Yibin Dong

408 total citations
5 papers, 46 citations indexed

About

Yibin Dong is a scholar working on Molecular Biology, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Yibin Dong has authored 5 papers receiving a total of 46 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Yibin Dong's work include Gene expression and cancer classification (4 papers), IoT and Edge/Fog Computing (1 paper) and Machine Learning in Bioinformatics (1 paper). Yibin Dong is often cited by papers focused on Gene expression and cancer classification (4 papers), IoT and Edge/Fog Computing (1 paper) and Machine Learning in Bioinformatics (1 paper). Yibin Dong collaborates with scholars based in United States. Yibin Dong's co-authors include Yue Wang, Eric P. Hoffman, Robert Clarke, Jianhua Xuan, Yuanjian Feng, Zuyi Wang, Marina Bakay, Javed Khan, Yiwen Chen and Yue Wang and has published in prestigious journals such as Bioinformatics, Heliyon and PubMed.

In The Last Decade

Yibin Dong

4 papers receiving 43 citations

Peers

Yibin Dong
Phoebe M. Roberts United States
Laura Adam United States
Alex D. Wade United States
M. Barros Portugal
Chimezie Ogbuji United States
Celia Siu Canada
Amir Niknejad United States
Zelalem Gero United States
Mikhail Karasikov Switzerland
Phoebe M. Roberts United States
Yibin Dong
Citations per year, relative to Yibin Dong Yibin Dong (= 1×) peers Phoebe M. Roberts

Countries citing papers authored by Yibin Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yibin Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yibin Dong

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

All Works

5 of 5 papers shown
1.
Dong, Yibin, Seong K. Mun, & Yue Wang. (2023). A blockchain-enabled sharing platform for personal health records. Heliyon. 9(7). e18061–e18061. 4 indexed citations
2.
Xuan, Jianhua, Yue Wang, Yibin Dong, et al.. (2007). Gene Selection for Multiclass Prediction by Weighted Fisher Criterion. PubMed. 2007. 1–15. 15 indexed citations
3.
Wang, Zuyi, Yue Wang, Jianhua Xuan, et al.. (2006). Optimized multilayer perceptrons for molecular classification and diagnosis using genomic data. Bioinformatics. 22(6). 755–761. 23 indexed citations
4.
5.
Xuan, Jianhua, Yibin Dong, Javed Khan, et al.. (2004). Robust feature selection by weighted Fisher criterion for multiclass prediction in gene expression profiling. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.. 286. 291–294 Vol.2. 4 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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