Ru Huo

892 total citations · 1 hit paper
49 papers, 619 citations indexed

About

Ru Huo is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Ru Huo has authored 49 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 17 papers in Information Systems and 8 papers in Artificial Intelligence. Recurrent topics in Ru Huo's work include IoT and Edge/Fog Computing (13 papers), Blockchain Technology Applications and Security (11 papers) and Caching and Content Delivery (9 papers). Ru Huo is often cited by papers focused on IoT and Edge/Fog Computing (13 papers), Blockchain Technology Applications and Security (11 papers) and Caching and Content Delivery (9 papers). Ru Huo collaborates with scholars based in China, Netherlands and Canada. Ru Huo's co-authors include Tao Huang, L.M.C. Buydens, Yunjie Liu, Ron Wehrens, F. Richard Yu, Shuo Wang, Wei Chen, John van Duynhoven, Shuo Wang and Jiang Liu and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, Expert Systems with Applications and IEEE Access.

In The Last Decade

Ru Huo

47 papers receiving 605 citations

Hit Papers

A Comprehensive Survey on Blockchain in Industrial Intern... 2022 2026 2023 2024 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Comprehensive Survey on Blockchain in Industrial Internet of Things: Motivations, Research Progresses, and Future Challenges
    2022 164 citations Ru Huo, Wei Chen et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ru Huo China 12 278 186 99 92 78 49 619
Adam Belloum Netherlands 17 504 1.8× 346 1.9× 4 0.0× 37 0.4× 33 0.4× 105 874
Michael De Rosa United States 15 510 1.8× 96 0.5× 5 0.1× 140 1.5× 41 0.5× 62 1.1k
Deyu Tang China 16 118 0.4× 35 0.2× 6 0.1× 78 0.8× 7 0.1× 49 703
Jong Youl Choi United States 13 343 1.2× 120 0.6× 11 0.1× 127 1.4× 6 0.1× 67 644
Martín Ugarte Belgium 10 220 0.8× 146 0.8× 7 0.1× 25 0.3× 5 0.1× 20 435
Yingbo Liu China 11 132 0.5× 255 1.4× 115 1.3× 35 0.4× 31 1.1k
Wilfried N. Gansterer Austria 14 390 1.4× 115 0.6× 182 2.0× 12 0.2× 64 830

Countries citing papers authored by Ru Huo

Since Specialization
Citations

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

Fields of papers citing papers by Ru Huo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ru Huo

This figure shows the co-authorship network connecting the top 25 collaborators of Ru Huo. A scholar is included among the top collaborators of Ru 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 Ru Huo. Ru 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, Zhiwei, et al.. (2025). The Imitation Game revisited: A comprehensive survey on recent advances in AI-generated text detection. Expert Systems with Applications. 272. 126694–126694. 2 indexed citations
2.
Chen, Wei, et al.. (2024). Efficient and Non-Repudiable Data Trading Scheme Based on State Channels and Stackelberg Game. IEEE Transactions on Mobile Computing. 23(12). 13522–13538. 1 indexed citations
3.
Huo, Ru, et al.. (2024). A Cluster-Based Data Transmission Strategy for Blockchain Network in the Industrial Internet of Things. IEEE Transactions on Network and Service Management. 23. 940–951. 3 indexed citations
4.
Chen, Wei, Ru Huo, Shuo Wang, & Tao Huang. (2024). A Secure and Efficient State Channels-Based Network Service Business Settlement Scheme. 1–6.
5.
Huo, Ru, et al.. (2023). A Task-Oriented Hybrid Routing Approach based on Deep Deterministic Policy Gradient. Computer Communications. 210. 183–193. 2 indexed citations
6.
Ren, Shunqing, et al.. (2023). Integral precession calibration method of PIGA on linear vibration table. Chinese Journal of Aeronautics. 37(3). 219–236. 1 indexed citations
7.
Chen, Wei, et al.. (2023). SCRT: A Secure and Efficient State-Channel-Based Resource Trading Scheme for Internet of Things. IEEE Internet of Things Journal. 10(11). 10038–10051. 5 indexed citations
8.
9.
Huo, Ru, et al.. (2023). FIBFT: An Improved Byzantine Consensus Mechanism for Edge Computing. 42. 1–6. 1 indexed citations
10.
Du, Lei, et al.. (2022). Adaptive Resource Allocation of Vehicles under Dynamic Environment. Wireless Communications and Mobile Computing. 2022(1). 1 indexed citations
11.
Huo, Ru, et al.. (2022). A Blockchain-Enabled Trusted Identifier Co-Governance Architecture for the Industrial Internet of Things. IEEE Communications Magazine. 60(6). 66–72. 8 indexed citations
12.
Zhang, Siyang, et al.. (2021). Label Propagation Algorithm Joint Multilayer Neighborhood Overlap and Historic Label Similarity for Community Detection. IEEE Systems Journal. 16(2). 2626–2634. 3 indexed citations
13.
Ren, Shunqing, et al.. (2020). Sequential Calibration Method of Nonlinear Errors of PIGA on Counter-Rotating Platform Centrifuge. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 11 indexed citations
14.
Wang, Shuo, et al.. (2020). DeepAalo: Auto-adjusting Demotion Thresholds for Information-agnostic Coflow Scheduling. 1123–1128. 8 indexed citations
15.
Wang, Su, Dong Zhou, Wenjie Zhang, et al.. (2020). Large-Scale and Rapid Flow Size Estimation for Improving Flow Scheduling. 6 indexed citations
16.
Xue, Ning, et al.. (2019). Tasks Offloading and Resource Scheduling Algorithm Based on Deep Reinforcement Learning in MEC. Beijing Youdian Xueyuan xuebao. 42(6). 64. 1 indexed citations
17.
Liu, Jiang, et al.. (2019). Development trends and prospects of future networks. Scientia Sinica Informationis. 49(8). 941–948. 5 indexed citations
18.
Chen, Tianjiao, Jiang Liu, Qinqin Tang, Tao Huang, & Ru Huo. (2019). Virtual Network Embedding Algorithm for Location-Based Identifier Allocation. IEEE Access. 7. 31159–31169. 7 indexed citations
19.
Huo, Ru, et al.. (2005). Real‐life applications of the MULVADO software package for processing DOSY NMR data. Magnetic Resonance in Chemistry. 44(2). 110–117. 14 indexed citations
20.
Huo, Ru, Ron Wehrens, & L.M.C. Buydens. (2004). Improved DOSY NMR data processing by data enhancement and combination of multivariate curve resolution with non-linear least square fitting. Journal of Magnetic Resonance. 169(2). 257–269. 43 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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