Ziping Ai

661 citations
33 papers · 451 · h-index 13

Impact in

    • Food Drying and Modeling
    • Microencapsulation and Drying Processes
  • Biochemistry top 10%
    • Phytochemicals and Antioxidant Activities

Papers in

    • Food Drying and Modeling 14
    • Microencapsulation and Drying Processes 8
    • Polysaccharides and Plant Cell Walls 7
    • Peanut Plant Research Studies 3
    • Postharvest Quality and Shelf Life Management 2

Ziping Ai

29 papers receiving 436 citations

Peers

Ziping Ai
Comparison fields: 5 of 69
  • Food Science 277
  • Biochemistry 76
  • Biotechnology 71
  • Animal Science and Zoology 54
  • Plant Science 154
Replace Veronica Santarelli with:
Veronica Santarelli Italy
Jiabao Ni China
Carolinne Odebrecht Dias Brazil
Tomoya Okunishi Japan
Ying Lyu China
Maria Tsevdou Greece
Jihan Santanina Santiago Belgium
Yishun Yao China
Hasan Yıldız Türkiye
Thomas Fauster Austria
Ziping Ai relative to Veronica Santarelli Italy Veronica Santarelli's profile →
Citations per field
00.5×
Veronica Santarelli · 1×
Citations per year

Countries citing papers authored by Ziping Ai

Since Specialization
Citations

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

Fields of papers citing papers by Ziping Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ziping Ai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ziping Ai Line = papers co-authored together Ziping Ai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202271
2 202143
3 202139
4 202333
5 202229
6 202225
7 202325
8 202222
9 202222
10 202220
11 202215
12 202314
13 202213
14 202212
15 202410
16 20238
17 20228
18 20247
19 20246
20 20246

About Ziping Ai

Ziping Ai is a scholar working on Food Science, Plant Science, Biochemistry, Biotechnology and Mechanics of Materials, having authored 33 papers that have together received 451 indexed citations. Recurring topics across this work include Food Drying and Modeling (14 papers), Microencapsulation and Drying Processes (8 papers), Polysaccharides and Plant Cell Walls (7 papers), Phytochemicals and Antioxidant Activities (7 papers), Peanut Plant Research Studies (3 papers), Microbial Inactivation Methods (3 papers), Meat and Animal Product Quality (3 papers) and Postharvest Quality and Shelf Life Management (2 papers). The work is most often cited by research in Food Science (277 citations), Biochemistry (76 citations), Biotechnology (71 citations), Animal Science and Zoology (54 citations) and Plant Science (154 citations). Ziping Ai has collaborated with scholars based in China, Egypt and India. Frequent co-authors include Yanhong Liu, Yue Zhang, Yue Zhang, R. Pandiselvam, Yanhong Liu, Hong‐Wei Xiao, Anjineyulu Kothakota, Yawen Lin, Yongkang Xie and Yanhong Liu. Their work appears in journals such as Industrial Crops and Products, Drying Technology, Food and Bioprocess Technology, Food Research International and Food Chemistry.

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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