Dage Liu

7.2k total citations · 1 hit paper
195 papers, 5.9k citations indexed

About

Dage Liu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Dage Liu has authored 195 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Materials Chemistry, 51 papers in Electrical and Electronic Engineering and 40 papers in Molecular Biology. Recurrent topics in Dage Liu's work include Gas Sensing Nanomaterials and Sensors (22 papers), ZnO doping and properties (22 papers) and Transition Metal Oxide Nanomaterials (17 papers). Dage Liu is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (22 papers), ZnO doping and properties (22 papers) and Transition Metal Oxide Nanomaterials (17 papers). Dage Liu collaborates with scholars based in China, Japan and United States. Dage Liu's co-authors include Hiroyasu Yokomise, Cheng‐long Huang, Yinyue Wang, Qing Su, Jun Nakano, Ze Fang, Yeqiang Tan, Zhongyao Yan, Kyuichi Kadota and Sung Ha Park and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Clinical Oncology.

In The Last Decade

Dage Liu

181 papers receiving 5.7k citations

Hit Papers

Engineering hosts for Zn anodes in aqueous Zn-ion batteries 2023 2026 2024 2025 2023 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dage Liu China 42 2.0k 1.6k 1.6k 733 716 195 5.9k
Shuyuan Zhang China 42 3.2k 1.6× 1.6k 1.0× 1.7k 1.1× 716 1.0× 893 1.2× 184 6.5k
Woo‐Jae Kim South Korea 37 2.3k 1.2× 1.2k 0.7× 1.1k 0.7× 494 0.7× 653 0.9× 169 6.0k
Juan Yang China 33 2.4k 1.2× 2.4k 1.5× 603 0.4× 1.2k 1.7× 600 0.8× 139 5.4k
Xiaodong Shen China 58 4.4k 2.2× 2.5k 1.5× 898 0.6× 1.1k 1.5× 1.1k 1.5× 401 12.9k
Zhihui Xie China 54 2.7k 1.4× 783 0.5× 2.0k 1.3× 145 0.2× 514 0.7× 233 7.8k
Rong Yang United States 51 1.2k 0.6× 3.9k 2.4× 1.1k 0.7× 449 0.6× 335 0.5× 183 8.1k
Wei‐Ren Liu Taiwan 49 4.4k 2.3× 4.6k 2.8× 812 0.5× 1.6k 2.2× 936 1.3× 272 8.8k
Tao Huang China 51 3.2k 1.6× 3.4k 2.1× 831 0.5× 1.9k 2.5× 1.2k 1.6× 406 9.5k
Yunfeng Li China 37 4.3k 2.2× 1.5k 0.9× 816 0.5× 811 1.1× 464 0.6× 137 7.8k
Shishang Guo China 53 2.8k 1.4× 2.6k 1.6× 2.2k 1.4× 1.0k 1.4× 1.1k 1.5× 288 10.3k

Countries citing papers authored by Dage Liu

Since Specialization
Citations

This map shows the geographic impact of Dage Liu'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 Dage Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dage Liu more than expected).

Fields of papers citing papers by Dage Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dage Liu. 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 Dage Liu. The network helps show where Dage Liu may publish in the future.

