Miao Chen

777 total citations · 1 hit paper
33 papers, 484 citations indexed

About

Miao Chen is a scholar working on Artificial Intelligence, Information Systems and Cognitive Neuroscience. According to data from OpenAlex, Miao Chen has authored 33 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Cognitive Neuroscience. Recurrent topics in Miao Chen's work include Advanced Neuroimaging Techniques and Applications (5 papers), Topic Modeling (4 papers) and Functional Brain Connectivity Studies (4 papers). Miao Chen is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (5 papers), Topic Modeling (4 papers) and Functional Brain Connectivity Studies (4 papers). Miao Chen collaborates with scholars based in China, United States and Russia. Miao Chen's co-authors include Tianran Zhang, Shijie Zhao, Qiuming Zhu, Zhengxin Chen, Don Matheson, Zhenyu Zhao, Hongbao Cao, Fuquan Zhang, Victor S. Lobanov and Ancha Baranova and has published in prestigious journals such as Psychophysiology, Medical Physics and Psychiatry Research.

In The Last Decade

Miao Chen

26 papers receiving 461 citations

Hit Papers

align trajectories

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.

Dandelion Optimizer: A nature-inspired metaheuristic algorithm for engineering applications

2022 325 citations Miao Chen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Miao Chen China	8	232	89	78	69	35	33	484
Kerstin Eder United Kingdom	12	123 0.5×	123 1.4×	40 0.5×	73 1.1×	48 1.4×	64	469
Gourab Ghosh Roy India	10	179 0.8×	147 1.7×	110 1.4×	60 0.9×	46 1.3×	14	514
Miroslav Kvaššay Slovakia	14	85 0.4×	62 0.7×	58 0.7×	53 0.8×	20 0.6×	81	471
Anna V. Kononova Netherlands	11	293 1.3×	44 0.5×	179 2.3×	38 0.6×	30 0.9×	50	493
Christian Moewes Germany	7	122 0.5×	35 0.4×	24 0.3×	62 0.9×	29 0.8×	15	379
Guojun Mao China	10	191 0.8×	21 0.2×	69 0.9×	28 0.4×	60 1.7×	42	407
R. Salomon Germany	8	150 0.6×	56 0.6×	80 1.0×	77 1.1×	94 2.7×	17	409
Changjun Zhou China	13	245 1.1×	46 0.5×	71 0.9×	49 0.7×	213 6.1×	68	664
Miao Liu China	15	156 0.7×	72 0.8×	66 0.8×	66 1.0×	217 6.2×	77	612

Countries citing papers authored by Miao Chen

Since Specialization

Citations

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

Fields of papers citing papers by Miao Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miao Chen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Fan, Jin, et al.. (2025). SSIM over MSE: A new perspective for video anomaly detection. Neural Networks. 185. 107115–107115. 1 indexed citations

2.

Li, Tongtong, Miao Chen, Qiang Lin, et al.. (2024). Automated Diagnosis of Major Depressive Disorder With Multi-Modal MRIs Based on Contrastive Learning: A Few-Shot Study. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 1566–1576. 3 indexed citations

3.

Chen, Miao & Zhenghui Zhao. (2024). Optimization of Deep Learning Models for Non-stationary Time Series Data. 1–5.

4.

Chen, Xinhui, Miao Chen, Qian Shen, et al.. (2024). Dysphagia Pattern in Early to Moderate Parkinson’s Disease Caused by Abnormal Pharyngeal Kinematic Function. Dysphagia. 39(5). 905–915. 1 indexed citations

5.

Li, Tongtong, et al.. (2024). Liver fibrosis automatic diagnosis utilizing dense‐fusion attention contrastive learning network. Medical Physics. 51(8). 5550–5562. 1 indexed citations

6.

Li, Tongtong, et al.. (2024). Evolutionary neural architecture search for automated MDD diagnosis using multimodal MRI imaging. iScience. 27(10). 111020–111020.

7.

Baranova, Ancha, Dongming Liu, Chenxin Xu, et al.. (2024). Antidepressants account for the causal effect of major depressive disorder on type 2 diabetes. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 136. 111164–111164. 11 indexed citations

8.

Shi, Xiangjun, Miao Chen, Hongmin Cai, et al.. (2024). Decreased structural pathways mediating functional connectivity in obstructive sleep apnea. Sleep Medicine. 116. 96–104. 4 indexed citations

9.

Chen, Miao, Qian Su, Tongtong Li, et al.. (2024). Rich Club Reorganization in Nurses Before and After the Onset of Occupational Burnout: A Longitudinal MRI Study. Journal of Magnetic Resonance Imaging. 60(5). 1918–1931.

10.

Wang, Yin, et al.. (2024). Age‐related differences of the time‐varying features in the brain functional connectivity and cognitive aging. Psychophysiology. 62(2). e14702–e14702.

11.

Zheng, Weihao, Yu Zhang, Junyu Wang, et al.. (2023). An attention-based multi-modal MRI fusion model for major depressive disorder diagnosis. Journal of Neural Engineering. 20(6). 66005–66005. 13 indexed citations

12.

Li, Jianfu, Qiang Wei, Miao Chen, et al.. (2022). A comparative study of pre-trained language models for named entity recognition in clinical trial eligibility criteria from multiple corpora. BMC Medical Informatics and Decision Making. 22(S3). 235–235. 24 indexed citations

13.

Chen, Miao, Xinjiang Lu, Tong Xu, et al.. (2022). Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach. 8199–8210. 4 indexed citations

14.

Chen, Miao, et al.. (2022). A Hybrid Approach to Similar Stock Recommender with Taxonomy and Behavior Data. 2022 IEEE International Conference on Big Data (Big Data). 2313–2316.

15.

Chen, Miao, et al.. (2020). Using Pre-trained Transformer Deep Learning Models to Identify Named Entities and Syntactic Relations for Clinical Protocol Analysis.. 3 indexed citations

16.

Chen, Miao, et al.. (2018). A Batched Multi-Armed Bandit Approach to News Headline Testing. 1966–1973. 3 indexed citations

17.

Chen, Miao, et al.. (2017). A Probabilistic, Mechanism-Indepedent Outlier Detection Method for Online Experimentation. 40. 640–647. 2 indexed citations

18.

Dai, Bin, et al.. (2015). Toward Enhanced Metadata Quality of Large-Scale Digital Libraries: Estimating Volume Time Range. 3 indexed citations

19.

Qin, Jian, Xiaozhong Liu, & Miao Chen. (2014). Ontology-Enabled Metadata Schema Generator: The Design Approach.

20.

Jensen, Scott A., et al.. (2012). Generalized representation and mapping for social-ecological data: Freeing data from the database. 104. 1–8. 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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