Yingjie Tang
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- Advanced Memory and Neural Computing 12
- CCD and CMOS Imaging Sensors 6
- Thin-Film Transistor Technologies 5
- Molecular Junctions and Nanostructures 5
- Gas Sensing Nanomaterials and Sensors 4
- Polymers and Plastics top 10%
- Transition Metal Oxide Nanomaterials 6
- Materials Chemistry top 10%
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- Analytical Chemistry and Sensors 4
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- Neural Networks and Reservoir Computing 4
- Co-authors
- Bowen ZhuDingwei LiKun LiangHuihui RenYan WangYitong ChenFanfan LiChunyan Song
- Cited by
- Electrical and Electronic EngineeringPolymers and PlasticsCellular and Molecular Neuroscience
- Journals
- Journal of the American Chemical Society (5 papers)Advanced Materials (1 paper)Nature Communications (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yingjie Tang
59 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Electrical and Electronic Engineering 772
- Polymers and Plastics 178
- Cellular and Molecular Neuroscience 170
- Materials Chemistry 371
- Catalysis 55
Countries citing papers authored by Yingjie Tang
This map shows the geographic impact of Yingjie Tang'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 Yingjie Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingjie Tang more than expected).
Fields of papers citing papers by Yingjie Tang
This network shows the impact of papers produced by Yingjie Tang. 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 Yingjie Tang. The network helps show where Yingjie Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yingjie Tang, 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 | 2025 | 0 | |
| 2 | 2025 | 5 | |
| 3 | 2024 | 41 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 16 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 6 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 41 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 19 | |
| 12 | 2023 | 97 | |
| 13 | 2022 | 36 | |
| 14 | 2022 | 43 | |
| 15 | 2022 | 20 | |
| 16 | 2021 | 17 | |
| 17 | 2015 | 19 | |
| 18 | 2004 | 7 | |
| 19 | 1978 | 1 | |
| 20 | 1978 | 6 |
About Yingjie Tang
Yingjie Tang is a scholar working on Catalysis, Bioengineering and Electrical and Electronic Engineering, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), Transition Metal Oxide Nanomaterials (6 papers), CCD and CMOS Imaging Sensors (6 papers), Thin-Film Transistor Technologies (5 papers), Molecular Junctions and Nanostructures (5 papers), Gas Sensing Nanomaterials and Sensors (4 papers), Analytical Chemistry and Sensors (4 papers) and Neural Networks and Reservoir Computing (4 papers). The work is most often cited by research in Electrical and Electronic Engineering (772 citations), Polymers and Plastics (178 citations) and Cellular and Molecular Neuroscience (170 citations). Yingjie Tang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Bowen Zhu, Dingwei Li, Kun Liang, Huihui Ren, Yan Wang, Yitong Chen, Fanfan Li, Chunyan Song, Hong Wang and Peng Jin. 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.