Geng Ji

About

Geng Ji is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Geng Ji has authored 22 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Geng Ji’s work include Cryptography and Data Security (4 papers), Brain Tumor Detection and Classification (3 papers) and Advanced Neural Network Applications (3 papers). Geng Ji is often cited by papers focused on Cryptography and Data Security (4 papers), Brain Tumor Detection and Classification (3 papers) and Advanced Neural Network Applications (3 papers). Geng Ji collaborates with scholars based in China, United States and Israel. Geng Ji's co-authors include Zhiguang Qin, Jiangping Hu, Hong Zhu, Yi Ding, Zhen Qin, Hu Xiong, Fan Zhou, Ting Zhong, Yali Wang and Kim‐Kwang Raymond Choo and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Geng Ji i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Geng Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Geng Ji

Since Specialization

Citations

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

Explore authors with similar magnitude of impact