Jun Hao

939 total citations
31 papers, 727 citations indexed

About

Jun Hao is a scholar working on Management Science and Operations Research, Economics and Econometrics and Electrical and Electronic Engineering. According to data from OpenAlex, Jun Hao has authored 31 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Management Science and Operations Research, 10 papers in Economics and Econometrics and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Jun Hao's work include Energy Load and Power Forecasting (9 papers), Grey System Theory Applications (7 papers) and Stock Market Forecasting Methods (6 papers). Jun Hao is often cited by papers focused on Energy Load and Power Forecasting (9 papers), Grey System Theory Applications (7 papers) and Stock Market Forecasting Methods (6 papers). Jun Hao collaborates with scholars based in China, United States and Saudi Arabia. Jun Hao's co-authors include Jianping Li, Xiaolei Sun, Xiaofeng Xu, Yao Zheng, Lean Yu, Yong Wang, Qian Feng, Mingxi Liu, Nan Lv and Bao-Jun Tang and has published in prestigious journals such as Oncogene, Journal of Cleaner Production and Expert Systems with Applications.

In The Last Decade

Jun Hao

30 papers receiving 709 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Hao China	17	198	190	160	90	80	31	727
Ayşe Özmen Türkiye	17	114 0.6×	303 1.6×	236 1.5×	68 0.8×	118 1.5×	23	930
Sasan Barak Iran	14	122 0.6×	438 2.3×	243 1.5×	109 1.2×	78 1.0×	26	918
Xiuzhi Sang China	15	220 1.1×	301 1.6×	173 1.1×	39 0.4×	82 1.0×	30	786
Hiroshi Morita Japan	17	189 1.0×	348 1.8×	147 0.9×	137 1.5×	51 0.6×	73	857
Peng Wu China	20	201 1.0×	157 0.8×	170 1.1×	396 4.4×	145 1.8×	94	1.3k
Michal Kaut Norway	14	117 0.6×	379 2.0×	353 2.2×	179 2.0×	71 0.9×	32	1.1k
Tianxiang Cui China	17	183 0.9×	133 0.7×	97 0.6×	89 1.0×	36 0.5×	57	617
Yelin Fu China	17	182 0.9×	283 1.5×	38 0.2×	115 1.3×	167 2.1×	61	890
Xiaofeng Xu China	14	241 1.2×	92 0.5×	155 1.0×	210 2.3×	195 2.4×	39	1.1k

Countries citing papers authored by Jun Hao

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jun Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Hao. A scholar is included among the top collaborators of Jun Hao 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 Jun Hao. Jun Hao 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

Hao, Jun, et al.. (2025). A LightGBM-Based Pricing Method for Healthcare Data. Procedia Computer Science. 266. 1102–1108.

Hao, Jun, et al.. (2024). A reliable ensemble forecasting modeling approach for complex time series with distributionally robust optimization. Computers & Operations Research. 173. 106831–106831. 2 indexed citations

Hao, Jun, et al.. (2024). Forecasting sovereign CDS spreads with a regime‐switching combination method. Journal of Forecasting. 43(8). 3089–3103. 1 indexed citations

Li, Jianping, et al.. (2023). A dynamic clustering ensemble learning approach for crude oil price forecasting. Engineering Applications of Artificial Intelligence. 123. 106408–106408. 24 indexed citations

Hao, Jun, et al.. (2023). A dynamic ensemble approach for multi-step price prediction: Empirical evidence from crude oil and shipping market. Expert Systems with Applications. 234. 121117–121117. 7 indexed citations

Hao, Jun, Qian Feng, Jianping Li, & Xiaolei Sun. (2023). A bi‐level ensemble learning approach to complex time series forecasting: Taking exchange rates as an example. Journal of Forecasting. 42(6). 1385–1406. 42 indexed citations

Hao, Jun, et al.. (2023). The evolution of data pricing: From economics to computational intelligence. Heliyon. 9(9). e20274–e20274. 5 indexed citations

Zhang, Xu, et al.. (2023). Contemporaneous and noncontemporaneous idiosyncratic risk spillovers in commodity futures markets: A novel network topology approach. Journal of Futures Markets. 43(6). 705–733. 23 indexed citations

Hao, Jun, Jianping Li, & Dengsheng Wu. (2023). Bibliometric analysis of risk science from 1996 to 2021: insights and implications. Journal of Risk Research. 26(5). 485–501. 7 indexed citations

10.

Bao, Han, et al.. (2022). Research on the impact of environmental regulation on urban green development in the Yangtze River Delta: An analysis of intermediary mechanism based on technological innovation. 自然资源学报. 37(6). 1572–1572. 16 indexed citations

11.

Hao, Jun, et al.. (2022). Forecasting short-term tourism demand with a decomposition-ensemble strategy. Procedia Computer Science. 199. 879–884. 4 indexed citations

12.

Hao, Jun, et al.. (2022). A dynamic ensemble learning with multi-objective optimization for oil prices prediction. Resources Policy. 79. 102956–102956. 21 indexed citations

13.

Hao, Jun, et al.. (2022). A dynamic ensemble learning approach with spectral clustering for beef and lamb prices prediction. Procedia Computer Science. 214. 1190–1197. 2 indexed citations

14.

Hao, Jun, Jianping Li, Dengsheng Wu, & Xiaolei Sun. (2020). Portfolio optimisation of material purchase considering supply risk – A multi-objective programming model. International Journal of Production Economics. 230. 107803–107803. 19 indexed citations

15.

Sun, Xiaolei, Jun Hao, & Jianping Li. (2020). Multi-objective optimization of crude oil-supply portfolio based on interval prediction data. Annals of Operations Research. 309(2). 611–639. 48 indexed citations

16.

Hao, Jun, et al.. (2020). A Novel Ensemble Approach for the Forecasting of Energy Demand Based on the Artificial Bee Colony Algorithm. Energies. 13(3). 550–550. 20 indexed citations

17.

Li, Jianping, et al.. (2020). Optimal selection of heterogeneous ensemble strategies of time series forecasting with multi-objective programming. Expert Systems with Applications. 166. 114091–114091. 50 indexed citations

18.

Wang, Qian, Yujie Hu, Jun Hao, et al.. (2019). Exploring the influences of green industrial building on the energy consumption of industrial enterprises: A case study of Chinese cigarette manufactures. Journal of Cleaner Production. 231. 370–385. 37 indexed citations

19.

Tu, Qiu, Jun Hao, Xin Zhou, et al.. (2017). CDKN2B deletion is essential for pancreatic cancer development instead of unmeaningful co-deletion due to juxtaposition to CDKN2A. Oncogene. 37(1). 128–138. 43 indexed citations

20.

Sarkar, Taradas, Tam Luong Nguyen, Jun Hao, et al.. (2012). Interaction of pseudolaric acid B with the colchicine site of tubulin. Biochemical Pharmacology. 84(4). 444–450. 14 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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