Jun Hao
Impact in
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Grey System Theory Applications
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- Vehicle Routing Optimization Methods
Papers in ⓘ
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- Grey System Theory Applications 7
- Stock Market Forecasting Methods 6
- Forecasting Techniques and Applications 5
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- Market Dynamics and Volatility 6
- Co-authors
- Jianping Li (13 shared papers)Xiaolei Sun (12 shared papers)Xiaofeng Xu (3 shared papers)Yao Zheng (1 shared paper)Lean Yu (1 shared paper)Yong Wang (1 shared paper)Qian Feng (1 shared paper)Bao-Jun Tang (2 shared papers)
- Journals
- Journal of Forecasting (2 papers)Expert Systems with Applications (2 papers)Applied Soft Computing (2 papers)Journal of Cleaner Production (2 papers)Information Sciences (1 paper)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Jun Hao
30 papers receiving 709 citations
Peers
Comparison fields: 5 of 108
- Management Science and Operations Research 190
- Industrial and Manufacturing Engineering 90
- Economics and Econometrics 198
- General Energy 7
- Building and Construction 79
Countries citing papers authored by Jun Hao
This map shows the geographic impact of Jun Hao'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 Jun Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Hao more than expected).
Fields of papers citing papers by Jun Hao
This network shows the impact of papers produced by Jun Hao. 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 Jun Hao. The network helps show where Jun Hao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Hao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 83 | |
| 2 | 2018 | 70 | |
| 3 | 2016 | 61 | |
| 4 | 2020 | 50 | |
| 5 | 2020 | 48 | |
| 6 | 2017 | 43 | |
| 7 | 2023 | 42 | |
| 8 | 2021 | 39 | |
| 9 | 2019 | 37 | |
| 10 | 2018 | 33 | |
| 11 | 2023 | 24 | |
| 12 | 2023 | 23 | |
| 13 | 2020 | 22 | |
| 14 | 2022 | 21 | |
| 15 | 2019 | 21 | |
| 16 | 2020 | 20 | |
| 17 | 2020 | 19 | |
| 18 | 2022 | 16 | |
| 19 | 2012 | 14 | |
| 20 | 2023 | 7 |
About Jun Hao
Jun Hao is a scholar working on Management Science and Operations Research, Economics and Econometrics, Industrial and Manufacturing Engineering, Finance and Strategy and Management, having authored 31 papers that have together received 727 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (9 papers), Grey System Theory Applications (7 papers), Stock Market Forecasting Methods (6 papers), Market Dynamics and Volatility (6 papers), Forecasting Techniques and Applications (5 papers), Vehicle Routing Optimization Methods (3 papers), Environmental Impact and Sustainability (3 papers) and Sustainable Supply Chain Management (3 papers). The work is most often cited by research in Management Science and Operations Research (190 citations), Industrial and Manufacturing Engineering (90 citations), Economics and Econometrics (198 citations), General Energy (7 citations) and Building and Construction (79 citations). Jun Hao has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Jianping Li, Xiaolei Sun, Xiaofeng Xu, Yao Zheng, Lean Yu, Yong Wang, Qian Feng, Bao-Jun Tang, Nan Lv and Mingxi Liu. Their work appears in journals such as Journal of Forecasting, Expert Systems with Applications, Applied Soft Computing, Journal of Cleaner Production and Information Sciences.
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.