Hao He

1.7k total citations · 1 hit paper
30 papers, 1.2k citations indexed

About

Hao He is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Hao He has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 8 papers in Signal Processing. Recurrent topics in Hao He's work include Distributed Sensor Networks and Detection Algorithms (8 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers) and Statistical Methods and Inference (4 papers). Hao He is often cited by papers focused on Distributed Sensor Networks and Detection Algorithms (8 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers) and Statistical Methods and Inference (4 papers). Hao He collaborates with scholars based in United States, Sweden and China. Hao He's co-authors include Petre Stoica, Jian Li, Dina Katabi, Jian Li, Baoyuan Wang, Yuanming Hu, Chenxi Xu, Stephen Lin, Pramod K. Varshney and Hariharan Rahul and has published in prestigious journals such as IEEE Transactions on Signal Processing, ACM Transactions on Graphics and Aquatic Toxicology.

In The Last Decade

Hao He

28 papers receiving 1.1k citations

Hit Papers

New Algorithms for Designing Unimodular Sequences With Go... 2009 2026 2014 2020 2009 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao He United States 11 434 331 291 227 189 30 1.2k
Lütfiye Durak-Ata Türkiye 15 182 0.4× 295 0.9× 356 1.2× 86 0.4× 150 0.8× 116 962
Firooz A. Sadjadi United States 13 460 1.1× 376 1.1× 115 0.4× 275 1.2× 115 0.6× 84 1.1k
Peter O’Shea Australia 19 402 0.9× 277 0.8× 429 1.5× 158 0.7× 45 0.2× 101 1.3k
Andriyan Bayu Suksmono Indonesia 14 375 0.9× 308 0.9× 196 0.7× 268 1.2× 59 0.3× 162 1.1k
Xuegang Wang China 17 379 0.9× 128 0.4× 143 0.5× 120 0.5× 74 0.4× 152 1.0k
Tao Su China 19 1.4k 3.3× 235 0.7× 267 0.9× 402 1.8× 149 0.8× 54 1.7k
Shengheng Liu China 23 690 1.6× 203 0.6× 880 3.0× 296 1.3× 215 1.1× 90 1.9k
Weidong Hu China 18 654 1.5× 319 1.0× 304 1.0× 166 0.7× 60 0.3× 121 1.4k
Xiaoheng Tan China 19 386 0.9× 219 0.7× 226 0.8× 172 0.8× 83 0.4× 105 1.1k
Tao Shan China 21 834 1.9× 161 0.5× 314 1.1× 264 1.2× 37 0.2× 92 1.2k

Countries citing papers authored by Hao He

Since Specialization
Citations

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

Fields of papers citing papers by Hao He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao He

This figure shows the co-authorship network connecting the top 25 collaborators of Hao He. A scholar is included among the top collaborators of Hao 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 Hao He. Hao 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
1.
Xiao, Yun‐Feng, Xiaowei Bai, Baojun Chen, et al.. (2025). De2Gaze: Deformable and Decoupled Representation Learning for 3D Gaze Estimation. 3091–3100.
2.
Ma, Yang, Jinguo Wang, Rong Mo, et al.. (2024). Automated counting and classifying Daphnia magna using machine vision. Aquatic Toxicology. 276. 107126–107126.
3.
He, Hao, et al.. (2019). Dog recognition in public places based on convolutional neural network. International Journal of Distributed Sensor Networks. 15(5). 812335735–812335735. 3 indexed citations
4.
Yang, Dongfang, et al.. (2019). Air-to-ground multimodal object detection algorithm based on feature association learning. International Journal of Advanced Robotic Systems. 16(3). 10 indexed citations
5.
Wang, Hao, Chengzhi Mao, Hao He, et al.. (2019). Bidirectional Inference Networks:A Class of Deep Bayesian Networks for Health Profiling. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 766–773. 10 indexed citations
6.
Tian, Yonglong, Guang-He Lee, Hao He, Chen-Yu Hsu, & Dina Katabi. (2018). RF-Based Fall Monitoring Using Convolutional Neural Networks. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 2(3). 1–24. 131 indexed citations
7.
Hu, Yuanming, Hao He, Chenxi Xu, Baoyuan Wang, & Stephen Lin. (2018). Exposure. ACM Transactions on Graphics. 37(2). 1–17. 168 indexed citations
8.
He, Hao, et al.. (2015). Distributed classification under statistical dependence with application to automatic modulation classification. International Conference on Information Fusion. 1597–1602. 2 indexed citations
9.
He, Hao, et al.. (2015). Copula based dependence modeling for inference in RADAR systems. 4473. 197–202. 1 indexed citations
10.
He, Hao, et al.. (2015). Social media data assisted inference with application to stock prediction. 1801–1805. 5 indexed citations
11.
He, Hao & Pramod K. Varshney. (2015). A Coalitional Game for Distributed Inference in Sensor Networks With Dependent Observations. IEEE Transactions on Signal Processing. 64(7). 1854–1866. 9 indexed citations
12.
He, Hao. (2015). Heterogeneous Sensor Signal Processing for Inference with Nonlinear Dependence. 5 indexed citations
13.
He, Hao & Pramod K. Varshney. (2014). Distributed detection with censoring sensors under dependent observations. 5055–5059. 6 indexed citations
14.
Zhou, Yatong, et al.. (2013). Video Text Detection via Robust Minimax Probability Machine. International Journal of Digital Content Technology and its Applications. 7(1). 679–686. 2 indexed citations
15.
He, Hao, Arun Subramanian, Pramod K. Varshney, & Thyagaraju Damarla. (2012). Fusing heterogeneous data for detection under non-stationary dependence. Syracuse University Libraries (Syracuse University). 1792–1799. 9 indexed citations
16.
Chen, Zhaofu, Jian Li, Xing Tan, et al.. (2010). On probing waveforms and adaptive receivers for active sonar. 3486. 1–10. 3 indexed citations
17.
He, Hao, Jian Li, & Petre Stoica. (2009). Spectral Analysis of Non-Uniformly Sampled Data: A New Approach Versus the Periodogram. 375–380. 7 indexed citations
18.
He, Hao, Petre Stoica, & Jian Li. (2009). On Aperiodic-Correlation Bounds. IEEE Signal Processing Letters. 17(3). 253–256. 37 indexed citations
19.
Stoica, Petre, Hao He, & Jian Li. (2009). New Algorithms for Designing Unimodular Sequences With Good Correlation Properties. IEEE Transactions on Signal Processing. 57(4). 1415–1425. 356 indexed citations breakdown →
20.
Roberts, William J., Hao He, Xing Tan, et al.. (2009). Probing waveform synthesis and receive filter design for active sensing systems. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7335. 73350H–73350H. 2 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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