Huan Huo

971 total citations
49 papers, 563 citations indexed

About

Huan Huo is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Huan Huo has authored 49 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Information Systems, 21 papers in Artificial Intelligence and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Huan Huo's work include Recommender Systems and Techniques (12 papers), Advanced Graph Neural Networks (8 papers) and Tensor decomposition and applications (5 papers). Huan Huo is often cited by papers focused on Recommender Systems and Techniques (12 papers), Advanced Graph Neural Networks (8 papers) and Tensor decomposition and applications (5 papers). Huan Huo collaborates with scholars based in Australia, China and Denmark. Huan Huo's co-authors include Yulei Sui, Guandong Xu, Tianqing Zhu, Jing Jiang, Guodong Long, Farookh Khadeer Hussain, Wanlei Zhou, Tao Zhang, Ping Xiong and Zahir Tari and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Huan Huo

41 papers receiving 535 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Huan Huo 265 220 90 84 55 49 563
Ruiqin Wang 212 0.8× 207 0.9× 85 0.9× 42 0.5× 31 0.6× 27 416
Reza Ravanmehr 124 0.5× 212 1.0× 64 0.7× 100 1.2× 43 0.8× 44 384
Shizhan Chen 196 0.7× 219 1.0× 49 0.5× 79 0.9× 25 0.5× 97 538
Óscar Sanjuán Martínez 157 0.6× 279 1.3× 106 1.2× 119 1.4× 23 0.4× 46 506
Panos Constantopoulos 263 1.0× 225 1.0× 63 0.7× 127 1.5× 114 2.1× 57 577
Haiyang Yu 511 1.9× 347 1.6× 105 1.2× 198 2.4× 60 1.1× 60 976
Richard J. Oentaryo 285 1.1× 277 1.3× 72 0.8× 74 0.9× 42 0.8× 31 647
Xinjun Mao 219 0.8× 181 0.8× 49 0.5× 168 2.0× 35 0.6× 118 510
Norita Md Norwawi 164 0.6× 195 0.9× 76 0.8× 86 1.0× 45 0.8× 86 551
Nadim Obeid 400 1.5× 182 0.8× 87 1.0× 51 0.6× 38 0.7× 61 651

Countries citing papers authored by Huan Huo

Since Specialization
Citations

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

Fields of papers citing papers by Huan Huo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huan Huo

This figure shows the co-authorship network connecting the top 25 collaborators of Huan Huo. A scholar is included among the top collaborators of Huan Huo 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 Huan Huo. Huan Huo 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.
Yang, Bo, et al.. (2025). Hypercomplex Knowledge Graph-Aware Recommendation. 2017–2026.
2.
Liu, Xiufeng, et al.. (2025). SpatialIE: Towards adaptive floating waste detection in unpredictable weather. Knowledge-Based Systems. 323. 113621–113621. 1 indexed citations
3.
Yang, Bo, et al.. (2025). Self-supervised dual graph learning for recommendation. Knowledge-Based Systems. 310. 112967–112967. 3 indexed citations
4.
Zhu, Tianqing, et al.. (2025). Vertical Federated Unlearning via Backdoor Certification. IEEE Transactions on Services Computing. 18(2). 1110–1123. 2 indexed citations
5.
Wang, Renfang, et al.. (2025). A hybrid governance framework for adaptive and sustainable urban energy management. Sustainable Cities and Society. 130. 106638–106638.
6.
Huo, Huan, et al.. (2024). Research on Multi-Modal Pedestrian Detection and Tracking Algorithm Based on Deep Learning. Future Internet. 16(6). 194–194. 1 indexed citations
7.
Li, Jianchun, et al.. (2024). An efficient federated learning framework for graph learning in hyperbolic space. Knowledge-Based Systems. 289. 111438–111438. 4 indexed citations
8.
Yang, Bo, et al.. (2024). Structure- and Logic-Aware Heterogeneous Graph Learning for Recommendation. 544–556. 6 indexed citations
10.
Matin, Abdul, Md Rafiqul Islam, Xianzhi Wang, & Huan Huo. (2024). Robust Multimodal Approach for Assembly Action Recognition. Procedia Computer Science. 246. 4916–4925. 3 indexed citations
11.
Ramezani, Fahimeh, et al.. (2024). HybOff: a Hybrid Offloading approach to improve load balancing in fog environments. Journal of Cloud Computing Advances Systems and Applications. 13(1). 2 indexed citations
12.
Matin, Abdul, Md Rafiqul Islam, Xianzhi Wang, Huan Huo, & Guandong Xu. (2023). AIoT for sustainable manufacturing: Overview, challenges, and opportunities. Internet of Things. 24. 100901–100901. 44 indexed citations
13.
Huo, Huan, et al.. (2023). T3SRS: Tensor Train Transformer for compressing sequential recommender systems. Expert Systems with Applications. 238. 122260–122260. 4 indexed citations
15.
Islam, Md Rafiqul, et al.. (2023). Explainable exclusion in the life insurance using multi-label classifier. 27. 1–8.
17.
Adhikari, Surabhi, Surendrabikram Thapa, Priyanka Singh, et al.. (2021). A Comparative Study of Machine Learning and NLP Techniques for Uses of Stop Words by Patients in Diagnosis of Alzheimer's Disease. 1–8. 12 indexed citations
18.
Zhao, Jianli, et al.. (2020). CSELM‐QE: A Composite Semi‐supervised Extreme Learning Machine with Unlabeled RSS Quality Estimation for Radio Map Construction. Chinese Journal of Electronics. 29(6). 1016–1024. 2 indexed citations
19.
Chen, Qingkui, et al.. (2011). Energy Efficient Clustering Algorithm for Data Gathering in Wireless Sensor Networks. Journal of Networks. 6(3). 14 indexed citations
20.
Huo, Huan, Guoren Wang, Chuan Yang, & Rui Zhou. (2005). Signature-based Filtering Techniques for Structural Joins of XML Data. Swinburne Research Bank (Swinburne University of Technology). 1274–1274. 1 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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