Ya Hong Yang

418 total citations
9 papers, 341 citations indexed

About

Ya Hong Yang is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Ya Hong Yang has authored 9 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Industrial and Manufacturing Engineering, 3 papers in Control and Systems Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in Ya Hong Yang's work include Scheduling and Optimization Algorithms (4 papers), Advanced Manufacturing and Logistics Optimization (3 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Ya Hong Yang is often cited by papers focused on Scheduling and Optimization Algorithms (4 papers), Advanced Manufacturing and Logistics Optimization (3 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Ya Hong Yang collaborates with scholars based in China, Australia and Germany. Ya Hong Yang's co-authors include Kai Knoerzer, Roman Buckow, Netsanet Shiferaw Terefe, Cornelis Versteeg, Wenli Wang, Yu Yang, Michael Pinedo, Yang Yu, Qiang Lu and Ping Luo and has published in prestigious journals such as Chemometrics and Intelligent Laboratory Systems, Innovative Food Science & Emerging Technologies and Journal of Process Control.

In The Last Decade

Ya Hong Yang

9 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ya Hong Yang China	5	146	106	94	91	76	9	341
R. Simpson Chile	16	65 0.4×	75 0.7×	22 0.2×	221 2.4×	62 0.8×	36	455
Ricardo Simpson Chile	12	113 0.8×	170 1.6×	137 1.5×	302 3.3×	29 0.4×	22	580
R. Paul Singh United States	12	81 0.6×	100 0.9×	43 0.5×	269 3.0×	29 0.4×	39	524
Sandro M. Goñi Argentina	11	52 0.4×	107 1.0×	29 0.3×	194 2.1×	14 0.2×	27	402
Vivaldo Silveira Brazil	14	34 0.2×	119 1.1×	32 0.3×	305 3.4×	59 0.8×	53	597
József Farkas Hungary	11	153 1.0×	118 1.1×	35 0.4×	319 3.5×	9 0.1×	38	653
G. Cuccurullo Italy	12	87 0.6×	114 1.1×	83 0.9×	251 2.8×	21 0.3×	57	497
Kan-ichi Hayakawa United States	13	93 0.6×	67 0.6×	16 0.2×	303 3.3×	35 0.5×	30	559
Huanxiong Xie China	8	112 0.8×	149 1.4×	56 0.6×	188 2.1×	5 0.1×	17	387

Countries citing papers authored by Ya Hong Yang

Since Specialization

Citations

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

Fields of papers citing papers by Ya Hong Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ya Hong Yang

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Yang, Ya Hong, et al.. (2017). Optimal dispatch for grid-connecting microgrid considering shiftable and adjustable loads. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. 5575–5580. 5 indexed citations

2.

Luo, Ping, et al.. (2015). An improved quantum-behaved particle swarm optimization based on Lagrange multiplier. 27. 275–280. 2 indexed citations

3.

Yang, Ya Hong, et al.. (2010). A Hybrid Approach Based on Artificial Neural Network (ANN) and Differential Evolution (DE) for Job-Shop Scheduling Problem. Applied Mechanics and Materials. 26-28. 754–757. 2 indexed citations

4.

Yang, Ya Hong, et al.. (2010). Resource Allocation Problem in Manufacturing Grid Based on JADE. Applied Mechanics and Materials. 26-28. 710–713. 1 indexed citations

5.

Wang, Wenli, et al.. (2009). Variable-weighted Fisher discriminant analysis for process fault diagnosis. Journal of Process Control. 19(6). 923–931. 46 indexed citations

6.

Terefe, Netsanet Shiferaw, Ya Hong Yang, Kai Knoerzer, Roman Buckow, & Cornelis Versteeg. (2009). High pressure and thermal inactivation kinetics of polyphenol oxidase and peroxidase in strawberry puree. Innovative Food Science & Emerging Technologies. 11(1). 52–60. 227 indexed citations

7.

Yu, Yang, et al.. (2008). Fault diagnosis based on variable-weighted kernel Fisher discriminant analysis. Chemometrics and Intelligent Laboratory Systems. 93(1). 27–33. 24 indexed citations

8.

Yang, Ya Hong, et al.. (2000). Heuristics for minimizing total weighted tardiness in flexible flow shops. Journal of Scheduling. 3(2). 89–108. 31 indexed citations

9.

Pinedo, Michael & Ya Hong Yang. (1998). Optimization and heuristic algorithms for flexible flow shop scheduling. 104–104. 3 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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