Shuhao Jiang

426 total citations
35 papers, 275 citations indexed

About

Shuhao Jiang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Shuhao Jiang has authored 35 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Shuhao Jiang's work include Advanced Neural Network Applications (8 papers), Recommender Systems and Techniques (6 papers) and Advanced Memory and Neural Computing (5 papers). Shuhao Jiang is often cited by papers focused on Advanced Neural Network Applications (8 papers), Recommender Systems and Techniques (6 papers) and Advanced Memory and Neural Computing (5 papers). Shuhao Jiang collaborates with scholars based in China, United States and Malaysia. Shuhao Jiang's co-authors include Xiaowei Li, Shijun Gong, Jiajun Li, Wenyan Lü, Guihai Yan, Peijun Zhao, Xin He, Yi Sun, Jinlin Song and Liyi Zhang and has published in prestigious journals such as IEEE Access, Information Sciences and IEEE Transactions on Computers.

In The Last Decade

Shuhao Jiang

28 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shuhao Jiang China	9	139	111	82	41	34	35	275
Zhenglun Kong United States	9	103 0.7×	89 0.8×	76 0.9×	15 0.4×	22 0.6×	32	250
Chien-Chin Huang Taiwan	6	82 0.6×	57 0.5×	85 1.0×	19 0.5×	57 1.7×	8	226
Po-Chun Liu Taiwan	9	39 0.3×	218 2.0×	91 1.1×	19 0.5×	59 1.7×	16	353
Yu Pu China	8	37 0.3×	60 0.5×	104 1.3×	25 0.6×	60 1.8×	18	292
S. Manoj Kumar India	11	62 0.4×	70 0.6×	62 0.8×	40 1.0×	23 0.7×	36	287
Seungwon Lee South Korea	7	54 0.4×	124 1.1×	38 0.5×	19 0.5×	95 2.8×	25	277
S. Vijayachitra India	10	67 0.5×	93 0.8×	70 0.9×	6 0.1×	6 0.2×	41	288
Fuxun Yu United States	9	140 1.0×	66 0.6×	143 1.7×	5 0.1×	16 0.5×	30	261
Kamyar Mirzazad Barijough United States	3	181 1.3×	105 0.9×	114 1.4×	34 0.8×	15 0.4×	6	348

Countries citing papers authored by Shuhao Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Shuhao Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuhao Jiang

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

All Works

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20 of 20 papers shown

Jiang, Shuhao, et al.. (2025). Improved Honey Badger Algorithm and Its Application to K-Means Clustering. Applied Sciences. 15(2). 718–718.

Jiang, Shuhao, et al.. (2024). A Hybrid News Recommendation Approach Based on Title–Content Matching. Mathematics. 12(13). 2125–2125.

Jiang, Shuhao, et al.. (2024). Enhanced Nutcracker Optimization Algorithm with Hyperbolic Sine–Cosine Improvement for UAV Path Planning. Biomimetics. 9(12). 757–757. 1 indexed citations

Jiang, Shuhao, et al.. (2024). News Recommendation Method Based on Candidate-Aware Long- and Short-Term Preference Modeling. Applied Sciences. 15(1). 300–300.

Li, Xinyue, et al.. (2023). Dynamic conditional score model-based weighted incremental fuzzy clustering of consumer power load data. Applied Soft Computing. 143. 110395–110395. 6 indexed citations

Wang, Fenghong, et al.. (2023). An Autonomous Navigation Strategy Based on Improved Hector SLAM With Dynamic Weighted A* Algorithm. IEEE Access. 11. 79553–79571. 7 indexed citations

Jiang, Shuhao, et al.. (2023). Multi-Strategy Improved Flamingo Search Algorithm for Global Optimization. Applied Sciences. 13(9). 5612–5612. 10 indexed citations

Wang, Jia, Shuhao Jiang, & Jincheng Ding. (2023). Online learning resource recommendation method based on multi-similarity metric optimization under the COVID-19 epidemic. Computer Communications. 206. 152–159. 7 indexed citations

Chen, Qi, et al.. (2023). An improved bicubic interpolation SLAM algorithm based on multi-sensor fusion method for rescue robot. International Journal of Sensor Networks. 42(2). 125–136. 3 indexed citations

10.

Jiang, Shuhao, et al.. (2023). CTransNet: Convolutional Neural Network Combined with Transformer for Medical Image Segmentation. Computing and Informatics. 42(2). 392–410. 1 indexed citations

11.

Li, Le, Shuhao Jiang, Mengmeng Zhao, et al.. (2022). Comparison of two internal fixation systems in lumbar spondylolysis by finite element methods. Computer Methods and Programs in Biomedicine. 218. 106713–106713. 11 indexed citations

12.

Jiang, Shuhao, et al.. (2022). K-means clustering algorithm based on improved flower pollination algorithm. Journal of Electronic Imaging. 32(3). 3 indexed citations

13.

Jiang, Shuhao, et al.. (2021). A Personalized Recommendation Algorithm Based on Weighted Information Entropy and Particle Swarm Optimization. Mobile Information Systems. 2021. 1–9. 6 indexed citations

14.

Li, Jiajun, et al.. (2019). SqueezeFlow: A Sparse CNN Accelerator Exploiting Concise Convolution Rules. IEEE Transactions on Computers. 68(11). 1663–1677. 35 indexed citations

15.

Jiang, Shuhao, et al.. (2019). High-quality face image generation based on generative adversarial networks. Journal of Visual Communication and Image Representation. 71. 102719–102719. 17 indexed citations

16.

Lü, Wenyan, Guihai Yan, Jiajun Li, et al.. (2018). Promoting the Harmony between Sparsity and Regularity: A Relaxed Synchronous Architecture for Convolutional Neural Networks. IEEE Transactions on Computers. 68(6). 867–881. 4 indexed citations

17.

Li, Jiajun, Guihai Yan, Wenyan Lü, et al.. (2018). SynergyFlow. ACM Transactions on Design Automation of Electronic Systems. 24(1). 1–27. 5 indexed citations

18.

Li, Jiajun, et al.. (2018). SmartShuttle: Optimizing off-chip memory accesses for deep learning accelerators. 71 indexed citations

19.

He, Xin, et al.. (2016). Exploiting the Potential of Computation Reuse Through Approximate Computing. 3(3). 152–165. 14 indexed citations

20.

Jiang, Shuhao. (2013). Relative Difference Function-based Traffic Safety Assessment of Tunnel Groups. Journal of Tongji University. 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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