Jiadong Yang

415 total citations
12 papers, 327 citations indexed

About

Jiadong Yang is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Jiadong Yang has authored 12 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 5 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Jiadong Yang's work include Distributed and Parallel Computing Systems (4 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Cloud Computing and Resource Management (3 papers). Jiadong Yang is often cited by papers focused on Distributed and Parallel Computing Systems (4 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Cloud Computing and Resource Management (3 papers). Jiadong Yang collaborates with scholars based in China and United States. Jiadong Yang's co-authors include Hua Xu, Hua Xu, Yuan Yuan, Peifa Jia, Fei Long, Li Pan, Zhaoxin Fan, Li Zha, Yi Ding and Wei Wang and has published in prestigious journals such as Information Sciences, Neurocomputing and Applied Soft Computing.

In The Last Decade

Jiadong Yang

10 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiadong Yang China	7	168	117	106	74	35	12	327
Ahcène Bendjoudi Algeria	9	92 0.5×	80 0.7×	96 0.9×	104 1.4×	24 0.7×	29	270
Ivan Ruchkin United States	9	48 0.3×	103 0.9×	74 0.7×	57 0.8×	27 0.8×	29	250
Zbigniew J. Czech Poland	7	128 0.8×	171 1.5×	77 0.7×	24 0.3×	38 1.1×	23	324
Manzhan Gu China	9	235 1.4×	85 0.7×	100 0.9×	25 0.3×	10 0.3×	21	331
Luca Berardinelli Austria	10	99 0.6×	88 0.8×	71 0.7×	108 1.5×	11 0.3×	42	265
Edward J. Barkmeyer United States	9	91 0.5×	82 0.7×	144 1.4×	60 0.8×	19 0.5×	18	286
Monika Wenger Austria	13	275 1.6×	59 0.5×	38 0.4×	40 0.5×	47 1.3×	29	357
Loek Cleophas Netherlands	9	44 0.3×	151 1.3×	49 0.5×	104 1.4×	42 1.2×	66	268
Mario Gleirscher Germany	8	48 0.3×	84 0.7×	27 0.3×	47 0.6×	35 1.0×	30	230
Guangzhou Zeng China	7	72 0.4×	110 0.9×	42 0.4×	41 0.6×	6 0.2×	42	254

Countries citing papers authored by Jiadong Yang

Since Specialization

Citations

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

Fields of papers citing papers by Jiadong Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiadong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiadong Yang. A scholar is included among the top collaborators of Jiadong 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 Jiadong Yang. Jiadong 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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12 of 12 papers shown

Yang, Jiadong, et al.. (2023). A New Strategy For Resonance Suppression in LCC-HVDC System. 328–335.

Fan, Zhaoxin, et al.. (2014). A Text Clustering Approach of Chinese News Based on Neural Network Language Model. International Journal of Parallel Programming. 44(1). 198–206. 12 indexed citations

Xu, Hua, Jiadong Yang, Peifa Jia, & Yi Ding. (2013). Effective Structure Learning for Estimation of Distribution Algorithms via L1-Regularized Bayesian Networks. International Journal of Advanced Robotic Systems. 10(1). 4 indexed citations

Wan, Wei, et al.. (2013). Comparison of parallelization strategies for min-sum decoding of irregular LDPC codes. Tsinghua Science & Technology. 18(6). 577–587. 1 indexed citations

Yang, Jiadong, Hua Xu, & Peifa Jia. (2013). Effective search for genetic-based machine learning systems via estimation of distribution algorithms and embedded feature reduction techniques. Neurocomputing. 113. 105–121. 17 indexed citations

Yuan, Yuan, Hua Xu, & Jiadong Yang. (2013). A hybrid harmony search algorithm for the flexible job shop scheduling problem. Applied Soft Computing. 13(7). 3259–3272. 146 indexed citations

Yang, Jiadong, Hua Xu, & Peifa Jia. (2012). Effective search for Pittsburgh learning classifier systems via estimation of distribution algorithms. Information Sciences. 198. 100–117. 10 indexed citations

Yang, Jiadong, et al.. (2010). Task scheduling using Bayesian optimization algorithm for heterogeneous computing environments. Applied Soft Computing. 11(4). 3297–3310. 31 indexed citations

Yang, Jiadong, et al.. (2010). Effective structure learning for EDA via L1-regularizedbayesian networks. 327–334. 3 indexed citations

10.

Xu, Hua, et al.. (2010). A heuristic-based hybrid genetic-variable neighborhood search algorithm for task scheduling in heterogeneous multiprocessor system. Information Sciences. 181(3). 567–581. 92 indexed citations

11.

Xu, Hua, et al.. (2010). A heuristic-based hybrid genetic algorithm for heterogeneous multiprocessor scheduling. 729–736. 2 indexed citations

12.

Yang, Jiadong, Hua Xu, & Peifa Jia. (2009). Task Scheduling for Heterogeneous Computing Based on Bayesian Optimization Algorithm. 112–117. 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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