Hao–Chung Cheng
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics
- Computational Theory and Mathematics
- Computer Networks and Communications
- Co-authors
- Min-Hsiu HsiehNilanjana DattaChing–Yi LaiLi GaoHsi‐Sheng GoanPing‐Cheng YehYuchen ShenNengkun Yu
- Topics
- Quantum Computing Algorithms and Architecture (26 papers)Quantum Information and Cryptography (21 papers)Wireless Communication Security Techniques (18 papers)
- Journals
- IEEE Transactions on Information TheoryCommunications in Mathematical PhysicsLinear Algebra and its Applications
- Partner nations
- TaiwanUnited StatesAustralia
In The Last Decade
Hao–Chung Cheng
35 papers receiving 244 citations
Peers
Comparison fields: 5 of 22
- Artificial Intelligence 200
- Electrical and Electronic Engineering 85
- Atomic and Molecular Physics, and Optics 66
- Computational Theory and Mathematics 32
- Computer Networks and Communications 27
Countries citing papers authored by Hao–Chung Cheng
This map shows the geographic impact of Hao–Chung 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–Chung 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–Chung Cheng more than expected).
Fields of papers citing papers by Hao–Chung Cheng
This network shows the impact of papers produced by Hao–Chung 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–Chung Cheng. The network helps show where Hao–Chung Cheng may publish in the future.
Co-authorship network of co-authors of Hao–Chung Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Hao–Chung Cheng. A scholar is included among the top collaborators of Hao–Chung 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 Hao–Chung Cheng. Hao–Chung 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 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 9 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 5 | |
| 16 | 24 | |
| 17 | 8 | |
| 18 | 7 | |
| 19 | 9 | |
| 20 | 1 |
About Hao–Chung Cheng
Hao–Chung Cheng is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Statistics and Probability, having authored 40 papers that have together received 247 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (26 papers), Quantum Information and Cryptography (21 papers) and Wireless Communication Security Techniques (18 papers). The work is most often cited by research in Artificial Intelligence (200 citations), Computational Mathematics (2 citations) and Atomic and Molecular Physics, and Optics (66 citations). Hao–Chung Cheng has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Min-Hsiu Hsieh, Nilanjana Datta, Ching–Yi Lai, Li Gao, Li Gao, Hsi‐Sheng Goan, Ping‐Cheng Yeh, Yuchen Shen, Nengkun Yu and Andreas Winter. Their work appears in journals such as IEEE Transactions on Information Theory, Communications in Mathematical Physics and Linear Algebra and its Applications.
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.