Siyi Tang

1.1k total citations
20 papers, 381 citations indexed

About

Siyi Tang is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Siyi Tang has authored 20 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Cognitive Neuroscience. Recurrent topics in Siyi Tang's work include Machine Learning in Healthcare (6 papers), COVID-19 diagnosis using AI (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Siyi Tang is often cited by papers focused on Machine Learning in Healthcare (6 papers), COVID-19 diagnosis using AI (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Siyi Tang collaborates with scholars based in United States, Singapore and United Kingdom. Siyi Tang's co-authors include B.T. Thomas Yeo, Nanbo Sun, Russell A. Poldrack, Ru Kong, Valeria Kebets, Jingwei Li, Avram J. Holmes, Csaba Orbán, Xiuming Zhang and Adriana Di Martino and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Siyi Tang

18 papers receiving 378 citations

Peers

Siyi Tang
Weizheng Yan United States
Andrés Hoyos-Idrobo France
Shuang Gao China
Nikhil Bhagwat Canada
Krishna Somandepalli United States
Fukuda Megumi United Kingdom
Amalia Guerrero‐Pedraza Spain
Sophia I. Thomopoulos United States
Rositsa Paunova Bulgaria
Weizheng Yan United States
Siyi Tang
Citations per year, relative to Siyi Tang Siyi Tang (= 1×) peers Weizheng Yan

Countries citing papers authored by Siyi Tang

Since Specialization
Citations

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

Fields of papers citing papers by Siyi Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siyi Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Siyi Tang. A scholar is included among the top collaborators of Siyi Tang 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 Siyi Tang. Siyi Tang 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
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Xu, Anan, Gang Shen, Siyi Tang, et al.. (2025). Fluorinated albumin nanocages dually target CAFs and tumor cells to potentiate bladder cancer chemoimmunotherapy. Journal of Controlled Release. 387. 114246–114246.
3.
Ding, Chien‐Kuang Cornelia, Kevin Shee, Janet E. Cowan, et al.. (2025). External validation of a pathology-based multimodal artificial intelligence biomarker for predicting prostate cancer outcomes after prostatectomy.. Journal of Clinical Oncology. 43(16_suppl). 5106–5106.
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Saab, Khaled, et al.. (2024). Towards trustworthy seizure onset detection using workflow notes. npj Digital Medicine. 7(1). 42–42. 5 indexed citations
6.
Liao, Zhiqiang, et al.. (2024). Topologically Defective Lattice Potential‐Based Gain‐Dissipative Ising Annealer with Large Noise Margin. SHILAP Revista de lepidopterología. 3(7). 1 indexed citations
7.
Razeghi, Orod, Mahmood Alhusseini, Muhammad Fazal, et al.. (2023). Atrial fibrillation ablation outcome prediction with a machine learning fusion framework incorporating cardiac computed tomography. Journal of Cardiovascular Electrophysiology. 34(5). 1164–1174. 17 indexed citations
8.
Tang, Siyi, Amara Tariq, Jared Dunnmon, et al.. (2023). Predicting 30-day all-cause hospital readmission using multimodal spatiotemporal graph neural networks. IEEE Journal of Biomedical and Health Informatics. 27(4). 1–12. 17 indexed citations
9.
Tariq, Amara, Siyi Tang, Leo Anthony Celi, et al.. (2023). Fusion of imaging and non-imaging data for disease trajectory prediction for coronavirus disease 2019 patients. Journal of Medical Imaging. 10(3). 34004–34004. 1 indexed citations
10.
Tariq, Amara, Siyi Tang, Leo Anthony Celi, et al.. (2023). Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction. 1–4. 1 indexed citations
11.
Tang, Siyi, Orod Razeghi, Mahmood Alhusseini, et al.. (2022). Machine Learning–Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation Outcomes. Circulation Arrhythmia and Electrophysiology. 15(8). e010850–e010850. 45 indexed citations
12.
Tariq, Amara, Siyi Tang, Leo Anthony Celi, et al.. (2022). Graph-based Fusion Modeling and Explanation forDisease Trajectory Prediction.. PubMed. 2022. 1052–1061. 3 indexed citations
13.
Agarwal, Khushbu, Sutanay Choudhury, Pritam Mukherjee, et al.. (2022). Preparing for the next pandemic via transfer learning from existing diseases with hierarchical multi-modal BERT: a study on COVID-19 outcome prediction. Scientific Reports. 12(1). 10748–10748. 12 indexed citations
14.
Tang, Siyi, Orod Razeghi, Mahmood Alhusseini, et al.. (2022). DH-575-01 MACHINE LEARNING-ENABLED MULTIMODAL FUSION OF INTRA-ATRIAL AND BODY SURFACE SIGNALS IN PREDICTION OF ATRIAL FIBRILLATION ABLATION OUTCOMES. Heart Rhythm. 19(5). S20–S21. 1 indexed citations
15.
Tang, Siyi, Cheng Yang, Yu Dai, et al.. (2021). Preparation of High Strength and Toughness Aramid Fiber by Introducing Flexible Asymmetric Monomer to Construct Misplaced‐Nunchaku Structure. Macromolecular Materials and Engineering. 306(8). 3 indexed citations
16.
Dunnmon, Jared, et al.. (2020). Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset. Journal of Biomedical Informatics. 113. 103656–103656. 11 indexed citations
17.
Zhang, Xiao, Wenzhong Li, Haochao Ying, et al.. (2020). Emotion Detection in Online Social Networks: A Multilabel Learning Approach. IEEE Internet of Things Journal. 7(9). 8133–8143. 28 indexed citations
18.
Tang, Siyi, Nanbo Sun, Dorothea L. Floris, et al.. (2019). Reconciling Dimensional and Categorical Models of Autism Heterogeneity: A Brain Connectomics and Behavioral Study. Biological Psychiatry. 87(12). 1071–1082. 75 indexed citations
19.
Kebets, Valeria, Avram J. Holmes, Csaba Orbán, et al.. (2019). Somatosensory-Motor Dysconnectivity Spans Multiple Transdiagnostic Dimensions of Psychopathology. Biological Psychiatry. 86(10). 779–791. 152 indexed citations
20.

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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