Dacheng Kang

1.9k citations
28 papers · 1.6k indexed · 2 hit papers · h-index 16

Impact in

Papers in

Dacheng Kang

26 papers receiving 1.6k citations

Hit Papers

Recent advantage of interactions of protein-flavor in foods: Perspective of theoretical models, protein properties and extrinsic factors 2021 · 166 citations
166201620262019202250100150200250

Peers

Dacheng Kang
Comparison fields: 5 of 70
  • Animal Science and Zoology 1.2k
  • Food Science 758
  • Biotechnology 322
  • Insect Science 178
  • Nutrition and Dietetics 173
Replace Qingfeng Ge with:
Qingfeng Ge China
Gaiming Zhao China
Tomás Bolumar Spain
Mangang Wu China
Joanna Stadnik Poland
Kathrine H. Bak Austria
Eva Hierro Spain
Gunilla Lindahl Sweden
Rongxin Wen China
Dacheng Kang relative to Qingfeng Ge China Qingfeng Ge's profile →
Citations per field
00.5×2.7×
Qingfeng Ge · 1×
Citations per year

Countries citing papers authored by Dacheng Kang

Since Specialization
Citations

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

Fields of papers citing papers by Dacheng Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20250
3 202418
4 202410
5 20245
6 202312
7 20227
8 20226
9 202159
10 202015
11 2020106
12 201935
13
Recent advances in understanding the effect of high power ultrasound on protein functional characteristics and its applications in meat processing.
20192
14 20191
15 201826
16 2018197
17 201763
18 2017107
19 2017202
20
Effects of power ultrasound on oxidation and structure of beef proteins during curing processing
Hit paper breakdown →
2016258

About Dacheng Kang

Dacheng Kang is a scholar working on Animal Science and Zoology, Biotechnology, Food Science, Cell Biology and Insect Science, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (20 papers), Microbial Inactivation Methods (8 papers), Proteins in Food Systems (4 papers), Advanced Chemical Sensor Technologies (3 papers), Bee Products Chemical Analysis (3 papers), Biopolymer Synthesis and Applications (3 papers), Polyamine Metabolism and Applications (3 papers) and Calpain Protease Function and Regulation (2 papers). The work is most often cited by research in Animal Science and Zoology (1.2k citations), Food Science (758 citations), Biotechnology (322 citations), Insect Science (178 citations) and Nutrition and Dietetics (173 citations). Dacheng Kang has collaborated with scholars based in China, Spain and New Zealand. Frequent co-authors include Wangang Zhang, Guanghong Zhou, Lujuan Xing, José M. Lorenzo, Yu-Ping Cheng, Jian Zhang, Qingfeng Ge, Xueqin Gao, Wangang Zhang and Jun Qi. Their work appears in journals such as Ultrasonics Sonochemistry, Food Chemistry, LWT, International Journal of Food Science & Technology and Food Research International.

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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