Dong Si

2.0k total citations
63 papers, 1.1k citations indexed

About

Dong Si is a scholar working on Molecular Biology, Structural Biology and Materials Chemistry. According to data from OpenAlex, Dong Si has authored 63 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 25 papers in Structural Biology and 20 papers in Materials Chemistry. Recurrent topics in Dong Si's work include Advanced Electron Microscopy Techniques and Applications (25 papers), Enzyme Structure and Function (16 papers) and Protein Structure and Dynamics (12 papers). Dong Si is often cited by papers focused on Advanced Electron Microscopy Techniques and Applications (25 papers), Enzyme Structure and Function (16 papers) and Protein Structure and Dynamics (12 papers). Dong Si collaborates with scholars based in United States, China and Türkiye. Dong Si's co-authors include Jing He, Jonas Pfab, Shuiwang Ji, Reza Hosseini Ghomi, Kamal Al Nasr, Cenk Demiroğlu, David C. Atkins, Renzhi Cao, Fengbin Wang and Edward H. Egelman and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Dong Si

58 papers receiving 1.1k citations

Peers

Countries citing papers authored by Dong Si

Since Specialization

Citations

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

Fields of papers citing papers by Dong Si

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Si

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	GOBoost: leveraging long-tail gene ontology terms for accurate protein function prediction 2025 ·Bioinformatics ·Lei Zhang, Yang Wang, Xiaohong Chen, Jie Hou, Dong Si, (unknown), Bo Jiang, (unknown), Renzhi Cao	0
2	Beyond current boundaries: Integrating deep learning and AlphaFold for enhanced protein structure prediction from low-resolution cryo-EM maps 2025 ·Computational Biology and Chemistry ·Xin Ma, Dong Si	0
3	Building Personality-Adaptive Conversational AI for Mental Health Therapy 2024 ·(unknown), (unknown), (unknown), (unknown), (unknown), Muhammad Aurangzeb Ahmad, Dong Si	0
4	Enhancing cryo-EM structure prediction with DeepTracer and AlphaFold2 integration 2024 ·Briefings in Bioinformatics ·(unknown), (unknown), Albert C. J. Luo, (unknown), Fengbin Wang, Jie Hou, Renzhi Cao, Dong Si	7
5	Assessing Empathy in Mental Health Caregivers using Conversational AI 2024 ·(unknown), (unknown), (unknown), (unknown), (unknown), Dong Si	0
6	ComplexQA: a deep graph learning approach for protein complex structure assessment 2023 ·Briefings in Bioinformatics ·Lei Zhang, Sheng Wang, Jie Hou, Dong Si, Junyong Zhu, Renzhi Cao	6
7	Fast and automated protein-DNA/RNA macromolecular complex modeling from cryo-EM maps 2023 ·Briefings in Bioinformatics ·(unknown), (unknown), Minglei Zhao, Fengbin Wang, Jie Hou, Renzhi Cao, Dong Si	14
8	Network pharmacology- and molecular docking-based investigation of the therapeutic potential and mechanism of daucosterol against multiple myeloma 2023 ·Translational Cancer Research ·(unknown), (unknown), Xiaoping Wang, (unknown), Dong Si, Huan Fu, Yujing Wei, Tingting Liu	3
9	DeepTracer-ID: De novo protein identification from cryo-EM maps 2022 ·Biophysical Journal ·(unknown), Fengbin Wang, (unknown), (unknown), Zhangli Su, Virginija Cvirkaitė‐Krupovič, Mart Krupovìč, Edward H. Egelman, Dong Si	29
10	Structure of Geobacter OmcZ filaments suggests extracellular cytochrome polymers evolved independently multiple times 2022 ·eLife ·Fengbin Wang, Chi Ho Chan, (unknown), (unknown), (unknown), Dong Si, Allon I. Hochbaum, Edward H. Egelman, Daniel R. Bond	39
11	Superiorization-inspired unrolled SART algorithm with U-Net generated perturbations for sparse-view and limited-angle CT reconstruction 2022 ·Physics in Medicine and Biology ·(unknown), (unknown), (unknown), (unknown), Dong Si, (unknown)	1
12	Neural representations of cryo-EM maps and a graph-based interpretation 2022 ·BMC Bioinformatics ·(unknown), Dong Si	4
13	Recent Progress of Machine Learning in Gene Therapy 2021 ·Current Gene Therapy ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Dong Si, Jie Hou, Hui Ding, Renzhi Cao	24
14	Structural insights into Ubr1-mediated N-degron polyubiquitination 2021 ·Nature ·Man Pan, Qingyun Zheng, Tian Wang, Lujun Liang, (unknown), Chong Zuo, (unknown), Huasong Ai, Yuan Xie, Dong Si, Yuanyuan Yu, Lei Liu, Minglei Zhao	86
15	DeepTracer for fast de novo cryo-EM protein structure modeling and special studies on CoV-related complexes 2020 ·Proceedings of the National Academy of Sciences ·Jonas Pfab, (unknown), Dong Si	120
16	Deep Learning to Predict Protein Backbone Structure from High-Resolution Cryo-EM Density Maps 2020 ·Scientific Reports ·Dong Si, (unknown), Jonas Pfab, Jie Hou, Renzhi Cao, Liguo Wang, Tianqi Wu, Jianlin Cheng	62
17	AngularQA: Protein Model Quality Assessment with LSTM Networks 2019 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Dong Si, (unknown), Renzhi Cao	29
18	Parkinson’s Disease Classification of mPower Walking Activity Participants 2018 ·PubMed ·(unknown), Reza Hosseini Ghomi, Dong Si	8
19	Deep convolutional neural networks for detecting secondary structures in protein density maps from cryo-electron microscopy 2016 ·PubMed ·Rongjian Li, Dong Si, Tao Zeng, Shuiwang Ji, Jing He	40
20	A Machine Learning Approach for the Identification of Protein Secondary Structure Elements from Electron Cryo‐Microscopy Density Maps 2012 ·Biopolymers ·Dong Si, Shuiwang Ji, Kamal Al Nasr, Jing He	72

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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