Hengtao He

2.9k citations
37 papers · 1.6k indexed · 3 hit papers · h-index 14
Topics
Wireless Signal Modulation Classification (13 papers)Advanced MIMO Systems Optimization (13 papers)Millimeter-Wave Propagation and Modeling (11 papers)
Partner nations
Hong KongChinaTaiwan

In The Last Decade

Hengtao He

36 papers receiving 1.6k citations

Hit Papers

Deep Learning-Based Channel Estimation for Beamspace mmWa...2018202620202023201820192020100200300400500

Peers

Hengtao He
Comparison fields: 5 of 59
  • Electrical and Electronic Engineering 1.3k
  • Artificial Intelligence 668
  • Aerospace Engineering 369
  • Computer Networks and Communications 285
  • Signal Processing 169
Replace Hai Lin with:
Hai Lin Japan
Haoran Sun United States
Robert Inkol Canada
S.S. Soliman United States
Jean‐Yves Chouinard Canada
A. Tarighat United States
Branislav M. Popović Sweden
Catherine Douillard France
Hakan Ali Çırpan Türkiye
Paolo Banelli Italy
Hengtao He relative to Hai Lin Japan Hai Lin's profile →
Citations per field
00.5×3.4×
Hai Lin · 1×
Citations per year

Countries citing papers authored by Hengtao He

Since Specialization
Citations

This map shows the geographic impact of Hengtao He'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 Hengtao He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hengtao He more than expected).

Fields of papers citing papers by Hengtao He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hengtao He. 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 Hengtao He. The network helps show where Hengtao He may publish in the future.

Co-authorship network of co-authors of Hengtao He

This figure shows the co-authorship network connecting the top 25 collaborators of Hengtao He. A scholar is included among the top collaborators of Hengtao He 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 Hengtao He. Hengtao He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 2
3 2
4 3
5 1
6 1
7 5
8 4
9 3
10 50
11 8
12 28
13 31
14 14
15 75
16
Model-Driven Deep Learning for MIMO Detectionbreakdown →
288
17 17
18 13
19 60
20
Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systemsbreakdown →
535

About Hengtao He

Hengtao He is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Wireless Signal Modulation Classification (13 papers), Advanced MIMO Systems Optimization (13 papers) and Millimeter-Wave Propagation and Modeling (11 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.3k citations), Artificial Intelligence (668 citations) and Signal Processing (169 citations). Hengtao He has collaborated with scholars based in Hong Kong, China and Taiwan. Frequent co-authors include Shi Jin, Chao-Kai Wen, Geoffrey Ye Li, Zongben Xu, Feifei Gao, Khaled B. Letaief, Jun Zhang, Xianghao Yu, Shenghui Song and W. Jin. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.

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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