Fan Dong

608 total citations
31 papers, 288 citations indexed

About

Fan Dong is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fan Dong has authored 31 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fan Dong's work include Computational Drug Discovery Methods (6 papers), Data Stream Mining Techniques (5 papers) and Machine Learning and Data Classification (4 papers). Fan Dong is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Data Stream Mining Techniques (5 papers) and Machine Learning and Data Classification (4 papers). Fan Dong collaborates with scholars based in United States, China and Australia. Fan Dong's co-authors include Huixiao Hong, Jie Liu, Wenjing Guo, Tucker A. Patterson, Jie Lü, Guangquan Zhang, Stephen C. Strother, Nathan W. Churchill, Babak Afshin‐Pour and Kan Li and has published in prestigious journals such as PLoS ONE, NeuroImage and International Journal of Molecular Sciences.

In The Last Decade

Fan Dong

27 papers receiving 282 citations

Peers

Countries citing papers authored by Fan Dong

Since Specialization

Citations

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

Fields of papers citing papers by Fan Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Fan Dong. A scholar is included among the top collaborators of Fan Dong 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 Fan Dong. Fan Dong 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	Multidimensional Haptic Perception and Quantification Method for Ophthalmic Surgery Training 2025 ·International Journal of Human-Computer Interaction ·Yang Gu, (unknown), (unknown), (unknown), Yiqiang Chen, Fan Dong, Weiwei Dai	0
2	DDIR: Domain-Disentangled Invariant Representation learning for tailored predictions 2025 ·Knowledge-Based Systems ·(unknown), Yang Gu, Xin Qin, (unknown), (unknown), Fan Dong, Yiqiang Chen	0
3	Analysis of Structures of SARS-CoV-2 Papain-like Protease Bound with Ligands Unveils Structural Features for Inhibiting the Enzyme 2025 ·Molecules ·(unknown), Jie Liu, (unknown), Wenjing Guo, Fan Dong, Tucker A. Patterson, Huixiao Hong	3
4	Pharmacovigilance in the digital age: gaining insight from social media data 2025 ·Experimental Biology and Medicine ·Fan Dong, Wenjing Guo, Jie Liu, Tucker A. Patterson, Huixiao Hong	2
5	Developing predictive models for µ opioid receptor binding using machine learning and deep learning techniques 2025 ·Experimental Biology and Medicine ·Jie Liu, (unknown), Zoe Li, Fan Dong, Wenjing Guo, Weigong Ge, Tucker A. Patterson, Huixiao Hong	1
6	Unlocking the potential of AI: Machine learning and deep learning models for predicting carcinogenicity of chemicals 2024 ·PubMed ·Wenjing Guo, Jie Liu, Fan Dong, Huixiao Hong	4
7	BERT-based language model for accurate drug adverse event extraction from social media: implementation, evaluation, and contributions to pharmacovigilance practices 2024 ·Frontiers in Public Health ·Fan Dong, Wenjing Guo, Jie Liu, Tucker A. Patterson, Huixiao Hong	7
8	Decoding the κ Opioid Receptor (KOR): Advancements in Structural Understanding and Implications for Opioid Analgesic Development 2024 ·Molecules ·Zoe Li, Ruili Huang, Menghang Xia, (unknown), Wenjing Guo, Jie Liu, Fan Dong, (unknown), (unknown), (unknown), Tucker A. Patterson, Huixiao Hong	0
9	EyeGraphGPT: Knowledge Graph Enhanced Multimodal Large Language Model for Ophthalmic Report Generation 2024 ·(unknown), Xinlong Jiang, (unknown), Fan Dong, Weiwei Dai, (unknown), Bingjie Yan, (unknown), (unknown), Teng Zhang, Yiqiang Chen	1
10	FewShotBP 2023 ·Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies ·(unknown), Yang Gu, (unknown), Fan Dong, Yiqiang Chen	5
11	Three-Dimensional Structural Insights Have Revealed the Distinct Binding Interactions of Agonists, Partial Agonists, and Antagonists with the µ Opioid Receptor 2023 ·International Journal of Molecular Sciences ·Zoe Li, Jie Liu, Fan Dong, (unknown), Ruili Huang, Menghang Xia, Tucker A. Patterson, Huixiao Hong	6
12	Deep Learning Models for Predicting Gas Adsorption Capacity of Nanomaterials 2022 ·Nanomaterials ·Wenjing Guo, Jie Liu, Fan Dong, Ru Chen, (unknown), Weigong Ge, Xiaoming Xu, Huixiao Hong	28
13	Machine learning models for rat multigeneration reproductive toxicity prediction 2022 ·Frontiers in Pharmacology ·Jie Liu, Wenjing Guo, Fan Dong, Jason Aungst, Suzanne Fitzpatrick, Tucker A. Patterson, Huixiao Hong	17
14	Resting state fMRI scanner instabilities revealed by longitudinal phantom scans in a multi-center study 2021 ·NeuroImage ·(unknown), Stephen R. Arnott, Nathan W. Churchill, Stefanie Hassel, (unknown), Fan Dong, Mojdeh Zamyadi, (unknown), Robert Bartha, Sandra E. Black, Jane M. Lawrence‐Dewar, Christopher J.M. Scott, Sean Symons, Andrew D. Davis, Geoffrey B. Hall, Jacqueline K. Harris, Nancy J. Lobaugh, Glenda MacQueen, (unknown), Stephen C. Strother	4
15	A Drift Region-Based Data Sample Filtering Method 2021 ·IEEE Transactions on Cybernetics ·Fan Dong, Jie Lü, Yiliao Song, Feng Liu, Guangquan Zhang	16
16	From Integration to Visualization of Multisite Brain Data on Brain-CODE 2016 ·Frontiers in Neuroinformatics ·Francis Jeanson, (unknown), Brendan Behan, (unknown), (unknown), (unknown), Fan Dong, (unknown), Moyez Dharsee, (unknown), (unknown), Chris McPhee	0
17	An Automated, Adaptive Framework for Optimizing Preprocessing Pipelines in Task-Based Functional MRI 2015 ·PLoS ONE ·Nathan W. Churchill, (unknown), Babak Afshin‐Pour, Fan Dong, Stephen C. Strother	50
18	Parallelization of elastic bunch graph matching (EBGM) algorithm for fast face recognition 2013 ·Aquila Digital Community (University of Southern Mississippi) ·Xianming Chen, Chaoyang Zhang, Fan Dong, Zhaoxian Zhou	6
19	Construction and management model of opening labs in universities 2009 ·Fan Dong	1
20	Bargaining games for material procurement in large-scale projects 2008 ·Fan Dong, Tiaojun Xiao, Danqin Yang	2

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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