Hang Yang

417 total citations
39 papers, 242 citations indexed

About

Hang Yang is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Hang Yang has authored 39 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 14 papers in Signal Processing and 10 papers in Computer Networks and Communications. Recurrent topics in Hang Yang's work include Data Stream Mining Techniques (25 papers), Anomaly Detection Techniques and Applications (18 papers) and Machine Learning and Data Classification (12 papers). Hang Yang is often cited by papers focused on Data Stream Mining Techniques (25 papers), Anomaly Detection Techniques and Applications (18 papers) and Machine Learning and Data Classification (12 papers). Hang Yang collaborates with scholars based in Macao, China and Australia. Hang Yang's co-authors include Simon Fong, Guangmin Sun, Yvonne Ho, Raymond K. Wong, Huajun Chen, Jinan Fiaidhi, Aidong Xu, Sabah Mohammed, Yan Zhuang and Peng Li and has published in prestigious journals such as Journal of Systems and Software, Information Systems Frontiers and Mathematical Problems in Engineering.

In The Last Decade

Hang Yang

36 papers receiving 220 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hang Yang Macao	10	147	62	62	55	24	39	242
Aman Jatain India	8	100 0.7×	91 1.5×	29 0.5×	42 0.8×	17 0.7×	45	275
Sujala D. Shetty United Arab Emirates	10	112 0.8×	90 1.5×	24 0.4×	58 1.1×	16 0.7×	34	275
Georg Krempl Germany	8	234 1.6×	38 0.6×	64 1.0×	45 0.8×	20 0.8×	14	301
Vishal Borate India	10	95 0.6×	74 1.2×	47 0.8×	46 0.8×	16 0.7×	35	321
Saiful Adli Ismail Malaysia	9	92 0.6×	98 1.6×	65 1.0×	140 2.5×	31 1.3×	33	255
Naif Almusallam Saudi Arabia	8	276 1.9×	65 1.0×	37 0.6×	61 1.1×	24 1.0×	23	398
R. Parvathi India	10	104 0.7×	55 0.9×	20 0.3×	38 0.7×	18 0.8×	48	276
Faheem Masoodi India	9	122 0.8×	77 1.2×	81 1.3×	149 2.7×	20 0.8×	27	269
Neha Narkhede United States	6	65 0.4×	113 1.8×	33 0.5×	135 2.5×	13 0.5×	7	246
Madhuri Siddula United States	11	152 1.0×	108 1.7×	32 0.5×	121 2.2×	32 1.3×	23	329

Countries citing papers authored by Hang Yang

Since Specialization

Citations

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

Fields of papers citing papers by Hang Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Yang. A scholar is included among the top collaborators of Hang 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 Hang Yang. Hang 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:

20 of 20 papers shown

Chen, Huajun, et al.. (2017). A review: The effects of imperfect data on incremental decision tree. International Journal of Information and Communication Technology. 12(1/2). 162–162. 2 indexed citations

Wang, Wentao, et al.. (2017). Efficient visibility analysis for massive observers. Procedia Computer Science. 111. 120–128. 6 indexed citations

Yang, Hang, et al.. (2014). A Review: The Effects of Imperfect Data on Incremental Decision Tree. 34–41. 2 indexed citations

Yang, Hang, et al.. (2014). An Intelligent System for Forecasting the Trend of Consumed Electricity. 2011. 677–682. 2 indexed citations

Yang, Hang & Simon Fong. (2014). Countering the concept-drift problems in big data by an incrementally optimized stream mining model. Journal of Systems and Software. 102. 158–166. 17 indexed citations

Yang, Hang & Simon Fong. (2013). IMPROVING ADAPTABILITY OF DECISION TREE FOR MINING BIG DATA. New Mathematics and Natural Computation. 9(1). 77–95. 6 indexed citations

Yang, Hang, Simon Fong, Raymond K. Wong, & Guangmin Sun. (2013). Optimizing Classification Decision Trees by Using Weighted Naïve Bayes Predictors to Reduce the Imbalanced Class Problem in Wireless Sensor Network. International Journal of Distributed Sensor Networks. 9(1). 460641–460641. 7 indexed citations

Yang, Hang & Simon Fong. (2013). Countering the Concept-Drift Problem in Big Data Using iOVFDT. 8. 126–132. 11 indexed citations

Yang, Hang & Simon Fong. (2013). Incremental Optimization Mechanism for Constructing a Decision Tree in Data Stream Mining. Mathematical Problems in Engineering. 2013. 1–14. 17 indexed citations

10.

Yang, Hang & Simon Fong. (2012). Optimizing dynamic supply chain formation in supply mesh using CSET model. Information Systems Frontiers. 15(4). 569–588. 4 indexed citations

11.

Yang, Hang & Simon Fong. (2012). Incrementally optimized decision tree for noisy big data. 36–44. 22 indexed citations

12.

Yang, Hang & Simon Fong. (2011). Optimized very fast decision tree with balanced classification accuracy and compact tree size. 57–64. 16 indexed citations

13.

Yang, Hang & Simon Fong. (2011). OVFDT with functional tree leaf — Majority class, naive Bayes and adaptive hybrid integrations. 65–70. 5 indexed citations

14.

Fong, Simon & Hang Yang. (2011). The Six Technical Gaps between Intelligent Applications and Real-Time Data Mining: A Critical Review. Journal of Emerging Technologies in Web Intelligence. 3(2). 5 indexed citations

15.

Yang, Hang & Simon Fong. (2010). Stream mining over fluctuating network traffic at variable data rates. 436–441. 2 indexed citations

16.

Yang, Hang & Simon Fong. (2010). An experimental comparison of decision trees in traditional data mining and data stream mining. 442–447. 4 indexed citations

17.

Yang, Hang & Simon Fong. (2010). Real-time business intelligence system architecture with stream mining. 6. 29–34. 10 indexed citations

18.

Yang, Hang. (2008). Threaten Quantitative And Analyse Of A Large-scale Network Security Events. Microcomputer Information.

19.

Fong, Simon, Yvonne Ho, & Hang Yang. (2008). Using Genetic Algorithm for Hybrid Modes of Collaborative Filtering in Online Recommenders. 174–179. 18 indexed citations

20.

Fong, Simon, et al.. (2008). Supporting mobile payment QOS by data mining GSM network traffic. 279–285. 1 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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