Haihua Cong
Impact in
- Aquatic Science top 5%
- Seaweed-derived Bioactive Compounds
- Echinoderm biology and ecology
Papers in
-
- Seaweed-derived Bioactive Compounds 7
- Echinoderm biology and ecology 2
-
- Protein Hydrolysis and Bioactive Peptides 2
- Polyamine Metabolism and Applications 2
- Co-authors
- Dandan Ren (7 shared papers)Yunhai He (7 shared papers)Long Wu (6 shared papers)Qiukuan Wang (6 shared papers)Hui Zhou (5 shared papers)Yuefan Song (5 shared papers)Shu Liu (4 shared papers)Yongbo Peng (3 shared papers)
- Journals
- International Journal of Biological Macromolecules (3 papers)Food Hydrocolloids (1 paper)Foods (1 paper)Food Bioscience (1 paper)Carbohydrate Polymers (1 paper)
- Partner nations
- ChinaNew ZealandTaiwan
In The Last Decade
Haihua Cong
19 papers receiving 314 citations
Peers
Comparison fields: 5 of 82
- Aquatic Science 136
- Complementary and Manual Therapy 18
- Biotechnology 33
- Biomaterials 47
- Nutrition and Dietetics 47
Countries citing papers authored by Haihua Cong
This map shows the geographic impact of Haihua 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 Haihua Cong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haihua Cong more than expected).
Fields of papers citing papers by Haihua Cong
This network shows the impact of papers produced by Haihua 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 Haihua Cong. The network helps show where Haihua Cong may publish in the future.
Co-authors
The 25 scholars most cited alongside Haihua Cong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 49 | |
| 2 | 2018 | 46 | |
| 3 | 2019 | 33 | |
| 4 | 2018 | 29 | |
| 5 | 2019 | 25 | |
| 6 | 2017 | 23 | |
| 7 | 2020 | 22 | |
| 8 | 2022 | 22 | |
| 9 | 2011 | 13 | |
| 10 | 2021 | 10 | |
| 11 | 2021 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2011 | 9 | |
| 14 | 2023 | 7 | |
| 15 | 2023 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2022 | 0 |
About Haihua Cong
Haihua Cong is a scholar working on Aquatic Science, Molecular Biology, Food Science, Biomaterials and Plant Science, having authored 20 papers that have together received 323 indexed citations. Recurring topics across this work include Seaweed-derived Bioactive Compounds (7 papers), Proteins in Food Systems (4 papers), Meat and Animal Product Quality (3 papers), Polysaccharides and Plant Cell Walls (2 papers), Microencapsulation and Drying Processes (2 papers), Protein Hydrolysis and Bioactive Peptides (2 papers), Echinoderm biology and ecology (2 papers) and Polyamine Metabolism and Applications (2 papers). The work is most often cited by research in Aquatic Science (136 citations), Complementary and Manual Therapy (18 citations), Biotechnology (33 citations), Biomaterials (47 citations) and Nutrition and Dietetics (47 citations). Haihua Cong has collaborated with scholars based in China, New Zealand and Taiwan. Frequent co-authors include Dandan Ren, Yunhai He, Long Wu, Qiukuan Wang, Hui Zhou, Yuefan Song, Shu Liu, Yongbo Peng, Xiao Dong Chen and Peng Wu. Their work appears in journals such as International Journal of Biological Macromolecules, Food Hydrocolloids, Foods, Food Bioscience and Carbohydrate Polymers.
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.