S. S. Yang

20 papers receiving 288 citations

Peers

S. S. Yang
Comparison fields: 5 of 59
  • Statistics and Probability 48
  • Renewable Energy, Sustainability and the Environment 93
  • Physical and Theoretical Chemistry 35
  • Filtration and Separation 6
  • Statistics, Probability and Uncertainty 19
Replace I. Havlík with:
I. Havlík Germany
Veli‐Matti Taavitsainen Finland
Laura Garrido Spain
K.‐H. Bellgardt Germany
R. T. J. M. van der Heijden Netherlands
Xingzhong Xu China
Asawin Meechai Thailand
Domenico Colucci Italy
Edward Stark Norway
Yoonsung Jung United States
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Citations per field
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Citations per year

Countries citing papers authored by S. S. Yang

Since Specialization
Citations

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

Fields of papers citing papers by S. S. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside S. S. Yang, 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 S. S. Yang Line = papers co-authored together S. S. Yang 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 198778
2 197740
3 198224
4 198419
5 198319
6 198618
7 198417
8 198415
9 198314
10 198414
11 198310
12 19857
13 19847
14 19935
15 19864
16 19864
17
Estimation of true growth yield and maintenance parameters for methanol utilizing organisms
19842
18 19862
19 19772
20 20251

About S. S. Yang

S. S. Yang is a scholar working on Management Science and Operations Research, Molecular Biology, Physical and Theoretical Chemistry, Statistics and Probability and Analytical Chemistry, having authored 23 papers that have together received 302 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (9 papers), thermodynamics and calorimetric analyses (4 papers), Spectroscopy and Chemometric Analyses (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Genetic and phenotypic traits in livestock (2 papers), Energy Efficient Wireless Sensor Networks (2 papers), Protein purification and stability (2 papers) and Statistical Methods and Applications (2 papers). The work is most often cited by research in Statistics and Probability (48 citations), Renewable Energy, Sustainability and the Environment (93 citations), Physical and Theoretical Chemistry (35 citations), Filtration and Separation (6 citations) and Statistics, Probability and Uncertainty (19 citations). S. S. Yang has collaborated with scholars based in United States and China. Frequent co-authors include Larry E. Erickson, B. O. Solomon, H. A. David, Martin J. O’Connell, Jon E. Hess, Hyo Young Lee, Paul I. Nelson, Kenneth E. Kemp, Ray Shorter and Paul N. Hinz. Their work appears in journals such as Biotechnology and Bioengineering, Technometrics, IEEE Internet of Things Journal, Aerospace Science and Technology and Frontiers in Endocrinology.

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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