Jiadi Zhu
- Electrical and Electronic Engineering top 2%
- Cellular and Molecular Neuroscience top 2%
- Materials Chemistry top 10%
- Polymers and Plastics top 5%
- Artificial Intelligence top 5%
- Topics
- Advanced Memory and Neural Computing (17 papers)Ferroelectric and Negative Capacitance Devices (14 papers)Semiconductor materials and devices (10 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringPolymers and Plastics
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jiadi Zhu
32 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Electrical and Electronic Engineering 1.8k
- Cellular and Molecular Neuroscience 685
- Materials Chemistry 473
- Polymers and Plastics 348
- Artificial Intelligence 264
Countries citing papers authored by Jiadi Zhu
This map shows the geographic impact of Jiadi Zhu'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 Jiadi Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiadi Zhu more than expected).
Fields of papers citing papers by Jiadi Zhu
This network shows the impact of papers produced by Jiadi Zhu. 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 Jiadi Zhu. The network helps show where Jiadi Zhu may publish in the future.
Co-authorship network of co-authors of Jiadi Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Jiadi Zhu. A scholar is included among the top collaborators of Jiadi Zhu 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 Jiadi Zhu. Jiadi Zhu 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 | 2 | |
| 4 | 0 | |
| 5 | 27 | |
| 6 | Low-thermal-budget synthesis of monolayer molybdenum disulfide for silicon back-end-of-line integration on a 200 mm platformbreakdown → | 162 |
| 7 | 100 | |
| 8 | 9 | |
| 9 | Brain-inspired computing with memristors: Challenges in devices, circuits, and systemsbreakdown → | 289 |
| 10 | 2 | |
| 11 | 43 | |
| 12 | 31 | |
| 13 | 12 | |
| 14 | 6 | |
| 15 | 48 | |
| 16 | 6 | |
| 17 | 42 | |
| 18 | 14 | |
| 19 | 30 | |
| 20 | 1 |
About Jiadi Zhu
Jiadi Zhu is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Materials Chemistry, having authored 35 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (17 papers), Ferroelectric and Negative Capacitance Devices (14 papers) and Semiconductor materials and devices (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (685 citations), Electrical and Electronic Engineering (1.8k citations) and Polymers and Plastics (348 citations). Jiadi Zhu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ru Huang, Yuchao Yang, Teng Zhang, Rundong Jia, Lin Bao, Yimao Cai, Xiaoxian Zhang, Zia ur Rehman, Li Song and Zhongxin Liang. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and Nature Communications.
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.