Yunhao Tang

1.4k total citations
25 papers, 158 citations indexed

About

Yunhao Tang is a scholar working on Public Health, Environmental and Occupational Health, Artificial Intelligence and Physiology. According to data from OpenAlex, Yunhao Tang has authored 25 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Public Health, Environmental and Occupational Health, 7 papers in Artificial Intelligence and 6 papers in Physiology. Recurrent topics in Yunhao Tang's work include Nutritional Studies and Diet (11 papers), Diet and metabolism studies (6 papers) and Colorectal Cancer Screening and Detection (5 papers). Yunhao Tang is often cited by papers focused on Nutritional Studies and Diet (11 papers), Diet and metabolism studies (6 papers) and Colorectal Cancer Screening and Detection (5 papers). Yunhao Tang collaborates with scholars based in China, United States and United Kingdom. Yunhao Tang's co-authors include Shipra Agrawal, Linglong Peng, Xiang Ling, Yaxu Wang, Haitao Gu, Yahui Jiang, Yuri Faenza, Krzysztof Choromański, Zhiyong Zhu and Wenbo Gao and has published in prestigious journals such as BMC Medicine, Cancer Epidemiology Biomarkers & Prevention and Cancer Science.

In The Last Decade

Yunhao Tang

20 papers receiving 155 citations

Peers

Yunhao Tang

PHEOH

PHYSI

CVPR

EEE

Sanchit Gupta India

Sujatha Canavoy Narahari India

Trung Kien Tran Vietnam

Xiaoyao Yin China

Cho-Tsan Bau Taiwan

Feng Yue China

G. Gopakumar India

Devendra Singh Dhami Germany

Madhumala Ghosh India

Vladimir Kovačević Serbia

Sanchit Gupta India

Yunhao Tang

45 ×0.9

PHEOH

22 ×0.5

17 ×0.5

PHYSI

13 ×0.7

CVPR

11 ×0.6

EEE

Citations per year, relative to Yunhao Tang Yunhao Tang (= 1×) peers Sanchit Gupta

Countries citing papers authored by Yunhao Tang

Since Specialization

Citations

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

Fields of papers citing papers by Yunhao Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunhao Tang

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

All Works

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20 of 20 papers shown

Qi, Wei, Mingying Yang, Xiang Ling, et al.. (2025). Adherence to the EAT-Lancet diet reduces the risk of renal cancer: Results from a population-based prospective study. Public Health. 244. 105739–105739. 1 indexed citations

Tang, Yunhao, et al.. (2025). A Deep Learning Approach for Transient Electromagnetic Data Denoising, Inversion and Uncertainty Analysis With Monte Carlo Dropout Technique. Geophysical Prospecting. 73(6).

Ren, Xiaorui, Xin Li, Linglong Peng, et al.. (2024). Association between sulfur microbial diet and the risk of esophageal cancer: a prospective cohort study in 101,752 American adults. Nutrition Journal. 23(1). 139–139.

Ling, Xiang, Yahui Jiang, Yunhao Tang, et al.. (2024). Carbohydrate quality, not quantity, linked to reduced colorectal cancer incidence and mortality in US populations: evidence from a prospective study. BMC Medicine. 22(1). 97–97. 2 indexed citations

Tang, Yunhao. (2024). The value and implementation path of smart media technology application in the cultural heritage of ethnic traditional sports. Environment and Social Psychology. 9(6).

Ren, Xiaorui, Shi-Jiang Deng, Haitao Gu, et al.. (2024). Positive associations between dietary potential acid load and renal cancer incidence and mortality: Results from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening trial. Public Health. 238. 229–238. 1 indexed citations

Tang, Yunhao, et al.. (2023). Association between Dietary Anthocyanidins and Biliary Cancer Risk in 98,458 Participants: Results from a Prospective Study. Cancer Epidemiology Biomarkers & Prevention. 33(1). 151–157. 1 indexed citations

Peng, Linglong, et al.. (2023). Association between adherence to Eat‐Lancet diet and incidence and mortality of lung cancer: A prospective cohort study. Cancer Science. 114(11). 4433–4444. 17 indexed citations

Gu, Haitao, Bo Li, Xiang Ling, et al.. (2023). Association between oxidative stress exposure and colorectal cancer risk in 98,395 participants: results from a prospective study. Frontiers in Nutrition. 10. 1284066–1284066. 10 indexed citations

10.

Peng, Linglong, Haitao Gu, Yunhao Tang, et al.. (2023). Association between dietary approaches to stop hypertension eating pattern and lung cancer risk in 98,459 participants: results from a large prospective study. Frontiers in Nutrition. 10. 1142067–1142067. 4 indexed citations

11.

Peng, Linglong, He Zhou, Haitao Gu, et al.. (2023). Low‐fat dairy consumption and the risk of lung cancer: A large prospective cohort study. Cancer Medicine. 12(15). 16558–16569. 5 indexed citations

12.

Ling, Xiang, Haitao Gu, Xiaorui Ren, et al.. (2023). Association between sulfur microbial diet and the risk of colorectal cancer precursors in older adults. Frontiers in Nutrition. 10. 1167372–1167372.

13.

Ren, Xiaorui, Linglong Peng, Haitao Gu, et al.. (2023). Compliance with the EAT-Lancet diet and risk of colorectal cancer: a prospective cohort study in 98,415 American adults. Frontiers in Nutrition. 10. 1264178–1264178. 6 indexed citations

14.

Wang, Yaxu, et al.. (2023). Adherence to the Paleolithic diet and Paleolithic-like lifestyle reduce the risk of colorectal cancer in the United States: a prospective cohort study. Journal of Translational Medicine. 21(1). 482–482. 4 indexed citations

15.

Peng, Linglong, Xiang Ling, Haitao Gu, et al.. (2022). Association between low-fat diet and liver cancer risk in 98,455 participants: Results from a prospective study. Frontiers in Nutrition. 9. 1013643–1013643. 12 indexed citations

16.

Tang, Yunhao. (2021). Guiding Evolutionary Strategies with Off-Policy Actor-Critic. Autonomous Agents and Multi-Agent Systems. 1317–1325. 1 indexed citations

17.

Song, Xingyou, Wenbo Gao, Yuxiang Yang, et al.. (2020). ES-MAML: Simple Hessian-Free Meta Learning. International Conference on Learning Representations. 12 indexed citations

18.

Tang, Yunhao, Shipra Agrawal, & Yuri Faenza. (2020). Reinforcement Learning for Integer Programming: Learning to Cut. arXiv (Cornell University). 1. 9367–9376. 11 indexed citations

19.

Tang, Yunhao & Shipra Agrawal. (2020). Discretizing Continuous Action Space for On-Policy Optimization. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 5981–5988. 45 indexed citations

20.

Choromański, Krzysztof, Aldo Pacchiano, Jeffrey Pennington, & Yunhao Tang. (2019). KAMA-NNs: low-dimensional rotation based neural networks. International Conference on Artificial Intelligence and Statistics. 236–245. 1 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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