Biao Wang

3.9k total citations · 6 hit papers
43 papers, 2.9k citations indexed

About

Biao Wang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Biao Wang has authored 43 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Control and Systems Engineering, 16 papers in Mechanical Engineering and 8 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Biao Wang's work include Machine Fault Diagnosis Techniques (19 papers), Non-Destructive Testing Techniques (9 papers) and Fault Detection and Control Systems (6 papers). Biao Wang is often cited by papers focused on Machine Fault Diagnosis Techniques (19 papers), Non-Destructive Testing Techniques (9 papers) and Fault Detection and Control Systems (6 papers). Biao Wang collaborates with scholars based in China, United States and Azerbaijan. Biao Wang's co-authors include Yaguo Lei, Naipeng Li, Ningbo Li, Tao Yan, Liang Guo, Wenting Wang, Yong Qin, Ao Ding, Limin Jia and Lei Shi and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, ACS Applied Materials & Interfaces and Small.

In The Last Decade

Biao Wang

40 papers receiving 2.9k citations

Hit Papers

A Hybrid Prognostics Approach for Estimating Remaining Us... 2018 2026 2020 2023 2018 2020 2019 2019 2020 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
    2018 1.3k citations Biao Wang, Yaguo Lei et al. profile →
  2. An Overview and Future Perspectives of Rechargeable Zinc Batteries
    2020 322 citations Biao Wang et al. profile →
  3. Deep separable convolutional network for remaining useful life prediction of machinery
    2019 311 citations Biao Wang, Yaguo Lei et al. Mechanical Systems and Signal Processing profile →
  4. Recurrent convolutional neural network: A new framework for remaining useful life prediction of machinery
    2019 226 citations Biao Wang, Yaguo Lei et al. profile →
  5. Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery
    2020 199 citations Biao Wang, Yaguo Lei et al. IEEE Transactions on Industrial Electronics profile →
  6. Evolvable graph neural network for system-level incremental fault diagnosis of train transmission systems
    2024 74 citations Ao Ding, Yong Qin et al. Mechanical Systems and Signal Processing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Biao Wang China 16 2.0k 1.2k 568 500 473 43 2.9k
Jian Ma China 23 1.6k 0.8× 924 0.7× 589 1.0× 285 0.6× 811 1.7× 113 2.9k
Wenyu Zhao China 13 983 0.5× 544 0.4× 318 0.6× 309 0.6× 195 0.4× 42 2.0k
Wennian Yu China 23 1.0k 0.5× 1.4k 1.1× 536 0.9× 289 0.6× 148 0.3× 84 2.2k
Kurt Stockman Belgium 21 1.5k 0.7× 931 0.8× 470 0.8× 164 0.3× 1.1k 2.3× 139 2.7k
Cheng‐Geng Huang China 21 986 0.5× 540 0.4× 228 0.4× 316 0.6× 334 0.7× 37 1.7k
Xu Li China 19 1.3k 0.6× 1.4k 1.1× 593 1.0× 116 0.2× 309 0.7× 93 2.6k
Zhiliang Liu China 28 1.8k 0.9× 1.5k 1.2× 767 1.4× 148 0.3× 250 0.5× 108 2.9k
Hongfu Zuo China 20 747 0.4× 495 0.4× 297 0.5× 314 0.6× 321 0.7× 163 1.7k
Yuyan Zhang China 12 1.7k 0.9× 946 0.8× 559 1.0× 110 0.2× 283 0.6× 30 2.3k
Xingqiu Li China 25 2.3k 1.2× 1.5k 1.2× 780 1.4× 115 0.2× 233 0.5× 38 2.8k

