Hao Cheng

35 papers and 1.3k indexed citations i.

About

Hao Cheng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Hao Cheng has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Hao Cheng’s work include Topic Modeling (15 papers), Natural Language Processing Techniques (12 papers) and Multimodal Machine Learning Applications (6 papers). Hao Cheng is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (12 papers) and Multimodal Machine Learning Applications (6 papers). Hao Cheng collaborates with scholars based in United States, Singapore and Canada. Hao Cheng's co-authors include Jianfeng Gao, Hoifung Poon, Naoto Usuyama, 裕二 池谷, Robert Tinn, Tristan Naumann, Xiaodong Liu, Michael Lucas, Mari Ostendorf and Hao Fang and has published in prestigious journals such as Information Sciences, Remote Sensing and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

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

Fields of papers citing papers by Hao Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hao Cheng

Since Specialization
Citations

This map shows the geographic impact of Hao 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 Hao Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao 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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2025