代表性科研项目-业界研究项目

【1】主持江西电建智信能源科技公司科技项目-集中式光伏与风电场站发电功率预测算法开发与集成（2024）

【2】主持华能湖北公司科技项目-数智交易系统交易机会发现和市场风险识别与预警指标设计（2024）

【3】共同主持国家电网科技项目-华中区域新型电力系统商业模式研究 （2023）

【4】主持华电福建棉花滩水电公司管理咨询项目-基于新时代能源电力行业可持续高质量发展研究（2023）

【5】主持国家电网规划咨询项目-关于健全多层级融合发展的全国统一电力市场体系暨华中区域低碳转型市场运营关键问题研究 （2022）

【6】主持国家电网科技项目-华中区域共享型电力交易与服务平台关键技术研究 （2020）

【7】主持国家电网科技项目- 渝鄂直流运行条件下华中消纳西南水电交易电量库模型建立与效益分析（2019）

【8】共同主持国家电网管理咨询项目-华中电网安全绿色调度管理机制及支撑体系提升研究 （2018）

【9】共同主持国家电网科技项目-跨省区电力市场条件下的大容量输电优化与辅助服务的分担共享等技术研究 （2016）

【10】共同主持国家电网管理咨询项目-利用抽蓄电站消纳清洁能源新型市场模式研究 （2015）

【11】主持教育部-IBM产学合作项目 商业预测案例与实验 （2013）

【12】主持教育部-IBM产学合作项目 商业数据挖掘 （2011）

另2002年-2010年期间主持中国广东核电集团、中国三峡集团科技项目7项。

学术任职与影响

Associate editor – Computers in Industry (Elsevier，计算机应用领域SCI期刊)

Associate editor - Neurocomputing (Elsevier，人工智能领域SCI期刊)

Associate editor – Journal of Systems and Information Technology (Emerald，信息系统领域EI期刊)

Academic editor - International Transactions on Electrical Energy Systems (Hindawi，能源与电气领域SCI期刊)

中国优选法统筹法与经济数学研究会青年工作委员会常务理事

中国计算机模拟学会常务理事

中国决策科学学会常务理事

IEEE Senior Member

《管理学报》英文编辑

入选爱思唯尔中国高被引学者榜单（2020 年度（工商管理）、 2021-2024 年度（管理科学与工程））

入选全球计算机科学领域顶尖科学家（Research.com）（2024）

入选全球前2%顶尖科学家年度/终生影响力榜单（人工智能/商业管理）（美国斯坦福大学和爱思唯尔）（2022-2024）

入选入选ScholarGPS全球前0.05%顶尖科学家榜单（2025）

学术谷歌引用1W+，谷歌H指数57，谷歌i10指数95， Web of Science H指数37 （2025.7）

学术活动

Co-Chair/Session Chair/PC member

AITIC2016, ACALCI2015-2016, ICSI2015, WHICEB2014-2022, ITISE2014-2015, CSO2008-2014, BIFE2008- 2014, ICOTA 8, etc.

Invited Talks

WHICEB2014-2022, MoE-IBM workshops in Business Analytics and Big Data (2012,2015)，中国科协第281次青年科学家论坛

代表性文章-机器学习/人工智能建模技术及应用

1. Sima, Q., Zhang, X., Shen, L. & Bao, Y.* (2025). Multi-scale fused Graph Convolutional Network for multi-site photovoltaic power forecasting. Energy Conversion and Management 333, 119773.

2. Shen, L., Bao, Y.*, Hasan, N., Huang, Y., Zhou. X.& Deng, C. (2024). Intelligent crude oil price probability forecasting: Deep learning models and industry applications. Computers in Industry 163, 104150.

3. Zhang, X., He, K. Sima, Q.&Bao, Y*. (2024). Error-feedback three-phase optimization to configurable convolutional echo state network for time series forecasting. Applied Soft Computing 161, 111715.

4. X Han, J Zhan, Y Bao, B Sun. (2024). Three-way group consensus method based on probabilistic linguistic preference relations with acceptable inconsistency. Information Fusion 103, 102100.

5. X Han, J Zhan, Y Bao, B Sun. (2024). Three-way group consensus with experts' attitudes based on probabilistic linguistic preference relations. Information Sciences 657, 119919

6. Deng, C., Huang, Y., Hasan, N., & Bao, Y*. (2022). Multi-step-ahead Stock Price Index Forecasting using Long Short-Term Memory Model with Multivariate Empirical Mode Decomposition. Information Sciences.

