Zeman Shao

568 total citations · 1 hit paper
13 papers, 229 citations indexed

About

Zeman Shao is a scholar working on Public Health, Environmental and Occupational Health, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zeman Shao has authored 13 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 6 papers in Biomedical Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zeman Shao's work include Nutritional Studies and Diet (7 papers), Advanced Chemical Sensor Technologies (5 papers) and Nutrition, Genetics, and Disease (1 paper). Zeman Shao is often cited by papers focused on Nutritional Studies and Diet (7 papers), Advanced Chemical Sensor Technologies (5 papers) and Nutrition, Genetics, and Disease (1 paper). Zeman Shao collaborates with scholars based in United States, Australia and China. Zeman Shao's co-authors include Fengqing Zhu, Jiangpeng He, Carol J. Boushey, Deborah A. Kerr, Janine Wright, Xizhi Wu, Heather A. Eicher‐Miller, Yue Han, Yanshan Wang and Alex E. Mohr and has published in prestigious journals such as Nutrients, Colloids and Surfaces B Biointerfaces and Advances in Nutrition.

In The Last Decade

Zeman Shao

10 papers receiving 223 citations

Hit Papers

A Scoping Review of Artificial Intelligence for Precision... 2025 2026 2025 5 10 15
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. A Scoping Review of Artificial Intelligence for Precision Nutrition
    2025 18 citations Xizhi Wu, David Oniani et al. Advances in Nutrition profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zeman Shao United States 7 86 69 48 47 22 13 229
Jiangpeng He United States 10 73 0.8× 119 1.7× 61 1.3× 92 2.0× 24 1.1× 31 279
Dario Allegra Italy 8 65 0.8× 25 0.4× 55 1.1× 88 1.9× 19 0.9× 27 242
Anand Mariappan United States 5 210 2.4× 22 0.3× 69 1.4× 58 1.2× 10 0.5× 11 312
Ville Huikari Finland 6 41 0.5× 31 0.4× 28 0.6× 73 1.6× 22 1.0× 6 234
Ya Lu Switzerland 9 147 1.7× 7 0.1× 57 1.2× 24 0.5× 17 0.8× 13 260
Eduardo Aguilar Chile 7 85 1.0× 30 0.4× 105 2.2× 41 0.9× 35 1.6× 21 185
Xiaoming Wei China 7 48 0.6× 27 0.4× 66 1.4× 60 1.3× 27 1.2× 15 203
Zhengdong Luo China 6 140 1.6× 31 0.4× 182 3.8× 91 1.9× 69 3.1× 8 346
Zhiling Wang China 6 115 1.3× 24 0.3× 145 3.0× 52 1.1× 74 3.4× 9 302
Chun Pong Lau United States 9 40 0.5× 72 1.0× 75 1.6× 130 2.8× 32 1.5× 23 274

Countries citing papers authored by Zeman Shao

Since Specialization
Citations

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

Fields of papers citing papers by Zeman Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeman Shao

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

All Works

13 of 13 papers shown
1.
2.
Shao, Zeman, et al.. (2025). Graded anthropomorphic pain perception electronic skin. Colloids and Surfaces B Biointerfaces. 251. 114635–114635.
3.
Wu, Xizhi, David Oniani, Zeman Shao, et al.. (2025). A Scoping Review of Artificial Intelligence for Precision Nutrition. Advances in Nutrition. 16(4). 100398–100398. 18 indexed citations breakdown →
4.
5.
He, Jiangpeng, et al.. (2024). Food Portion Estimation via 3D Object Scaling. 3741–3749. 3 indexed citations
6.
7.
Fialkowski, Marie K., et al.. (2022). An Active Image-Based Mobile Food Record Is Feasible for Capturing Eating Occasions among Infants Ages 3–12 Months Old in Hawai‘i. Nutrients. 14(5). 1075–1075. 4 indexed citations
8.
Shao, Zeman, et al.. (2022). Towards the creation of a nutrition and food group based image database. Electronic Imaging. 34(8). 301–1. 4 indexed citations
9.
Shao, Zeman, Yue Han, Jiangpeng He, et al.. (2021). An Integrated System for Mobile Image-Based Dietary Assessment. 19–23. 11 indexed citations
10.
He, Jiangpeng, Zeman Shao, Janine Wright, et al.. (2021). An End-to-End Food Image Analysis System. Electronic Imaging. 33(8). 285–1. 15 indexed citations
11.
He, Jiangpeng, et al.. (2020). Incremental Learning in Online Scenario. 13923–13932. 90 indexed citations
12.
He, Jiangpeng, Zeman Shao, Janine Wright, et al.. (2020). Multi-task Image-Based Dietary Assessment for Food Recognition and Portion Size Estimation. 49–54. 28 indexed citations
13.

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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