Co-authorship network of co-authors of Dage Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Dage Liu. A scholar is included among the top collaborators of Dage Liu 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 Dage Liu. Dage Liu 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.
Liu, Dage, et al.. (2025). Functional validation to explore the protective role of miR-223 in Staphylococcus aureus-induced bovine mastitis. Journal of Animal Science and Biotechnology. 16(1). 34–34. 2 indexed citations
3.
Zhang, Ping, et al.. (2025). Quetiapine combined with escitalopram in the treatment of bipolar depression. The International Journal of Psychiatry in Medicine. 60(6). 624–636.
4.
Ma, J., Lailei Wu, Dage Liu, et al.. (2024). Influence of the substitution of CaO by SrO on the structure, degradation and apatite formation of sol–gel derived SiO–CaO–SrO–PO system bioactive glasses. Ceramics International. 50(24). 55906–55919. 4 indexed citations
5.
Sun, Meng, Jishan Liu, Dage Liu, et al.. (2024). Effects of vanadium content on the microstructure and tensile properties of NbTiV Zr high-entropy alloys. Journal of Alloys and Compounds. 987. 174227–174227. 17 indexed citations
6.
Sun, Moguo, Dage Liu, Yubin Ke, et al.. (2024). Oxygen and nitrogen effects on anelasticity and mechanical property of Ti35Zr30V10Nb25 multi-principal element alloys. Scripta Materialia. 258. 116488–116488. 2 indexed citations
7.
Hanif, Muhammad Fainan, Mohamed Metwaly, Imran Iqbal, et al.. (2024). Leveraging advanced AI algorithms with transformer-infused recurrent neural networks to optimize solar irradiance forecasting. Frontiers in Energy Research. 12. 9 indexed citations
8.
Liu, Dage, Meng Sun, Jishan Liu, et al.. (2023). High magneto-mechanical hysteresis-type damping in FeGaMo alloys. Journal of Alloys and Compounds. 968. 172233–172233. 1 indexed citations
9.
Su, Min, Jianting Fu, Zixiao Liu, et al.. (2023). All-Fabric Capacitive Pressure Sensors with Piezoelectric Nanofibers for Wearable Electronics and Robotic Sensing. ACS Applied Materials & Interfaces. 15(41). 48683–48694. 27 indexed citations
11.
Su, Min, Pei Li, Dage Liu, Dapeng Wei, & Jun Yang. (2022). Textile-Based Flexible Capacitive Pressure Sensors: A Review. Nanomaterials. 12(9). 1495–1495. 49 indexed citations
12.
Zhou, Kai, Xin Hong, Wenlin Feng, et al.. (2020). Broadband photodetector based on 2D layered PtSe2 / silicon heterojunction at room-temperature. Physica E Low-dimensional Systems and Nanostructures. 123. 114147–114147. 13 indexed citations
13.
Duan, Qianqian, Xin Hong, Chenyang Wang, et al.. (2020). Design of hole-transport-material free CH3NH3PbI3/CsSnI3 all-perovskite heterojunction efficient solar cells by device simulation. Solar Energy. 201. 555–560. 163 indexed citations
14.
Di, Lijing, Hua Yang, Tao Xian, Dage Liu, & Xiujuan Chen. (2019). Photocatalytic and Photo-Fenton Catalytic Degradation Activities of Z-Scheme Ag2S/BiFeO3 Heterojunction Composites under Visible-Light Irradiation. Nanomaterials. 9(3). 399–399. 119 indexed citations
15.
Liu, Dage, Xia Zhang, Jun Nakano, et al.. (2014). Overexpression of G protein-coupled receptor 87 correlates with poorer tumor differentiation and higher tumor proliferation in non-small-cell lung cancer. Molecular and Clinical Oncology. 2(4). 539–544. 23 indexed citations
16.
Huang, Cheng‐long, Dage Liu, Shinya Ishikawa, et al.. (2008). Wnt1 overexpression promotes tumour progression in non-small cell lung cancer. European Journal of Cancer. 44(17). 2680–2688. 80 indexed citations
17.
Masuya, Daiki, Takashi Nakashima, Dage Liu, et al.. (2007). A case of mediastinal lymph node carci-noma without an apparent primary lesio-n. The Journal of the Japanese Association for Chest Surgery. 21(5). 673–676. 1 indexed citations
19.
Masuya, Daiki, Masashi Gotoh, Takashi Nakashima, et al.. (2005). An intractable empyema proceeded from radiation pneumonitis after operation of lung cancer. The Journal of the Japanese Association for Chest Surgery. 19(5). 689–692. 1 indexed citations
20.
Liu, Dage, Chenglong Huang, Kotaro Kameyama, et al.. (2001). E-cadherin expression associated with differentiation and prognosis in patients with non–small cell lung cancer. The Annals of Thoracic Surgery. 71(3). 949–954. 83 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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