Zhengbing Bian
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Co-authors
- William G. MacreadyFabián A. ChudakAidan RoyRobert B. IsraelBrad LackeyLane ClarkFrank GaitanQian‐Ping Gu
- Topics
- Advanced Graph Theory Research (6 papers)Advanced Optical Network Technologies (5 papers)Quantum Computing Algorithms and Architecture (5 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsAtomic and Molecular Physics, and Optics
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Zhengbing Bian
12 papers receiving 206 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 193
- Computational Theory and Mathematics 82
- Atomic and Molecular Physics, and Optics 43
- Electrical and Electronic Engineering 38
- Computer Networks and Communications 19
Countries citing papers authored by Zhengbing Bian
This map shows the geographic impact of Zhengbing Bian'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 Zhengbing Bian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhengbing Bian more than expected).
Fields of papers citing papers by Zhengbing Bian
This network shows the impact of papers produced by Zhengbing Bian. 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 Zhengbing Bian. The network helps show where Zhengbing Bian may publish in the future.
Co-authorship network of co-authors of Zhengbing Bian
This figure shows the co-authorship network connecting the top 25 collaborators of Zhengbing Bian. A scholar is included among the top collaborators of Zhengbing Bian 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 Zhengbing Bian. Zhengbing Bian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | DVAE++: Discrete Variational Autoencoders with Overlapping Transformations | 2 |
| 3 | 46 | |
| 4 | 1 | |
| 5 | 79 | |
| 6 | 61 | |
| 7 | Experimental determination of Ramsey numbers with quantum annealing | 7 |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 3 |
About Zhengbing Bian
Zhengbing Bian is a scholar working on Computational Theory and Mathematics, General Social Sciences and Artificial Intelligence, having authored 12 papers that have together received 223 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (6 papers), Advanced Optical Network Technologies (5 papers) and Quantum Computing Algorithms and Architecture (5 papers). The work is most often cited by research in Artificial Intelligence (193 citations), Computational Theory and Mathematics (82 citations) and Atomic and Molecular Physics, and Optics (43 citations). Zhengbing Bian has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include William G. Macready, Fabián A. Chudak, Aidan Roy, Robert B. Israel, Brad Lackey, Lane Clark, Frank Gaitan, Qian‐Ping Gu, Roberto Sebastiani and Xiao Zhou. Their work appears in journals such as Physical Review Letters, Networks and Discrete Applied Mathematics.
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.