Hong Ge

54 total papers · 1.9k total citations
20 papers, 966 citations indexed

About

Hong Ge is a scholar working on Artificial Intelligence, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Hong Ge has authored 20 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Hong Ge’s work include Bayesian Modeling and Causal Inference (3 papers), Bayesian Methods and Mixture Models (3 papers) and Heavy Metal Exposure and Toxicity (2 papers). Hong Ge is often cited by papers focused on Bayesian Modeling and Causal Inference (3 papers), Bayesian Methods and Mixture Models (3 papers) and Heavy Metal Exposure and Toxicity (2 papers). Hong Ge collaborates with scholars based in United Kingdom, China and United States. Hong Ge's co-authors include Francesco Iorio, Timothy Rittman, Julio Sáez-Rodríguez, Michael P. Menden, Jan Brauner, Jan Kulveit, Tamay Besiroglu, Yarin Gal, Joshua Teperowski Monrad and Tomáš Gavenčiak and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Hydrology.

Co-authorship network of co-authors of Hong Ge

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

Hong Ge

17 papers receiving 942 citations

Fields of papers citing papers by Hong Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hong Ge

Since Specialization
Citations

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

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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