Hengtao He

2.9k total citations · 3 hit papers
37 papers, 1.6k citations indexed

About

Hengtao He is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Hengtao He has authored 37 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 17 papers in Artificial Intelligence and 8 papers in Computer Networks and Communications. Recurrent topics in Hengtao He's work include Wireless Signal Modulation Classification (13 papers), Advanced MIMO Systems Optimization (13 papers) and Millimeter-Wave Propagation and Modeling (11 papers). Hengtao He is often cited by papers focused on Wireless Signal Modulation Classification (13 papers), Advanced MIMO Systems Optimization (13 papers) and Millimeter-Wave Propagation and Modeling (11 papers). Hengtao He collaborates with scholars based in Hong Kong, China and Taiwan. Hengtao He's 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 and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.

In The Last Decade

Hengtao He

36 papers receiving 1.6k citations

Hit Papers

3 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems

2018 535 citations Hengtao He, Chao-Kai Wen et al. IEEE Wireless Communications Letters profile →
Model-Driven Deep Learning for Physical Layer Communications

2019 327 citations Hengtao He, Shi Jin et al. profile →
Model-Driven Deep Learning for MIMO Detection

2020 288 citations Hengtao He, Chao-Kai Wen et al. IEEE Transactions on Signal Processing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hengtao He Hong Kong	14	1.3k	668	369	285	169	37	1.6k
Robert Inkol Canada	18	604 0.5×	574 0.9×	428 1.2×	275 1.0×	401 2.4×	106	1.2k
Hai Lin Japan	26	2.6k 2.1×	196 0.3×	769 2.1×	665 2.3×	193 1.1×	168	3.0k
Jean‐Yves Chouinard Canada	20	930 0.7×	241 0.4×	235 0.6×	527 1.8×	127 0.8×	122	1.3k
S.S. Soliman United States	13	688 0.5×	476 0.7×	292 0.8×	411 1.4×	214 1.3×	45	1.1k
Aditya K. Jagannatham India	22	1.6k 1.2×	109 0.2×	327 0.9×	714 2.5×	222 1.3×	195	1.8k
Branislav M. Popović Sweden	15	1.1k 0.9×	378 0.6×	271 0.7×	690 2.4×	110 0.7×	68	1.4k
Baoming Bai China	20	1.7k 1.3×	240 0.4×	250 0.7×	1.1k 3.9×	44 0.3×	240	1.9k
Stephen G. Wilson United States	22	2.2k 1.8×	339 0.5×	334 0.9×	1.4k 4.8×	148 0.9×	110	2.4k
Hakan Ali Çırpan Türkiye	17	646 0.5×	139 0.2×	176 0.5×	380 1.3×	222 1.3×	144	948
Dongweon Yoon South Korea	18	1.4k 1.1×	316 0.5×	213 0.6×	860 3.0×	139 0.8×	139	1.7k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

He, Hengtao, Shenghui Song, Jun Zhang, et al.. (2025). AI and Deep Learning for Terahertz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models. Engineering. 56. 14–33. 2 indexed citations

Shao, Jiawei, et al.. (2025). Tackling Distribution Shifts in Task-Oriented Communication With Information Bottleneck. IEEE Journal on Selected Areas in Communications. 43(7). 2667–2683. 2 indexed citations

Zhang, Kai, Hengtao He, Shenghui Song, Jun Zhang, & Khaled B. Letaief. (2025). Communication-Efficient Distributed On-Device LLM Inference Over Wireless Networks. IEEE Journal of Selected Topics in Signal Processing. 19(7). 1301–1317. 2 indexed citations

He, Hengtao, et al.. (2025). Deep Learning for Near-Field XL-MIMO Transceiver Design: Principles and Techniques. IEEE Communications Magazine. 63(1). 52–58. 3 indexed citations

He, Hengtao, Xianghao Yu, Shenghui Song, et al.. (2024). Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO. IEEE Journal of Selected Topics in Signal Processing. 18(4). 714–729. 5 indexed citations

Liu, Lumin, et al.. (2024). The Effect of Quantization in Federated Learning:A Rényi Differential Privacy Perspective. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 233–238. 1 indexed citations

He, Hengtao, Xianghao Yu, Shenghui Song, et al.. (2024). Newtonized Near-Field Channel Estimation for Ultra-Massive MIMO Systems. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–6. 4 indexed citations

Mao, Yuyi, Hengtao He, Lei Xie, et al.. (2024). Approximate Message Passing-Enhanced Graph Neural Network for OTFS Data Detection. IEEE Wireless Communications Letters. 13(7). 1913–1917. 1 indexed citations

He, Hengtao, Xianghao Yu, Shenghui Song, et al.. (2024). Learning Bayes-Optimal Channel Estimation for Holographic MIMO in Unknown EM Environments. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3592–3597. 3 indexed citations

10.

Shen, Yifei, Hengtao He, Xianghao Yu, et al.. (2023). An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation. IEEE Journal of Selected Topics in Signal Processing. 17(4). 761–776. 50 indexed citations

11.

He, Hengtao, et al.. (2023). Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3136–3141. 8 indexed citations

12.

Shen, Yifei, et al.. (2022). Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 5384–5389. 28 indexed citations

13.

He, Hengtao, Rui Wang, W. Jin, et al.. (2022). Beamspace Channel Estimation for Wideband Millimeter-Wave MIMO: A Model-Driven Unsupervised Learning Approach. IEEE Transactions on Wireless Communications. 22(3). 1808–1822. 31 indexed citations

14.

He, Hengtao, Hanqing Wang, Xianghao Yu, et al.. (2021). Distributed Expectation Propagation Detection for Cell-Free Massive MIMO. 2021 IEEE Global Communications Conference (GLOBECOM). 14 indexed citations

15.

He, Hengtao, Chao-Kai Wen, Shi Jin, & Geoffrey Ye Li. (2020). Model-Driven Deep Learning for MIMO Detection. IEEE Transactions on Signal Processing. 68. 1702–1715. 288 indexed citations breakdown →

16.

He, Hengtao, et al.. (2020). Model-Driven Deep Learning for Massive MU-MIMO With Finite-Alphabet Precoding. IEEE Communications Letters. 24(10). 2216–2220. 17 indexed citations

17.

He, Hengtao, et al.. (2020). Model-Driven Deep Learning for Massive Multiuser MIMO Constant Envelope Precoding. IEEE Wireless Communications Letters. 9(11). 1835–1839. 13 indexed citations

18.

Wang, Rui, Hengtao He, Shi Jin, Xin Wang, & Xiaolin Hou. (2019). Channel Estimation for Millimeter Wave Massive MIMO Systems with Low-Resolution ADCs. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–5. 10 indexed citations

19.

He, Hengtao, Chao-Kai Wen, Shi Jin, & Geoffrey Ye Li. (2018). Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems. IEEE Wireless Communications Letters. 7(5). 852–855. 535 indexed citations breakdown →

20.

He, Hengtao, Chao-Kai Wen, & Shi Jin. (2018). Bayesian Optimal Data Detector for Hybrid mmWave MIMO-OFDM Systems With Low-Resolution ADCs. IEEE Journal of Selected Topics in Signal Processing. 12(3). 469–483. 60 indexed citations

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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