Countries citing papers authored by Biao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Biao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Biao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Biao Wang. A scholar is included among the top collaborators of Biao Wang 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 Biao Wang. Biao Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Biao, Yi Ding, Zhaohua Xiao, et al.. (2025). Intratumorally specific microbial-derived lipopolysaccharide contributes to non-small cell lung cancer progression. Virulence. 16(1). 2548626–2548626.
2.
Wang, Xiaochen, Zhe Gao, Wen Zhang, et al.. (2025). Investigating Causal Links Between Gut Microbiota and Neurological Disorders via Genome-Wide Association Studies. Molecular Neurobiology. 62(7). 9000–9017.
3.
Qin, Yong, Zhaojun Li, Biao Wang, et al.. (2025). An In-Depth Tutorial on BJTU-RAO Bogie Datasets for Fault Diagnosis. IEEE Access. 13. 60879–60888. 2 indexed citations
4.
Liu, Wenjing, et al.. (2025). StRUL: stacking-based RUL prediction for bearings with unknown working conditions and failure modes. Measurement Science and Technology. 36(5). 56126–56126. 1 indexed citations
5.
6.
Wang, Ying, et al.. (2024). A novel ensemble electricity load forecasting system based on a decomposition-selection-optimization strategy. Energy. 312. 133524–133524. 4 indexed citations
7.
Chen, Chao, Bo Fang, Shuai Chen, et al.. (2024). Low-dimensional dynamical models of structures with uncertain boundaries via a hybrid knowledge- and data-driven approach. Mechanical Systems and Signal Processing. 223. 111876–111876. 14 indexed citations
8.
Qin, Yong, et al.. (2024). A core space gradient projection-based continual learning framework for remaining useful life prediction of machinery under variable operating conditions. Reliability Engineering & System Safety. 252. 110428–110428. 12 indexed citations
9.
Qin, Yong, et al.. (2024). A Complementary Continual Learning Framework Using Incremental Samples for Remaining Useful Life Prediction of Machinery. IEEE Transactions on Industrial Informatics. 20(12). 14330–14340. 1 indexed citations
10.
Xu, Qizhi, et al.. (2024). Making transformer hear better: Adaptive feature enhancement based multi-level supervised acoustic signal fault diagnosis. Expert Systems with Applications. 264. 125736–125736. 4 indexed citations
11.
Ding, Ao, Yong Qin, Biao Wang, et al.. (2024). Evolvable graph neural network for system-level incremental fault diagnosis of train transmission systems. Mechanical Systems and Signal Processing. 210. 111175–111175. 74 indexed citations breakdown →
12.
Xu, Qizhi, et al.. (2024). Attention on the key modes: Machinery fault diagnosis transformers through variational mode decomposition. Knowledge-Based Systems. 289. 111479–111479. 30 indexed citations
13.
Li, Ming, Min Liang, Shuai Wang, et al.. (2024). Methamphetamine-induced impairment of memory and fleeting neuroinflammation: Profiling mRNA changes in mouse hippocampus following short-term and long-term exposure. Neuropharmacology. 261. 110175–110175. 2 indexed citations
14.
Su, Xin, Nan Gao, Hao Chen, et al.. (2024). Investigation on combustion and emission characteristics of diesel polyoxymethylene dimethyl ethers blend fuels with exhaust gas recirculation and double injection strategy. Journal of Traffic and Transportation Engineering (English Edition). 11(4). 614–630. 5 indexed citations
15.
Ding, Ao, et al.. (2023). Self-driven continual learning for class-added motor fault diagnosis based on unseen fault detector and propensity distillation. Engineering Applications of Artificial Intelligence. 127. 107382–107382. 21 indexed citations
16.
Ding, Ao, Yong Qin, Biao Wang, Limin Jia, & Xiaoqing Cheng. (2022). Lightweight Multiscale Convolutional Networks With Adaptive Pruning for Intelligent Fault Diagnosis of Train Bogie Bearings in Edge Computing Scenarios. IEEE Transactions on Instrumentation and Measurement. 72. 1–13. 50 indexed citations
17.
Wang, Biao, Xueyi Li, Ming Li, et al.. (2022). Dopamine D3 receptor signaling alleviates mouse rheumatoid arthritis by promoting Toll-like receptor 4 degradation in mast cells. Cell Death and Disease. 13(3). 240–240. 11 indexed citations
18.
Li, Naipeng, Yaguo Lei, Nagi Gebraeel, et al.. (2020). Multi-Sensor Data-Driven Remaining Useful Life Prediction of Semi-Observable Systems. IEEE Transactions on Industrial Electronics. 68(11). 11482–11491. 57 indexed citations
19.
Wang, Biao, Teng Chen, Guodong Li, et al.. (2019). Dopamine Alters Lipopolysaccharide-Induced Nitric Oxide Production in Microglial Cells via Activation of D1-Like Receptors. Neurochemical Research. 44(4). 947–958. 24 indexed citations
20.
Wang, Biao, Zhengce Zhang, & Yi Li. (2012). The radial positive solutions of the Matukuma equation in higher dimensional space: Singular solution. Journal of Differential Equations. 253(12). 3232–3265. 5 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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