Dandan Pu

1.9k total citations · 2 hit papers
42 papers, 1.4k citations indexed

About

Dandan Pu is a scholar working on Nutrition and Dietetics, Biomedical Engineering and Animal Science and Zoology. According to data from OpenAlex, Dandan Pu has authored 42 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Nutrition and Dietetics, 21 papers in Biomedical Engineering and 19 papers in Animal Science and Zoology. Recurrent topics in Dandan Pu's work include Biochemical Analysis and Sensing Techniques (22 papers), Advanced Chemical Sensor Technologies (21 papers) and Meat and Animal Product Quality (19 papers). Dandan Pu is often cited by papers focused on Biochemical Analysis and Sensing Techniques (22 papers), Advanced Chemical Sensor Technologies (21 papers) and Meat and Animal Product Quality (19 papers). Dandan Pu collaborates with scholars based in China, Hong Kong and Macao. Dandan Pu's co-authors include Yuyu Zhang, Baoguo Sun, Fazheng Ren, Haitao Chen, Yizhuang Tang, Yan Huang, Yimeng Shan, Huiying Zhang, Huiying Zhang and Lili Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Agricultural and Food Chemistry.

In The Last Decade

Dandan Pu

41 papers receiving 1.4k citations

Hit Papers

Recent advances and application of machine learning in fo... 2023 2026 2024 2025 2023 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dandan Pu China 20 630 587 430 410 284 42 1.4k
Yunzi Feng China 23 1.2k 2.0× 626 1.1× 324 0.8× 397 1.0× 512 1.8× 52 1.9k
Shuang Bi China 19 870 1.4× 438 0.7× 187 0.4× 288 0.7× 241 0.8× 40 1.3k
Tingting Zou China 18 352 0.6× 278 0.5× 229 0.5× 308 0.8× 296 1.0× 33 914
Philippe Pollien Switzerland 19 801 1.3× 210 0.4× 443 1.0× 218 0.5× 122 0.4× 35 1.3k
Haiyan Yu China 22 1.2k 1.8× 326 0.6× 181 0.4× 276 0.7× 297 1.0× 50 1.4k
Jianbin Liu China 7 387 0.6× 249 0.4× 210 0.5× 274 0.7× 201 0.7× 9 786
Teng Hui China 23 635 1.0× 248 0.4× 387 0.9× 877 2.1× 285 1.0× 55 1.4k
Anupam Giri Japan 17 408 0.6× 155 0.3× 223 0.5× 425 1.0× 334 1.2× 28 1.1k
E. Guichard France 14 693 1.1× 297 0.5× 174 0.4× 214 0.5× 115 0.4× 20 1.0k

Countries citing papers authored by Dandan Pu

Since Specialization
Citations

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

Fields of papers citing papers by Dandan Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dandan Pu

This figure shows the co-authorship network connecting the top 25 collaborators of Dandan Pu. A scholar is included among the top collaborators of Dandan Pu 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 Dandan Pu. Dandan Pu 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.
Ji, Huizhuo, Dandan Pu, Qingchuan Zhang, et al.. (2025). Computational approaches for decoding structure-saltiness enhancement and aroma perception mechanisms of odorants: From machine learning to molecular simulation. Food Research International. 202. 115707–115707. 8 indexed citations
2.
Chen, Jiahui, et al.. (2025). Effect of Temperature and Water Addition Ratio on the Aroma Release of Yeast Proteins. Foods. 14(6). 1037–1037. 1 indexed citations
3.
Zhao, Kun, Zikang Xu, Yiyang Li, et al.. (2025). Advances in screening of saltiness-enhancing odorants: Transitioning from conventional sensory evaluation to intelligent high-throughput techniques. Trends in Food Science & Technology. 166. 105397–105397. 1 indexed citations
4.
Pu, Dandan, et al.. (2025). Characterization of the aroma variances of duck broth from different part by HS-SPME-GC-MS, HS-GC-IMS and sensory evaluation. Food Chemistry X. 29. 102789–102789. 1 indexed citations
5.
Pu, Dandan, Zikang Xu, Lili Zhang, et al.. (2024). Decoding of the enhancement of saltiness perception by aroma-active compounds during Hunan Larou (smoke-cured bacon) oral processing. Food Chemistry. 463(Pt 1). 141029–141029. 26 indexed citations
6.
Peng, Qiang, Yu Chen, Tingting Xie, et al.. (2024). PiRNA-4447944 promotes castration-resistant growth and metastasis of prostate cancer by inhibiting NEFH expression through forming the piRNA-4447944-PIWIL2-NEFH complex. International Journal of Biological Sciences. 20(9). 3638–3655. 6 indexed citations
7.
Xiong, Xin, et al.. (2024). DeSide: A unified deep learning approach for cellular deconvolution of tumor microenvironment. Proceedings of the National Academy of Sciences. 121(46). e2407096121–e2407096121. 3 indexed citations
9.
Shan, Yimeng, Dandan Pu, Pei Li, et al.. (2024). Elucidating salt-reduction mechanisms of aroma-active compounds from yeast extracts through sensomics approaches and electroencephalography. Food Chemistry X. 22. 101339–101339. 13 indexed citations
12.
Ji, Huizhuo, Dandan Pu, Wenjing Yan, et al.. (2024). Effectively saltiness enhanced odorants screening and prediction by database establish, sensory evaluation and deep learning method. Food Chemistry. 467. 142307–142307. 15 indexed citations
13.
Shitong, Zeng, Lili Zhang, Peng Li, et al.. (2023). Molecular mechanisms of caramel-like odorant-olfactory receptor interactions based on a computational chemistry approach. Food Research International. 171. 113063–113063. 35 indexed citations
14.
Chen, Jiahui, Dandan Pu, Baoguo Sun, et al.. (2023). Characterization of the Key Aroma Compounds in Different Yeast Proteins by GC-MS/O, Sensory Evaluation, and E-Nose. Foods. 12(16). 3136–3136. 8 indexed citations
15.
Pu, Dandan, et al.. (2022). Research Progress on Aroma Compounds and Biological Activity and Their Metabolic Pathways in Litsea pungens Hemsl. SHILAP Revista de lepidopterología. 2 indexed citations
16.
Pu, Dandan, et al.. (2022). Development of an Effective Protocol for Evaluating the Saltiness Intensity Enhancement of Umami Compounds. Journal of Agricultural and Food Chemistry. 71(1). 700–709. 25 indexed citations
17.
Zhang, Huiying, Dian Huang, Dandan Pu, et al.. (2020). Multivariate relationships among sensory attributes and volatile components in commercial dry porcini mushrooms (Boletus edulis). Food Research International. 133. 109112–109112. 60 indexed citations
18.
Pu, Dandan, Wen Duan, Yan Huang, et al.. (2020). Characterization of the key odorants contributing to retronasal olfaction during bread consumption. Food Chemistry. 318. 126520–126520. 86 indexed citations
19.
Pu, Dandan, Huiying Zhang, Yuyu Zhang, et al.. (2019). Characterization of the oral breakdown, sensory properties, and volatile release during mastication of white bread. Food Chemistry. 298. 125003–125003. 48 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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