced Data Compression Techniques (5 papers), Full-Duplex Wireless Communications (5 papers) and Plant Gene Expression Analysis (4 papers). The work is most often cited by research in Signal Processing (162 citations), Computer Networks and Communications (212 citations), Electrical and Electronic Engineering (499 citations), Computational Mathematics (5 citations) and Automotive Engineering (93 citations). Die Hu has collaborated with scholars based in China, United States and France. Frequent co-authors include Lianghua He, Jun Hui Wu, Xiaodong Wang, Tony Lelièvre, Yao Tong, Kai Song, Ying Wen, MengChu Zhou, Xiao-Dong Wang and Karen M. von Deneen. Their work appears in journals such as IEEE Transactions on Wireless Communications, IEEE Wireless Communications Letters, Frontiers in Plant Science, IEEE Communications Letters and Photodiagnosis and Photodynamic Therapy.

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.

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