Jun Feng

55 papers and 875 indexed citations i.

About

Jun Feng is a scholar working on Environmental Engineering, Artificial Intelligence and Water Science and Technology. According to data from OpenAlex, Jun Feng has authored 55 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Environmental Engineering, 17 papers in Artificial Intelligence and 14 papers in Water Science and Technology. Recurrent topics in Jun Feng’s work include Hydrological Forecasting Using AI (17 papers), Hydrology and Watershed Management Studies (13 papers) and Flood Risk Assessment and Management (10 papers). Jun Feng is often cited by papers focused on Hydrological Forecasting Using AI (17 papers), Hydrology and Watershed Management Studies (13 papers) and Flood Risk Assessment and Management (10 papers). Jun Feng collaborates with scholars based in China, Japan and Malaysia. Jun Feng's co-authors include Yuelong Zhu, Yukai Ding, Pengcheng Zhang, Xiaoyan Zhu, Minlie Huang, Yirui Wu, Yang Yang, Zhao Li, Jiamin Lu and Shuming Jiao and has published in prestigious journals such as Journal of Hydrology, Optics Express and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Jun Feng i

Fields of papers citing papers by Jun Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Feng

Since Specialization
Citations

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