Chul‐Ju Yang

2.2k total citations
83 papers, 1.6k citations indexed

About

Chul‐Ju Yang is a scholar working on Animal Science and Zoology, Food Science and Nutrition and Dietetics. According to data from OpenAlex, Chul‐Ju Yang has authored 83 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Animal Science and Zoology, 18 papers in Food Science and 14 papers in Nutrition and Dietetics. Recurrent topics in Chul‐Ju Yang's work include Animal Nutrition and Physiology (44 papers), Meat and Animal Product Quality (23 papers) and Effects of Environmental Stressors on Livestock (12 papers). Chul‐Ju Yang is often cited by papers focused on Animal Nutrition and Physiology (44 papers), Meat and Animal Product Quality (23 papers) and Effects of Environmental Stressors on Livestock (12 papers). Chul‐Ju Yang collaborates with scholars based in South Korea, Bangladesh and United States. Chul‐Ju Yang's co-authors include Hong‐Seok Mun, Sonia Tabasum Ahmed, Md. Manirul Islam, A.B.M. Rubayet Bostami, Ye‐Jin Kim, ME Hossain, In‐Soo Shin, J.D. Firman, Sung Ki Lee and Ill–Sup Nou and has published in prestigious journals such as Food Chemistry, Energy and Buildings and Sustainability.

In The Last Decade

Chul‐Ju Yang

81 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chul‐Ju Yang South Korea 23 974 369 346 167 163 83 1.6k
Eugeniusz R. Grela Poland 23 886 0.9× 719 1.9× 302 0.9× 273 1.6× 340 2.1× 166 1.9k
Anna Czech Poland 20 666 0.7× 340 0.9× 251 0.7× 265 1.6× 149 0.9× 95 1.3k
Zaibin Yang China 25 711 0.7× 1.0k 2.8× 385 1.1× 378 2.3× 264 1.6× 74 2.2k
Tzu-Tai Lee Taiwan 22 604 0.6× 364 1.0× 288 0.8× 348 2.1× 157 1.0× 74 1.4k
Panagiotis Simitzis Greece 22 984 1.0× 381 1.0× 390 1.1× 219 1.3× 142 0.9× 88 1.7k
Shenfei Long China 22 930 1.0× 244 0.7× 271 0.8× 422 2.5× 152 0.9× 61 1.5k
Muhammad Ammar Khan Pakistan 20 771 0.8× 289 0.8× 514 1.5× 234 1.4× 239 1.5× 51 1.7k
T. N. Pasha Pakistan 18 740 0.8× 332 0.9× 171 0.5× 92 0.6× 106 0.7× 104 1.2k
Shad Mahfuz China 22 692 0.7× 388 1.1× 267 0.8× 403 2.4× 122 0.7× 58 1.5k
Qinghui Shang China 21 628 0.6× 216 0.6× 203 0.6× 270 1.6× 130 0.8× 37 1.1k

Countries citing papers authored by Chul‐Ju Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chul‐Ju Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chul‐Ju Yang. 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 Chul‐Ju Yang. The network helps show where Chul‐Ju Yang may publish in the future.

