Jiawei Mao

426 total citations · 1 hit paper
21 papers, 275 citations indexed

About

Jiawei Mao is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Spectroscopy. According to data from OpenAlex, Jiawei Mao has authored 21 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Spectroscopy. Recurrent topics in Jiawei Mao's work include Glycosylation and Glycoproteins Research (4 papers), Advanced Proteomics Techniques and Applications (4 papers) and Advanced Neural Network Applications (4 papers). Jiawei Mao is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Advanced Proteomics Techniques and Applications (4 papers) and Advanced Neural Network Applications (4 papers). Jiawei Mao collaborates with scholars based in China, United States and Singapore. Jiawei Mao's co-authors include Subrata Panda, Wenjiang Ding, Jianxin Zou, Tianping Huang, Xuesong Yin, Yigang Wang, Guang Huang, Hanfa Zou, Fangjun Wang and Kai Cheng and has published in prestigious journals such as Physical Review Letters, Analytical Chemistry and Scientific Reports.

In The Last Decade

Jiawei Mao

17 papers receiving 272 citations

Hit Papers

POSTER++: A simpler and stronger facial expression recogn... 2024 2026 2025 2024 10 20 30 40
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.

  1. POSTER++: A simpler and stronger facial expression recognition network
    2024 43 citations Jiawei Mao, Xuesong Yin et al. Pattern Recognition profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiawei Mao China 9 107 65 59 39 27 21 275
Şahın Uyaver Türkiye 11 84 0.8× 45 0.7× 39 0.7× 36 0.9× 15 0.6× 29 418
Mengqing Li China 12 100 0.9× 160 2.5× 31 0.5× 5 0.1× 2 0.1× 38 420
Hyeongju Kim South Korea 7 67 0.6× 139 2.1× 48 0.8× 27 0.7× 7 0.3× 15 323
Felix Müller Germany 8 111 1.0× 41 0.6× 4 0.1× 14 0.4× 5 0.2× 17 310
Tetsuro Shiiba Japan 12 209 2.0× 74 1.1× 28 0.5× 19 0.5× 5 0.2× 23 410
Keiko Yamamoto Japan 9 89 0.8× 112 1.7× 128 2.2× 18 0.5× 7 0.3× 30 389
Pengyong Li China 10 274 2.6× 210 3.2× 13 0.2× 13 0.3× 8 0.3× 22 526
Tian Li China 12 173 1.6× 68 1.0× 13 0.2× 10 0.3× 4 0.1× 24 443
K. Nirmala India 10 53 0.5× 65 1.0× 5 0.1× 59 1.5× 1 0.0× 50 325

Countries citing papers authored by Jiawei Mao

Since Specialization
Citations

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

Fields of papers citing papers by Jiawei Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiawei Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Jiawei Mao. A scholar is included among the top collaborators of Jiawei Mao 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 Jiawei Mao. Jiawei Mao 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.
Mao, Jiawei, et al.. (2025). Optimized connections and feature interactions for more efficient single-image desnowing. Applied Soft Computing. 177. 113153–113153.
2.
Wen, Zhihui, Penglin Gao, Jiawei Mao, et al.. (2025). Compact Metaplate with Bound State in the Continuum: From Quasisymmetry to Symmetry. Physical Review Letters. 135(8). 87201–87201.
3.
4.
Mao, Jiawei, et al.. (2024). POSTER++: A simpler and stronger facial expression recognition network. Pattern Recognition. 157. 110951–110951. 43 indexed citations breakdown →
5.
6.
Mao, Jiawei, et al.. (2024). Medical supervised masked autoencoder: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classification. Applied Soft Computing. 169. 112536–112536. 1 indexed citations
7.
Mao, Jiawei, et al.. (2024). Power equipment supplier evaluation under a q-rung orthopair fuzzy set based decision making model. Heliyon. 10(22). e40390–e40390. 1 indexed citations
8.
Bajpai, Akhilesh Kumar, Fengxia Wu, Lin Xu, et al.. (2024). 5-methylcytosine RNA modification regulators-based patterns and features of immune microenvironment in acute myeloid leukemia. Aging. 16(3). 2340–2361. 4 indexed citations
9.
Xu, Yan, Yuxuan Wang, Muhammad Aamir Manzoor, et al.. (2023). Strigolactone and salicylic acid regulate the expression of multiple stress-related genes and enhance the drought resistance of cherry rootstocks. Scientia Horticulturae. 313. 111827–111827. 8 indexed citations
10.
Wang, Yunhan, Boyu Zhang, Jia Ge, et al.. (2023). Predicting Prognosis and Immunotherapy Response in Multiple Cancers Based on the Association of PANoptosis-Related Genes with Tumor Heterogeneity. Genes. 14(11). 1994–1994. 5 indexed citations
11.
12.
Xu, Yuyu, Huiying Liu, Xiaoxiang Wu, et al.. (2023). A two-step deep learning method for 3DCT-2DUS kidney registration during breathing. Scientific Reports. 13(1). 12846–12846. 2 indexed citations
13.
Mao, Jiawei, et al.. (2022). Pseudo-labeling generative adversarial networks for medical image classification. Computers in Biology and Medicine. 147. 105729–105729. 24 indexed citations
14.
Mao, Jiawei, Tianping Huang, Subrata Panda, Jianxin Zou, & Wenjiang Ding. (2021). Direct observations of diffusion controlled microstructure transition in Mg-In/Mg-Ag ultrafine particles with enhanced hydrogen storage and hydrolysis properties. Chemical Engineering Journal. 418. 129301–129301. 50 indexed citations
15.
Wang, Qi, et al.. (2020). Selective enrichment of N-terminal proline peptides via hydrazide chemistry for proteomics analysis. Analytica Chimica Acta. 1142. 48–55. 11 indexed citations
16.
Liu, Zhen, Qi Wang, Jiawei Mao, et al.. (2020). Comparative proteomic analysis of protein methylation provides insight into the resistance of hepatocellular carcinoma to 5-fluorouracil. Journal of Proteomics. 219. 103738–103738. 5 indexed citations
17.
Li, Xin, Guiju Xu, Jiaxi Peng, et al.. (2018). Highly Porous Metal-Free Graphitic Carbon Derived from Metal–Organic Framework for Profiling of N-Linked Glycans. ACS Applied Materials & Interfaces. 10(14). 11896–11906. 38 indexed citations
18.
Huang, Junfeng, Hongqiang Qin, Zhen Sun, et al.. (2015). A peptide N-terminal protection strategy for comprehensive glycoproteome analysis using hydrazide chemistry based method. Scientific Reports. 5(1). 10164–10164. 38 indexed citations
19.
Zhang, Zhang, Deguang Sun, Yuting Cong, et al.. (2015). Amine Chemistry Method for Selective Enrichment of N-Linked Glycopeptides for Glycoproteomics Analysis. Journal of Proteome Research. 14(9). 3892–3899. 13 indexed citations
20.
Liu, Jing, Fangjun Wang, Jiawei Mao, et al.. (2015). High-Sensitivity N-Glycoproteomic Analysis of Mouse Brain Tissue by Protein Extraction with a Mild Detergent of N-Dodecyl β-D-Maltoside. Analytical Chemistry. 87(4). 2054–2057. 29 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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