Hai Liu

1.9k total citations · 2 hit papers
44 papers, 1.3k citations indexed

About

Hai Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Hai Liu has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 6 papers in Information Systems. Recurrent topics in Hai Liu's work include Advanced Image Processing Techniques (7 papers), Topic Modeling (5 papers) and Advanced Graph Neural Networks (5 papers). Hai Liu is often cited by papers focused on Advanced Image Processing Techniques (7 papers), Topic Modeling (5 papers) and Advanced Graph Neural Networks (5 papers). Hai Liu collaborates with scholars based in China, Hong Kong and United States. Hai Liu's co-authors include Zhaoli Zhang, Sannyuya Liu, Luxin Yan, Houzhang Fang, Jiangbo Shu, Yi Chang, Duantengchuan Li, Shoulin Wei, Congming Shi and Jialei Liu and has published in prestigious journals such as Optics Express, Expert Systems with Applications and IEEE Transactions on Industrial Informatics.

In The Last Decade

Hai Liu

38 papers receiving 1.2k citations

Hit Papers

A quantitative discrimina... 2021 2026 2022 2024 2021 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hai Liu China 15 519 335 233 197 97 44 1.3k
Georgios Evangelidis Greece 18 537 1.0× 240 0.7× 169 0.7× 73 0.4× 76 0.8× 80 1.3k
Yi Chen China 22 612 1.2× 555 1.7× 304 1.3× 77 0.4× 167 1.7× 139 2.1k
Yunfeng Zhang China 22 773 1.5× 582 1.7× 72 0.3× 351 1.8× 153 1.6× 110 1.9k
Karthikeyan Natesan Ramamurthy United States 17 469 0.9× 667 2.0× 106 0.5× 101 0.5× 46 0.5× 102 1.7k
Samira Pouyanfar United States 15 510 1.0× 778 2.3× 161 0.7× 59 0.3× 119 1.2× 28 1.8k
Dymitr Ruta United Arab Emirates 16 324 0.6× 656 2.0× 244 1.0× 57 0.3× 74 0.8× 61 1.6k
Abdul Rehman Pakistan 26 1.1k 2.1× 209 0.6× 158 0.7× 385 2.0× 299 3.1× 99 2.1k
Muhammad Ahmad Pakistan 27 623 1.2× 487 1.5× 157 0.7× 1.0k 5.2× 67 0.7× 99 2.4k
Liang He China 23 575 1.1× 1.2k 3.7× 371 1.6× 43 0.2× 50 0.5× 193 2.2k

Countries citing papers authored by Hai Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hai Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Liu. A scholar is included among the top collaborators of Hai Liu 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 Hai Liu. Hai Liu 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.
Deng, Yongjian, et al.. (2025). Neuromorphic event-based recognition boosted by motion-aware learning. Neurocomputing. 630. 129678–129678.
2.
Zhang, Zhaoli, et al.. (2025). Exploring peer facilitation and critical thinking in asynchronous online discussions: A lag sequential analysis approach. British Journal of Educational Technology. 56(6). 2453–2477.
3.
Zhang, Zhaoli, et al.. (2025). MHRN: A multi-perspective hierarchical relation network for knowledge graph embedding. Knowledge-Based Systems. 313. 113040–113040. 4 indexed citations
4.
Liu, Hai, Qiang Chen, Tingting Liu, et al.. (2025). SkeFormer: Skeletal Cues-Aware Bone Point Relationship Learning for Efficient FBIC via Transformers. IEEE Transactions on Multimedia. 28. 2145–2158.
6.
Zhang, Zhaoli, et al.. (2023). Learning knowledge graph embedding with multi-granularity relational augmentation network. Expert Systems with Applications. 233. 120953–120953. 29 indexed citations
7.
Liu, Xionghua, et al.. (2022). High-resolution facial expression image restoration via adaptive total variation regularization for classroom learning environment. Infrared Physics & Technology. 128. 104482–104482. 5 indexed citations
8.
Shi, Congming, et al.. (2021). A quantitative discriminant method of elbow point for the optimal number of clusters in clustering algorithm. EURASIP Journal on Wireless Communications and Networking. 2021(1). 215 indexed citations breakdown →
9.
Liu, Hai, et al.. (2021). On the effectiveness of dual discriminator weighted generative adversarial network. Journal of Electronic Imaging. 30(3). 4 indexed citations
10.
Wu, Xiaonan, Zengzhao Chen, & Hai Liu. (2021). Learning Delicate Pixel-Level Representations for Bottom-Up Human Pose Estimation. 80. 1–6. 2 indexed citations
11.
Liu, Hai, et al.. (2021). Learning knowledge graph embedding with a bi-directional relation encoding network and a convolutional autoencoder decoding network. Neural Computing and Applications. 33(17). 11157–11173. 4 indexed citations
12.
Zhang, Zhaoli, et al.. (2020). Identifying key factors affecting college students’ adoption of the e-learning system in mandatory blended learning environments. Interactive Learning Environments. 30(8). 1388–1401. 100 indexed citations
13.
Liu, Hai, et al.. (2020). Aggregating neighborhood information for negative sampling for knowledge graph embedding. Neural Computing and Applications. 32(23). 17637–17653. 5 indexed citations
14.
15.
Zhang, Zhaoli, Xingfang Zhang, Hai Liu, Jiangbo Shu, & Baolin Yi. (2017). An Adaptive Teaching Strategy for Blending Learning and Its Application. 43. 14–18.
16.
Zhang, Yatao, Chengyu Liu, Hai Liu, & Shoushui Wei. (2016). [Complexity Analysis of Physiological Signals Using Encoding Lempel-Ziv Algorithm].. PubMed. 33(6). 1176–82.
17.
Liu, Tingting, et al.. (2016). Robust blind deconvolution for PMMW images with sparsity presentation. 41. 1–5. 5 indexed citations
18.
Tang, Tao, Deliang Xiang, Hai Liu, & Yi Su. (2013). A new local feature extraction in SAR image. IEEE Asia-Pacific Conference on Synthetic Aperture Radar. 377–379. 4 indexed citations
19.
Chang, Yi, Houzhang Fang, Luxin Yan, & Hai Liu. (2013). Robust destriping method with unidirectional total variation and framelet regularization. Optics Express. 21(20). 23307–23307. 64 indexed citations
20.
Fang, Houzhang, et al.. (2011). Parametric blind deconvolution for passive millimeter wave images basing on image decomposition. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8002. 80021K–80021K. 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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