Haijun Yang

1.2k citations
77 papers · 774 · h-index 13

Impact in

Papers in

Haijun Yang

69 papers receiving 745 citations

Peers

Haijun Yang
Comparison fields: 5 of 97
  • Environmental Chemistry 73
  • Management Science and Operations Research 87
  • Finance 68
  • Mechanics of Materials 163
  • Ocean Engineering 93
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Heping Pan China
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Hua Xu China
Steve Begg Australia
Reidar B. Bratvold Norway
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Haijun Yang relative to Heping Pan China Heping Pan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Haijun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Haijun 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 Haijun Yang Line = papers co-authored together Haijun Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014235
2 201859
3 201955
4 202142
5 200536
6
Boosted Decision Trees, an Alternative to Artificial Neural Networks
200429
7 202123
8 201719
9 202117
10 202015
11 202015
12 202213
13 202113
14
A new optical switching fabric architecture incorporating rapidly switching all-optical variable delay buffers
200410
15 201510
16 20098
17 20068
18 20128
19 20057
20 20077

About Haijun Yang

Haijun Yang is a scholar working on Finance, Economics and Econometrics, Electrical and Electronic Engineering, Computer Networks and Communications and Management Science and Operations Research, having authored 77 papers that have together received 774 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (19 papers), Advanced Optical Network Technologies (17 papers), Complex Systems and Time Series Analysis (16 papers), Optical Network Technologies (15 papers), Stock Market Forecasting Methods (9 papers), Advanced Photonic Communication Systems (9 papers), Interconnection Networks and Systems (6 papers) and Market Dynamics and Volatility (6 papers). The work is most often cited by research in Environmental Chemistry (73 citations), Management Science and Operations Research (87 citations), Finance (68 citations), Mechanics of Materials (163 citations) and Ocean Engineering (93 citations). Haijun Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include S. J. Ben Yoo, Baocai Xu, Yun Yang, Tongtao Wang, Chunhe Yang, Yinping Li, Jianjun Li, J.J.K. Daemen, Harris Wu and Zhiwen Ye. Their work appears in journals such as PLoS ONE, Physica A Statistical Mechanics and its Applications, IEEE Access, International Review of Economics & Finance and IEEE Photonics Technology Letters.

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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