Gang Niu
- Biomaterials top 0.2%
- Nanoparticle-Based Drug Delivery 25
- Biomedical Engineering top 0.1%
- Nanoplatforms for cancer theranostics 41
- Acoustic Wave Resonator Technologies 24
- Materials Chemistry top 0.5%
- Ferroelectric and Piezoelectric Materials 62
- Electronic and Structural Properties of Oxides 45
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- Multiferroics and related materials 30
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- Semiconductor materials and devices 45
- Advanced Memory and Neural Computing 27
- Co-authors
- Xiaohong ChenPeng HuangJibin SongMasashi SugiyamaOrit JacobsonLisen LinJing LinZhe Wang
- Journals
- Journal of the American Chemical Society (3 papers)Advanced Materials (8 papers)Angewandte Chemie International Edition (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Gang Niu
255 papers receiving 13.0k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Biomaterials 2.7k
- Biomedical Engineering 7.2k
- Materials Chemistry 6.0k
- Electronic, Optical and Magnetic Materials 1.9k
- Electrical and Electronic Engineering 2.1k
Countries citing papers authored by Gang Niu
This map shows the geographic impact of Gang Niu'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 Gang Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Niu more than expected).
Fields of papers citing papers by Gang Niu
This network shows the impact of papers produced by Gang Niu. 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 Gang Niu. The network helps show where Gang Niu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gang Niu, 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 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2022 | 15 | |
| 16 | 2022 | 33 | |
| 17 | 2021 | 31 | |
| 18 | 2019 | 1 | |
| 19 | Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach | 2019 | 4 |
| 20 | Regularized Policy Gradients -- Direct Variance Reduction in Policy Gradient Estimation | 2015 | 2 |
About Gang Niu
Gang Niu is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry and Biomedical Engineering, having authored 272 papers that have together received 13.2k indexed citations. Recurring topics across this work include Ferroelectric and Piezoelectric Materials (62 papers), Electronic and Structural Properties of Oxides (45 papers), Semiconductor materials and devices (45 papers), Nanoplatforms for cancer theranostics (41 papers), Multiferroics and related materials (30 papers), Advanced Memory and Neural Computing (27 papers), Nanoparticle-Based Drug Delivery (25 papers) and Acoustic Wave Resonator Technologies (24 papers). The work is most often cited by research in Biomaterials (2.7k citations), Biomedical Engineering (7.2k citations) and Materials Chemistry (6.0k citations). Gang Niu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaohong Chen, Peng Huang, Jibin Song, Masashi Sugiyama, Orit Jacobson, Lisen Lin, Jing Lin, Zhe Wang, Yijing Liu and Xiaolian Sun. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.
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.