Mingtao Zhan
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering
- Hardware and Architecture top 10%
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Topics
- Analog and Mixed-Signal Circuit Design (9 papers)Advancements in Semiconductor Devices and Circuit Design (8 papers)Low-power high-performance VLSI design (5 papers)
- Journals
- IEEE Journal of Solid-State CircuitsIEEE Transactions on Circuits and Systems I Regular Papers2022 IEEE International Solid- State Circuits Conference (ISSCC)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Mingtao Zhan
16 papers receiving 346 citations
Peers
Comparison fields: 5 of 30
- Electrical and Electronic Engineering 319
- Biomedical Engineering 164
- Hardware and Architecture 39
- Computer Vision and Pattern Recognition 33
- Artificial Intelligence 29
Countries citing papers authored by Mingtao Zhan
This map shows the geographic impact of Mingtao Zhan'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 Mingtao Zhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingtao Zhan more than expected).
Fields of papers citing papers by Mingtao Zhan
This network shows the impact of papers produced by Mingtao Zhan. 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 Mingtao Zhan. The network helps show where Mingtao Zhan may publish in the future.
Co-authorship network of co-authors of Mingtao Zhan
This figure shows the co-authorship network connecting the top 25 collaborators of Mingtao Zhan. A scholar is included among the top collaborators of Mingtao Zhan 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 Mingtao Zhan. Mingtao Zhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 12 | |
| 6 | 11 | |
| 7 | 10 | |
| 8 | 12 | |
| 9 | 15 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 22 | |
| 13 | 24 | |
| 14 | 121 | |
| 15 | 35 | |
| 16 | 12 | |
| 17 | 54 |
About Mingtao Zhan
Mingtao Zhan is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Biomedical Engineering, having authored 17 papers that have together received 351 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (9 papers), Advancements in Semiconductor Devices and Circuit Design (8 papers) and Low-power high-performance VLSI design (5 papers). The work is most often cited by research in Hardware and Architecture (39 citations), Electrical and Electronic Engineering (319 citations) and Biomedical Engineering (164 citations). Mingtao Zhan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Nan Sun, Xiyuan Tang, Lu Jie, Jiaxin Liu, Yongpan Liu, Xing Wang, Xueqing Li, Yen-Lin Chung, Huazhong Yang and Zhe Yuan. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Circuits and Systems I Regular Papers and 2022 IEEE International Solid- State Circuits Conference (ISSCC).
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.