Hao Liang

854 total citations
17 papers, 175 citations indexed

About

Hao Liang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Hao Liang has authored 17 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Hao Liang's work include AI in cancer detection (3 papers), Advanced Neural Network Applications (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Hao Liang is often cited by papers focused on AI in cancer detection (3 papers), Advanced Neural Network Applications (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Hao Liang collaborates with scholars based in China, United States and Hong Kong. Hao Liang's co-authors include Gauri Joshi, Qinghua Liu, Jianyu Wang, H. Vincent Poor, Jianyu Wang, Aiping Qu, Lingna Chen, Zengyou He, Can Zhao and Zheng Chen and has published in prestigious journals such as IEEE Transactions on Signal Processing, Biomedical Signal Processing and Control and Data Mining and Knowledge Discovery.

In The Last Decade

Hao Liang

14 papers receiving 172 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao Liang China 8 109 37 30 27 18 17 175
Dragan Bošnački Netherlands 12 110 1.0× 24 0.6× 53 1.8× 29 1.1× 24 1.3× 46 355
Jüri Lember Estonia 6 114 1.0× 35 0.9× 20 0.7× 24 0.9× 3 0.2× 27 207
Ilija Bogunovic Switzerland 8 100 0.9× 22 0.6× 23 0.8× 20 0.7× 12 0.7× 19 182
Guojun Zhang China 6 167 1.5× 46 1.2× 20 0.7× 18 0.7× 69 3.8× 12 209
Manzil Zaheer United States 10 340 3.1× 82 2.2× 30 1.0× 26 1.0× 6 0.3× 23 397
Hongyang Zhang China 7 178 1.6× 56 1.5× 8 0.3× 14 0.5× 4 0.2× 29 227
Arjun Nitin Bhagoji United States 7 218 2.0× 29 0.8× 52 1.7× 16 0.6× 2 0.1× 18 249
El Houssine Bouyakhf Morocco 8 57 0.5× 87 2.4× 61 2.0× 16 0.6× 5 0.3× 52 188

Countries citing papers authored by Hao Liang

Since Specialization
Citations

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

Fields of papers citing papers by Hao Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Liang

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

All Works

17 of 17 papers shown
1.
Lu, Zhengyi, et al.. (2025). Fast-RF-Shimming: Accelerate RF shimming in 7T MRI using deep learning. PubMed. 3(3). 100166–100166.
2.
Liang, Yun, et al.. (2023). Live Pig-Weight Learning and Prediction Method Based on a Multilayer RBF Network. Agriculture. 13(2). 253–253. 14 indexed citations
3.
Zhang, Fuquan, Jing Shen, Shaobin Wang, et al.. (2022). Clinical target volume automatic segmentation based on lymph node stations for lung cancer with bulky lump lymph nodes. Thoracic Cancer. 13(20). 2897–2903. 5 indexed citations
4.
Hsu, Windsor, et al.. (2021). XFUSE: An Infrastructure for Running Filesystem Services in User Space.. USENIX Annual Technical Conference. 863–875.
5.
Liang, Hao, et al.. (2021). Graph Sampling with Fast Random Walker on HBM-enabled FPGA Accelerators. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 211–218. 9 indexed citations
6.
Wang, Jianyu, Qinghua Liu, Hao Liang, Gauri Joshi, & H. Vincent Poor. (2021). A Novel Framework for the Analysis and Design of Heterogeneous Federated Learning. IEEE Transactions on Signal Processing. 69. 5234–5249. 71 indexed citations
7.
Liang, Hao, et al.. (2021). A region-based convolutional network for nuclei detection and segmentation in microscopy images. Biomedical Signal Processing and Control. 71. 103276–103276. 18 indexed citations
8.
9.
Qu, Aiping, et al.. (2021). A Modified Convolutional Neural Network for Nuclei Classification in Histopathology Image. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2112–2119. 1 indexed citations
10.
Qu, Aiping, et al.. (2021). A Transformer-based Network for Pathology Image Classification. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2028–2034. 10 indexed citations
11.
Wang, Jianyu, Hao Liang, & Gauri Joshi. (2020). Overlap Local-SGD: An Algorithmic Approach to Hide Communication Delays in Distributed SGD. 8871–8875. 20 indexed citations
12.
He, Zengyou, et al.. (2020). Computing exact P-values for community detection. Data Mining and Knowledge Discovery. 34(3). 833–869. 8 indexed citations
13.
Zhao, Yong, et al.. (2020). Fast pedestrian detection method based on BING. The Journal of Engineering. 2020(13). 653–658. 1 indexed citations
14.
Xia, Lixue, et al.. (2019). PAI-FCNN: FPGA Based Inference System for Complex CNN Models. 107–114. 7 indexed citations
15.
He, Zengyou, Can Zhao, Hao Liang, Bo Xu, & Quan Zou. (2019). Protein Complexes Identification with Family-Wise Error Rate Control. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17(6). 2062–2073. 7 indexed citations
16.
Li, Yunfeng, Peijun Du, Zhaohui Xue, et al.. (2018). A method of rice information extraction based on Particle Swarm Optimization SVM algorithm. 396–400. 1 indexed citations
17.
Liang, Hao. (2013). A Possibilistic Data Association Based Algorithm for Multi-target Tracking. 158–162. 3 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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2026