7. Huang, Y., Hasan, N., Deng, C., & Bao, Y*. (2022). Multivariate empirical mode decomposition based hybrid model for day-ahead peak load forecasting. Energy, 239, 122245.

8. Yang, S., & Bao, Y* (2021). Comprehensive learning particle swarm optimization enabled modeling framework for multi-step-ahead influenza prediction. Applied Soft Computing, 107994.

9. Zhang, X., He, K. and Bao, Y*. (2021). Error-feedback stochastic modeling strategy for time series forecasting with convolutional neural networks. Neurocomputing, 459, pp.234-248.

10. Ma, Richie Ruchuan, Tao Xiong, and Yukun Bao. "The Russia–Saudi Arabia oil price war during the COVID-19 pandemic." Energy Economics (2021): 105517.

11. Deng, C., Zhang, X., Huang, Y. and Bao, Y*, 2021. Equipping Seasonal Exponential Smoothing Models with Particle Swarm Optimization Algorithm for Electricity Consumption Forecasting. Energies, 14(13), p.4036.

12. Tao Xiong, Chongguang Li, and Yukun Bao*. Seasonal forecasting of agricultural commodity price using a hybrid STL and ELM method: Evidence from the vegetable market in China. Neurocomputing, 2018, 275: 2831-2844. (SCI)

13. Atuahene S, Bao Y*, Ziggah Y, et al. Short-Term Electric Power Forecasting Using Dual-Stage Hierarchical Wavelet-Particle Swarm Optimization-Adaptive Neuro-Fuzzy Inference System PSO-ANFIS Approach Based On Climate Change[J]. Energies, 2018, 11(10): 2822. (SCI)

14. Zhongyi, Hu, Yukun Bao*, Raymond, Chiong., & Tao Xiong. Profit Guided or Statistical Error Guided? A Study of Stock Index Forecasting Using Support Vector Regression. Journal of Systems Science and Complexity, 2017, 30(6), 1425-1442.(SCI)

15. Tao Xiong, Chongguang Li, and Yukun Bao*. An improved EEMD-based hybrid approach for the short-term forecasting of hog price in China. Agricultural Economics (Zemědělská Ekonomika) 63.3 (2017): 136-148. (SSCI)

16. Tao Xiong, Chongguang Li, and Yukun Bao*. Interval-valued time series forecasting using a novel hybrid Holt I and MSVR model." Economic Modelling, 60 (2017): 11-23. (SSCI)

17. Tao Xiong, Yukun Bao*, Zhongyi Hu, Raymond Chiong. Forecasting Interval Time Series Using Fully Complex-valued RBF Neural Network with DPSO and PSO Algorithm. , Information Sciences, 2015, 305:77-92. (SCI, IF:3.893)DOI: 10.1016/j.ins.2015.01.029

18. Zhongyi Hu, Yukun Bao*, Raymond Chiong. Mid-term Interval Load Forecasting using Multi-output Support Vector Regression with a Memetic Algorithm for Feature Selection. Energy, 2015, 84:419-431. (SCI, IF:4.159, ESI highly cited paper) DOI:10.1016/j.energy.2015.03.054

19. Zhongyi Hu, Yukun Bao*, Tao Xiong, Raymond Chiong. Hybrid Filter-Wrapper Feature Selection for Short-Term Load Forecasting. Engineering Applications of Artificial Intelligence, 2015, 40:17-27. DOI:10.1016/j.engappai.2014.12.014 (SCI, IF:1.962, ESI highly cited paper)

20. Tao Xiong, Chongguang, Li, Yukun Bao*, Zhongyi Hu, Lu Zhang. A Combination Method for Interval Forecasting of Agricultural Commodity Futures Prices. Knowledge-based Systems. 2015, 77:87-100. DOI:10.1016/j.knosys.2015.01.002. (SCI, IF:3.058)

21. Zhongyi Hu, Yukun Bao*, Tao Xiong. Comprehensive Learning Particle Swarm Optimization based Memetic Algorithm for Model Selection in Short-term Load Forecasting using Support Vector Regression. Applied Soft Computing, 2014, 25:15-25. DOI:10.1016/j.asoc.2014.09.007 (SCI, IF:2.679)

