Jinghua Feng

About

Jinghua Feng is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Jinghua Feng has authored 5 papers receiving a total of 73 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Management Science and Operations Research. Recurrent topics in Jinghua Feng’s work include Imbalanced Data Classification Techniques (3 papers), Machine Learning and Data Classification (2 papers) and Advanced Graph Neural Networks (1 paper). Jinghua Feng is often cited by papers focused on Imbalanced Data Classification Techniques (3 papers), Machine Learning and Data Classification (2 papers) and Advanced Graph Neural Networks (1 paper). Jinghua Feng collaborates with scholars based in China. Jinghua Feng's co-authors include Jianfeng Chi, Xiang Ao, Hao Yang, Yang Liu, Kuan Li, Qing He, Hao Yang, Qing He, Ting Liang and Jiayu Tang and has published in prestigious journals such as 2021 IEEE International Conference on Data Mining (ICDM), Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval and Proceedings of the ACM Web Conference 2022.

In The Last Decade

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

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Fields of papers citing papers by Jinghua Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jinghua Feng

Since Specialization

Citations

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