Jun Zhuang

1.1k total citations · 1 hit paper
18 papers, 838 citations indexed

About

Jun Zhuang is a scholar working on Artificial Intelligence, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jun Zhuang has authored 18 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jun Zhuang's work include Topic Modeling (3 papers), Adversarial Robustness in Machine Learning (3 papers) and Neuroscience and Neural Engineering (3 papers). Jun Zhuang is often cited by papers focused on Topic Modeling (3 papers), Adversarial Robustness in Machine Learning (3 papers) and Neuroscience and Neural Engineering (3 papers). Jun Zhuang collaborates with scholars based in United States, China and Australia. Jun Zhuang's co-authors include Weiting Chen, Wangxin Yu, Zhizhong Wang, Wilson Truccolo, Carlos E. Vargas-Irwin, John P. Donoghue, Gang Wang, Mohammad Al Hasan, Casey Kennington and H. K. Huang and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Annals of Operations Research and Medical Engineering & Physics.

In The Last Decade

Jun Zhuang

15 papers receiving 814 citations

Hit Papers

Measuring complexity using FuzzyEn, ApEn, and SampEn 2008 2026 2014 2020 2008 100 200 300 400 500
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. Measuring complexity using FuzzyEn, ApEn, and SampEn
    2008 573 citations Weiting Chen, Jun Zhuang et al. Medical Engineering & Physics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Zhuang United States 6 370 196 165 162 107 18 838
Bilal Fadlallah United States 6 234 0.6× 171 0.9× 97 0.6× 52 0.3× 84 0.8× 13 912
Rongrong Fu China 17 474 1.3× 192 1.0× 197 1.2× 79 0.5× 118 1.1× 67 1.1k
Fabio La Foresta Italy 18 743 2.0× 203 1.0× 306 1.9× 87 0.5× 115 1.1× 58 1.3k
Philippe Ravier France 14 166 0.4× 223 1.1× 99 0.6× 40 0.2× 88 0.8× 90 722
Domenico Labate Italy 9 369 1.0× 118 0.6× 174 1.1× 30 0.2× 55 0.5× 11 673
D. Narayana Dutt India 16 412 1.1× 150 0.8× 194 1.2× 33 0.2× 40 0.4× 64 829
Matthias Arnold Germany 14 1.2k 3.3× 64 0.3× 85 0.5× 241 1.5× 67 0.6× 41 1.6k
Hongxing Liu China 18 400 1.1× 143 0.7× 252 1.5× 70 0.4× 77 0.7× 94 958
Mosabber Uddin Ahmed Bangladesh 14 235 0.6× 158 0.8× 202 1.2× 18 0.1× 90 0.8× 32 855
Yalçın İşler Türkiye 16 345 0.9× 156 0.8× 355 2.2× 84 0.5× 64 0.6× 90 915

Countries citing papers authored by Jun Zhuang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Zhuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Zhuang

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

All Works

18 of 18 papers shown
1.
Jin, Xin, Yijun Tian, Han Liu, et al.. (2025). Deconstructing the ethics of large language models from long-standing issues to new-emerging dilemmas: a survey. AI and Ethics. 5(5). 4745–4771. 2 indexed citations
2.
3.
Zhuang, Jun & Casey Kennington. (2024). Understanding Survey Paper Taxonomy about Large Language Models via Graph Representation Learning. 58–69. 4 indexed citations
4.
Chen, Huaming, Jun Zhuang, Wei Jin, et al.. (2024). Trustworthy and Responsible AI for Information and Knowledge Management System. 5574–5576.
5.
Zhuang, Jun. (2024). Robust Data-centric Graph Structure Learning for Text Classification. 1486–1495. 1 indexed citations
6.
Zhuang, Jun & Mohammad Al Hasan. (2022). Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision. Proceedings of the AAAI Conference on Artificial Intelligence. 36(4). 4405–4413. 11 indexed citations
7.
Zhuang, Jun & Mohammad Al Hasan. (2022). How Does Bayesian Noisy Self-Supervision Defend Graph Convolutional Networks?. Neural Processing Letters. 54(4). 2997–3018. 5 indexed citations
8.
Zhuang, Jun, et al.. (2019). Lighter U-net for segmenting white matter hyperintensities in MR images. IUScholarWorks (Indiana University). 535–539. 1 indexed citations
9.
Zhuang, Jun. (2010). Motion detection research of elderly aging-in-place based on threeframe-differencing. Computer Engineering and Applications Journal.
10.
Zhuang, Jun, Wilson Truccolo, Carlos E. Vargas-Irwin, & John P. Donoghue. (2010). Decoding 3-D Reach and Grasp Kinematics From High-Frequency Local Field Potentials in Primate Primary Motor Cortex. IEEE Transactions on Biomedical Engineering. 57(7). 1774–1784. 135 indexed citations
11.
Zhuang, Jun, Wilson Truccolo, Carlos E. Vargas-Irwin, & John P. Donoghue. (2010). Reconstructing grasping motions from high-frequency local field potentials in primary motor cortex. PubMed. 3. 4347–4350. 9 indexed citations
12.
Zhuang, Jun, et al.. (2008). 3D hand gesture analysis based on multi-criterion in multi-camera system. 2342–2346. 5 indexed citations
13.
Chen, Weiting, Jun Zhuang, Wangxin Yu, & Zhizhong Wang. (2008). Measuring complexity using FuzzyEn, ApEn, and SampEn. Medical Engineering & Physics. 31(1). 61–68. 573 indexed citations breakdown →
14.
Wang, Gang, et al.. (2006). Classification of surface EMG signals using optimal wavelet packet method based on Davies-Bouldin criterion. Medical & Biological Engineering & Computing. 44(10). 865–872. 82 indexed citations
15.
Sun, Jianyong, Jianguo Zhang, Jun Zhuang, et al.. (2004). Developing an interactive teleradiology system for SARS diagnosis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5371. 133–133. 1 indexed citations
16.
Huang, H. K., et al.. (2003). Educational RIS/PACS simulator. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5033. 139–139. 5 indexed citations
17.
Zhang, Jianguo, et al.. (2002). <title>Automatic monitoring system for PACS management and operation</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4685. 348–355. 2 indexed citations
18.
Zhuang, Jun, et al.. (2001). <title>Design and implementation of picture archiving and communication system in Huadong Hospital</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4323. 73–82. 2 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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