Haiqiang Niu

944 total citations
44 papers, 695 citations indexed

About

Haiqiang Niu is a scholar working on Oceanography, Ocean Engineering and Signal Processing. According to data from OpenAlex, Haiqiang Niu has authored 44 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Oceanography, 25 papers in Ocean Engineering and 23 papers in Signal Processing. Recurrent topics in Haiqiang Niu's work include Underwater Acoustics Research (41 papers), Speech and Audio Processing (20 papers) and Underwater Vehicles and Communication Systems (19 papers). Haiqiang Niu is often cited by papers focused on Underwater Acoustics Research (41 papers), Speech and Audio Processing (20 papers) and Underwater Vehicles and Communication Systems (19 papers). Haiqiang Niu collaborates with scholars based in China and United States. Haiqiang Niu's co-authors include Peter Gerstoft, Emma Ozanich, Zhenglin Li, Yining Liu, Haibin Wang, Renhe Zhang, Mingda Liu, Mengyuan Wang, Xiaolei Li and Xu Ji and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and IEEE Journal of Oceanic Engineering.

In The Last Decade

Haiqiang Niu

40 papers receiving 665 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haiqiang Niu China 12 584 374 360 111 65 44 695
Emma Ozanich United States 9 350 0.6× 192 0.5× 233 0.6× 101 0.9× 30 0.5× 17 458
Kay L. Gemba United States 10 314 0.5× 174 0.5× 328 0.9× 39 0.4× 26 0.4× 37 508
Youngmin Choo South Korea 11 273 0.5× 188 0.5× 143 0.4× 35 0.3× 19 0.3× 46 419
Keunhwa Lee South Korea 10 281 0.5× 189 0.5× 93 0.3× 43 0.4× 42 0.6× 52 394
Alain Maguer Italy 12 291 0.5× 247 0.7× 57 0.2× 34 0.3× 62 1.0× 38 400
Paul Hursky United States 13 445 0.8× 488 1.3× 85 0.2× 61 0.5× 82 1.3× 41 632
Xu Ji China 12 281 0.5× 164 0.4× 254 0.7× 38 0.3× 8 0.1× 79 529
G.J. Dobeck United States 12 337 0.6× 228 0.6× 156 0.4× 26 0.2× 19 0.3× 33 511
Ilkka Karasalo Sweden 12 114 0.2× 99 0.3× 110 0.3× 57 0.5× 34 0.5× 42 431
Chris Capus United Kingdom 9 190 0.3× 118 0.3× 62 0.2× 61 0.5× 15 0.2× 21 375

Countries citing papers authored by Haiqiang Niu

Since Specialization
Citations

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

Fields of papers citing papers by Haiqiang Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiqiang Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Haiqiang Niu. A scholar is included among the top collaborators of Haiqiang Niu 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 Haiqiang Niu. Haiqiang Niu 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.
Tang, Junxia & Haiqiang Niu. (2025). Physics-informed neural network with pretraining optimization for ocean acoustic field prediction. The Journal of the Acoustical Society of America. 158(5). 3846–3860.
2.
Zhang, Wen, et al.. (2025). Bayesian Optimization-Tuned machine learning for underwater acoustic target localization. The Journal of the Acoustical Society of America. 158(5). 4070–4086.
3.
Niu, Haiqiang. (2024). Evaluation of data-driven neural operators in ocean acoustic propagation modeling. The Journal of the Acoustical Society of America. 155(3_Supplement). A44–A44.
4.
Liu, Yining, et al.. (2024). Gaussian processes with normal-mode-based kernels for matched field processing. Applied Acoustics. 220. 109954–109954. 5 indexed citations
5.
6.
Liu, Mingda, et al.. (2023). A Convolutional Neural Network Combining Classification and Regression for Source Localization in Shallow Water. Journal of Physics Conference Series. 2486(1). 12068–12068. 2 indexed citations
7.
Niu, Haiqiang, et al.. (2023). A feature-compressed multi-task learning U-Net for shallow-water source localization in the presence of internal waves. Applied Acoustics. 211. 109530–109530. 10 indexed citations
8.
Liu, Mingda, Haiqiang Niu, & Zhenglin Li. (2023). Implementation of Bartlett matched-field processing using interpretable complex convolutional neural network. SHILAP Revista de lepidopterología. 3(2). 26003–26003. 7 indexed citations
9.
Niu, Haiqiang, et al.. (2023). Source depth estimation based on Gaussian processes using a deep vertical line array. Applied Acoustics. 215. 109684–109684. 6 indexed citations
10.
Liu, Mingda, Haiqiang Niu, & Zhenglin Li. (2022). Feature visualizations in geoacoustic inversion using convolutional neural network. 304–304. 5 indexed citations
11.
Liu, Yining, Haiqiang Niu, Zhenglin Li, & Mengyuan Wang. (2021). Deep-learning source localization using autocorrelation functions from a single hydrophone in deep ocean. SHILAP Revista de lepidopterología. 1(3). 36002–36002. 22 indexed citations
12.
13.
Niu, Haiqiang, Peter Gerstoft, Emma Ozanich, et al.. (2020). Block sparse Bayesian learning for broadband mode extraction in shallow water from a vertical array. The Journal of the Acoustical Society of America. 147(6). 3729–3739. 33 indexed citations
14.
Ozanich, Emma, Peter Gerstoft, & Haiqiang Niu. (2020). A feedforward neural network for direction-of-arrival estimation. The Journal of the Acoustical Society of America. 147(3). 2035–2048. 99 indexed citations
15.
Liu, Yining, Haiqiang Niu, Zhenglin Li, & Mengyuan Wang. (2020). Source Localization Using Gradient Boosting Decision Tree with a Single Hydrophone in Deep Ocean. Global Oceans 2020: Singapore – U.S. Gulf Coast. 44. 1–5. 1 indexed citations
16.
Liu, Yining, Haiqiang Niu, & Zhenglin Li. (2020). A multi-task learning convolutional neural network for source localization in deep ocean. The Journal of the Acoustical Society of America. 148(2). 873–883. 53 indexed citations
17.
Niu, Haiqiang, et al.. (2018). Sequential Parameter Estimation Using Modal Dispersion Curves in Shallow Water. Chinese Physics Letters. 35(4). 44301–44301. 3 indexed citations
18.
Niu, Haiqiang, et al.. (2018). Big data based ocean acoustic source localization via deep learning. The Journal of the Acoustical Society of America. 144(3_Supplement). 1729–1730. 1 indexed citations
19.
Niu, Haiqiang & Peter Gerstoft. (2016). Source localization in underwater waveguides using machine learning. The Journal of the Acoustical Society of America. 140(4_Supplement). 3232–3232. 6 indexed citations
20.
Niu, Haiqiang, et al.. (2013). Bubble Pulse Cancelation in the Time-Frequency Domain Using Warping Operators. Chinese Physics Letters. 30(8). 84301–84301. 10 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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