22. Yukun Bao*, Tao Xiong, Zhongyi Hu. PSO-MISMO Modeling Strategy for Multi-Step-Ahead Time Series Prediction (Regular paper). IEEE Transactions on Cybernetics (IEEE Transactions on Systems, Man, and Cybernetics, Part B), 2014, 44(5): 655-668. DOI: 10.1109/TCYB.2013.2265084. (SCI, IF:3.781, ESI highly cited paper)

23. Tao Xiong, Yukun Bao*, Zhongyi Hu. Interval Forecasting of Electricity Demand: A Novel Bivariate EMD-based Support Vector Regression Modeling Framework. International Journal of Electrical Power and Energy Systems. 2014, 63:353-362. DOI: 10.1016/j.ijepes.2014.06.010. (SCI, IF:3.432)

24. Yukun Bao*, Tao Xiong, Zhongyi Hu, Multi-Step-Ahead Time Series Prediction using Multiple-Output Support Vector Regression. Neurocomputing, 2014, 129: 482-493. DOI:10.1016/j.neucom.2013.09.010 (SCI, IF:2.005, ESI highly cited paper)

25. Tao Xiong, Yukun Bao*, Zhongyi Hu. Multiple-output support vector regression with firefly algorithm for interval-valued stock price index forecasting. Knowledge-based Systems. 2014, 55:87-100. DOI:10.1016/j.knosys.2013.10.012. (SCI, IF:3.058, ESI highly cited paper)

26. Tao Xiong, Yukun Bao*, Zhongyi Hu. Does Restraining End Effect Matter in EMD-Based Modeling Framework for Time Series Prediction? Some Experimental Evidences. Neurocomputing. 2014, 123:174-184. DOI: 10.1016/ j.neucom.2013.07.004, (SCI, IF:2.005, ESI highly cited paper)

27. Tao Xiong, Yukun Bao*, Zhongyi Hu. Beyond One-Step-Ahead Forecasting: Evaluation of Alternative Multi-Step-Ahead Forecasting Models for Crude Oil Price. Energy Economics. 2013, 40:405-415. DOI: 10.1016/j.eneco.2013.07.028 .(SSCI, IF:2.538)

28. Yukun Bao*, Zhongyi Hu, Tao Xiong. A PSO and Pattern Search based Memetic Algorithm for SVMs Parameters Optimization. Neurocomputing, 2013, 117: 98-106. (SCI, IF: 1.634, ESI highly cited paper, ESI hot paper)

代表性文章-信息系统与信息管理

1. N Thongsri, O Tripak, Y Bao. (2025). Do learners exhibit a willingness to use ChatGPT? An advanced two-stage SEM-neural network approach for forecasting factors influencing ChatGPT adoption. Interactive Technology and Smart Education 22 (2), 217-234

2. N Hasan, Y Bao*, SJ Miah, A Fenton. (2023). Factors influencing the young physicians’ intention to use Internet of Things (IoT) services in healthcare. Information Development 39 (4), 902-919

3. A Ilmudeen, Y Bao*, P Zhang. (2023). Investigating the mediating effect of Business-IT alignment between management of IT investment and firm performance. Information Systems Management 40 (3), 208-228

4. A Khayer, MS Talukder, Y Bao, MN Hossain. (2023). Application-based mobile payment systems: continuance intention and intention to recommend. International Journal of Mobile Communications 21 (1), 19-53

5. Ilmudeen, A., Bao, Y*., & Zhang, P. (2022). Investigating the Mediating Effect of Business-IT Alignment between Management of IT Investment and Firm Performance. Information Systems Management, 1-21.

6. Hasan, N., Bao, Y*., & Miah, S. J. (2022). Exploring the impact of ICT usage among indigenous people and their quality of life: operationalizing Sen’s capability approach. Information Technology for Development, 28(2), 230-250.

7. Hasan, N., Bao, Y*., & Chiong, R. (2022). A multi-method analytical approach to predicting young adults’ intention to invest in mHealth during the COVID-19 pandemic. Telematics and Informatics, 68, 101765.

8. Hasan, N., & Bao, Y*. (2020). Impact of “e-Learning Crack-up” Perception on Psychological Distress among College Students During COVID-19 pandemic: A mediating Role of “Fear of Academic Year Loss”. Children and Youth Services Review, 105355. （ ESI highly cited paper, ESI hot paper）

9. Talukder, M. S., Sorwar, G., Bao, Y*., Ahmed, J. U., & Palash, M. A. S. (2020). Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach. Technological Forecasting and Social Change, 150, 119793.

