Heng-Tze Cheng
- Information Systems top 0.2%
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 1%
- Computer Networks and Communications top 5%
- Management Science and Operations Research top 2%
- Co-authors
- Vihan JainTushar ChandraWei Koong ChaiGreg S. CorradoHemal ShahLichan HongTal ShakedXiaobing Liu
- Topics
- Context-Aware Activity Recognition Systems (6 papers)Recommender Systems and Techniques (4 papers)Anomaly Detection Techniques and Applications (3 papers)
- Journals
- arXiv (Cornell University)Figshare
- Partner nations
- United StatesTaiwan
In The Last Decade
Heng-Tze Cheng
17 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Information Systems 1.5k
- Artificial Intelligence 1.3k
- Computer Vision and Pattern Recognition 814
- Computer Networks and Communications 333
- Management Science and Operations Research 326
Countries citing papers authored by Heng-Tze Cheng
This map shows the geographic impact of Heng-Tze 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 Heng-Tze Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heng-Tze Cheng more than expected).
Fields of papers citing papers by Heng-Tze Cheng
This network shows the impact of papers produced by Heng-Tze 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 Heng-Tze Cheng. The network helps show where Heng-Tze Cheng may publish in the future.
Co-authorship network of co-authors of Heng-Tze Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Heng-Tze Cheng. A scholar is included among the top collaborators of Heng-Tze Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Heng-Tze Cheng. Heng-Tze Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 66 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | Wide & Deep Learning for Recommender Systemsbreakdown → | 1997 |
| 9 | 36 | |
| 10 | 39 | |
| 11 | 92 | |
| 12 | Learning and recognizing the hierarchical and sequential structure of human activities | 10 |
| 13 | PnLUM : System for Prediction of Next Location for Users with Mobility | 21 |
| 14 | 10 | |
| 15 | 34 | |
| 16 | 18 | |
| 17 | 2 | |
| 18 | 14 | |
| 19 | 40 |
About Heng-Tze Cheng
Heng-Tze Cheng is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Transportation, having authored 19 papers that have together received 2.4k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (6 papers), Recommender Systems and Techniques (4 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Information Systems (1.5k citations), Computer Vision and Pattern Recognition (814 citations) and Artificial Intelligence (1.3k citations). Heng-Tze Cheng has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Vihan Jain, Tushar Chandra, Wei Koong Chai, Greg S. Corrado, Hemal Shah, Lichan Hong, Tal Shaked, Xiaobing Liu, Glen Anderson and Jeremiah Harmsen. Their work appears in journals such as arXiv (Cornell University) and Figshare.
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.