Dongren Yao

796 total citations
19 papers, 478 citations indexed

About

Dongren Yao is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Neurology. According to data from OpenAlex, Dongren Yao has authored 19 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 5 papers in Psychiatry and Mental health and 3 papers in Neurology. Recurrent topics in Dongren Yao's work include Functional Brain Connectivity Studies (11 papers), EEG and Brain-Computer Interfaces (5 papers) and Attention Deficit Hyperactivity Disorder (4 papers). Dongren Yao is often cited by papers focused on Functional Brain Connectivity Studies (11 papers), EEG and Brain-Computer Interfaces (5 papers) and Attention Deficit Hyperactivity Disorder (4 papers). Dongren Yao collaborates with scholars based in United States, China and South Korea. Dongren Yao's co-authors include Mingxia Liu, Dinggang Shen, Jing Sui, Mingliang Wang, Erkun Yang, Chunfeng Lian, Pew‐Thian Yap, Daoqiang Zhang, Vince D. Calhoun and Nan Wang and has published in prestigious journals such as Annals of Neurology, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

In The Last Decade

Dongren Yao

17 papers receiving 469 citations

Peers

Dongren Yao

RNMI

PMH

NEURO

Darya Chyzhyk Spain

Saman Sarraf Canada

Juntang Zhuang United States

Yassine Benhajali Canada

Tong He Singapore

Maite Termenón Spain

Nguyen Thanh Duc South Korea

Tae‐Eui Kam South Korea

Qiongling Li China

Darya Chyzhyk Spain

Dongren Yao

362 ×1.2

162 ×1.5

RNMI

61 ×0.5

PMH

148 ×1.4

83 ×1.2

NEURO

Citations per year, relative to Dongren Yao Dongren Yao (= 1×) peers Darya Chyzhyk

Countries citing papers authored by Dongren Yao

Since Specialization

Citations

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

Fields of papers citing papers by Dongren Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongren Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Dongren Yao. A scholar is included among the top collaborators of Dongren Yao 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 Dongren Yao. Dongren Yao 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:

19 of 19 papers shown

Simonyan, Kristina & Dongren Yao. (2025). DystoniaDBSNet: A novel deep learning biomarker of predictive treatment outcomes in dystonia. Brain stimulation. 18(1). 274–274. 1 indexed citations

Yao, Dongren, et al.. (2025). Applications of Artificial Intelligence in Neurological Voice Disorders. World Journal of Otorhinolaryngology - Head and Neck Surgery. 11(4). 491–517. 2 indexed citations

Yap, Pew‐Thian, Dongren Yao, Yeerfan Jiaerken, et al.. (2024). A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity. UNC Libraries.

Liu, Mingxia, Dinggang Shen, Daoqiang Zhang, et al.. (2024). Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network. UNC Libraries.

Luo, Na, Dongren Yao, Min Zhao, et al.. (2022). Aberrant brain dynamics and spectral power in children with ADHD and its subtypes. European Child & Adolescent Psychiatry. 32(11). 2223–2234. 23 indexed citations

Yao, Dongren, et al.. (2022). DystoniaBoTXNet: Novel Neural Network Biomarker of Botulinum Toxin Efficacy in Isolated Dystonia. Annals of Neurology. 93(3). 460–471. 5 indexed citations

Yang, Erkun, Dongren Yao, Tongliang Liu, & Cheng Deng. (2022). Mutual Quantization for Cross-Modal Search with Noisy Labels. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 7541–7550. 29 indexed citations

Zhi, Dongmei, Vince D. Calhoun, Chuanyue Wang, et al.. (2021). BNCPL: Brain-Network-based Convolutional Prototype Learning for Discriminating Depressive Disorders. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 106. 1622–1626. 2 indexed citations

Yao, Dongren, Jing Sui, Mingliang Wang, et al.. (2021). A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity. IEEE Transactions on Medical Imaging. 40(4). 1279–1289. 113 indexed citations

10.

Wang, Nan, Dongren Yao, Lizhuang Ma, & Mingxia Liu. (2021). Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI. Medical Image Analysis. 75. 102279–102279. 63 indexed citations

11.

Yao, Dongren, Qingjiu Cao, Lu Liu, et al.. (2020). Shared and distinct resting functional connectivity in children and adults with attention-deficit/hyperactivity disorder. Translational Psychiatry. 10(1). 65–65. 32 indexed citations

12.

Yao, Dongren, Jing Sui, Erkun Yang, et al.. (2020). Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI. Lecture notes in computer science. 12436. 1–10. 20 indexed citations

13.

Yang, Erkun, Dongren Yao, Bing Cao, et al.. (2020). Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search. Lecture notes in computer science. 12261. 191–201. 1 indexed citations

14.

Yang, Erkun, Mingxia Liu, Dongren Yao, et al.. (2020). Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval. IEEE Transactions on Medical Imaging. 40(2). 503–513. 15 indexed citations

15.

Yao, Dongren, et al.. (2019). ADHD Classification Within and Cross Cohort Using an Ensembled Feature Selection Framework. 1265–1269. 7 indexed citations

16.

Wang, Mingliang, Chunfeng Lian, Dongren Yao, et al.. (2019). Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network. IEEE Transactions on Biomedical Engineering. 67(8). 2241–2252. 109 indexed citations

17.

Yao, Dongren, Vince D. Calhoun, Zening Fu, Yuhui Du, & Jing Sui. (2018). An ensemble learning system for a 4-way classification of Alzheimer’s disease and mild cognitive impairment. Journal of Neuroscience Methods. 302. 75–81. 45 indexed citations

18.

Yao, Dongren, Lu Liu, Qingjiu Cao, et al.. (2018). Discriminating ADHD From Healthy Controls Using a Novel Feature Selection Method Based on Relative Importance and Ensemble Learning. PubMed. 2018. 4632–4635. 10 indexed citations

19.

Liu, Xia, et al.. (2015). On Balanced Sets in Scale-free Networks (Graphs). Acta Scientiarum Naturalium Universitatis Sunyatseni. 54(1). 19. 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.

Explore authors with similar magnitude of impact