Hong Cheng

42 papers and 881 indexed citations i.

About

Hong Cheng is a scholar working on Artificial Intelligence, Neurology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hong Cheng has authored 42 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 8 papers in Neurology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hong Cheng’s work include Cryptography and Data Security (10 papers), Privacy-Preserving Technologies in Data (10 papers) and Brain Tumor Detection and Classification (8 papers). Hong Cheng is often cited by papers focused on Cryptography and Data Security (10 papers), Privacy-Preserving Technologies in Data (10 papers) and Brain Tumor Detection and Classification (8 papers). Hong Cheng collaborates with scholars based in China, United States and United Kingdom. Hong Cheng's co-authors include Shuihua Wang‎, Preetha Phillips, Ming Yang, Yuxiu Sui, Bin Liu, Yudong Zhang, Yurui Sun, Lutz Damerow, Michael Blanke and Jin Hong and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and Journal of Alzheimer s Disease.

In The Last Decade

Co-authorship network of co-authors of Hong Cheng i

Fields of papers citing papers by Hong Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hong Cheng

Since Specialization
Citations

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