Jason Dong

5.2k total citations
12 papers, 252 citations indexed

About

Jason Dong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Jason Dong has authored 12 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Neurology. Recurrent topics in Jason Dong's work include Brain Tumor Detection and Classification (2 papers), Advanced Neural Network Applications (2 papers) and Machine Learning and Data Classification (2 papers). Jason Dong is often cited by papers focused on Brain Tumor Detection and Classification (2 papers), Advanced Neural Network Applications (2 papers) and Machine Learning and Data Classification (2 papers). Jason Dong collaborates with scholars based in United States, China and Germany. Jason Dong's co-authors include Bingwei Lu, Zhihao Wu, Lin Yang, Wenhan Zhang, Alan Wu, M Snyder, Songjie Chen, Michael Z. Lin, Suzana Gispert and Shuangxi Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Experimental Gerontology.

In The Last Decade

Jason Dong

12 papers receiving 240 citations

Peers

Countries citing papers authored by Jason Dong

Since Specialization

Citations

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

Fields of papers citing papers by Jason Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Dong. A scholar is included among the top collaborators of Jason 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 Jason Dong. Jason 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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12 of 12 papers shown

#	Work	Indexed citations
1	Quality-control mechanisms targeting translationally stalled and C-terminally extended poly(GR) associated with ALS/FTD 2020 ·Proceedings of the National Academy of Sciences ·Shuangxi Li, Zhihao Wu, (unknown), Yu Li, Songjie Chen, Jason Dong, Steven E. Glynn, Hannes Vogel, M Snyder, Bingwei Lu	45
2	SuperCaptioning: Image Captioning Using Two-dimensional Word Embedding 2019 ·Knowledge Discovery and Data Mining ·(unknown), Lin Yang, Michael Z. Lin, (unknown), (unknown), Wenhan Zhang, Jason Dong	2
3	MISTERMINATE Mechanistically Links Mitochondrial Dysfunction with Proteostasis Failure 2019 ·Molecular Cell ·Zhihao Wu, (unknown), Junghyun Lim, Songjie Chen, Yu Li, Zoe H. Davis, Cole S. Sitron, Jason Dong, Suzana Gispert, Georg Auburger, Onn Brandman, Xiaolin Bi, M Snyder, Bingwei Lu	65
4	SuperTML: Two-Dimensional Word Embedding and Transfer Learning Using ImageNet Pretrained CNN Models for the Classifications on Tabular Data 2019 ·(unknown), Lin Yang, Wenhan Zhang, Michael Z. Lin, (unknown), (unknown), Jason Dong	4
5	The identification of accurate and computationally efficient arrival time pick-up method for acoustic tomography 2019 ·Lu Zhang, Jason Dong, (unknown), (unknown), (unknown), (unknown), Didem Ozevin	3
6	SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data 2019 ·(unknown), Lin Yang, Wenhan Zhang, Michael Z. Lin, (unknown), (unknown), Jason Dong	31
7	Demonstration of Applications in Computer Vision and NLP on Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt 2019 ·(unknown), (unknown), Wenhan Zhang, (unknown), (unknown), Jason Dong, Michael Z. Lin	2
8	Grape skin extract improves muscle function and extends lifespan of a Drosophila model of Parkinson's disease through activation of mitophagy 2018 ·Experimental Gerontology ·Zhihao Wu, Alan Wu, Jason Dong, (unknown), Bingwei Lu	51
9	Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt for Mobile and Embedded Applications 2018 ·(unknown), Lin Yang, (unknown), Wenhan Zhang, Jason Dong, (unknown)	17
10	Super Characters: A Conversion from Sentiment Classification to Image Classification 2018 ·(unknown), Lin Yang, (unknown), Wenhan Zhang, Jason Dong, (unknown)	13
11	Strategies for Increased Integration of Online and In-Branch Services of Banks in Canada 2008 ·The Journal of Internet Banking and Commerce ·Jason Dong, Michael Bliemel	3
12	Automated Layer Decomposition for Additive/Subtractive Solid Freeform Fabrication 1999 ·Texas Digital Library (University of Texas) ·Yu‐Chi Chang, (unknown), (unknown), Jason Dong, (unknown), Fritz B. Prinz	16

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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