Hefei Liu

2.5k total citations · 2 hit papers
39 papers, 1.7k citations indexed

About

Hefei Liu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Hefei Liu has authored 39 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 7 papers in Artificial Intelligence and 7 papers in Materials Chemistry. Recurrent topics in Hefei Liu's work include Advanced Memory and Neural Computing (9 papers), Perovskite Materials and Applications (5 papers) and Bayesian Methods and Mixture Models (3 papers). Hefei Liu is often cited by papers focused on Advanced Memory and Neural Computing (9 papers), Perovskite Materials and Applications (5 papers) and Bayesian Methods and Mixture Models (3 papers). Hefei Liu collaborates with scholars based in China, United States and Hong Kong. Hefei Liu's co-authors include Yuequn Shang, Xianyuan Jiang, Zhijun Ning, Wenjia Zhou, Yuqin Liao, Qixi Mi, Dongwen Yang, Zhifang Shi, Rafael Quintero‐Bermudez and Li Na Quan and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Nano Letters.

In The Last Decade

Hefei Liu

37 papers receiving 1.7k citations

Hit Papers

Highly Oriented Low-Dimensional Tin Halide Perovskites wi... 2017 2026 2020 2023 2017 2018 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
Hefei Liu China 12 1.5k 928 708 81 80 39 1.7k
Chandan Kumar India 21 868 0.6× 533 0.6× 340 0.5× 194 2.4× 29 0.4× 95 1.2k
Wenwen Zheng China 22 689 0.5× 547 0.6× 163 0.2× 80 1.0× 88 1.1× 61 1.2k
Yucheng Wang China 16 483 0.3× 267 0.3× 156 0.2× 96 1.2× 35 0.4× 71 712
Wei‐Lun Tsai Taiwan 14 843 0.6× 603 0.6× 240 0.3× 47 0.6× 9 0.1× 22 928
Charles Mackin United States 18 758 0.5× 564 0.6× 67 0.1× 48 0.6× 64 0.8× 37 1.2k
Christopher M. Neumann United States 11 623 0.4× 725 0.8× 176 0.2× 58 0.7× 56 0.7× 17 957
Chuantong Cheng China 17 644 0.4× 247 0.3× 100 0.1× 52 0.6× 109 1.4× 62 942
Renjing Xu United States 10 1.0k 0.7× 1.4k 1.5× 104 0.1× 119 1.5× 109 1.4× 15 1.7k
Babak Nasr Australia 15 406 0.3× 349 0.4× 93 0.1× 101 1.2× 51 0.6× 23 692
Sung‐Hwan Bae South Korea 14 339 0.2× 326 0.4× 357 0.5× 126 1.6× 16 0.2× 55 882

Countries citing papers authored by Hefei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hefei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hefei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Hefei Liu. A scholar is included among the top collaborators of Hefei 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 Hefei Liu. Hefei 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.
Zhou, Qiang, Xiaodong Wang, Hefei Liu, et al.. (2025). Integrative spatial multi-omics identifies the TEK receptor tyrosine kinase as a central biomacromolecule of endothelial-immune interactions in glioblastoma. International Journal of Biological Macromolecules. 322(Pt 3). 146964–146964.
2.
Liu, Hefei, Jiangbin Wu, Jiahui Ma, et al.. (2024). A van der Waals interfacial junction transistor for reconfigurable fuzzy logic hardware. Nature Electronics. 7(10). 876–884. 9 indexed citations
3.
Lin, Sen, Tianyi Huang, Hefei Liu, et al.. (2023). Power efficient MoS2 synaptic devices based on Maxwell–Wagner interfacial charging in binary oxides. 2D Materials. 11(1). 15009–15009. 2 indexed citations
4.
Liu, Hefei, Hung‐Yu Chen, Jiangbin Wu, et al.. (2023). Artificial Neuronal Devices Based on Emerging Materials: Neuronal Dynamics and Applications. Advanced Materials. 35(37). e2205047–e2205047. 61 indexed citations
5.
Chen, Huandong, Nan Wang, Hefei Liu, Han Wang, & Jayakanth Ravichandran. (2023). Charge‐Density‐Wave Resistive Switching and Voltage Oscillations in Ternary Chalcogenide BaTiS3. Advanced Electronic Materials. 9(11). 2 indexed citations
7.
Liu, Hefei, Malolan S. Rajagopalan, Krishna V. Komanduri, et al.. (2022). Improvement in plan quality after Implementation of clinical goals in a large network of cancer centers. Medical dosimetry. 48(1). 51–54. 2 indexed citations
8.
Jiang, Shan, Junyeob Song, Yujing Zhang, et al.. (2021). Nano-optoelectrodes Integrated with Flexible Multifunctional Fiber Probes by High-Throughput Scalable Fabrication. ACS Applied Materials & Interfaces. 13(7). 9156–9165. 14 indexed citations
9.
Liu, Hefei, Tong Wu, Xiaodong Yan, et al.. (2021). A Tantalum Disulfide Charge-Density-Wave Stochastic Artificial Neuron for Emulating Neural Statistical Properties. Nano Letters. 21(8). 3465–3472. 23 indexed citations
10.
Liu, Hefei, et al.. (2021). Keyword Semantic Extended Top-k Ciphertext Retrieval Scheme Over Hybrid Government Cloud Environment. IEEE Access. 9. 155249–155259. 1 indexed citations
11.
Liu, Hefei, et al.. (2021). Detection of Factors Affecting State Transition Based on Non-Homogeneous Markov Chain Model. IEEE Access. 9. 102490–102496. 1 indexed citations
12.
Li, Hongqi, Hefei Liu, Zhifei Liu, et al.. (2021). Assessing efficacy and safety of stereotactic body radiation therapy for oligometastatic non-small cell lung cancer with epidermal growth factor receptor (EGFR) wild type. Translational Cancer Research. 10(1). 184–194. 3 indexed citations
13.
Liu, Hefei, et al.. (2021). Placenta Percreta Complications. Cureus. 13(10). e18842–e18842. 7 indexed citations
14.
Liu, Hefei, et al.. (2020). Hidden Markov Linear Regression Model and its Parameter Estimation. IEEE Access. 8. 187037–187042. 2 indexed citations
15.
Yang, Fei, Ning Tang, Hefei Liu, & Wenjing Cao. (2020). Coagulation Dysfunction. Archives of Pathology & Laboratory Medicine. 144(10). 1223–1229. 48 indexed citations
16.
Liu, Hefei & Xinyuan Song. (2020). Bayesian analysis of hidden Markov structural equation models with an unknown number of hidden states. Econometrics and Statistics. 18. 29–43. 8 indexed citations
17.
18.
Staley, Elizabeth M., et al.. (2019). A brief review of common mathematical calculations in therapeutic apheresis. Journal of Clinical Apheresis. 34(5). 607–612. 6 indexed citations
19.
Li, Hong‐Qi, et al.. (2017). Result of stereotactic radiotherapy of oligometastasis non-small cell lung cancer. Zhonghua fangshe zhongliuxue zazhi. 26(10). 1141–1146. 1 indexed citations
20.
Liu, Hefei, Ziru Huang, Shiyuan Wei, et al.. (2015). Nano-structured electron transporting materials for perovskite solar cells. Nanoscale. 8(12). 6209–6221. 108 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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