Zhaohui Liang

1.6k total citations
77 papers, 1.0k citations indexed

About

Zhaohui Liang is a scholar working on Complementary and alternative medicine, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhaohui Liang has authored 77 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Complementary and alternative medicine, 11 papers in Molecular Biology and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhaohui Liang's work include Traditional Chinese Medicine Studies (11 papers), Acupuncture Treatment Research Studies (11 papers) and COVID-19 diagnosis using AI (7 papers). Zhaohui Liang is often cited by papers focused on Traditional Chinese Medicine Studies (11 papers), Acupuncture Treatment Research Studies (11 papers) and COVID-19 diagnosis using AI (7 papers). Zhaohui Liang collaborates with scholars based in China, United States and Canada. Zhaohui Liang's co-authors include Jimmy Xiangji Huang, Wenbin Fu, Gang Zhang, Baohua Jiao, Shuai Wang, Xiaoping Zhu, Richard J. Maude, Md. Amir Hossain, Mahdieh Poostchi and Andrew J. Powell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and ACS Applied Materials & Interfaces.

In The Last Decade

Zhaohui Liang

75 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhaohui Liang China 18 258 226 202 182 152 77 1.0k
Shu Wang China 17 136 0.5× 504 2.2× 40 0.2× 146 0.8× 27 0.2× 96 1.4k
Steven Wang United States 16 342 1.3× 32 0.1× 47 0.2× 139 0.8× 71 0.5× 40 1.0k
Ruijie Zhang China 19 390 1.5× 76 0.3× 20 0.1× 82 0.5× 79 0.5× 86 1.1k
Xin Ge China 17 312 1.2× 484 2.1× 19 0.1× 49 0.3× 108 0.7× 90 1.3k
Chen Lin Taiwan 24 1.1k 4.4× 46 0.2× 52 0.3× 69 0.4× 172 1.1× 134 2.7k
Ruichen Liu China 12 207 0.8× 196 0.9× 18 0.1× 140 0.8× 70 0.5× 41 1.1k
Yingying Wang China 17 131 0.5× 133 0.6× 65 0.3× 40 0.2× 29 0.2× 73 978
Zhihao Zhang China 15 156 0.6× 126 0.6× 30 0.1× 70 0.4× 25 0.2× 50 841
Juan Zhang China 20 355 1.4× 312 1.4× 11 0.1× 293 1.6× 133 0.9× 127 1.6k

Countries citing papers authored by Zhaohui Liang

Since Specialization
Citations

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

Fields of papers citing papers by Zhaohui Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaohui Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaohui Liang. A scholar is included among the top collaborators of Zhaohui Liang 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 Zhaohui Liang. Zhaohui Liang 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.
Liang, Zhaohui, et al.. (2025). Molecular Ionic Composite Polymer Electrolytes for High-Voltage Batteries. ACS Applied Materials & Interfaces. 17(25). 36639–36649. 1 indexed citations
2.
Ma, Ke, et al.. (2025). Automated vehicle microscopic energy consumption study (AV-Micro): Data collection and model development. Energy. 320. 135096–135096. 5 indexed citations
3.
Tao, Lei, Hanrui Zhang, J. C. K. Lai, et al.. (2025). Revealing the roles of the solid–electrolyte interphase in designing stable, fast-charging, low-temperature Li-ion batteries. Proceedings of the National Academy of Sciences. 122(13). e2420398122–e2420398122. 3 indexed citations
4.
Liang, Zhaohui, Jihun Han, Xiaopeng Li, et al.. (2024). Testing Cellular Vehicle-to-Everything Communication Performance and Feasibility in Automated Vehicles *. 2917–2922. 1 indexed citations
5.
Shi, Haotian, et al.. (2024). Bi-scale car-following model calibration based on corridor-level trajectory. Transportation Research Part E Logistics and Transportation Review. 186. 103497–103497. 4 indexed citations
6.
Rajaraman, Sivaramakrishnan, Ghada Zamzmi, Feng Yang, et al.. (2024). Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric chest X-ray images. SHILAP Revista de lepidopterología. 3(1). e0000286–e0000286. 2 indexed citations
7.
Rajaraman, Sivaramakrishnan, Ghada Zamzmi, Feng Yang, et al.. (2024). Semantically redundant training data removal and deep model classification performance: A study with chest X-rays. Computerized Medical Imaging and Graphics. 115. 102379–102379. 2 indexed citations
8.
Liang, Zhaohui, Zhiyun Xue, Sivaramakrishnan Rajaraman, Feng Yang, & Sameer Antani. (2023). Automatic Quantification of COVID-19 Pulmonary Edema by Self-supervised Contrastive Learning. Lecture notes in computer science. 14307. 128–137. 1 indexed citations
9.
Li, Qianwen, Xiaopeng Li, Handong Yao, Zhaohui Liang, & Weijun Xie. (2023). Automated Vehicle Identification Based on Car-Following Data With Machine Learning. IEEE Transactions on Intelligent Transportation Systems. 24(12). 13893–13902. 6 indexed citations
10.
Li, Qianwen, Xiaopeng Li, Handong Yao, & Zhaohui Liang. (2021). Automated Vehicle Identification in Mixed Traffic. 1–5. 5 indexed citations
11.
Zhou, Sha, Hong Yang, Jun Zhang, et al.. (2020). Changes in Indoleamine 2,3-Dioxygenase 1 Expression and CD8+ Tumor-Infiltrating Lymphocytes after Neoadjuvant Chemoradiation Therapy and Prognostic Significance in Esophageal Squamous Cell Carcinoma. International Journal of Radiation Oncology*Biology*Physics. 108(1). 286–294. 18 indexed citations
12.
Liu, Liqiang, et al.. (2016). Slit2 and Robo1 expression as biomarkers for assessing prognosis in brain glioma patients. Surgical Oncology. 25(4). 405–410. 11 indexed citations
13.
Liang, Zhaohui, Jimmy Xiangji Huang, Xing Zeng, & Gang Zhang. (2016). DL-ADR: a novel deep learning model for classifying genomic variants into adverse drug reactions. BMC Medical Genomics. 9(S2). 48–48. 12 indexed citations
14.
Chen, Yuanfang, Nenggui Xu, Zhaohui Liang, et al.. (2013). Effects of acupuncture treatment on depression insomnia: a study protocol of a multicenter randomized controlled trial. Trials. 14(1). 2–2. 18 indexed citations
15.
Zhao, Yuanqi, Min Zhao, Zhaohui Liang, & Yefeng Cai. (2013). Development of clinical pathway for stroke management: An e-Delphi survey. 328–329.
16.
Wang, Shuai, et al.. (2013). Combined aberrant expression of microRNA-214 and UBC9 is an independent unfavorable prognostic factor for patients with gliomas. Medical Oncology. 31(1). 767–767. 23 indexed citations
17.
Wang, Shuai, et al.. (2013). Concomitant microRNA-31 downregulation and radixin upregulation predicts advanced tumor progression and unfavorable prognosis in patients with gliomas. Journal of the Neurological Sciences. 338(1-2). 71–76. 15 indexed citations
18.
Liang, Zhaohui, et al.. (2012). Decomposition valuation of complex real options embedded in creative financial leases. Economic Modelling. 29(6). 2627–2631. 5 indexed citations
19.
Wang, Xiaoyun, et al.. (2011). Principles of ethics review on traditional medicine and the practice of institute review board in China. Chinese Journal of Integrative Medicine. 17(8). 631–634. 8 indexed citations
20.
Zhang, Gang, et al.. (2007). Prior Knowledge SVM-based Intrusion Detection Framework. 489–493. 3 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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