Kaiping Cong

424 citations
23 papers · 324 · h-index 11

Impact in

  • Biochemistry top 10%
    • Phytochemicals and Antioxidant Activities
  • Food Science top 10%
    • Botanical Research and Applications

Papers in

    • Postharvest Quality and Shelf Life Management 12
    • GABA and Rice Research 3
    • Polysaccharides and Plant Cell Walls 2
    • Botanical Research and Applications 4
    • Fermentation and Sensory Analysis 3

Kaiping Cong

22 papers receiving 321 citations

Peers

Kaiping Cong
Comparison fields: 5 of 56
  • Biochemistry 45
  • Food Science 98
  • Biotechnology 41
  • Plant Science 175
  • Physiology 15
Replace Zhicheng Yan with:
Zhicheng Yan China
Chenghu Dong China
Solmaz Saremnezhad Iran
Shufen Luo China
Guitian Gao China
Harsh P. Sharma India
Yingtong Zhang China
Huan Tai Phan Vietnam
Henock Woldemichael Woldemariam Ethiopia
Yushan Lei China
Kaiping Cong relative to Zhicheng Yan China Zhicheng Yan's profile →
Citations per field
00.5×1.5×
Zhicheng Yan · 1×
Citations per year

Countries citing papers authored by Kaiping Cong

Since Specialization
Citations

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

Fields of papers citing papers by Kaiping Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kaiping Cong, 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 Kaiping Cong Line = papers co-authored together Kaiping Cong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202262
2 202147
3 202139
4 202231
5 202329
6 202317
7 202312
8 202311
9 202310
10 202310
11 202410
12 20248
13 20247
14 20227
15 20245
16 20245
17 20244
18 20244
19 20253
20 20251

About Kaiping Cong

Kaiping Cong is a scholar working on Plant Science, Food Science, Molecular Biology, Neurology and Biotechnology, having authored 23 papers that have together received 324 indexed citations. Recurring topics across this work include Postharvest Quality and Shelf Life Management (12 papers), Botanical Research and Applications (4 papers), Neurological Disease Mechanisms and Treatments (4 papers), Fermentation and Sensory Analysis (3 papers), GABA and Rice Research (3 papers), Microbial Inactivation Methods (3 papers), Phytochemicals and Antioxidant Activities (2 papers) and Polysaccharides and Plant Cell Walls (2 papers). The work is most often cited by research in Biochemistry (45 citations), Food Science (98 citations), Biotechnology (41 citations), Plant Science (175 citations) and Physiology (15 citations). Kaiping Cong has collaborated with scholars based in China and Canada. Frequent co-authors include Tingting Li, Gongjian Fan, Caie Wu, Dandan Zhou, Dandan Zhou, Zhicheng Yan, Xiaojing Li, Zhihao Wu, Xiaojing Li and Jiahong Wang. Their work appears in journals such as Food Bioscience, Postharvest Biology and Technology, Scientia Horticulturae, Food Chemistry and International Journal of Biological Macromolecules.

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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