Heinrich Jiang

About

Heinrich Jiang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Heinrich Jiang has authored 16 papers receiving a total of 140 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Management Science and Operations Research. Recurrent topics in Heinrich Jiang’s work include Machine Learning and Data Classification (3 papers), Machine Learning and Algorithms (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Heinrich Jiang is often cited by papers focused on Machine Learning and Data Classification (3 papers), Machine Learning and Algorithms (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Heinrich Jiang collaborates with scholars based in United States and United Kingdom. Heinrich Jiang's co-authors include Maya R. Gupta, Melody Y. Guan, Been Kim, Ofir Nachum, Tom Stepleton, Aldo Pacchiano, Ray Jiang, Silvia Chiappa, John Aslanides and Samory Kpotufe and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Heinrich Jiang i

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Fields of papers citing papers by Heinrich Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Heinrich Jiang

Since Specialization

Citations

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