Yun Bai

4.3k total citations
134 papers, 3.3k citations indexed

About

Yun Bai is a scholar working on Environmental Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Yun Bai has authored 134 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Environmental Engineering, 26 papers in Artificial Intelligence and 22 papers in Electrical and Electronic Engineering. Recurrent topics in Yun Bai's work include Hydrological Forecasting Using AI (15 papers), Air Quality and Health Impacts (13 papers) and Energy Load and Power Forecasting (13 papers). Yun Bai is often cited by papers focused on Hydrological Forecasting Using AI (15 papers), Air Quality and Health Impacts (13 papers) and Energy Load and Power Forecasting (13 papers). Yun Bai collaborates with scholars based in China, Portugal and Australia. Yun Bai's co-authors include Chuan Li, Bo Zeng, Jingjing Xie, Jin Zhang, Zhenzhong Sun, Jianyu Long, Yong Li, Shuai Yang, Shaohui Zhang and Xiaoxue Wang and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Yun Bai

120 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yun Bai China	34	1.1k	757	579	457	455	134	3.3k
P.J. Garcı́a Nieto Spain	37	980 0.9×	862 1.1×	435 0.8×	361 0.8×	561 1.2×	162	4.4k
Kevin Lansey United States	42	1.6k 1.5×	1.0k 1.3×	1.2k 2.1×	1.1k 2.5×	534 1.2×	184	6.8k
Raziyeh Farmani United Kingdom	35	1.5k 1.4×	347 0.5×	413 0.7×	851 1.9×	193 0.4×	146	4.9k
Fouzi Harrou Saudi Arabia	43	462 0.4×	1.1k 1.5×	142 0.2×	301 0.7×	1.4k 3.0×	204	5.3k
Francisco Javier de Cos Juez Spain	27	322 0.3×	548 0.7×	180 0.3×	113 0.2×	387 0.9×	71	2.2k
C.T. Kiranoudis Greece	46	674 0.6×	184 0.2×	202 0.3×	104 0.2×	361 0.8×	150	5.7k
Esperanza García–Gonzalo Spain	24	425 0.4×	264 0.3×	168 0.3×	173 0.4×	289 0.6×	80	2.1k
Solomon Tesfamariam Canada	44	692 0.6×	150 0.2×	179 0.3×	333 0.7×	403 0.9×	265	7.1k
Antonino Marvuglia Luxembourg	30	1.3k 1.2×	1.5k 1.9×	113 0.2×	109 0.2×	241 0.5×	77	3.6k
Joseba Quevedo Spain	34	347 0.3×	523 0.7×	215 0.4×	436 1.0×	2.0k 4.4×	178	3.7k

Countries citing papers authored by Yun Bai

Since Specialization

Citations

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

Fields of papers citing papers by Yun Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Bai

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

Bai, Yun, et al.. (2025). Crack-Detection Algorithm Integrating Multi-Scale Information Gain with Global–Local Tight–Loose Coupling. Entropy. 27(2). 165–165. 1 indexed citations

Rao, Yue, et al.. (2025). Short-chain fatty acids production from hydrothermal conversion wastewater (HTCWW): focusing on microbial community analysis. Bioresource Technology. 438. 133260–133260. 1 indexed citations

Bai, Yun, et al.. (2025). DL-DEIM: An Efficient and Lightweight Detection Framework with Enhanced Feature Fusion for UAV Object Detection. Applied Sciences. 15(22). 11966–11966.

Wu, Zhijun, Yun Bai, Yuan Zhang, Liang Liu, & Meng Yue. (2024). TrustCNAV: Certificateless aggregate authentication of civil navigation messages in GNSS. Computers & Security. 148. 104172–104172.

Bai, Yun, et al.. (2024). Boosting point cloud understanding through graph convolutional network with scale measurement and high-frequency enhancement. Knowledge-Based Systems. 306. 112715–112715. 2 indexed citations

Bai, Yun, et al.. (2024). Incrementally Generative Adversarial Diagnostics Using Few-Shot Enabled One-Class Learning. IEEE Transactions on Industrial Informatics. 20(10). 12189–12199. 8 indexed citations

Li, Yong, Lu Ma, Maofei Ni, Yun Bai, & Chuan Li. (2023). Drivers of ozone-related premature mortality in China: Implications for historical and future scenarios. Journal of Environmental Management. 345. 118663–118663. 7 indexed citations

Li, Chuan, Huahua Zhang, Ping Ding, Shuai Yang, & Yun Bai. (2023). Deep feature extraction in lifetime prognostics of lithium-ion batteries: Advances, challenges and perspectives. Renewable and Sustainable Energy Reviews. 184. 113576–113576. 48 indexed citations

Cabrera, Diego, et al.. (2023). Generative adversarial one-shot diagnosis of transmission faults for industrial robots. Robotics and Computer-Integrated Manufacturing. 83. 102577–102577. 17 indexed citations

10.

Cabrera, Diego, et al.. (2021). A One-Class Generative Adversarial Detection Framework for Multifunctional Fault Diagnoses. IEEE Transactions on Industrial Electronics. 69(8). 8411–8419. 44 indexed citations

11.

Jia, Yanbing, et al.. (2020). Reliability Evaluation of Electricity-Gas Integrated Energy System with Alternative Loads. Electric Power Construction. 41(12). 41. 1 indexed citations

12.

Bai, Yun, et al.. (2019). Battery Remaining Useful Life Prediction with Inheritance Particle Filtering. Energies. 12(14). 2784–2784. 43 indexed citations

13.

Li, Lin, et al.. (2019). Benchmarks for Evaluating Optimization Algorithms and Benchmarking MATLAB Derivative-Free Optimizers for Practitioners’ Rapid Access. IEEE Access. 7. 79657–79670. 9 indexed citations

14.

Zhang, Shaohui, Zhenzhong Sun, Chuan Li, et al.. (2019). Deep Hybrid State Network With Feature Reinforcement for Intelligent Fault Diagnosis of Delta 3-D Printers. IEEE Transactions on Industrial Informatics. 16(2). 779–789. 46 indexed citations

15.

Xie, Jingjing, Xiaoxue Wang, Yü Liu, & Yun Bai. (2018). Autoencoder-based deep belief regression network for air particulate matter concentration forecasting. Journal of Intelligent & Fuzzy Systems. 34(6). 3475–3486. 18 indexed citations

16.

Bai, Yun, et al.. (2018). Effects of SOX5 on MITF-M expression and melanogenesis in mouse skin melanocytes.. 49(1). 83–91. 1 indexed citations

17.

Bai, Yun, et al.. (2016). The nano-PCR assay establishment for detection of Lawsonia intracellularis.. Zhongguo yufang shouyi xuebao. 38(12). 972–975. 1 indexed citations

18.

Bai, Yun. (2008). Technical progress on petroleum ingredient sulfonation and oil recovery. 1 indexed citations

19.

Bai, Yun, et al.. (2007). On XML document security. International Conference on Software Engineering. 39–42.

20.

Bai, Yun. (2002). Maneuver of Composing Examination Papers from Questions in View of Genetic Algorithms. 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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