Bing Xing Wang

1.4k total citations
63 papers, 1.1k citations indexed

About

Bing Xing Wang is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Bing Xing Wang has authored 63 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Statistics and Probability, 35 papers in Statistics, Probability and Uncertainty and 23 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Bing Xing Wang's work include Statistical Distribution Estimation and Applications (34 papers), Probabilistic and Robust Engineering Design (24 papers) and Reliability and Maintenance Optimization (23 papers). Bing Xing Wang is often cited by papers focused on Statistical Distribution Estimation and Applications (34 papers), Probabilistic and Robust Engineering Design (24 papers) and Reliability and Maintenance Optimization (23 papers). Bing Xing Wang collaborates with scholars based in China, United States and Hong Kong. Bing Xing Wang's co-authors include Keming Yu, Yili Hong, Zhi‐Sheng Ye, Ancha Xu, Yincai Tang, Lijuan Shen, Jun Zhou, Min Xie, M. C. Jones and Xiaofei Wang and has published in prestigious journals such as Technometrics, European Journal of Operational Research and International Journal of Production Research.

In The Last Decade

Bing Xing Wang

62 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Xing Wang China 20 627 603 453 103 95 63 1.1k
G. Srinivasa Rao Tanzania 20 1.2k 1.9× 1.1k 1.9× 403 0.9× 317 3.1× 66 0.7× 131 1.5k
Qingyu Yang United States 13 143 0.2× 171 0.3× 282 0.6× 19 0.2× 70 0.7× 48 465
Jingyuan Shen China 21 252 0.4× 363 0.6× 780 1.7× 14 0.1× 44 0.5× 45 933
Kyungmee O. Kim South Korea 12 80 0.1× 188 0.3× 259 0.6× 54 0.5× 19 0.2× 30 425
S. Carlos Spain 15 46 0.1× 374 0.6× 423 0.9× 34 0.3× 25 0.3× 37 796
Liu Du United States 13 73 0.1× 1.1k 1.7× 193 0.4× 270 2.6× 172 1.8× 23 1.2k
Bei Wu China 17 93 0.1× 297 0.5× 467 1.0× 9 0.1× 19 0.2× 45 659
Jyh-Bin Ke Taiwan 7 58 0.1× 283 0.5× 299 0.7× 21 0.2× 81 0.9× 8 593
Takao Yokota Japan 11 45 0.1× 87 0.1× 154 0.3× 48 0.5× 26 0.3× 25 520
Hong-Zhong Huang China 7 27 0.0× 241 0.4× 104 0.2× 146 1.4× 80 0.8× 12 560

Countries citing papers authored by Bing Xing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bing Xing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Xing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Xing Wang. A scholar is included among the top collaborators of Bing Xing 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 Bing Xing Wang. Bing Xing 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, Bing Xing, et al.. (2024). Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Function. 809–813. 12 indexed citations
2.
Wang, Bing Xing, et al.. (2024). Reliability Evaluation for the Exponential Load-Sharing System Based on System Accelerated Life Testing Data. IEEE Transactions on Reliability. 74(3). 3126–3136. 2 indexed citations
3.
4.
Wang, Bing Xing, et al.. (2024). Reducing Bias in Deep Learning Optimization: The RSGDM Approach. 99–103. 9 indexed citations
5.
Wang, Bing Xing, et al.. (2024). Dual-Branch Dynamic Graph Convolutional Network for Robust Multi-Label Image Classification. International Journal of Innovative Research in Computer Science & Technology. 12(5). 94–99. 11 indexed citations
6.
Wang, Bing Xing, et al.. (2023). Inference for the Johnson S B distribution. Communications in Statistics - Simulation and Computation. 53(12). 6571–6590. 1 indexed citations
7.
Xu, Yang, et al.. (2023). Effect of deformation and annealing process on microstructure and properties of Inconel 718 foil. Materials Characterization. 205. 113322–113322. 3 indexed citations
8.
Wang, Bing Xing, et al.. (2023). The prediction of remaining useful lifetime for the Weibull k-out-of-n load-sharing system. Reliability Engineering & System Safety. 233. 109091–109091. 18 indexed citations
9.
Wang, Bing Xing, et al.. (2022). Inference for constant stress accelerated life test under the proportional reverse hazards lifetime distribution. Quality and Reliability Engineering International. 38(8). 4223–4235. 3 indexed citations
10.
Lu, Lu, Bing Xing Wang, Yili Hong, & Zhi‐Sheng Ye. (2020). General Path Models for Degradation Data With Multiple Characteristics and Covariates. Technometrics. 63(3). 354–369. 47 indexed citations
11.
Wang, Bing Xing, et al.. (2018). Inference for constant-stress accelerated degradation test based on Gamma process. Applied Mathematical Modelling. 67. 123–134. 34 indexed citations
12.
Wang, Bing Xing, et al.. (2017). Inference for the generalized exponential stress-strength model. Applied Mathematical Modelling. 53. 267–275. 31 indexed citations
13.
Wang, Bing Xing, et al.. (2017). The Design of the S2 Control Charts Based on Conditional Performance via Exact Methods. Quality and Reliability Engineering International. 33(7). 1567–1575. 14 indexed citations
14.
Wang, Bing Xing, et al.. (2017). Synthetic exponential control charts with unknown parameter. Communications in Statistics - Simulation and Computation. 47(8). 2360–2377. 8 indexed citations
15.
Wang, Bing Xing, et al.. (2015). The variable sampling interval S 2 chart with known or unknown in-control variance. International Journal of Production Research. 54(11). 3365–3379. 10 indexed citations
16.
Zhang, Tian, Bing Xing Wang, Zhaodong Wang, & Guodong Wang. (2015). Side-surface Shape Optimization of Heavy Plate by Large Temperature Gradient Rolling. ISIJ International. 56(1). 179–182. 11 indexed citations
17.
Wang, Bing Xing, et al.. (2014). New Inference for Constant-Stress Accelerated Life Tests With Weibull Distribution and Progressively Type-II Censoring. IEEE Transactions on Reliability. 63(3). 807–815. 38 indexed citations
18.
Yu, Keming, Bing Xing Wang, & Valentin Patilea. (2012). New estimating equation approaches with application in lifetime data analysis. Annals of the Institute of Statistical Mathematics. 65(3). 589–615. 12 indexed citations
19.
Wang, Bing Xing, et al.. (2011). Application of Advanced Cooling Control System for Plate Mill. Advanced materials research. 189-193. 2515–2521. 1 indexed citations
20.
Wang, Bing Xing. (2008). Goodness-of-fit test for the exponential distribution based on progressively Type-II censored sample. Journal of Statistical Computation and Simulation. 78(2). 125–132. 32 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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