Hong-Han Shuai

About

Hong-Han Shuai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Hong-Han Shuai has authored 87 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 36 papers in Artificial Intelligence and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in Hong-Han Shuai’s work include Generative Adversarial Networks and Image Synthesis (11 papers), Anomaly Detection Techniques and Applications (10 papers) and Complex Network Analysis Techniques (10 papers). Hong-Han Shuai is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (11 papers), Anomaly Detection Techniques and Applications (10 papers) and Complex Network Analysis Techniques (10 papers). Hong-Han Shuai collaborates with scholars based in Taiwan, United States and China. Hong-Han Shuai's co-authors include Ling Lo, Wen-Huang Cheng, Hongxia Xie, Wen-Huang Cheng, Hao‐Wen Cheng, Ming-Syan Chen⋆, De-Nian Yang, Jun-Cheng Chen, Philip S. Yu and Jiaying Liu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, ACM Computing Surveys and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of Hong-Han Shuai i

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Fields of papers citing papers by Hong-Han Shuai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hong-Han Shuai

Since Specialization

Citations

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