Gang Niu

19.2k total citations · 5 hit papers
272 papers, 13.2k citations indexed

About

Gang Niu is a scholar working on Materials Chemistry, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Gang Niu has authored 272 papers receiving a total of 13.2k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Materials Chemistry, 99 papers in Biomedical Engineering and 98 papers in Electrical and Electronic Engineering. Recurrent topics in Gang Niu's work include Ferroelectric and Piezoelectric Materials (62 papers), Electronic and Structural Properties of Oxides (45 papers) and Semiconductor materials and devices (45 papers). Gang Niu is often cited by papers focused on Ferroelectric and Piezoelectric Materials (62 papers), Electronic and Structural Properties of Oxides (45 papers) and Semiconductor materials and devices (45 papers). Gang Niu collaborates with scholars based in China, United States and Germany. Gang Niu's co-authors include Xiaohong Chen, Peng Huang, Jibin Song, Masashi Sugiyama, Orit Jacobson, Lisen Lin, Jing Lin, Zhe Wang, Yijing Liu and Xiaolian Sun and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Gang Niu

255 papers receiving 13.0k citations

Hit Papers

Synthesis of Copper Perox... 2013 2026 2017 2021 2019 2018 2013 2013 2013 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gang Niu China 62 7.2k 6.0k 2.7k 2.1k 2.1k 272 13.2k
Chulhong Kim South Korea 69 13.1k 1.8× 3.2k 0.5× 1.7k 0.6× 2.3k 1.1× 873 0.4× 419 17.0k
Jinchao Zhang China 56 5.3k 0.7× 3.5k 0.6× 2.8k 1.0× 4.0k 1.9× 423 0.2× 434 12.9k
Jaeyun Kim South Korea 66 7.1k 1.0× 7.7k 1.3× 4.8k 1.8× 3.2k 1.5× 2.6k 1.2× 276 19.6k
Xiaodong Wu China 48 3.4k 0.5× 1.5k 0.3× 928 0.3× 611 0.3× 2.3k 1.1× 219 9.1k
Junle Qu China 70 9.9k 1.4× 10.1k 1.7× 1.6k 0.6× 4.6k 2.2× 5.6k 2.7× 755 22.4k
Da Zhang China 52 3.0k 0.4× 1.4k 0.2× 941 0.3× 1.9k 0.9× 1.3k 0.6× 391 8.3k
Xingde Li United States 46 6.3k 0.9× 2.4k 0.4× 1.2k 0.4× 1.7k 0.8× 940 0.4× 188 10.1k
Richard M. Levenson United States 29 2.4k 0.3× 2.6k 0.4× 777 0.3× 3.1k 1.5× 637 0.3× 110 7.5k
Hak Soo Choi United States 60 8.0k 1.1× 5.2k 0.9× 4.2k 1.5× 3.9k 1.8× 667 0.3× 260 16.5k
Feng Wang China 74 6.7k 0.9× 21.2k 3.5× 540 0.2× 2.5k 1.2× 9.6k 4.6× 266 26.1k

