Ruihan Hu

428 total citations
32 papers, 323 citations indexed

About

Ruihan Hu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Ruihan Hu has authored 32 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Ruihan Hu's work include Advanced Memory and Neural Computing (6 papers), Neural dynamics and brain function (5 papers) and Anomaly Detection Techniques and Applications (4 papers). Ruihan Hu is often cited by papers focused on Advanced Memory and Neural Computing (6 papers), Neural dynamics and brain function (5 papers) and Anomaly Detection Techniques and Applications (4 papers). Ruihan Hu collaborates with scholars based in China, Hong Kong and Russia. Ruihan Hu's co-authors include Zhi‐Ri Tang, Sheng Chang, Qijun Huang, Jin He, Hao Wang, Edmond Q. Wu, Yanhua Chen, Yisen Liu, Hao Wang and Limin Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Ruihan Hu

28 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruihan Hu China 12 119 88 65 42 32 32 323
Cătălin Daniel Căleanu Romania 11 59 0.5× 165 1.9× 29 0.4× 31 0.7× 36 1.1× 66 394
Emin Argun Oral Türkiye 11 104 0.9× 45 0.5× 69 1.1× 18 0.4× 13 0.4× 34 325
Zhongnian Li China 9 78 0.7× 63 0.7× 48 0.7× 20 0.5× 7 0.2× 52 301
Kurosh Madani France 10 122 1.0× 106 1.2× 34 0.5× 22 0.5× 11 0.3× 71 434
Katsuhiko Mori Japan 2 117 1.0× 205 2.3× 31 0.5× 31 0.7× 6 0.2× 5 448
Zhuwei Qin United States 8 146 1.2× 99 1.1× 40 0.6× 15 0.4× 4 0.1× 25 300
Priyadarsan Parida India 12 81 0.7× 159 1.8× 19 0.3× 34 0.8× 6 0.2× 49 362
Xiao Hu China 10 53 0.4× 244 2.8× 15 0.2× 45 1.1× 15 0.5× 33 389
Yepeng Guan China 13 83 0.7× 305 3.5× 35 0.5× 12 0.3× 11 0.3× 71 443

Countries citing papers authored by Ruihan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Ruihan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruihan Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Ruihan Hu. A scholar is included among the top collaborators of Ruihan Hu 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 Ruihan Hu. Ruihan Hu 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.
Hu, Ruihan, Li Fang, Yuanyuan Wang, et al.. (2025). Enlarged Blind Spot Linked to Gamma Zone and Peripapillary Hyperreflective Ovoid Mass-Like Structures in Non-Pathological Highly Myopic Eyes. Investigative Ophthalmology & Visual Science. 66(4). 5–5. 1 indexed citations
2.
Hu, Ruihan, et al.. (2024). Multimodal imaging of optic nerve head abnormalities in high myopia. Frontiers in Neurology. 15. 1366593–1366593. 3 indexed citations
3.
Hu, Ruihan, et al.. (2024). Device Selection and Resource Allocation With Semi-Supervised Method for Federated Edge Learning. IEEE Transactions on Mobile Computing. 24(4). 2740–2754.
4.
He, Xiang, et al.. (2024). GCPN: A Group Connected based Method for Continual Vertical Federated Recommender Systems in Data Ecosystems. abs/2211.12814. 35–44. 1 indexed citations
5.
Chen, Jiaqi, Xin Su, Jingyi Gong, & Ruihan Hu. (2023). Nonradiative infrared thermography detection based on artificial intelligence analysis replaces traditional CT detection. 9–9. 1 indexed citations
7.
Li, Xueying, et al.. (2022). Acute infectious purpura fulminans: case report of a medical emergency. SHILAP Revista de lepidopterología. 3(2). 84–87.
8.
Yang, Rui, et al.. (2022). Using an Improved Artificial Hummingbird Algorithm for Vision-Guided Optimization And Grasping of Multi-Objective Robots. Journal of Physics Conference Series. 2365(1). 12052–12052. 2 indexed citations
9.
Hu, Ruihan, et al.. (2022). RDC-SAL: Refine distance compensating with quantum scale-aware learning for crowd counting and localization. Applied Intelligence. 52(12). 14336–14348. 15 indexed citations
10.
Yang, Rui, et al.. (2021). Research on 5G related technologies under the new generation of information technology. Journal of Physics Conference Series. 1907(1). 12056–12056. 7 indexed citations
11.
Wu, Edmond Q., Zhi‐Ri Tang, Ruihan Hu, et al.. (2021). Flight Situation Recognition Under Different Weather Conditions. IEEE Transactions on Aerospace and Electronic Systems. 57(3). 1753–1767. 10 indexed citations
12.
Wu, Edmond Q., Limin Zhu, Hongjun Li, et al.. (2021). Nonparametric Hierarchical Hidden Semi-Markov Model for Brain Fatigue Behavior Detection of Pilots During Flight. IEEE Transactions on Intelligent Transportation Systems. 23(6). 5245–5256. 19 indexed citations
13.
Hu, Ruihan, Zhi Tang, Sheng Chang, et al.. (2020). DMMAN: A two-stage audio–visual fusion framework for sound separation and event localization. Neural Networks. 133. 229–239. 17 indexed citations
14.
Tang, Zhi‐Ri, Yanhua Chen, Ruihan Hu, et al.. (2020). Fully memristive spiking-neuron learning framework and its applications on pattern recognition and edge detection. Neurocomputing. 403. 80–87. 28 indexed citations
15.
Hu, Ruihan, et al.. (2020). Ensemble echo network with deep architecture for time-series modeling. Neural Computing and Applications. 33(10). 4997–5010. 18 indexed citations
16.
Tang, Zhi‐Ri, et al.. (2020). Non-spike timing-dependent plasticity learning mechanism for memristive neural networks. Applied Intelligence. 51(6). 3684–3695. 8 indexed citations
17.
Lv, Yawei, Zhi‐Ri Tang, Ruihan Hu, et al.. (2019). Wave-Function Symmetry Mechanism of Quantum-Well States in Graphene Nanoribbon Heterojunctions. Physical Review Applied. 12(4). 3 indexed citations
18.
Liu, Bing, et al.. (2019). Design of high-resolution quantization scheme with exp-Golomb code applied to compression of special images. Journal of Visual Communication and Image Representation. 65. 102684–102684. 5 indexed citations
19.
Lin, Peng, Ruihan Hu, Hao Wang, et al.. (2019). Acceleration of LSTM With Structured Pruning Method on FPGA. IEEE Access. 7. 62930–62937. 31 indexed citations
20.
Hu, Ruihan, Sheng Chang, Hao Wang, Jin He, & Qijun Huang. (2018). Efficient Multispike Learning for Spiking Neural Networks Using Probability-Modulated Timing Method. IEEE Transactions on Neural Networks and Learning Systems. 30(7). 1984–1997. 15 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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