10. Talukder, M. S., Shen, L., Talukder, M. F. H., & Bao, Y*. (2019). Determinants of user acceptance and use of open government data (OGD): An empirical investigation in Bangladesh. Technology in Society, 56, 147-156.

11. Abul Khayer, Yukun Bao, Bang Nguyen. (2020). Understanding cloud computing success and its impact on firm performance: an integrated approach. Industrial Management & Data Systems, 120(5): 963-985

12. Abul Khayer, Md. Shamim Talukder, Yukun Bao, Md. Nahin Hossain. (2020). Cloud computing adoption and its impact on SMEs’ performance for cloud supported operations: A dual-stage analytical approach. Technology in Society, 60,101225.

13. Ilmudeen, Aboobucker; Bao, Yukun*; Alharbi, Ibraheem Mubarak. " How does business-IT strategic alignment dimension impact on organizational performance measures: Conjecture and empirical analysis." Journal of Enterprise Information Management, 2019, 32(3): 457-476.

14. Thongsri, N., Shen, L., & Bao, Y*. (2019). Investigating factors affecting learner’s perception toward online learning: Evidencefrom ClassStart Application in Thailand. Behaviour & Information Technology, 1–16. Retrieved from https://doi.org/10.1080/0144929X.2019.1581259

15. Thongsri, N., Shen, L., & Bao, Y*. (2019). Investigating Academic Major Differences in perception of Computer Self-efficacy and Intention toward E-learning Adoption in China. Innovations in Education and Teaching International, 1–13. Retrieved from https://doi.org/10.1080/14703297.2019.1585904

16. Talukder, Md Shamim; Chiong, Raymond; Bao, Yukun* and Malik, Babur Hayat. "Acceptance and use predictors of fitness wearable technology and intention to recommend: An empirical study." Industrial Management & Data Systems 119, no. 1 (2019): 170-188. (SCI,SSCI)

17. Aboobucker Ilmudeen, and Yukun Bao*. "Mediating role of managing information technology and its impact on firm performance: insight from China." Industrial Management & Data Systems, 2018, 118(4): 912-929. (SCI, SSCI)

18. Yukun Bao, *, Rakibul Hoque, and Shiyu Wang. Investigating the determinants of Chinese adult children’s intention to use online health information for their aged parents. International Journal of Medical Informatics 102 (2017): 12-20. (SCI, IF:2.363)

19. Md. Rakibul Hoque, Yukun Bao* & Golam Sorwar Investigating Factors Influencing the Adoption of e-Health in Developing Countries: A Patient’s Perspective. Informatics for Health and Social Care, 2017, 42(1), 1-17. (SCI, IF:0.735)

20. MD Rakibul Hoque, Yukun Bao*. Cultural Influence on Adoption and Use of E-health: Evidence in Bangladesh. Telemedicine and e-Health, 2015, 21(10):845-851. (SCI, IF:1.668)

21. Mboni Kibelloh, Yukun Bao*. Perceptions of International Female Students Towards E-learning in Resolving High Education and Family Role Strain. Journal of Educational Computing Research, 2014, 50(4):471-491. (SSCI, IF:0.659)

22. Mboni Kibelloh, Yukun Bao*. Can Online MBA Program Balance Work, Family and Career Aspirations of Professional Working Mothers? A Case Study in China. Asia Pacific Education Researcher, 2014, 23(2): 249-260.. DOI: 10.1007/s40299-013-0101-1. (SSCI, IF:0.793)

23. Yukun Bao*, Tao Xiong, Zhongyi Hu, Mboni Kibelloh. Exploring gender differences on general and specific computer self-efficacy in mobile learning adoption. Journal of Educational Computing Research, 2013, 49(1):111-132. (SSCI, IF:0.44)

获奖

第十三届湖北省社会科学优秀成果二等奖（2022）

第十届湖北省社会科学优秀成果三等奖（2016）

湖北省高等学校人文社会科学研究优秀成果二等奖 （2016）

广东省科技进步三等奖（2006）

湖北省科技进步三等奖（2005）

全国电力行业管理创新三等奖 (2003）

教育部-IBM高校合作项目优秀教师奖(2012)

湖北省优秀博士学位论文指导奖（2016）

湖北省优秀硕士学位论文指导奖（2013）

湖北省优秀学士论文(一等)指导奖(2005,2007,2009)