Ji Ma

3.2k total citations
62 papers, 2.7k citations indexed

About

Ji Ma is a scholar working on Analytical Chemistry, Animal Science and Zoology and Biomedical Engineering. According to data from OpenAlex, Ji Ma has authored 62 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Analytical Chemistry, 27 papers in Animal Science and Zoology and 19 papers in Biomedical Engineering. Recurrent topics in Ji Ma's work include Spectroscopy and Chemometric Analyses (28 papers), Meat and Animal Product Quality (27 papers) and Advanced Chemical Sensor Technologies (18 papers). Ji Ma is often cited by papers focused on Spectroscopy and Chemometric Analyses (28 papers), Meat and Animal Product Quality (27 papers) and Advanced Chemical Sensor Technologies (18 papers). Ji Ma collaborates with scholars based in China, Ireland and United Kingdom. Ji Ma's co-authors include Da‐Wen Sun, Hongbin Pu, Jun‐Hu Cheng, Jia-Huan Qu, Yuandong Lin, Wenyang Zhang, Xin‐An Zeng, Qijun Wang, Qingyi Wei and Dan Liu and has published in prestigious journals such as Chemical Society Reviews, Food Chemistry and IEEE Transactions on Image Processing.

In The Last Decade

Ji Ma

57 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji Ma China 30 1.3k 1.1k 829 561 474 62 2.7k
Jiewen Zhao China 23 928 0.7× 882 0.8× 349 0.4× 430 0.8× 268 0.6× 41 1.9k
Jianrong Cai China 25 900 0.7× 750 0.7× 319 0.4× 577 1.0× 318 0.7× 80 2.1k
Muhammad Zareef China 35 1.3k 0.9× 1.3k 1.2× 268 0.3× 775 1.4× 386 0.8× 112 3.0k
Xingyi Huang China 36 1.4k 1.0× 1.9k 1.8× 588 0.7× 1.2k 2.1× 610 1.3× 125 3.8k
Yongliang Liu United States 33 1.2k 0.9× 829 0.8× 452 0.5× 265 0.5× 174 0.4× 128 2.8k
Jacqueline Sedman Canada 32 1.4k 1.1× 947 0.9× 436 0.5× 334 0.6× 567 1.2× 79 2.7k
Mohammed Kamruzzaman United States 29 2.8k 2.1× 1.6k 1.5× 1.2k 1.5× 778 1.4× 430 0.9× 98 3.7k
F.R. van de Voort Canada 32 1.5k 1.1× 1.1k 1.0× 592 0.7× 440 0.8× 881 1.9× 134 3.4k
Alessandro Ulrici Italy 35 1.2k 0.9× 964 0.9× 353 0.4× 412 0.7× 642 1.4× 127 3.0k
Leiqing Pan China 33 1.7k 1.3× 1.1k 1.1× 420 0.5× 571 1.0× 833 1.8× 184 3.5k

