Bin Pang

2.2k total citations · 1 hit paper
98 papers, 1.7k citations indexed

About

Bin Pang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Bin Pang has authored 98 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Control and Systems Engineering, 35 papers in Mechanical Engineering and 17 papers in Mechanics of Materials. Recurrent topics in Bin Pang's work include Machine Fault Diagnosis Techniques (34 papers), Gear and Bearing Dynamics Analysis (28 papers) and Engineering Diagnostics and Reliability (13 papers). Bin Pang is often cited by papers focused on Machine Fault Diagnosis Techniques (34 papers), Gear and Bearing Dynamics Analysis (28 papers) and Engineering Diagnostics and Reliability (13 papers). Bin Pang collaborates with scholars based in China, United States and Australia. Bin Pang's co-authors include Ming Jia, Yaodong Liu, Maozhao Xie, Guiji Tang, Tian Tian, Mojtaba Nazari, Chong Zhou, Lihua Yuan, Chuanxiong Guo and Ray Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Materials Science and Engineering A.

In The Last Decade

Bin Pang

89 papers receiving 1.7k citations

Hit Papers

Pingmesh 2015 2026 2018 2022 2015 50 100 150 200 250
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. Pingmesh
    2015 290 citations Bin Pang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bin Pang China 20 552 533 469 374 314 98 1.7k
Alok Sinha United States 20 66 0.1× 614 1.2× 133 0.3× 320 0.9× 91 0.3× 126 1.5k
Wilson Wang Canada 25 279 0.5× 1.0k 1.9× 70 0.1× 575 1.5× 51 0.2× 89 2.0k
Dengji Zhou China 21 85 0.2× 498 0.9× 93 0.2× 316 0.8× 39 0.1× 93 1.5k
Xinxin Liu China 21 118 0.2× 956 1.8× 394 0.8× 136 0.4× 477 1.5× 73 2.0k
Rush D. Robinett United States 28 70 0.1× 1.7k 3.2× 332 0.7× 421 1.1× 110 0.4× 197 2.7k
Donghai Li China 32 80 0.1× 2.6k 4.9× 134 0.3× 561 1.5× 142 0.5× 229 3.5k
Mustapha Ouladsine France 19 104 0.2× 1.0k 1.9× 38 0.1× 273 0.7× 61 0.2× 140 1.5k
Jiamei Deng United Kingdom 18 134 0.2× 647 1.2× 27 0.1× 152 0.4× 53 0.2× 89 997
Kartik B. Ariyur United States 17 41 0.1× 1.2k 2.2× 262 0.6× 129 0.3× 141 0.4× 65 1.7k
Aamer Iqbal Bhatti Pakistan 22 160 0.3× 1.1k 2.0× 30 0.1× 374 1.0× 74 0.2× 199 1.7k

Countries citing papers authored by Bin Pang

Since Specialization
Citations

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

Fields of papers citing papers by Bin Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Pang. A scholar is included among the top collaborators of Bin Pang 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 Bin Pang. Bin Pang 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.
Hao, Shuo, et al.. (2025). Low-cycle fatigue behavior of Mn-N bearing duplex stainless steel under consideration of deformation-induced martensitic transformation. Materials Science and Engineering A. 925. 147905–147905. 2 indexed citations
2.
Pang, Bin, Ziyu He, Zhong Liu, et al.. (2025). Thermal deformation behavior and microstructural evolution of AlZnMgCu/TiB2 alloy. Journal of Alloys and Compounds. 1042. 184138–184138.
3.
Pang, Bin, et al.. (2024). Torsional and lateral vibration analysis of wind turbine generator bearing outer ring fault considering unbalanced magnetic pull. Engineering Failure Analysis. 161. 108251–108251. 2 indexed citations
4.
Pang, Bin, et al.. (2024). Fault vibration model driven fault-aware domain generalization framework for bearing fault diagnosis. Advanced Engineering Informatics. 62. 102620–102620. 25 indexed citations
5.
Pang, Bin, et al.. (2024). Hybrid stochastic control strategy by two-layer networks for dissipating urban traffic congestion. Science China Information Sciences. 67(4). 7 indexed citations
6.
Pang, Bin, Guangcan Yang, Xiaoxin Liu, et al.. (2024). Experimental Study of Evaporation Characteristics of Acoustically Levitated Fuel Droplets at High Temperatures. Energies. 17(1). 271–271. 1 indexed citations
7.
Pang, Bin, et al.. (2024). An improved empirical Fourier decomposition method and its application in fault diagnosis of rolling bearing. Journal of Mechanical Science and Technology. 38(3). 1089–1100. 2 indexed citations
8.
Pang, Bin, et al.. (2024). Empirical variational mode extraction and its application in bearing fault diagnosis. Applied Acoustics. 228. 110349–110349. 4 indexed citations
9.
10.
Wang, Chunxiang, et al.. (2023). Comprehensive evaluation of light pollution based on AHP and EWM integrated model. SHILAP Revista de lepidopterología. 393. 3012–3012.
11.
Tang, Guiji, et al.. (2023). Rolling bearing fault diagnosis under time-varying speeds based on time-characteristic order spectrum and multi-scale domain adaptation network. Measurement Science and Technology. 34(12). 125118–125118. 7 indexed citations
12.
Pang, Bin, et al.. (2023). Generalized adaptive singular spectrum decomposition and its application in fault diagnosis of rotating machinery under varying speed. Measurement Science and Technology. 35(3). 36111–36111. 3 indexed citations
13.
Pang, Bin, et al.. (2022). Spectral variational mode extraction and its application in fault detection of rolling bearing. Structural Health Monitoring. 22(1). 449–471. 9 indexed citations
14.
Zhao, Xin, Yunpeng Wang, Xin Liu, et al.. (2022). Single- and Multiple-Adulterants Determinations of Goat Milk Powder by NIR Spectroscopy Combined with Chemometric Algorithms. Agriculture. 12(3). 434–434. 13 indexed citations
15.
Pang, Bin, et al.. (2022). Intelligent Bearing Fault Diagnosis Based on Multivariate Symmetrized Dot Pattern and LEG Transformer. Machines. 10(7). 550–550. 13 indexed citations
16.
Pang, Bin, et al.. (2022). Clustering Group-Sparse Mode Decomposition and Its Application in Rolling Bearing Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 71. 1–11. 11 indexed citations
17.
18.
Pang, Bin, et al.. (2022). Spectral-coherence guided variational mode extraction and its application in rolling bearing fault diagnosis. Measurement Science and Technology. 33(11). 115102–115102. 6 indexed citations
19.
Pang, Bin, et al.. (2021). A boundary division guiding synchrosqueezed wave packet transform method for rolling bearing fault diagnosis. Measurement Science and Technology. 33(5). 55104–55104. 4 indexed citations
20.
Zhao, Nan, Bin Pang, Chi‐Ren Shyu, & Dmitry Korkin. (2011). Feature‐based classification of native and non‐native protein–protein interactions: Comparing supervised and semi‐supervised learning approaches. PROTEOMICS. 11(22). 4321–4330. 10 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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