Zechun Liu

4.2k total citations · 1 hit paper
48 papers, 1.2k citations indexed

About

Zechun Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Zechun Liu has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 7 papers in Biomedical Engineering. Recurrent topics in Zechun Liu's work include Advanced Neural Network Applications (13 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Geology and Paleoclimatology Research (6 papers). Zechun Liu is often cited by papers focused on Advanced Neural Network Applications (13 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Geology and Paleoclimatology Research (6 papers). Zechun Liu collaborates with scholars based in China, United States and Hong Kong. Zechun Liu's co-authors include Kwang‐Ting Cheng, Zhiqiang Shen, Xin Yang, Xiangyu Zhang, Jian Sun, Zichao Guo, Haoyuan Mu, Marios Savvides, Eric P. Xing and Jie Qin and has published in prestigious journals such as Nucleic Acids Research, IEEE Transactions on Image Processing and Nano Energy.

In The Last Decade

Zechun Liu

42 papers receiving 1.1k citations

Hit Papers

MetaPruning: Meta Learning for Automatic Neural Network C... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zechun Liu China 17 567 537 103 92 80 48 1.2k
Chao Liang China 25 1.6k 2.9× 355 0.7× 222 2.2× 325 3.5× 25 0.3× 167 2.5k
Weihong Xu China 12 204 0.4× 399 0.7× 55 0.5× 61 0.7× 22 0.3× 39 956
Yazhou Liu China 17 369 0.7× 124 0.2× 18 0.2× 53 0.6× 23 0.3× 47 775
Zhenyu Lu China 12 152 0.3× 202 0.4× 38 0.4× 42 0.5× 19 0.2× 30 658
Wenbo Li China 16 508 0.9× 359 0.7× 42 0.4× 110 1.2× 13 0.2× 58 1.0k
Qicong Wang China 15 293 0.5× 116 0.2× 43 0.4× 66 0.7× 23 0.3× 69 689
Shu Zhang China 18 594 1.0× 309 0.6× 108 1.0× 86 0.9× 40 0.5× 115 1.5k
Decheng Liu China 25 966 1.7× 128 0.2× 54 0.5× 87 0.9× 10 0.1× 87 1.6k

Countries citing papers authored by Zechun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Zechun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zechun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Zechun Liu. A scholar is included among the top collaborators of Zechun 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 Zechun Liu. Zechun 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.
Yang, Lihong, Zechun Liu, Kin Liao, et al.. (2025). Micro-nano fibers with core-shell structure for enhancing flame retardancy and high-temperature resistance of biodegradable triboelectric materials. Nano Energy. 138. 110848–110848. 5 indexed citations
2.
Gu, Qian, Yan Lin, Yi‐Ling Chen, et al.. (2025). From leaf to blend: CNN-enhanced multi-source feature fusion enables threshold-driven style control in digital tobacco formulation. Biotechnology for Biofuels and Bioproducts. 18(1). 104–104.
3.
Yang, Lihong, Zechun Liu, Kin Liao, et al.. (2025). Triple-enhanced triboelectric materials driven by carboxylated multi-walled carbon nanotubes: Flame retardancy, triboelectricity, and mechanical property. Composites Part B Engineering. 309. 113091–113091.
4.
Zhao, Yan, Jianping Zhang, Qinghui Wu, et al.. (2025). Recent Advances in Pectin Extraction Techniques, Characterization, and Applications. BIO Web of Conferences. 182. 1015–1015.
5.
Huang, Xijie, et al.. (2024). RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 7563–7576. 2 indexed citations
6.
Jawahar, Ganesh, Haichuan Yang, Yunyang Xiong, et al.. (2024). Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. 10424–10443.
7.
Liu, Zechun, Barlas Oğuz, Ernie Chang, et al.. (2024). LLM-QAT: Data-Free Quantization Aware Training for Large Language Models. 467–484. 46 indexed citations
8.
Liu, Zechun, et al.. (2024). Electrospun PVDF-Based Polymers for Lithium-Ion Battery Separators: A Review. Polymers. 16(20). 2895–2895. 5 indexed citations
9.
Liu, Zechun, et al.. (2023). LLM-FP4: 4-Bit Floating-Point Quantized Transformers. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 592–605. 16 indexed citations
10.
Yang, Xinyu, Zechun Liu, Jianping Zhang, et al.. (2022). Boosting production of useful chemicals and micro-mesopores biochar from in situ catalytic pyrolysis of cellulose with red mud. Biomass Conversion and Biorefinery. 14(5). 7045–7055. 10 indexed citations
11.
Yang, Xinyu, Jianping Zhang, Jie Zheng, et al.. (2022). In-situ and ex-situ catalytic pyrolysis of cellulose to produce furans over red mud-supported transition metal catalysts. Journal of Analytical and Applied Pyrolysis. 169. 105830–105830. 32 indexed citations
12.
Yang, Xinyu, Zechun Liu, Xingyong Li, et al.. (2022). Two-step strategy for the comprehensive utilization of tobacco stem. Chemical Papers. 77(4). 1797–1808. 11 indexed citations
13.
Yang, Ming‐Yu, Zechun Liu, Jianping Zhang, et al.. (2022). Simultaneous quantification of cellulose and pectin in tobacco using a robust solid-state NMR method. Carbohydrate Research. 521. 108676–108676. 13 indexed citations
14.
Shen, Zhiqiang, Zechun Liu, Dejia Xu, et al.. (2021). Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study. arXiv (Cornell University). 17 indexed citations
15.
Yin, Chao, Xiaohua Deng, Zhiqiang Yu, et al.. (2021). Auto-classification of biomass through characterization of their pyrolysis behaviors using thermogravimetric analysis with support vector machine algorithm: case study for tobacco. Biotechnology for Biofuels. 14(1). 106–106. 16 indexed citations
16.
Liu, Zechun, et al.. (2019). Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 32. 7531–7542. 10 indexed citations
17.
Liu, Zechun, Haoyuan Mu, Xiangyu Zhang, et al.. (2019). MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3295–3304. 318 indexed citations breakdown →
18.
Li, Qiaoling, et al.. (2016). TGA-based analysis of pyrolysis differential between different tobacco samples. Tobacco Science & Technology. 1 indexed citations
19.
He, Bifang, Guoshi Chai, Zhiqiang Yan, et al.. (2015). BDB: biopanning data bank. Nucleic Acids Research. 44(D1). D1127–D1132. 71 indexed citations
20.
Wang, Yongjin, et al.. (1999). Discussion on Nanjing Man^s age. Acta Anthropologica Sinica. 18(4). 255–262. 7 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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