S. S. Yang

429 total citations
23 papers, 302 citations indexed

About

S. S. Yang is a scholar working on Management Science and Operations Research, Molecular Biology and Physical and Theoretical Chemistry. According to data from OpenAlex, S. S. Yang has authored 23 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management Science and Operations Research, 4 papers in Molecular Biology and 4 papers in Physical and Theoretical Chemistry. Recurrent topics in S. S. Yang's work include Optimal Experimental Design Methods (9 papers), thermodynamics and calorimetric analyses (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). S. S. Yang is often cited by papers focused on Optimal Experimental Design Methods (9 papers), thermodynamics and calorimetric analyses (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). S. S. Yang collaborates with scholars based in United States and China. S. S. Yang's co-authors include Larry E. Erickson, B. O. Solomon, Martin J. O’Connell, H. A. David, Jon E. Hess, Hyo Young Lee, Ray Shorter, Kenneth E. Kemp, Paul I. Nelson and Paul N. Hinz and has published in prestigious journals such as Technometrics, AIChE Journal and The Annals of Statistics.

In The Last Decade

S. S. Yang

20 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. S. Yang United States	11	93	83	48	42	35	23	302
I. Havlík Germany	12	193 2.1×	193 2.3×	2 0.0×	72 1.7×	14 0.4×	20	577
Veli‐Matti Taavitsainen Finland	13	26 0.3×	17 0.2×	10 0.2×	57 1.4×	1 0.0×	25	399
Laura Garrido Spain	8	23 0.2×	38 0.5×	26 0.5×	24 0.6×	1 0.0×	10	375
Edward Stark Norway	6	7 0.1×	64 0.8×	11 0.2×	134 3.2×	5 0.1×	9	628
R. T. J. M. van der Heijden Netherlands	7	11 0.1×	344 4.1×	2 0.0×	85 2.0×	25 0.7×	8	464
Mariana Titica France	11	242 2.6×	206 2.5×		77 1.8×	29 0.8×	41	517
Christian Bölling Germany	5	116 1.2×	331 4.0×		37 0.9×	2 0.1×	22	551
Asawin Meechai Thailand	11	85 0.9×	475 5.7×		154 3.7×	4 0.1×	43	637
Xingzhong Xu China	10	8 0.1×	23 0.3×	174 3.6×	10 0.2×	1 0.0×	76	430
A. A. Esener Netherlands	9	30 0.3×	153 1.8×		73 1.7×	49 1.4×	12	281

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-authorship network of co-authors of S. S. Yang

This figure shows the co-authorship network connecting the top 25 collaborators of S. S. Yang. A scholar is included among the top collaborators of S. S. 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 S. S. Yang. S. S. Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Qin, Feng, et al.. (2025). Energy-Efficient Distributed Cooperative Localization by Sensor and Communication Link Scheduling. IEEE Internet of Things Journal. 12(14). 27307–27321.

Yang, S. S., et al.. (2025). Low-communication collaborative navigation with state estimation for large-scale agent systems meeting minimum performance requirements. Aerospace Science and Technology. 158. 109940–109940.

Wang, Xiaorong, Tingchao He, Xiaohan Chen, et al.. (2025). Global research hotspots and trends in oxidative stress-related diabetic nephropathy: a bibliometric study. Frontiers in Endocrinology. 15. 1451954–1451954. 1 indexed citations

Kemp, Kenneth E., et al.. (1993). An asymptotically distribution freetest for assessing the separationbetween two distributions. Journal of nonparametric statistics. 2(3). 235–248. 5 indexed citations

Erickson, Larry E., et al.. (1987). Kinetics and bioenergetics of light‐limited photoautotrophic growth of Spirulina platensis. Biotechnology and Bioengineering. 29(7). 832–843. 78 indexed citations

Erickson, Larry E., et al.. (1986). Utilization of spline functions for smoothing fermentation data and for estimation of specific rates. Biotechnology and Bioengineering. 28(6). 902–918. 18 indexed citations

Erickson, Larry E., et al.. (1986). Estimation of the true growth yield and maintenance coefficient for yoghurt cultures. Biotechnology and Bioengineering. 28(6). 919–926. 4 indexed citations

Erickson, Larry E., et al.. (1986). Analysis of exponential growth data for yoghurt cultures. Biotechnology and Bioengineering. 28(6). 895–901. 4 indexed citations

Yang, S. S., et al.. (1986). COMPARISON OF TWO METHODS OF SELECTING SMOOTHING SPLINE FUNCTIONS FOR ESTIMATION OF SPECIFIC RATES IN FERMENTATIONS. Chemical Engineering Communications. 45(1-6). 145–161. 2 indexed citations

10.

Lee, Hyo Young, Larry E. Erickson, & S. S. Yang. (1985). Analysis of bioenergetic yield and maintenance parameters associated with mixotrophic and photoheterotrophic growth. Biotechnology and Bioengineering. 27(12). 1640–1651. 7 indexed citations

11.

Erickson, Larry E., et al.. (1984). Estimation of true growth yield and maintenance parameters for methanol utilizing organisms. Journal of Fermentation Technology. 62(4). 341–351. 2 indexed citations

12.

Erickson, Larry E., et al.. (1984). The estimation of growth yield and maintenance parameters for photoautotrophic growth. Biotechnology and Bioengineering. 26(8). 926–935. 19 indexed citations

13.

Erickson, Larry E., et al.. (1984). Estimation of yield, maintenance, and product formation kinetic parameters in anaerobic fermentations. Biotechnology and Bioengineering. 26(12). 1436–1444. 14 indexed citations

14.

Yang, S. S., et al.. (1984). Estimating and Testing Common Parameters for Some Multiresponse Models Associated With Microbial Growth and Bioenergetics. Technometrics. 26(4). 355–361. 15 indexed citations

15.

Yang, S. S., et al.. (1984). Estimating and Testing Common Parameters for Some Multiresponse Models Associated with Microbial Growth and Bioenergetics. Technometrics. 26(4). 355–355. 7 indexed citations

16.

Solomon, B. O., Larry E. Erickson, & S. S. Yang. (1983). Estimation of biomass concentration in the presence of solids for the purpose of parameter estimation. Biotechnology and Bioengineering. 25(10). 2469–2477. 10 indexed citations

17.

Solomon, B. O., Larry E. Erickson, & S. S. Yang. (1983). Utilization of statistics and experimental design in data collection and analysis. Biotechnology and Bioengineering. 25(11). 2683–2705. 19 indexed citations

18.

Erickson, Larry E., et al.. (1983). Estimation of true growth and product yields in aerobic cultures. Biotechnology and Bioengineering. 25(3). 631–646. 14 indexed citations

19.

David, H. A., Martin J. O’Connell, & S. S. Yang. (1977). Distribution and Expected Value of the Rank of a Concomitant of an Order Statistic. The Annals of Statistics. 5(1). 40 indexed citations

20.

Hinz, Paul N., et al.. (1977). Probabilities of Selecting Genotypes When Testing at Several Locations¹. Crop Science. 17(2). 325–326. 2 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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