Countries citing papers authored by Gang Niu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Gang Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Niu. A scholar is included among the top collaborators of Gang Niu 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 Gang Niu. Gang Niu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hou, Zhipeng, Gang Niu, Jun Yang, et al.. (2025). Top gate overlaid carbon nanotube transistor electronic synapse arrays for high-performance image recognition. Journal of Materials Chemistry C. 13(26). 13490–13501.
2.
Zhao, Jinyan, Shijie Zhai, Junlin Yang, et al.. (2025). Accurate operando measurement of AlGaN/GaN HEMTs channel temperature and optimization of thermal design. Nanotechnology. 36(13). 135703–135703.
4.
Zhao, Jinyan, Yuebing Li, Zhe Wang, et al.. (2024). Simultaneous giant strain and electrostrictive coefficient in lead-free BNT-ST-BT ergodic relaxor thin films on Pt/TiO2/SiO2/Si substrates. Journal of Alloys and Compounds. 1008. 176514–176514. 2 indexed citations
5.
Dai, Liyan, He‐Ping Wu, Sijin Li, et al.. (2024). Remote epitaxy of K0.5Na0.5NbO3 films on SrTiO3. Journal of Materials Chemistry C. 12(36). 14540–14550. 1 indexed citations
6.
Wan, Hongyan, Zenghui Liu, Wenhao Yang, et al.. (2024). High strain and energy-storage density across a wide temperature range in fine PbHfO3 ceramics. Acta Materialia. 267. 119715–119715. 9 indexed citations
7.
Zhao, Jinyan, Zhe Wang, Gang Niu, et al.. (2024). An enhanced strain response in micrometer-thick BNT-ST thin films. Ceramics International. 50(23). 52059–52066.
8.
Zhao, Jinyan, Zhe Wang, Kun Zheng, et al.. (2024). Dielectric nonlinearity analysis of BNT–ST–BT relaxor ferroelectric thin films with different film thicknesses. Journal of Applied Physics. 136(22).
9.
Wang, Qiang, Liyan Dai, Jinyan Zhao, et al.. (2024). Ultra-thin epitaxial orthorhombic ferroelectric Hf0.97Y0.03O2 films on La2/3Sr1/3MnO3/SrTiO3 substrate with different orientations. Journal of Crystal Growth. 652. 128043–128043.
10.
Zhao, Tingting, et al.. (2023). Learning Intention-Aware Policies in Deep Reinforcement Learning. Neural Computation. 35(10). 1657–1677. 1 indexed citations
11.
Zhao, Jinyan, Jun Yang, Shijie Zhai, et al.. (2023). Accurate and wide-range measurement of thermal conductivity of semiconductor materials by laser-excited Raman spectroscopy. Journal of Applied Physics. 134(1). 5 indexed citations
12.
Zhao, Jinyan, Nan Zhang, Yi Quan, et al.. (2021). Evolution of mesoscopic domain structure and macroscopic properties in lead-free Bi0.5Na0.5TiO3-BaTiO3 ferroelectric ceramics. Journal of Applied Physics. 129(8). 31 indexed citations
13.
Pramanick, Abhijit, Alisa R. Paterson, Gang Niu, et al.. (2020). Oxygen octahedral tilt ordering in (Na1/2Bi1/2)TiO3 ferroelectric thin films. Applied Physics Letters. 116(2). 2 indexed citations
14.
Lu, Nan, et al.. (2019). Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach. International Conference on Artificial Intelligence and Statistics. 1115–1125. 4 indexed citations
16.
Quan, Yi, Wei Ren, Gang Niu, et al.. (2018). Large Piezoelectric Strain with Superior Thermal Stability and Excellent Fatigue Resistance of Lead-Free Potassium Sodium Niobate-Based Grain Orientation-Controlled Ceramics. ACS Applied Materials & Interfaces. 10(12). 10220–10226. 61 indexed citations
17.
Lu, Nan, Gang Niu, Aditya Krishna Menon, & Masashi Sugiyama. (2018). On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data. arXiv (Cornell University). 7 indexed citations
18.
Liu, Yijing, Zhèn Yáng, Xiaolin Huang, et al.. (2018). Glutathione-Responsive Self-Assembled Magnetic Gold Nanowreath for Enhanced Tumor Imaging and Imaging-Guided Photothermal Therapy. ACS Nano. 12(8). 8129–8137. 139 indexed citations
19.
Bartolomeo, Antonio Di, Filippo Giubileo, Giuseppe Luongo, et al.. (2016). Tunable Schottky barrier and high responsivity in graphene/Si-nanotip optoelectronic device. 2D Materials. 4(1). 15024–15024. 145 indexed citations
20.
Niu, Gang, Wittawat Jitkrittum, Bo Dai, Hirotaka Hachiya, & Masashi Sugiyama. (2013). Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning. International Conference on Machine Learning. 10–18. 21 indexed citations

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.

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