Changliang Wang

488 total citations
35 papers, 330 citations indexed

About

Changliang Wang is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Computational Mechanics. According to data from OpenAlex, Changliang Wang has authored 35 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 7 papers in Electrical and Electronic Engineering and 6 papers in Computational Mechanics. Recurrent topics in Changliang Wang's work include Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Data Management and Algorithms (3 papers). Changliang Wang is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Data Management and Algorithms (3 papers). Changliang Wang collaborates with scholars based in China, Hong Kong and Macao. Changliang Wang's co-authors include Lei Chen, Kap Luk Chan, S.Z. Li, Maocheng Tian, Guanmin Zhang, Jingzhi Zhang, Xiaolong Wang, Guohua Zhang, Xu Wu and Rui Zhao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Changliang Wang

29 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changliang Wang China 10 113 54 47 42 39 35 330
Ji Wang China 14 35 0.3× 78 1.4× 21 0.4× 41 1.0× 133 3.4× 93 675
Markus Cremer Germany 13 116 1.0× 24 0.4× 10 0.2× 157 3.7× 25 0.6× 34 645
Rubén Salvador Spain 12 103 0.9× 161 3.0× 44 0.9× 37 0.9× 41 1.1× 45 454
Vinh‐Thong Ta France 12 271 2.4× 69 1.3× 28 0.6× 13 0.3× 36 0.9× 28 606
Miao Li China 11 186 1.6× 107 2.0× 48 1.0× 105 2.5× 14 0.4× 58 464
Mulugeta Semework United States 6 72 0.6× 131 2.4× 21 0.4× 25 0.6× 11 0.3× 14 391
Wenxin Zhu China 10 73 0.6× 123 2.3× 55 1.2× 13 0.3× 10 0.3× 37 314
Firdaus Janoos United States 12 99 0.9× 110 2.0× 28 0.6× 14 0.3× 21 0.5× 32 351
Mousa Shamsi Iran 14 205 1.8× 86 1.6× 64 1.4× 45 1.1× 9 0.2× 69 619
Lori A. Dalton United States 13 48 0.4× 239 4.4× 10 0.2× 29 0.7× 44 1.1× 47 676

Countries citing papers authored by Changliang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Changliang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changliang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Changliang Wang. A scholar is included among the top collaborators of Changliang Wang 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 Changliang Wang. Changliang Wang 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
3.
Chen, Yuqi, Changliang Wang, Maoni Guo, et al.. (2025). MOGAD: Integrated Multi-Omics and Graph Attention for the Discovery of Alzheimer’s Disease’s Biomarkers. Informatics. 12(3). 68–68.
4.
Jin, Zunlong, et al.. (2025). The impact of contact angle on droplet breakup dynamics in a T-junction microchannel. Chemical Papers. 79(9). 6315–6332. 1 indexed citations
5.
Liu, Qingyun, Rong Zhang, Changliang Wang, et al.. (2025). A robust MRI water‐fat separation algorithm based on field map and fat fraction map smoothness. Medical Physics. 52(11). e70101–e70101.
6.
Wang, Changliang, et al.. (2024). Taylor bubble splitting, flow and coalescence in branching microchannels: An experimental and numerical simulation study. Chemical Engineering Journal. 486. 150231–150231. 4 indexed citations
7.
Yin, Xiaochun, Wenhao Xie, Hao Yuan, et al.. (2024). Multiple sub-impacts phenomenon and influences on responses of elastic-plastic beam. International Journal of Mechanical Sciences. 284. 109721–109721. 3 indexed citations
8.
Wang, Changliang, et al.. (2024). Association of proton-density fat fraction with osteoporosis: a systematic review and meta-analysis. Osteoporosis International. 35(12). 2077–2086.
9.
Zhou, Yufu, et al.. (2024). A novel method for highly linear gradient coil design based on stream function. Medical Physics. 51(10). 7180–7190.
10.
Liu, Lei, L. Zhao, Xi Wang, et al.. (2024). The influence of cerium or titanium addition on the corrosion resistance and discharge performance of Al − mg anode for aluminum − air batteries. Journal of Solid State Electrochemistry. 28(8). 2689–2701. 1 indexed citations
11.
Yin, Xiaochun, Hao Yuan, Wenhao Xie, et al.. (2024). Numerical and experimental analysis of the temperature field distribution in a full-scale 150t converter. Energy. 314. 134196–134196. 1 indexed citations
12.
Wang, Changliang, Maocheng Tian, Guanmin Zhang, & Jingzhi Zhang. (2023). Experimental analysis on the heat transfer performance of gas-liquid Taylor flow in a square microchannel. Applied Thermal Engineering. 228. 120537–120537. 8 indexed citations
13.
Yu, Bo, Xiaochun Yin, Changliang Wang, et al.. (2022). Analysis of plastic yield behavior during impact of a rigid sphere on an elastic-perfectly plastic half-space. International Journal of Mechanical Sciences. 237. 107774–107774. 8 indexed citations
15.
Liang, Shuaishuai, et al.. (2021). Microfluidic fabrication of ZrO2 microspheres using improved external gelation aided by polyacrylamide networks. Ceramics International. 47(15). 21576–21581. 9 indexed citations
16.
Zou, Jie, et al.. (2021). How time pressure and fingerprint complexity affect fingerprint examiner performance in an Eye Tracking Study. Forensic Science International. 328. 111007–111007. 4 indexed citations
17.
Wang, Xiaolong, Hao Yu, Changliang Wang, et al.. (2020). Chronic ethanol exposure induces neuroinflammation in H4 cells through TLR3 / NF-κB pathway and anxiety-like behavior in male C57BL/6 mice. Toxicology. 446. 152625–152625. 25 indexed citations
18.
Wang, Xiaolong, Hao Yu, Changliang Wang, et al.. (2018). Memantine can improve chronic ethanol exposure-induced spatial memory impairment in male C57BL/6 mice by reducing hippocampal apoptosis. Toxicology. 406-407. 21–32. 28 indexed citations
19.
Wang, Hongbo, Xiaolong Wang, Yan Li, et al.. (2018). Chronic ethanol exposure induces SK-N-SH cell apoptosis by increasing N-methyl-D-aspartic acid receptor expression and intracellular calcium. Experimental and Therapeutic Medicine. 15(4). 3791–3800. 11 indexed citations
20.
Eri, Qitai, et al.. (2010). A Fast and Efficiency Numerical Simulation Method for Supersonic Gas Processing. International Oil and Gas Conference and Exhibition in China. 2 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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