Hailong Fu

2.0k total citations
52 papers, 1.5k citations indexed

About

Hailong Fu is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Hailong Fu has authored 52 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atomic and Molecular Physics, and Optics, 17 papers in Materials Chemistry and 10 papers in Molecular Biology. Recurrent topics in Hailong Fu's work include Quantum and electron transport phenomena (18 papers), Graphene research and applications (12 papers) and Topological Materials and Phenomena (12 papers). Hailong Fu is often cited by papers focused on Quantum and electron transport phenomena (18 papers), Graphene research and applications (12 papers) and Topological Materials and Phenomena (12 papers). Hailong Fu collaborates with scholars based in China, United States and Japan. Hailong Fu's co-authors include Xi Lin, Jian Wang, Haiwen Liu, Ying Xing, Hongbin Yuan, Qi‐Kun Xue, Pengjie Wang, Mingyong Miao, Takashi Taniguchi and Kenji Watanabe and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Hailong Fu

51 papers receiving 1.4k citations

Peers

Hailong Fu

AMPO

CMP

EOMM

Wondong Kim South Korea

Santiago Casado Spain

Andrew Johnson United Kingdom

Gang Su China

Jianyu He China

Ge Yang United States

Yoshifumi Suzuki Japan

René in ‘t Zandt Sweden

Yasuaki Arakawa Japan

Katsushi Hashimoto Japan

Wondong Kim South Korea

Hailong Fu

561 ×1.1

521 ×1.1

AMPO

1.1k ×2.9

193 ×0.7

CMP

301 ×2.1

EOMM

Citations per year, relative to Hailong Fu Hailong Fu (= 1×) peers Wondong Kim

Countries citing papers authored by Hailong Fu

Since Specialization

Citations

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

Fields of papers citing papers by Hailong Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailong Fu

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

All Works

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20 of 20 papers shown

Balram, Ajit C., Hailong Fu, Chenghua Guo, et al.. (2025). Hetero-Orbital Two-Component Fractional Quantum Hall States in Bilayer Graphene. Physical Review X. 15(3). 1 indexed citations

Ding, Ruifeng, Yixuan Zhang, Hongwei Zhu, et al.. (2024). Machine learning‐based prediction of clinical outcomes after traumatic brain injury: Hidden information of early physiological time series. CNS Neuroscience & Therapeutics. 30(7). e14848–e14848. 7 indexed citations

Huang, Ke, Hailong Fu, Kenji Watanabe, Takashi Taniguchi, & Jun Zhu. (2024). High-temperature quantum valley Hall effect with quantized resistance and a topological switch. Science. 385(6709). 657–661. 14 indexed citations

Wang, S., Qinglin Wang, Guozhao Zhang, et al.. (2024). Transport properties and electronic phase transitions in two-dimensional tellurium at high pressure. Applied Physics Letters. 124(10). 2 indexed citations

Wu, Yijia, Shuai Yuan, Xiao Liu, et al.. (2023). Anomalous quantized plateaus in two-dimensional electron gas with gate confinement. Nature Communications. 14(1). 1758–1758. 2 indexed citations

Fu, Hailong, Ke Huang, Kenji Watanabe, Takashi Taniguchi, & Jun Zhu. (2023). Charge Oscillations in Bilayer Graphene Quantum Confinement Devices. Nano Letters. 23(21). 9726–9732. 2 indexed citations

Zou, Liangrui, Dandan Sang, Yu Yao, et al.. (2023). Two‐dimensional MoS ₂ /diamond based heterojunctions for excellent optoelectronic devices: current situation and new perspectives. Rare Metals. 42(10). 3201–3211. 25 indexed citations

Huang, Ke, Hailong Fu, Danielle Reifsnyder Hickey, et al.. (2022). Valley Isospin Controlled Fractional Quantum Hall States in Bilayer Graphene. Physical Review X. 12(3). 44 indexed citations

Tong, Hua, Mei Yang, Erliang Kong, et al.. (2022). Huc-MSCs-derived exosomes attenuate inflammatory pain by regulating microglia pyroptosis and autophagy via the miR-146a-5p/TRAF6 axis. Journal of Nanobiotechnology. 20(1). 324–324. 104 indexed citations

10.

Zhu, Sibo, Zhiqing Yuan, Qiwei Li, et al.. (2020). Risk factors and socio-economic burden in pancreatic ductal adenocarcinoma operation: a machine learning based analysis. BMC Cancer. 20(1). 1161–1161. 13 indexed citations

11.

Li, Jing, et al.. (2019). Metallic Phase and Temperature Dependence of the ν=0 Quantum Hall State in Bilayer Graphene. Physical Review Letters. 122(9). 97701–97701. 21 indexed citations

12.

Xing, Ying, Kun Zhao, Feipeng Zheng, et al.. (2017). Ising Superconductivity and Quantum Phase Transition in Macro-Size Monolayer NbSe₂. Nano Letters. 17(11). 6802–6807. 168 indexed citations

13.

Sun, Haijing, Yan Lu, Hao‐Wei Wang, et al.. (2017). Activation of Endocannabinoid Receptor 2 as a Mechanism of Propofol Pretreatment‐Induced Cardioprotection against Ischemia‐Reperfusion Injury in Rats. Oxidative Medicine and Cellular Longevity. 2017(1). 2186383–2186383. 28 indexed citations

14.

Cai, Linlin, Yonghua Li, Qingqing Zhang, et al.. (2017). Salidroside protects rat liver against ischemia/reperfusion injury by regulating the GSK-3β/Nrf2-dependent antioxidant response and mitochondrial permeability transition. European Journal of Pharmacology. 806. 32–42. 47 indexed citations

15.

Li, Tingxin, Pengjie Wang, Hailong Fu, et al.. (2015). Observation of a Helical Luttinger Liquid inInAs/GaSbQuantum Spin Hall Edges. Physical Review Letters. 115(13). 136804–136804. 120 indexed citations

16.

Xie, Hui, et al.. (2013). An adolescent presenting with malignant fibrous histiocytoma of the testis: a case report. Journal of Medical Case Reports. 7(1). 30–30. 4 indexed citations

17.

Shi, Chunmei, Guangfeng Xu, Lei Yang, et al.. (2012). Overexpression of TFAM Protects 3T3-L1 Adipocytes from NYGGF4 (PID1) Overexpression-Induced Insulin Resistance and Mitochondrial Dysfunction. Cell Biochemistry and Biophysics. 66(3). 489–497. 11 indexed citations

18.

Fu, Hailong, Huan Chen, Chengcai Wang, et al.. (2012). Flurbiprofen, a Cyclooxygenase Inhibitor, Protects Mice from Hepatic Ischemia/Reperfusion Injury by Inhibiting GSK-3β Signaling and Mitochondrial Permeability Transition. Molecular Medicine. 18(7). 1128–1135. 27 indexed citations

19.

Fu, Hailong. (2011). The Evaluation of Interpretation System of Park from the National Geological Perspective of Tourists:Take the National Geological Park in Wulong as an Example. Chongqing Shifan Daxue xuebao. Ziran kexue ban. 1 indexed citations

20.

Ji, Chenbo, Xiaohong Chen, Chunlin Gao, et al.. (2011). IL-6 induces lipolysis and mitochondrial dysfunction, but does not affect insulin-mediated glucose transport in 3T3-L1 adipocytes. Journal of Bioenergetics and Biomembranes. 43(4). 367–375. 80 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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