Changzhu Liu

683 total citations · 1 hit paper
9 papers, 428 citations indexed

About

Changzhu Liu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Changzhu Liu has authored 9 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 3 papers in Computer Networks and Communications and 2 papers in Aerospace Engineering. Recurrent topics in Changzhu Liu's work include Advanced Wireless Communication Technologies (4 papers), IoT and Edge/Fog Computing (3 papers) and IoT Networks and Protocols (3 papers). Changzhu Liu is often cited by papers focused on Advanced Wireless Communication Technologies (4 papers), IoT and Edge/Fog Computing (3 papers) and IoT Networks and Protocols (3 papers). Changzhu Liu collaborates with scholars based in China, United States and South Korea. Changzhu Liu's co-authors include Xiaoyan Xie, Xue Lu, Liping Yin, Yongping Lu, Fankun Meng, Kun Wang, Liping Huang, Jian Zheng, Jie Tian and Minghui Tong and has published in prestigious journals such as Gut, IEEE Access and IEEE Transactions on Vehicular Technology.

In The Last Decade

Changzhu Liu

9 papers receiving 420 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study

2018 380 citations Kun Wang, Xue Lu et al. Gut profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Changzhu Liu China	5	236	137	126	77	66	9	428
Narine Mesropyan Germany	15	246 1.0×	99 0.7×	148 1.2×	27 0.4×	59 0.9×	61	509
Liping Yin China	5	242 1.0×	138 1.0×	132 1.0×	77 1.0×	87 1.3×	11	441
Yongping Lu China	6	254 1.1×	143 1.0×	143 1.1×	77 1.0×	79 1.2×	9	440
Jason Xie Canada	12	405 1.7×	45 0.3×	34 0.3×	46 0.6×	108 1.6×	24	943
Yuanxiang Gao China	11	189 0.8×	88 0.6×	27 0.2×	63 0.8×	28 0.4×	23	311
Francesca Galati Italy	12	317 1.3×	159 1.2×	141 1.1×	35 0.5×	34 0.5×	35	629
Robert Peter Reimer Germany	14	254 1.1×	32 0.2×	47 0.4×	21 0.3×	189 2.9×	38	398
Qingjing Zeng China	11	161 0.7×	241 1.8×	138 1.1×	27 0.4×	102 1.5×	33	364
Ming‐De Li China	10	121 0.5×	37 0.3×	24 0.2×	46 0.6×	33 0.5×	28	228
Grace C. Lo United States	10	169 0.7×	163 1.2×	255 2.0×	13 0.2×	104 1.6×	22	437

Countries citing papers authored by Changzhu Liu

Since Specialization

Citations

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

Fields of papers citing papers by Changzhu Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changzhu Liu

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

All Works

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9 of 9 papers shown

1.

Liu, Changzhu, Ruisi He, Yong Niu, et al.. (2024). Refracting Reconfigurable Intelligent Surface Assisted URLLC for Millimeter Wave High-Speed Train Communication Coverage Enhancement. IEEE Transactions on Vehicular Technology. 74(1). 953–967. 3 indexed citations

2.

He, Ruisi, Bo Ai, Zhangdui Zhong, et al.. (2023). Radio communication scenarios in 5G-railways. China Communications. 20(9). 235–246. 7 indexed citations

3.

Liu, Changzhu, Ruisi He, Yong Niu, et al.. (2023). Coverage Probability Analysis of RIS-Assisted High-Speed Train Communications. 1–6. 3 indexed citations

4.

Liu, Changzhu, Ruisi He, Yong Niu, et al.. (2023). Reconfigurable Intelligent Surface Assisted High-Speed Train Communications: Coverage Performance Analysis and Placement Optimization. IEEE Transactions on Vehicular Technology. 73(3). 3750–3766. 15 indexed citations

5.

He, Yusheng, et al.. (2022). Recognition of Significant Multi-Element Geochemical Signatures of Lower Soil on Hainan Island, China: Implications for Thermal Mineral Water Exploration. Water. 14(3). 341–341. 1 indexed citations

6.

Liu, Changzhu & Rong Chai. (2020). Energy Efficient Joint Resource Allocation and Clustering Algorithm for M2M Communication Systems. 1–6. 1 indexed citations

7.

Chai, Rong, Changzhu Liu, & Qianbin Chen. (2019). Energy Efficiency Optimization-Based Joint Resource Allocation and Clustering Algorithm for M2M Communication Systems. IEEE Access. 7. 168507–168519. 12 indexed citations

8.

Chai, Rong, et al.. (2019). Service Characteristics-Oriented Joint ACB, Cell Selection, and Resource Allocation Scheme for Heterogeneous M2M Communication Networks. IEEE Systems Journal. 13(3). 2641–2652. 6 indexed citations

9.

Wang, Kun, Xue Lu, Hui Zhou, et al.. (2018). Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study. Gut. 68(4). 729–741. 380 indexed citations breakdown →

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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