Shuhong Chen

2.1k total citations
96 papers, 1.3k citations indexed

About

Shuhong Chen is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Shuhong Chen has authored 96 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 13 papers in Computer Networks and Communications and 12 papers in Molecular Biology. Recurrent topics in Shuhong Chen's work include Privacy-Preserving Technologies in Data (10 papers), Topic Modeling (5 papers) and Speech Recognition and Synthesis (5 papers). Shuhong Chen is often cited by papers focused on Privacy-Preserving Technologies in Data (10 papers), Topic Modeling (5 papers) and Speech Recognition and Synthesis (5 papers). Shuhong Chen collaborates with scholars based in China, United States and Netherlands. Shuhong Chen's co-authors include Guojun Wang, Ivan Marsic, Yue Gu, Xinyu Li, Weijia Jia, Kangning Yang, Yan Peng, Zhong Tan, Mehdi Gheisari and Xiangang Kong and has published in prestigious journals such as Chemical Physics Letters, Electrochimica Acta and Frontiers in Microbiology.

In The Last Decade

Shuhong Chen

84 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuhong Chen China 22 375 145 145 139 133 96 1.3k
Salem A. Alyami Saudi Arabia 23 428 1.1× 183 1.3× 255 1.8× 68 0.5× 126 0.9× 92 1.9k
Yogesh Kumar India 27 683 1.8× 272 1.9× 332 2.3× 67 0.5× 147 1.1× 130 2.0k
Babita Pandey India 21 384 1.0× 120 0.8× 144 1.0× 38 0.3× 116 0.9× 87 1.2k
Prashant Kumar Shukla India 26 573 1.5× 254 1.8× 272 1.9× 29 0.2× 131 1.0× 91 2.4k
Muhammad Usman Ashraf Pakistan 24 527 1.4× 256 1.8× 209 1.4× 131 0.9× 104 0.8× 146 1.8k
Mohammed A. Al Ghamdi Saudi Arabia 22 377 1.0× 335 2.3× 355 2.4× 67 0.5× 104 0.8× 102 1.8k
Chenxu Wang China 16 324 0.9× 275 1.9× 59 0.4× 37 0.3× 82 0.6× 88 829
Shang‐Ming Zhou United Kingdom 26 803 2.1× 67 0.5× 103 0.7× 50 0.4× 152 1.1× 95 1.9k
Isaac Martín de Diego Spain 17 344 0.9× 100 0.7× 271 1.9× 102 0.7× 169 1.3× 102 1.2k
Jing Xiao China 24 1.0k 2.7× 47 0.3× 249 1.7× 94 0.7× 288 2.2× 188 2.0k

Countries citing papers authored by Shuhong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shuhong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuhong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shuhong Chen. A scholar is included among the top collaborators of Shuhong Chen 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 Shuhong Chen. Shuhong Chen 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.
Jiang, Qipeng, Meng Yang, Chunhua Weng, et al.. (2025). Tobacco black shank disease significantly affects the composition and assembly of the genotype-associated microbial community in the rhizosphere. Applied Soil Ecology. 209. 106039–106039.
2.
Wu, Xudong, Tamar Segal‐Peretz, Shuhong Chen, et al.. (2025). Enhancing Dielectric Properties of Poly(ether imide) Composites through Vapor Phase Infiltration of PMMA/AlOx Hybrid Fibers. ACS Applied Engineering Materials. 3(8). 2504–2512. 1 indexed citations
3.
Chen, Shuhong, et al.. (2025). DSLL-Face: Distributed Supervision-Integrated Framework for Low-Light Face Detection. IEEE Transactions on Multimedia. 27. 6922–6932.
4.
Jiang, Qipeng, Yong Wang, Jinfeng Wang, et al.. (2024). Using fungal–bacterial community analysis to explore potential microbiomes to manage Meloidogyne incongnita. Frontiers in Microbiology. 15. 1415700–1415700.
6.
Chen, Shuhong, et al.. (2024). Characterization and mechanism investigation of salt-activated methionine sulfoxide reductase A from halophiles. iScience. 27(9). 110806–110806. 1 indexed citations
7.
Wang, Zijia, Qiang Yang, Yuhui Zhang, Shuhong Chen, & Yuan‐Gen Wang. (2023). Superiority combination learning distributed particle swarm optimization for large-scale optimization. Applied Soft Computing. 136. 110101–110101. 16 indexed citations
8.
Wang, Wenhua, et al.. (2023). Privacy-Enhanced Cooperative Storage Scheme for Contact-Free Sensory Data in AIoT with Efficient Synchronization. ACM Transactions on Sensor Networks. 20(4). 1–19. 3 indexed citations
9.
Sun, Xiaoyu, Shuhong Chen, Tong Wu, et al.. (2023). OTUD6A in tubular epithelial cells mediates angiotensin II-induced kidney injury by targeting STAT3. American Journal of Physiology-Cell Physiology. 326(2). C400–C413. 6 indexed citations
10.
Qi, Fang, Yuxiang Wang, Zhe Tang, & Shuhong Chen. (2023). Real-time and effective detection of agricultural pest using an improved YOLOv5 network. Journal of Real-Time Image Processing. 20(2). 28 indexed citations
11.
Yang, Jiawei, et al.. (2023). GFL-ALDPA: a gradient compression federated learning framework based on adaptive local differential privacy budget allocation. Multimedia Tools and Applications. 83(9). 26349–26368. 10 indexed citations
12.
Chen, Shuhong, et al.. (2023). A new federated learning-based wireless communication and client scheduling solution for combating COVID-19. Computer Communications. 206. 101–109. 8 indexed citations
13.
Gu, Yue, et al.. (2020). Residual Recurrent Neural Network for Speech Enhancement. PubMed. 2020. 6659–6663. 15 indexed citations
14.
Xu, Jun, Yong Zhang, Xiang Zhao, et al.. (2020). A Reemergent Case of COVID-19 — Harbin City, Heilongjiang Province, China, April 9, 2020. China CDC Weekly. 2(25). 460–462. 7 indexed citations
15.
Yang, Sen, et al.. (2018). An approach to automatic process deviation detection in a time-critical clinical process. Journal of Biomedical Informatics. 85. 155–167. 15 indexed citations
16.
Li, Xinyu, Yanyi Zhang, Jianyu Zhang, et al.. (2017). Process Progress Estimation and Phase Detection.. arXiv (Cornell University). 1 indexed citations
17.
Wang, Maoqing, et al.. (2015). A urinary metabonomics analysis of long-term effect of acetochlor exposure on rats by ultra-performance liquid chromatography/mass spectrometry. Pesticide Biochemistry and Physiology. 128. 82–88. 37 indexed citations
18.
Chen, Shuhong, et al.. (2012). Research on Group-based C2C E-commerce Trust Model. Jisuanji gongcheng. 38(23). 146–149. 2 indexed citations
19.
Chen, Shuhong, Wei Li, & Qi Shen. (2010). Effect of evaluation on the over-weight or obesity personnel of middle-aged and the elderly community group by comprehensive intervention. Zhonghua xiandai huli zazhi. 16(17). 2029–2031. 1 indexed citations
20.
Chen, Shuhong. (2006). Molecular Characterization of UL6 Gene of Duck Enteritis Virus. 6 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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