Juzhong Tan

1.1k total citations · 1 hit paper
30 papers, 826 citations indexed

About

Juzhong Tan is a scholar working on Food Science, Biotechnology and Biomedical Engineering. According to data from OpenAlex, Juzhong Tan has authored 30 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Food Science, 7 papers in Biotechnology and 5 papers in Biomedical Engineering. Recurrent topics in Juzhong Tan's work include Proteins in Food Systems (7 papers), Food Chemistry and Fat Analysis (5 papers) and Advanced Chemical Sensor Technologies (4 papers). Juzhong Tan is often cited by papers focused on Proteins in Food Systems (7 papers), Food Chemistry and Fat Analysis (5 papers) and Advanced Chemical Sensor Technologies (4 papers). Juzhong Tan collaborates with scholars based in United States, China and Egypt. Juzhong Tan's co-authors include Jie Xu, William L. Kerr, Mukund V. Karwe, Helen S. Joyner, Deepti Salvi, Pathmanathan Umaharan, Kang Huang, Nitin Nitin, Juming Tang and Peng Xu and has published in prestigious journals such as Trends in Food Science & Technology, Journal of Food Engineering and Journal of Food Science.

In The Last Decade

Juzhong Tan

29 papers receiving 800 citations

Hit Papers

Applications of electronic nose (e-nose) and electronic t... 2020 2026 2022 2024 2020 100 200 300
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. Applications of electronic nose (e-nose) and electronic tongue (e-tongue) in food quality-related properties determination: A review
    2020 366 citations Juzhong Tan, Jie Xu Artificial Intelligence in Agriculture profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juzhong Tan United States 14 336 308 135 124 111 30 826
Xiaowei Huang China 20 441 1.3× 181 0.6× 250 1.9× 155 1.3× 64 0.6× 67 1.2k
Marta Castro‐Giráldez Spain 21 216 0.6× 495 1.6× 117 0.9× 211 1.7× 96 0.9× 49 935
Zhilin Gan China 15 89 0.3× 294 1.0× 69 0.5× 65 0.5× 63 0.6× 23 861
Noriyuki Igura Japan 17 130 0.4× 303 1.0× 93 0.7× 46 0.4× 90 0.8× 63 779
Kiyohiko Toyoda Japan 14 307 0.9× 159 0.5× 100 0.7× 251 2.0× 64 0.6× 38 1.0k
Liwen Jiang China 19 244 0.7× 473 1.5× 52 0.4× 190 1.5× 173 1.6× 67 1.1k
Rishi Bhardwaj India 7 286 0.9× 160 0.5× 123 0.9× 57 0.5× 27 0.2× 9 663
Jayendra K. Amamcharla United States 19 150 0.4× 419 1.4× 44 0.3× 131 1.1× 97 0.9× 77 862
Houcine Mhemdi France 17 152 0.5× 377 1.2× 48 0.4× 39 0.3× 92 0.8× 40 874
Madhuresh Dwivedi India 19 114 0.3× 569 1.8× 42 0.3× 71 0.6× 318 2.9× 72 1.2k

Countries citing papers authored by Juzhong Tan

Since Specialization
Citations

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

Fields of papers citing papers by Juzhong Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juzhong Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Juzhong Tan. A scholar is included among the top collaborators of Juzhong Tan 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 Juzhong Tan. Juzhong Tan 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
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Zhao, Liping, et al.. (2024). Effects of processed oats and pinto beans on the composition of human gut microbiome: An in vitro study. Bioactive Carbohydrates and Dietary Fibre. 32. 100434–100434. 2 indexed citations
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Li, Lijun, et al.. (2024). Modelling and nondestructive quality prediction of Guanxi Honey Red Pomelo (<i>Citrus grandis</i> (L.) Osbeck) based on shape characteristics and bitterness. Quality Assurance and Safety of Crops & Foods. 16(3). 127–138. 1 indexed citations
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Tan, Juzhong, et al.. (2023). Growth of Hydroponic Sweet Basil (O. basilicum L.) Using Plasma-Activated Nutrient Solution (PANS). Agriculture. 13(2). 443–443. 14 indexed citations
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El‐Sharkawy, Islam, et al.. (2023). Investigation of Antioxidant and Cytotoxicity Activities of Chocolate Fortified with Muscadine Grape Pomace. Foods. 12(17). 3153–3153. 3 indexed citations
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Xu, Peng & Juzhong Tan. (2023). Inactivation and removal of Klebsiella michiganensis biofilm attached to the inner surfaces of piping by plasma-activated microbubble water (PMBW). Innovative Food Science & Emerging Technologies. 86. 103360–103360. 6 indexed citations
8.
Salvi, Deepti, et al.. (2023). Efficacy of cold plasma-activated water as an environmentally friendly sanitizer in egg washing. Poultry Science. 102(10). 102893–102893. 10 indexed citations
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El‐Sharkawy, Islam, et al.. (2022). Rapid determination of the roasting degree of cocoa beans by extreme learning machine (ELM)-based imaging analysis. Journal of Agriculture and Food Research. 10. 100437–100437. 8 indexed citations
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Tan, Juzhong & Mukund V. Karwe. (2021). Inactivation of Enterobacter aerogenes on the surfaces of fresh-cut purple lettuce, kale, and baby spinach leaves using plasma activated mist (PAM). Innovative Food Science & Emerging Technologies. 74. 102868–102868. 19 indexed citations
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Tan, Juzhong, et al.. (2021). Distribution of chlorine sanitizer in a flume tank: Numerical predictions and experimental validation. LWT. 155. 112888–112888. 4 indexed citations
14.
Huang, Kang, et al.. (2020). Role of contaminated organic particles in cross-contamination of fresh produce during washing and sanitation. Postharvest Biology and Technology. 168. 111283–111283. 21 indexed citations
15.
Tan, Juzhong & Jie Xu. (2020). Applications of electronic nose (e-nose) and electronic tongue (e-tongue) in food quality-related properties determination: A review. Artificial Intelligence in Agriculture. 4. 104–115. 366 indexed citations breakdown →
16.
Tan, Juzhong & Helen S. Joyner. (2019). Characterizing wear behaviors of edible hydrogels by kernel-based statistical modeling. Journal of Food Engineering. 275. 109850–109850. 4 indexed citations
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Tan, Juzhong & William L. Kerr. (2019). Characterizing cocoa refining by electronic nose using a Kernel distribution model. LWT. 104. 1–7. 38 indexed citations
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Tan, Juzhong & William L. Kerr. (2018). Determining degree of roasting in cocoa beans by artificial neural network (ANN)‐based electronic nose system and gas chromatography/mass spectrometry (GC/MS). Journal of the Science of Food and Agriculture. 98(10). 3851–3859. 53 indexed citations
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Tan, Juzhong & William L. Kerr. (2016). Determination of glass transitions in boiled candies by capacitance based thermal analysis (CTA) and genetic algorithm (GA). Journal of Food Engineering. 193. 68–75. 24 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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