Co-authorship network of co-authors of Chul‐Ju Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chul‐Ju Yang. A scholar is included among the top collaborators of Chul‐Ju Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chul‐Ju Yang. Chul‐Ju Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mun, Hong‐Seok, et al.. (2024). Technological Tools and Artificial Intelligence in Estrus Detection of Sows—A Comprehensive Review. Animals. 14(3). 471–471. 12 indexed citations
2.
Mun, Hong‐Seok, et al.. (2024). Optimizing broiler growth, health, and meat quality with citric acid- assessing the optimal dose and environmental impact. Poultry Science. 104(2). 104668–104668. 3 indexed citations
3.
Mun, Hong‐Seok, et al.. (2024). Smart Pig Farming—A Journey Ahead of Vietnam. Agriculture. 14(4). 555–555. 3 indexed citations
4.
Mun, Hong‐Seok, et al.. (2024). Minimum carbon dioxide is a key predictor of the respiratory health of pigs in climate-controlled housing systems. Porcine Health Management. 10(1). 59–59. 1 indexed citations
5.
Mun, Hong‐Seok, et al.. (2023). Artificial Intelligence for Automatic Monitoring of Respiratory Health Conditions in Smart Swine Farming. Animals. 13(11). 1860–1860. 21 indexed citations
6.
Mun, Hong‐Seok, et al.. (2023). Bump Feeding Improves Sow Reproductive Performance, Milk Yield, Piglet Birth Weight, and Farrowing Behavior. Animals. 13(19). 3148–3148. 8 indexed citations
7.
Ahmed, Sonia Tabasum, Hong‐Seok Mun, & Chul‐Ju Yang. (2023). Effects of probiotic bacteria-fermented herbal combinations on growth performance, immunity, and meat quality of grower-finisher pigs. Livestock Science. 273. 105258–105258. 7 indexed citations
8.
Mun, Hong‐Seok, et al.. (2023). Milk Supplementation: Effect on piglets performance, feeding behavior and sows physiological condition during the lactation period. Journal of Animal Behaviour and Biometeorology. 11(1). 2023007–2023007. 6 indexed citations
9.
10.
Mun, Hong‐Seok, et al.. (2022). Heat Detection of Gilts Using Digital Infrared Thermal Imaging Camera. Advances in Animal and Veterinary Sciences. 10(10). 6 indexed citations
11.
Islam, Mahfuzul, Che Ok Jeon, Kichoon Lee, et al.. (2021). In vitro assessment of probiotic potential of selected bacteria isolated from pig faeces with potential application of odour reduction. International Journal of Veterinary Science and Medicine. 9(1). 22–30. 4 indexed citations
12.
Son, A-Rang, et al.. (2021). Kimchi cabbage (Brassica rapa L.) by-products treated with calcium oxide and alkaline hydrogen peroxide as feed ingredient for Holstein steers. Journal of Animal Science and Technology. 63(4). 841–853. 4 indexed citations
13.
14.
Yang, Chul‐Ju, et al.. (2015). Characteristics of Gouda cheese supplemented with fruit liquors. Journal of Animal Science and Technology. 57(1). 15–15. 13 indexed citations
15.
Islam, Md. Manirul, et al.. (2014). Seamustard (<i>Undaria pinnatifida</i>) Improves Growth, Immunity, Fatty Acid Profile and Reduces Cholesterol in Hanwoo Steers. Asian-Australasian Journal of Animal Sciences. 27(8). 1114–1123. 20 indexed citations
16.
Hossain, ME, et al.. (2012). Evaluation of probiotic strains for development of fermented Alisma canaliculatum and their effects on broiler chickens. Poultry Science. 91(12). 3121–3131. 34 indexed citations
17.
Yang, Chul‐Ju, et al.. (2011). Eosungcho (Houttuynia cordata) with multi strain probiotics as alternative to antibiotic for broiler production. Journal of Medicinal Plants Research. 5(18). 4411–4417. 6 indexed citations
18.
Yang, Chul‐Ju, et al.. (2010). Effect of green tea and biotite on performance, meat quality and organ development in ross broiler.. Egyptian Poultry Science. 30(1). 77–88. 29 indexed citations
19.
Park, Sung Wook, et al.. (2010). Effects of dietary Alisma canaliculatum(Alismatis rhizoma), Viscum album (Mistletoe) and Cornus officinalis (Corni fructus) probiotics as feed additives on growth performance and immunity in growing pigs. Korean Journal of Veterinary Service. 33(4). 375–385. 3 indexed citations
20.
Yang, Chul‐Ju, et al.. (2007). Effect of Dietary Dandelion (Taraxzcum coreanum) and Dandelion Fermented Probiotics on Productivity and Meat Quality of Broilers. Korean Journal of Poultry Science. 34(4). 319–327. 9 indexed citations

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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