S. S. Yang

424 citations
20 papers · 332 · h-index 11

Impact in

Papers in

S. S. Yang

19 papers receiving 304 citations

Peers

S. S. Yang
Comparison fields: 5 of 61
  • Statistics and Probability 52
  • Renewable Energy, Sustainability and the Environment 101
  • Physical and Theoretical Chemistry 42
  • Statistics, Probability and Uncertainty 21
  • Filtration and Separation 6
Replace I. Havlík with:
I. Havlík Germany
Veli‐Matti Taavitsainen Finland
K.‐H. Bellgardt Germany
Mausumi Sen India
R. T. J. M. van der Heijden Netherlands
Xingzhong Xu China
H. H. Topiwala Netherlands
Paul Gilbert Canada
Priti Pharkya United States
Sonia Migliorati Italy
S. S. Yang relative to I. Havlík Germany I. Havlík's profile →
Citations per field
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I. Havlík · 1×
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 9 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
#Work
1 198784
2 197747
3 198228
4 198421
5 198320
6 198420
7 198619
8 198416
9 198415
10 198315
11 198310
12 19859
13 19847
14 19865
15 19935
16 19865
17 19772
18
Estimation of true growth yield and maintenance parameters for methanol utilizing organisms
19842
19 19862
20 20170

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 20 papers that have together received 332 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), Statistical Distribution Estimation and Applications (2 papers), Statistical Methods and Applications (2 papers), Genetic and phenotypic traits in livestock (2 papers) and Protein purification and stability (2 papers). The work is most often cited by research in Statistics and Probability (52 citations), Renewable Energy, Sustainability and the Environment (101 citations), Physical and Theoretical Chemistry (42 citations), Statistics, Probability and Uncertainty (21 citations) and Filtration and Separation (6 citations). S. S. Yang has collaborated with scholars based in United States. Frequent co-authors include Larry E. Erickson, B. O. Solomon, Martin J. O’Connell, Jon E. Hess, Hyo Young Lee, Ray Shorter, Paul I. Nelson, Kenneth E. Kemp and Paul N. Hinz. Their work appears in journals such as Biotechnology and Bioengineering, Technometrics, Chemical Engineering Communications, The Annals of Statistics and Crop Science.

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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