Bingyi Zhang
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- Graph Theory and Algorithms 7
- Advanced Neural Network Applications 6
- Human Pose and Action Recognition 3
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks 13
- Human-Computer Interaction top 10%
- Hardware and Architecture top 10%
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- Ferroelectric and Negative Capacitance Devices 5
- Advanced Memory and Neural Computing 3
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- Machine Learning in Materials Science 3
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- Network Traffic and Congestion Control 3
- Co-authors
- Viktor K. PrasannaHanqing ZengRajgopal KannanJun HanXiaoyang ZengYamin SunWei GaoViktor Prasanna
- Journals
- IEEE Transactions on Parallel and Distributed Systems (3 papers)Journal of Network and Computer Applications (1 paper)IEEE Transactions on Circuits & Systems II Express Briefs (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Bingyi Zhang
30 papers receiving 284 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 153
- Artificial Intelligence 159
- Human-Computer Interaction 26
- Hardware and Architecture 31
- Electrical and Electronic Engineering 102
Countries citing papers authored by Bingyi Zhang
This map shows the geographic impact of Bingyi Zhang'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 Bingyi Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingyi Zhang more than expected).
Fields of papers citing papers by Bingyi Zhang
This network shows the impact of papers produced by Bingyi Zhang. 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 Bingyi Zhang. The network helps show where Bingyi Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bingyi Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 9 | |
| 13 | 2020 | 14 | |
| 14 | 2020 | 53 | |
| 15 | 2019 | 18 | |
| 16 | 2019 | 13 | |
| 17 | 2018 | 5 | |
| 18 | Hash Tree Indexing for Fast SPARQL Query in Large Scale RDF Data Management Systems. | 2017 | 4 |
| 19 | Linear discriminant analysis in network traffic modelling: Research Articles | 2006 | 4 |
| 20 | 2005 | 4 |
About Bingyi Zhang
Bingyi Zhang is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 31 papers that have together received 287 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (13 papers), Graph Theory and Algorithms (7 papers), Advanced Neural Network Applications (6 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Machine Learning in Materials Science (3 papers), Advanced Memory and Neural Computing (3 papers), Network Traffic and Congestion Control (3 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (153 citations), Artificial Intelligence (159 citations) and Human-Computer Interaction (26 citations). Bingyi Zhang has collaborated with scholars based in United States, China and India. Frequent co-authors include Viktor K. Prasanna, Hanqing Zeng, Rajgopal Kannan, Jun Han, Xiaoyang Zeng, Yamin Sun, Wei Gao, Viktor Prasanna, Guanghui He and Hao Yu. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Journal of Network and Computer Applications, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Geoscience and Remote Sensing Letters and International Journal of Communication Systems.
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.