Pu Wang

1.2k total citations · 1 hit paper
43 papers, 906 citations indexed

About

Pu Wang is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Pu Wang has authored 43 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Control and Systems Engineering, 17 papers in Artificial Intelligence and 8 papers in Mechanical Engineering. Recurrent topics in Pu Wang's work include Fault Detection and Control Systems (12 papers), Speech Recognition and Synthesis (6 papers) and Mineral Processing and Grinding (6 papers). Pu Wang is often cited by papers focused on Fault Detection and Control Systems (12 papers), Speech Recognition and Synthesis (6 papers) and Mineral Processing and Grinding (6 papers). Pu Wang collaborates with scholars based in China, Belgium and Norway. Pu Wang's co-authors include Ruqiang Yan, Siyu Shao, Borui Hou, Jianyong Yang, Xuejin Gao, Hugo Van hamme, Aijun Yan, Liying Fang, Honggui Han and Huayun Han and has published in prestigious journals such as SHILAP Revista de lepidopterología, Automatica and IEEE Access.

In The Last Decade

Pu Wang

39 papers receiving 874 citations

Hit Papers

align trajectories

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.

Generative adversarial networks for data augmentation in machine fault diagnosis

2019 418 citations Pu Wang, Ruqiang Yan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pu Wang China	11	379	225	211	202	169	43	906
Jacek M. Łęski Poland	22	146 0.4×	134 0.6×	346 1.6×	694 3.4×	217 1.3×	85	1.6k
Xun Lang China	18	517 1.4×	150 0.7×	49 0.2×	116 0.6×	30 0.2×	64	824
Arvind Kumar Tiwari India	12	125 0.3×	62 0.3×	298 1.4×	181 0.9×	177 1.0×	67	929
Li Qiao China	16	73 0.2×	48 0.2×	308 1.5×	143 0.7×	164 1.0×	72	1.0k
Yinggao Yue China	20	126 0.3×	42 0.2×	132 0.6×	357 1.8×	94 0.6×	53	1.2k
Sanjay V. Dudul India	13	285 0.8×	135 0.6×	30 0.1×	148 0.7×	42 0.2×	54	664
Guoliang Lu China	18	442 1.2×	245 1.1×	29 0.1×	163 0.8×	108 0.6×	64	903
Xiao-Hua Yu United States	15	237 0.6×	31 0.1×	189 0.9×	83 0.4×	110 0.7×	72	878
Nitin Kumar Saxena India	17	286 0.8×	42 0.2×	103 0.5×	136 0.7×	64 0.4×	86	830
Didier Maquin France	23	1.2k 3.3×	146 0.6×	39 0.2×	248 1.2×	125 0.7×	111	1.6k

Countries citing papers authored by Pu Wang

Since Specialization

Citations

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

Fields of papers citing papers by Pu Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pu Wang

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

1.

Wang, Pu & Hugo Van hamme. (2025). Disentangled-Transformer: An Explainable End-to-End Automatic Speech Recognition Model with Speech Content-Context Separation. Lirias (KU Leuven). 1–7. 1 indexed citations

2.

Wang, Pu, et al.. (2024). A Ship’s Maritime Critical Target Identification Method Based on Lightweight and Triple Attention Mechanisms. Journal of Marine Science and Engineering. 12(10). 1839–1839. 3 indexed citations

3.

Wang, Pu & Hugo Van hamme. (2023). Benefits of pre-trained mono- and cross-lingual speech representations for spoken language understanding of Dutch dysarthric speech. EURASIP Journal on Audio Speech and Music Processing. 2023(1). 12 indexed citations

4.

Wang, Pu. (2023). The connotation and influencing factors of student leadership. SHILAP Revista de lepidopterología. 180. 4004–4004. 2 indexed citations

5.

Zhang, Haili, Pu Wang, Xuejin Gao, Huihui Gao, & Yongsheng Qi. (2020). Automated Fault Detection Using Convolutional Auto Encoder and k Nearest Neighbor Rule for Semiconductor Manufacturing Processes. 83–87. 7 indexed citations

6.

Gao, Xuejin, et al.. (2020). Batch process monitoring using multiway Laplacian autoencoders. The Canadian Journal of Chemical Engineering. 98(6). 1269–1279. 14 indexed citations

7.

Zhang, Haili, Pu Wang, Xuejin Gao, Yongsheng Qi, & Huihui Gao. (2019). Amplitude‐frequency images‐based ConvNet: Applications of fault detection and diagnosis in chemical processes. Journal of Chemometrics. 33(9). 14 indexed citations

8.

Xu, Wei, et al.. (2018). Learning Sentences Similarity By Multi-Head Attention. 16–19. 3 indexed citations

9.

Wang, Pu & Ruqiang Yan. (2017). Gear Damage Severity Evaluation Based on Cross Recurrence Quantification Analysis. 533–537. 4 indexed citations

10.

Wu, Xiaojun, Liying Fang, Pu Wang, & Nan Yu. (2015). Performance of using LDA for Chinese news text classification. 1260–1264. 11 indexed citations

11.

Gao, Xuejin, Siyu Wang, & Pu Wang. (2015). The evaluation method of PID controller parameter tuning based on Fluent. 4850–4854. 2 indexed citations

12.

Wang, Pu, et al.. (2014). Online monitoring of batch process using Sub-phase based Principal Component Analysis. 315. 5150–5155. 1 indexed citations

13.

Gao, Xuejin, et al.. (2013). Batch process monitoring and fault diagnosis based on improved MPLS. Chinese Control Conference. 6300–6304. 1 indexed citations

14.

Wang, Pu. (2010). Pack Optimization Problem: Models and Solution Methods. NCSU Libraries Repository (North Carolina State University Libraries). 2 indexed citations

15.

Wang, Pu. (2009). The Application of Genetic Algorithm in the Energy Optimization Control of the VAV system. Control Engineering of China.

16.

Yan, Jianzhuo, et al.. (2009). Ontology-Based Fast Devices Configuration in 3D Configuration Software. 8. 122–124. 1 indexed citations

17.

Fang, Liying, et al.. (2009). Ontology-Based Measure of Semantic Similarity between Concepts. 15. 109–112. 10 indexed citations

18.

Gao, Xuejin, et al.. (2009). Comparison Studies of LS_SVM and SVM on Modeling for Fermentation Processes. 18. 478–484. 2 indexed citations

19.

Yan, Jianzhuo, et al.. (2009). Measuring Semantic Similarity Based on WordNet. 89–92. 6 indexed citations

20.

Liu, Yi, et al.. (2003). A Simplified Latent Semantic Indexing Approach for Multi-Linguistic Information Retrieval. Waseda University Repository (Waseda University). 69–79. 3 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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