Countries citing papers authored by Ji Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ji Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Ma. A scholar is included among the top collaborators of Ji Ma 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 Ji Ma. Ji Ma 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.
Jin, Yuhui, Ji Ma, Yuandong Lin, Jun‐Hu Cheng, & Da‐Wen Sun. (2025). Intelligent Mobile Diagnostic Platforms for Food Safety Control: Functions, Classifications and Applications. Food Engineering Reviews. 17(4). 1036–1058.
2.
Zhao, Haitao, Simin Xu, Weilan Ye, et al.. (2025). Atomevo-odor: A database for understanding olfactory receptor-odorant pairs with multi-artificial intelligence methods. Food Chemistry. 476. 143392–143392. 1 indexed citations
3.
Xu, Xindong, Yongxin Teng, Xin‐An Zeng, et al.. (2025). Pulsed electric field-driven electrokinetic removal of starch granule-channel proteins for enhanced starch modification. Carbohydrate Polymers. 375. 124744–124744.
4.
Xu, Xindong, et al.. (2025). Starch granule oxidation evaluation using laser confocal microscope-Raman spectroscopy: A novel analytical method. Carbohydrate Polymers. 367. 124056–124056. 1 indexed citations
5.
Ma, Ji, et al.. (2025). Teaching strategies for promoting female college students' physical activity. Frontiers in Psychology. 16. 1569578–1569578. 1 indexed citations
6.
Lin, Yuandong, et al.. (2024). High sensitive Ratiometric fluorescent Aptasensor with AIE properties for Deoxynivalenol (DON) detection. Food Chemistry. 460(Pt 2). 140550–140550. 8 indexed citations
7.
Lin, Yuandong, Ji Ma, Jun‐Hu Cheng, & Da‐Wen Sun. (2024). Visible detection of chilled beef freshness using a paper-based colourimetric sensor array combining with deep learning algorithms. Food Chemistry. 441. 138344–138344. 46 indexed citations
8.
Lin, Yuandong, et al.. (2024). Fast real-time monitoring of meat freshness based on fluorescent sensing array and deep learning: From development to deployment. Food Chemistry. 448. 139078–139078. 36 indexed citations
9.
Ma, Ji, et al.. (2023). Aggregates‐based fluorescence sensing technology for food hazard detection: Principles, improvement strategies, and applications. Comprehensive Reviews in Food Science and Food Safety. 22(4). 2977–3010. 23 indexed citations
10.
Cheng, Jun‐Hu, et al.. (2023). Inhibition of cell wall pectin metabolism by plasma activated water (PAW) to maintain firmness and quality of postharvest blueberry. Plant Physiology and Biochemistry. 201. 107803–107803. 32 indexed citations
11.
Zhang, Wenyang, Da‐Wen Sun, Ji Ma, et al.. (2023). Simultaneous sensing of ammonia and temperatures using a dual-mode freshness indicator based on Au/Cu nanoclusters for packaged seafood. Food Chemistry. 418. 135929–135929. 29 indexed citations
12.
Zhang, Wenyang, Ji Ma, & Da‐Wen Sun. (2023). Dual-signal fluorescent test strips for spoilage sensing of packaged seafood: Visual monitoring of volatile basic nitrogens. Food Chemistry. 416. 135725–135725. 18 indexed citations
13.
Ma, Ji, et al.. (2022). Enhancing physical and chemical quality attributes of frozen meat and meat products: Mechanisms, techniques and applications. Trends in Food Science & Technology. 124. 63–85. 87 indexed citations
14.
Sun, Da‐Wen, et al.. (2022). Effects of isochoric freezing on freezing process and quality attributes of chicken breast meat. Food Chemistry. 405(Pt B). 134732–134732. 27 indexed citations
15.
Sun, Da‐Wen, Lunjie Huang, Hongbin Pu, & Ji Ma. (2020). Introducing reticular chemistry into agrochemistry. Chemical Society Reviews. 50(2). 1070–1110. 157 indexed citations
16.
17.
Ma, Ji, Da‐Wen Sun, & Hongbin Pu. (2015). Spectral absorption index in hyperspectral image analysis for predicting moisture contents in pork longissimus dorsi muscles. Food Chemistry. 197(Pt A). 848–854. 88 indexed citations
18.
Ma, Ji, et al.. (2013). Effects of Bai‐Hu decoction on fever induced by lipopolysaccharide. The Kaohsiung Journal of Medical Sciences. 29(3). 128–132. 12 indexed citations
19.
Liu, Dan, Da‐Wen Sun, Jia-Huan Qu, et al.. (2013). Feasibility of using hyperspectral imaging to predict moisture content of porcine meat during salting process. Food Chemistry. 152. 197–204. 69 indexed citations
20.
Zhao, Jing, et al.. (2010). Spectral imaging fingerprint of Cortex Phellodendri Chinensis pieces.. Zhongcaoyao. 41(3). 384–386.

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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