Dong Tong

609 total citations
28 papers, 346 citations indexed

About

Dong Tong is a scholar working on Molecular Biology, Artificial Intelligence and Complementary and alternative medicine. According to data from OpenAlex, Dong Tong has authored 28 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Artificial Intelligence and 4 papers in Complementary and alternative medicine. Recurrent topics in Dong Tong's work include Gene expression and cancer classification (8 papers), Bioinformatics and Genomic Networks (5 papers) and Phytochemical and Pharmacological Studies (3 papers). Dong Tong is often cited by papers focused on Gene expression and cancer classification (8 papers), Bioinformatics and Genomic Networks (5 papers) and Phytochemical and Pharmacological Studies (3 papers). Dong Tong collaborates with scholars based in United Kingdom, China and Malaysia. Dong Tong's co-authors include Amanda C. Schierz, Graham Ball, Gopal Krishna Dhondalay, David J. Boocock, Christophe Lemetre, Karen E. Kempsell, Tamás Szakmány, Ximei Wu, Xianli Meng and Zhicheng Wei and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Dong Tong

25 papers receiving 339 citations

Peers

Dong Tong

CVPR

EPIDE

GENET

Yuan‐chin Ivan Chang Taiwan

Qiang Cao China

Hüseyin Demirci Türkiye

Haithem Taha Mohammad Ali Iraq

Alexandra Moraru Slovenia

Like Zhang China

Zheyuan Wang China

Wiesław Paja Poland

Zeqing Zhang China

Stefano Lodi Italy

Yuan‐chin Ivan Chang Taiwan

Dong Tong

108 ×0.9

137 ×1.4

26 ×0.9

CVPR

19 ×0.9

EPIDE

28 ×1.5

GENET

Citations per year, relative to Dong Tong Dong Tong (= 1×) peers Yuan‐chin Ivan Chang

Countries citing papers authored by Dong Tong

Since Specialization

Citations

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

Fields of papers citing papers by Dong Tong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Tong

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

20 of 20 papers shown

Tong, Dong, et al.. (2025). Comparative Analysis of Resampling Techniques for Class Imbalance in Financial Distress Prediction Using XGBoost. Mathematics. 13(13). 2186–2186.

Szakmány, Tamás, Harriet Garlant, Tony Whitehouse, et al.. (2024). The ‘analysis of gene expression and biomarkers for point-of-care decision support in Sepsis‘ study; temporal clinical parameter analysis and validation of early diagnostic biomarker signatures for severe inflammation andsepsis-SIRS discrimination. Frontiers in Immunology. 14. 1308530–1308530. 7 indexed citations

Tong, Dong, et al.. (2024). Exploring Random Forest Regression for Financial Distress Detection. 7–12.

Zhang, Yanchao, et al.. (2023). DOPS: A Practical Dual Offline Payment Scheme of CBDC for Mobile Devices. 1835–1844.

Tong, Dong, et al.. (2023). Optimizing Energy Consumption on Smart Home Task Scheduling using Particle Swarm Optimization. Procedia Computer Science. 220. 195–201. 6 indexed citations

Tang, Hong, et al.. (2021). PicToText: Text Recognition using Firebase Machine Learning Kit. 10. 1–5. 2 indexed citations

Tong, Dong, Karen E. Kempsell, Tamás Szakmány, & Graham Ball. (2020). Development of a Bioinformatics Framework for Identification and Validation of Genomic Biomarkers and Key Immunopathology Processes and Controllers in Infectious and Non-infectious Severe Inflammatory Response Syndrome. Frontiers in Immunology. 11. 380–380. 19 indexed citations

Tong, Dong, et al.. (2019). A review on current energy usage and potential of sustainable energy in Southeast Asia countries. 15(2). 14 indexed citations

Lai, Xianrong, Dong Tong, Xiaopeng Ai, et al.. (2018). Amelioration of diabetic nephropathy in db/db mice treated with tibetan medicine formula Siwei Jianghuang Decoction Powder extract. Scientific Reports. 8(1). 16707–16707. 22 indexed citations

10.

Wei, Zhicheng, et al.. (2017). [Action mechanism of total flavonoids of Hippophae rhamnoides in treatment of myocardial ischemia based on network pharmacology].. PubMed. 42(7). 1238–1244. 4 indexed citations

11.

Wei, Zhicheng, Fang Zuo, Wenqian Wang, et al.. (2017). Protective Effects of Total Flavones of Elaeagnus rhamnoides (L.) A. Nelson against Vascular Endothelial Injury in Blood Stasis Model Rats. Evidence-based Complementary and Alternative Medicine. 2017(1). 8142562–8142562. 5 indexed citations

12.

Zuo, Fang, Ting Wei, Dong Tong, et al.. (2017). [Pharmacodynamic mechanism of modified Ganlu Yaoyu San intreatment of rheumatoid arthritis based on MAPK signaling pathway].. PubMed. 42(7). 1245–1250. 1 indexed citations

13.

Tong, Dong, David J. Boocock, Gopal Krishna Dhondalay, Christophe Lemetre, & Graham Ball. (2014). Artificial Neural Network Inference (ANNI): A Study on Gene-Gene Interaction for Biomarkers in Childhood Sarcomas. PLoS ONE. 9(7). e102483–e102483. 27 indexed citations

14.

Tong, Dong & Graham Ball. (2014). Exploration of leukemia gene regulatory networks using a systems biology approach. 286. 68–73. 2 indexed citations

15.

Tong, Dong, David J. Boocock, Clare Coveney, et al.. (2011). A simpler method of preprocessing MALDI-TOF MS data for differential biomarker analysis: stem cell and melanoma cancer studies. Clinical Proteomics. 8(1). 14–14. 7 indexed citations

16.

Tong, Dong & Amanda C. Schierz. (2011). Hybrid genetic algorithm-neural network: Feature extraction for unpreprocessed microarray data. Artificial Intelligence in Medicine. 53(1). 47–56. 56 indexed citations

17.

Tong, Dong, et al.. (2010). The relationship between CAG repeat length polymorphism and infertility in Southern Chinese Han women. Journal of Endocrinological Investigation. 33(8). 559–563. 13 indexed citations

18.

Tong, Dong, et al.. (2010). Genetic Algorithm-Neural Network (GANN): a study of neural network activation functions and depth of genetic algorithm search applied to feature selection. International Journal of Machine Learning and Cybernetics. 1(1-4). 75–87. 103 indexed citations

19.

Tong, Dong. (2009). Hybridising Genetic Algorithm-Neural Network (GANN) in marker genes detection. 6. 1082–1087. 12 indexed citations

20.

Tong, Dong. (2007). Determination of Etimicin Using Ultraviolet Absorption Spectroscopy. 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.

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