Haijun Chang
Impact in
- Animal Science and Zoology top 2%
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
- Biotechnology top 5%
- Microbial Inactivation Methods
Papers in
-
- Meat and Animal Product Quality 14
- Animal Nutrition and Physiology 2
-
- Collagen: Extraction and Characterization 6
- Co-authors
- Guanghong Zhou (4 shared papers)Chunbao Li (4 shared papers)Xinglian Xu (4 shared papers)Qiang Wang (3 shared papers)Ming Huang (1 shared paper)Ming Huang (2 shared papers)Yan Dai (2 shared papers)Guanghong Zhou (1 shared paper)
In The Last Decade
Haijun Chang
19 papers receiving 464 citations
Peers
Comparison fields: 5 of 53
- Animal Science and Zoology 382
- Biotechnology 111
- Food Science 185
- Insect Science 65
- Biomaterials 51
Countries citing papers authored by Haijun Chang
This map shows the geographic impact of Haijun Chang'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 Haijun Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haijun Chang more than expected).
Fields of papers citing papers by Haijun Chang
This network shows the impact of papers produced by Haijun Chang. 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 Haijun Chang. The network helps show where Haijun Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Haijun Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 129 | |
| 2 | 2015 | 83 | |
| 3 | 2010 | 54 | |
| 4 | 2010 | 53 | |
| 5 | 2010 | 42 | |
| 6 | 2013 | 40 | |
| 7 | 2011 | 37 | |
| 8 | 2017 | 11 | |
| 9 | 2023 | 7 | |
| 10 | 2024 | 7 | |
| 11 | 2022 | 2 | |
| 12 | 2017 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2022 | 1 | |
| 17 | The difference of fatty acid composition from yak and yellow cattle | 2012 | 1 |
| 18 | Application of antioxidants for color improvement of industrial casein | 2006 | 1 |
| 19 | 2022 | 1 | |
| 20 | 2025 | 0 |
About Haijun Chang
Haijun Chang is a scholar working on Animal Science and Zoology, Biomaterials, Food Science, Insect Science and Biotechnology, having authored 22 papers that have together received 477 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (14 papers), Collagen: Extraction and Characterization (6 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), Microencapsulation and Drying Processes (3 papers), Proteins in Food Systems (2 papers), Animal Nutrition and Physiology (2 papers), Bee Products Chemical Analysis (2 papers) and Microbial Inactivation Methods (1 paper). The work is most often cited by research in Animal Science and Zoology (382 citations), Biotechnology (111 citations), Food Science (185 citations), Insect Science (65 citations) and Biomaterials (51 citations). Haijun Chang has collaborated with scholars based in China, Germany and Ghana. Frequent co-authors include Guanghong Zhou, Chunbao Li, Xinglian Xu, Qiang Wang, Ming Huang, Ming Huang, Yan Dai, Guanghong Zhou, Qiang Wang and Hongbin Wu. Their work appears in journals such as International Journal of Food Science & Technology, International Journal of Food Properties, Meat Science, Journal of Food Science and Food Production Processing and Nutrition.
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.